mailHow to get model free parameters from output files


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Posted by mengjun . xue on January 08, 2013 - 13:58:
Dear Dr. Edward d'Auvergne,

I have tried to run mf_multimodel.py under relax-2.1.2 for analysis of single field data (demo data ubq), it seems it work well. I also run modsel.py, the model M5 is good for most residues. I would like to ask you about the output file, the model free parameters calculated (for example, M5) are dispersed in the text of output file (resultS.bz2, or log file), how to get the model free parameters from these output files, so that the parameters can be input to other software,for exapmple, origin or sigmaplot. Attached please find the log file or results.bz2 for M5. Thank you.

With best regards,

Mengjun Xue



                                  relax 2.1.2

                    Molecular dynamics by NMR data analysis

                   Copyright (C) 2001-2006 Edward d'Auvergne
              Copyright (C) 2006-2012 the relax development team

This is free software which you are welcome to modify and redistribute under
the conditions of the GNU General Public License (GPL).  This program,
including all modules, is licensed under the GPL and comes with absolutely no
warranty.  For details type 'GPL' within the relax prompt.

Assistance in using the relax prompt and scripting interface can be accessed 
by
typing 'help' within the prompt.

Processor fabric:  Uni-processor.

script = 'mf_multimodel.py'
----------------------------------------------------------------------------------------------------
###############################################################################
#                                                                             
#
# Copyright (C) 2003-2012 Edward d'Auvergne                                   
#
#                                                                             
#
# This file is part of the program relax (http://www.nmr-relax.com).          
#
#                                                                             
#
# This program is free software: you can redistribute it and/or modify        
#
# it under the terms of the GNU General Public License as published by        
#
# the Free Software Foundation, either version 3 of the License, or           
#
# (at your option) any later version.                                         
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#                                                                             
#
# This program is distributed in the hope that it will be useful,             
#
# but WITHOUT ANY WARRANTY; without even the implied warranty of              
#
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the               
#
# GNU General Public License for more details.                                
#
#                                                                             
#
# You should have received a copy of the GNU General Public License           
#
# along with this program.  If not, see <http://www.gnu.org/licenses/>.       
#
#                                                                             
#
###############################################################################

"""This script performs a model-free analysis for the models 'm0' to 'm9' (or 
'tm0' to 'tm9')."""


# Set the data pipe names (also the names of preset model-free models).
#pipes = ['tm0', 'tm1', 'tm2', 'tm3', 'tm4', 'tm5', 'tm6', 'tm7', 'tm8', 
'tm9']
pipes = ['m0', 'm1', 'm2', 'm3', 'm4', 'm5', 'm6', 'm7', 'm8', 'm9']

# Loop over the pipes.
for name in pipes:
    # Create the data pipe.
    pipe.create(name, 'mf')
    
    # Load a PDB file.
    structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

    # Set up the 15N and 1H spins.
    structure.load_spins('@N', ave_pos=True)
    structure.load_spins('@H', ave_pos=True)
    spin.isotope('15N', spin_id='@N')
    spin.isotope('1H', spin_id='@H')

    # Load the relaxation data.
    bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
    bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
    bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
    
    # Set up the diffusion tensor.
    diffusion_tensor.init(1e-8, fixed=True)
    #diffusion_tensor.init((1e-8, 1.0, 60, 290), param_types=0, 
spheroid_type='oblate', fixed=True)

    # Define the magnetic dipole-dipole relaxation interaction.
    dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
    dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', ave_dist=1.02 * 1e-10)
    structure.get_pos('@N')
    structure.get_pos('@H')
    dipole_pair.unit_vectors()

    # Define the chemical shift relaxation interaction.
    value.set(-172 * 1e-6, 'csa', spin_id='@N')

    # Select the model-free model.
    model_free.select_model(model=name)

    # Minimise.
    grid_search(inc=11)
    minimise('newton')

    # Write the results.
    results.write(file='results', force=True)

# Save the program state.
state.save('save', force=True)
----------------------------------------------------------------------------------------------------

relax> pipe.create(pipe_name='m0', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m0', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (50151.8970808 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (39368.8507304 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (56601.1034575 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (59274.9805621 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (28414.0155138 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (19305.5948627 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (7842.60210321 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (3781.50346 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (8627.42017245 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (10580.3222373 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (5974.295794 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (43201.419259 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (64378.1351041 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (9706.92131356 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (31901.7385104 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (36688.1973052 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (29236.1209506 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (14693.498675 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (11828.2190024 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (53114.7383169 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (5759.44183844 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (10148.3670477 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (31761.3352403 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (20772.3551267 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (121008.481134 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (30461.8326521 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (32400.4209806 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (24333.8242869 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (8798.89588779 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (187644.355656 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (137816.720218 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (32646.8484152 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (24011.8195926 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (330155.066455 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (321956.630084 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (251712.346799 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (8831.5121545 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (38269.266056 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (32403.1713618 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (20021.0394765 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (4017.78153016 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (34188.66636 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (10760.4528135 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (13882.3769403 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (34693.8810857 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (24771.7040471 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (13907.8737731 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (34656.1926498 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (19247.1541153 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (93372.9276299 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (46779.8084327 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (58140.4279745 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (134805.767675 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (38168.4771989 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (23523.7453892 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (69675.4374584 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (73515.1462716 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (30221.2801489 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (31667.0677788 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (18861.9203426 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (103952.95882 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (11806.1465463 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (28732.6724056 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (7082.46739167 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (14487.6561193 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (31145.5361701 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (34838.3527053 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (48787.609766 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run a grid search on a model with zero parameters, directly 
calculating the function value.
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (155028.445788 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   50151.897080832183
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (50151.8970808 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   39368.850730357837
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (39368.8507304 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   56601.103457486766
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (56601.1034575 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   59274.980562088771
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (59274.9805621 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   28414.01551377392
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (28414.0155138 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   19305.594862655678
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (19305.5948627 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   7842.6021032058434
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (7842.60210321 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   3781.5034600036065
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (3781.50346 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   8627.4201724469203
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (8627.42017245 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   10580.322237325872
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (10580.3222373 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   5974.2957939991638
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (5974.295794 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   43201.419258976217
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (43201.419259 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   64378.135104137735
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (64378.1351041 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   9706.9213135565624
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (9706.92131356 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   31901.738510402007
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (31901.7385104 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   36688.197305194226
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (36688.1973052 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   29236.120950577286
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (29236.1209506 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   14693.498674951747
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (14693.498675 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   11828.219002439513
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (11828.2190024 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   53114.738316871983
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (53114.7383169 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   5759.4418384437258
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (5759.44183844 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   10148.36704768798
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (10148.3670477 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   31761.33524028596
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (31761.3352403 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   20772.355126671464
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (20772.3551267 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   121008.48113405341
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (121008.481134 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   30461.832652067402
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (30461.8326521 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   32400.420980594445
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (32400.4209806 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   24333.824286905299
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (24333.8242869 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   8798.8958877918449
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (8798.89588779 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   187644.35565559106
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (187644.355656 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   137816.72021846243
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (137816.720218 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   32646.848415245782
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (32646.8484152 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   24011.819592648942
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (24011.8195926 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   330155.06645520107
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (330155.066455 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   321956.63008391554
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (321956.630084 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   251712.34679890063
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (251712.346799 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   8831.5121544971953
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (8831.5121545 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   38269.266055989625
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (38269.266056 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   32403.171361844241
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (32403.1713618 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   20021.039476493526
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (20021.0394765 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   4017.7815301622936
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (4017.78153016 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   34188.666360002811
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (34188.66636 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   10760.452813546677
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (10760.4528135 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   13882.376940291642
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (13882.3769403 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   34693.881085712492
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (34693.8810857 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   24771.70404712098
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (24771.7040471 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   13907.873773058216
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (13907.8737731 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   34656.192649823795
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (34656.1926498 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   19247.154115349695
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (19247.1541153 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   93372.927629879196
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (93372.9276299 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   46779.808432721002
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (46779.8084327 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   11364.039435651424
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   58140.427974508078
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (58140.4279745 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   134805.76767458854
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (134805.767675 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   38168.477198869463
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (38168.4771989 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   23523.745389202821
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (23523.7453892 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   69675.437458435248
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (69675.4374584 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   73515.146271587801
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (73515.1462716 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   30221.280148914542
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (30221.2801489 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   31667.067778758421
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (31667.0677788 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   18861.920342601159
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (18861.9203426 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   103952.95881971213
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (103952.95882 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   11806.146546342896
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (11806.1465463 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   28732.672405598099
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (28732.6724056 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   7082.4673916693573
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (7082.46739167 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   14487.656119301671
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (14487.6561193 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   31145.536170070463
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (31145.5361701 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   34838.352705323967
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (34838.3527053 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   48787.60976603139
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (48787.609766 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cannot run optimisation on a model with zero parameters, directly calculating 
the function value.

Parameter values: []
Function value:   155028.44578782615
Iterations:       0
Function calls:   1
Gradient calls:   0
Hessian calls:    0
Warning:          No optimisation

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (155028.445788 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm0\\results.bz2' for writing.

relax> pipe.create(pipe_name='m1', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m1', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 52402.8136361       
k: 1        xk: [         0.1] fk: 38975.5634183       
k: 2        xk: [         0.2] fk: 29623.7474228       
k: 3        xk: [         0.3] fk: 22920.3391391       
k: 4        xk: [         0.4] fk: 18865.338567        
k: 5        xk: [         0.5] fk: 17458.7457067       
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17458.7457067 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 67957.530941        
k: 1        xk: [         0.1] fk: 54901.963067        
k: 2        xk: [         0.2] fk: 45137.3814197       
k: 3        xk: [         0.3] fk: 37382.4698415       
k: 4        xk: [         0.4] fk: 31637.2283324       
k: 5        xk: [         0.5] fk: 27901.6568925       
k: 6        xk: [         0.6] fk: 26175.7555218       
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (26175.7555218 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 46589.4290117       
k: 1        xk: [         0.1] fk: 33988.0111311       
k: 2        xk: [         0.2] fk: 24843.9456251       
k: 3        xk: [         0.3] fk: 18614.0379492       
k: 4        xk: [         0.4] fk: 15298.2881032       
k: 5        xk: [         0.5] fk: 14896.6960872       
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14896.6960872 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34435.2127284       
k: 1        xk: [         0.1] fk: 23005.616111        
k: 2        xk: [         0.2] fk: 15678.1163394       
k: 3        xk: [         0.3] fk: 11189.9738566       
k: 4        xk: [         0.4] fk: 9541.18866251       
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9541.18866251 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31683.9847331       
k: 1        xk: [         0.1] fk: 23514.0970791       
k: 2        xk: [         0.2] fk: 18109.8764812       
k: 3        xk: [         0.3] fk: 14192.8198782       
k: 4        xk: [         0.4] fk: 11762.9272701       
k: 5        xk: [         0.5] fk: 10820.1986569       
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10820.1986569 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 24164.5370766       
k: 1        xk: [         0.1] fk: 18020.3030145       
k: 2        xk: [         0.2] fk: 14225.3687247       
k: 3        xk: [         0.3] fk: 11414.8705587       
k: 4        xk: [         0.4] fk: 9588.80851655       
k: 5        xk: [         0.5] fk: 8747.18259812       
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8747.18259812 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 11277.3525666       
k: 1        xk: [         0.1] fk: 7687.02751494       
k: 2        xk: [         0.2] fk: 6336.83368525       
k: 3        xk: [         0.3] fk: 5328.50982932       
k: 4        xk: [         0.4] fk: 4662.05594716       
k: 5        xk: [         0.5] fk: 4337.47203876       
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4337.47203876 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 7097.25569836       
k: 1        xk: [         0.1] fk: 4446.49286775       
k: 2        xk: [         0.2] fk: 3731.97185812       
k: 3        xk: [         0.3] fk: 3177.60917292       
k: 4        xk: [         0.4] fk: 2783.40481212       
k: 5        xk: [         0.5] fk: 2549.35877574       
k: 6        xk: [         0.6] fk: 2475.47106376       
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (2475.47106376 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 15125.8852796       
k: 1        xk: [         0.1] fk: 9179.68854377       
k: 2        xk: [         0.2] fk: 7793.61580502       
k: 3        xk: [         0.3] fk: 6738.72046287       
k: 4        xk: [         0.4] fk: 6015.00251731       
k: 5        xk: [         0.5] fk: 5622.46196835       
k: 6        xk: [         0.6] fk: 5561.09881598       
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (5561.09881598 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 19671.2796207       
k: 1        xk: [         0.1] fk: 12173.5168307       
k: 2        xk: [         0.2] fk: 10539.1690187       
k: 3        xk: [         0.3] fk: 9269.15275435       
k: 4        xk: [         0.4] fk: 8363.46803761       
k: 5        xk: [         0.5] fk: 7822.1148685        
k: 6        xk: [         0.6] fk: 7645.09324701       
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (7645.09324701 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 9994.98830359       
k: 1        xk: [         0.1] fk: 6281.59033399       
k: 2        xk: [         0.2] fk: 5241.00997239       
k: 3        xk: [         0.3] fk: 4452.03874174       
k: 4        xk: [         0.4] fk: 3914.67664204       
k: 5        xk: [         0.5] fk: 3628.92367331       
k: 6        xk: [         0.6] fk: 3594.77983553       
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3594.77983553 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 32826.5944821       
k: 1        xk: [         0.1] fk: 23209.1392938       
k: 2        xk: [         0.2] fk: 16629.3783666       
k: 3        xk: [         0.3] fk: 12249.8987814       
k: 4        xk: [         0.4] fk: 10070.7005381       
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (10070.7005381 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 43873.4642648       
k: 1        xk: [         0.1] fk: 30410.5958776       
k: 2        xk: [         0.2] fk: 21359.933225        
k: 3        xk: [         0.3] fk: 15515.4789918       
k: 4        xk: [         0.4] fk: 12877.2331781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12877.2331781 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 13778.9159658       
k: 1        xk: [         0.1] fk: 10636.9310987       
k: 2        xk: [         0.2] fk: 8606.1189946        
k: 3        xk: [         0.3] fk: 7057.17631137       
k: 4        xk: [         0.4] fk: 5990.10304902       
k: 5        xk: [         0.5] fk: 5404.89920756       
k: 6        xk: [         0.6] fk: 5301.56478698       
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5301.56478698 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 16210.9940926       
k: 1        xk: [         0.1] fk: 10109.8733405       
k: 2        xk: [         0.2] fk: 6495.66835891       
k: 3        xk: [         0.3] fk: 4390.34421079       
k: 4        xk: [         0.4] fk: 3793.90089611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3793.90089611 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 60645.9605372       
k: 1        xk: [         0.1] fk: 48113.1006427       
k: 2        xk: [         0.2] fk: 39162.8316546       
k: 3        xk: [         0.3] fk: 32132.7714874       
k: 4        xk: [         0.4] fk: 27022.9201412       
k: 5        xk: [         0.5] fk: 23833.2776161       
k: 6        xk: [         0.6] fk: 22563.8439119       
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22563.8439119 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 27574.9417359       
k: 1        xk: [         0.1] fk: 19706.888794        
k: 2        xk: [         0.2] fk: 14406.6851767       
k: 3        xk: [         0.3] fk: 10696.233357        
k: 4        xk: [         0.4] fk: 8575.53333477       
k: 5        xk: [         0.5] fk: 8044.58511016       
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8044.58511016 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 23111.0357575       
k: 1        xk: [         0.1] fk: 17189.7022675       
k: 2        xk: [         0.2] fk: 13805.8676215       
k: 3        xk: [         0.3] fk: 11198.6526482       
k: 4        xk: [         0.4] fk: 9368.05734785       
k: 5        xk: [         0.5] fk: 8314.08172029       
k: 6        xk: [         0.6] fk: 8036.72576556       
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8036.72576556 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31430.6075613       
k: 1        xk: [         0.1] fk: 25243.6927348       
k: 2        xk: [         0.2] fk: 21400.8713774       
k: 3        xk: [         0.3] fk: 18146.1033112       
k: 4        xk: [         0.4] fk: 15479.3885363       
k: 5        xk: [         0.5] fk: 13400.7270526       
k: 6        xk: [         0.6] fk: 11910.1188601       
k: 7        xk: [         0.7] fk: 11007.5639589       
k: 8        xk: [         0.8] fk: 10693.0623488       
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10693.0623488 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 35676.0478508       
k: 1        xk: [         0.1] fk: 25362.019514        
k: 2        xk: [         0.2] fk: 18138.4249451       
k: 3        xk: [         0.3] fk: 13491.637874        
k: 4        xk: [         0.4] fk: 11421.6583009       
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11421.6583009 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 10160.3919098       
k: 1        xk: [         0.1] fk: 7639.30295369       
k: 2        xk: [         0.2] fk: 6004.48976447       
k: 3        xk: [         0.3] fk: 4726.16150825       
k: 4        xk: [         0.4] fk: 3804.31818501       
k: 5        xk: [         0.5] fk: 3238.95979477       
k: 6        xk: [         0.6] fk: 3030.08633752       
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3030.08633752 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 37130.156336        
k: 1        xk: [         0.1] fk: 30773.5640001       
k: 2        xk: [         0.2] fk: 25903.5659598       
k: 3        xk: [         0.3] fk: 21678.145292        
k: 4        xk: [         0.4] fk: 18097.3019968       
k: 5        xk: [         0.5] fk: 15161.036074        
k: 6        xk: [         0.6] fk: 12869.3475237       
k: 7        xk: [         0.7] fk: 11222.2363459       
k: 8        xk: [         0.8] fk: 10219.7025407       
k: 9        xk: [         0.9] fk: 9861.74610793       
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (9861.74610793 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 14378.6840735       
k: 1        xk: [         0.1] fk: 8399.52791278       
k: 2        xk: [         0.2] fk: 5039.32748224       
k: 3        xk: [         0.3] fk: 3168.11625177       
k: 4        xk: [         0.4] fk: 2785.89422137       
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2785.89422137 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 33336.0067229       
k: 1        xk: [         0.1] fk: 26602.9947471       
k: 2        xk: [         0.2] fk: 21568.1376862       
k: 3        xk: [         0.3] fk: 17630.0326789       
k: 4        xk: [         0.4] fk: 14788.6797251       
k: 5        xk: [         0.5] fk: 13044.0788248       
k: 6        xk: [         0.6] fk: 12396.2299781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12396.2299781 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 74868.9214227       
k: 1        xk: [         0.1] fk: 50020.2532151       
k: 2        xk: [         0.2] fk: 32447.4626813       
k: 3        xk: [         0.3] fk: 21239.765001        
k: 4        xk: [         0.4] fk: 16397.160174        
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16397.160174 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34510.7229589       
k: 1        xk: [         0.1] fk: 26627.6419607       
k: 2        xk: [         0.2] fk: 20973.6543214       
k: 3        xk: [         0.3] fk: 16839.668889        
k: 4        xk: [         0.4] fk: 14225.6856633       
k: 5        xk: [         0.5] fk: 13131.7046444       
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13131.7046444 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 20716.7146128       
k: 1        xk: [         0.1] fk: 13265.0272157       
k: 2        xk: [         0.2] fk: 8727.15753861       
k: 3        xk: [         0.3] fk: 5855.29399648       
k: 4        xk: [         0.4] fk: 4649.43658932       
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4649.43658932 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 29155.8504053       
k: 1        xk: [         0.1] fk: 22103.0405896       
k: 2        xk: [         0.2] fk: 17387.4636785       
k: 3        xk: [         0.3] fk: 13912.7472091       
k: 4        xk: [         0.4] fk: 11678.8911812       
k: 5        xk: [         0.5] fk: 10685.8955949       
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10685.8955949 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 14516.4590835       
k: 1        xk: [         0.1] fk: 10928.5701653       
k: 2        xk: [         0.2] fk: 8870.73790487       
k: 3        xk: [         0.3] fk: 7268.20609076       
k: 4        xk: [         0.4] fk: 6120.97472293       
k: 5        xk: [         0.5] fk: 5429.04380138       
k: 6        xk: [         0.6] fk: 5192.41332611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.41332611 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 141984.64917        
k: 1        xk: [         0.1] fk: 102496.261982       
k: 2        xk: [         0.2] fk: 73757.7478526       
k: 3        xk: [         0.3] fk: 54569.0870801       
k: 4        xk: [         0.4] fk: 44930.2796641       
k: 5        xk: [         0.5] fk: 44841.3256046       
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (44841.3256046 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 112660.585379       
k: 1        xk: [         0.1] fk: 81916.0847604       
k: 2        xk: [         0.2] fk: 59882.2853129       
k: 3        xk: [         0.3] fk: 44909.7311567       
k: 4        xk: [         0.4] fk: 36998.4222917       
k: 5        xk: [         0.5] fk: 36148.358718        
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (36148.358718 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 66368.7561133       
k: 1        xk: [         0.1] fk: 53755.3594536       
k: 2        xk: [         0.2] fk: 44470.7985577       
k: 3        xk: [         0.3] fk: 36921.030357        
k: 4        xk: [         0.4] fk: 31106.0548514       
k: 5        xk: [         0.5] fk: 27025.872041        
k: 6        xk: [         0.6] fk: 24680.4819256       
k: 7        xk: [         0.7] fk: 24069.8845053       
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24069.8845053 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 22572.9564775       
k: 1        xk: [         0.1] fk: 16174.476814        
k: 2        xk: [         0.2] fk: 12158.0492815       
k: 3        xk: [         0.3] fk: 9363.43259809       
k: 4        xk: [         0.4] fk: 7790.62676395       
k: 5        xk: [         0.5] fk: 7439.63177903       
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7439.63177903 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 139373.413104       
k: 1        xk: [         0.1] fk: 82588.5572885       
k: 2        xk: [         0.2] fk: 43957.4912618       
k: 3        xk: [         0.3] fk: 21861.0392187       
k: 4        xk: [         0.4] fk: 16299.2011591       
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16299.2011591 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 188648.374744       
k: 1        xk: [         0.1] fk: 126666.314793       
k: 2        xk: [         0.2] fk: 82230.6553801       
k: 3        xk: [         0.3] fk: 54328.641801        
k: 4        xk: [         0.4] fk: 42960.2740553       
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42960.2740553 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 156060.662069       
k: 1        xk: [         0.1] fk: 108659.936595       
k: 2        xk: [         0.2] fk: 74627.8960497       
k: 3        xk: [         0.3] fk: 53077.5437017       
k: 4        xk: [         0.4] fk: 44008.8795512       
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (44008.8795512 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 6601.70019207       
k: 1        xk: [         0.1] fk: 4502.19260876       
k: 2        xk: [         0.2] fk: 3264.61583415       
k: 3        xk: [         0.3] fk: 2456.69212947       
k: 4        xk: [         0.4] fk: 2078.4214947        
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2078.4214947 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 24536.7604569       
k: 1        xk: [         0.1] fk: 17039.4394883       
k: 2        xk: [         0.2] fk: 11826.4296404       
k: 3        xk: [         0.3] fk: 8506.38965914       
k: 4        xk: [         0.4] fk: 7079.31954452       
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7079.31954452 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 23919.0952585       
k: 1        xk: [         0.1] fk: 17239.444227        
k: 2        xk: [         0.2] fk: 12603.5436644       
k: 3        xk: [         0.3] fk: 9547.83288509       
k: 4        xk: [         0.4] fk: 8072.31188905       
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (8072.31188905 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 41472.5815614       
k: 1        xk: [         0.1] fk: 34081.4966204       
k: 2        xk: [         0.2] fk: 28412.6024817       
k: 3        xk: [         0.3] fk: 23770.3636236       
k: 4        xk: [         0.4] fk: 20154.7800463       
k: 5        xk: [         0.5] fk: 17565.8517496       
k: 6        xk: [         0.6] fk: 16003.5787336       
k: 7        xk: [         0.7] fk: 15467.9609983       
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (15467.9609983 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 5334.4090188        
k: 1        xk: [         0.1] fk: 3892.03407346       
k: 2        xk: [         0.2] fk: 3102.91493374       
k: 3        xk: [         0.3] fk: 2514.56856386       
k: 4        xk: [         0.4] fk: 2126.99496381       
k: 5        xk: [         0.5] fk: 1940.19413361       
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1940.19413361 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 23522.8259239       
k: 1        xk: [         0.1] fk: 15367.5082935       
k: 2        xk: [         0.2] fk: 10493.8299966       
k: 3        xk: [         0.3] fk: 7361.38122012       
k: 4        xk: [         0.4] fk: 5970.16196422       
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5970.16196422 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 10757.5128385       
k: 1        xk: [         0.1] fk: 7221.9681308        
k: 2        xk: [         0.2] fk: 5413.67329467       
k: 3        xk: [         0.3] fk: 4155.74340876       
k: 4        xk: [         0.4] fk: 3448.17847307       
k: 5        xk: [         0.5] fk: 3290.9784876        
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3290.9784876 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 19403.0986304       
k: 1        xk: [         0.1] fk: 13922.9525304       
k: 2        xk: [         0.2] fk: 11386.9562967       
k: 3        xk: [         0.3] fk: 9483.83202166       
k: 4        xk: [         0.4] fk: 8213.57970535       
k: 5        xk: [         0.5] fk: 7576.19934775       
k: 6        xk: [         0.6] fk: 7571.69094886       
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (7571.69094886 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 33974.9388195       
k: 1        xk: [         0.1] fk: 25528.2069218       
k: 2        xk: [         0.2] fk: 19638.4747617       
k: 3        xk: [         0.3] fk: 15475.7777018       
k: 4        xk: [         0.4] fk: 13040.115742        
k: 5        xk: [         0.5] fk: 12331.4888823       
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12331.4888823 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34181.7067805       
k: 1        xk: [         0.1] fk: 26775.7091908       
k: 2        xk: [         0.2] fk: 21469.6998182       
k: 3        xk: [         0.3] fk: 17434.5259793       
k: 4        xk: [         0.4] fk: 14670.1876739       
k: 5        xk: [         0.5] fk: 13176.6849021       
k: 6        xk: [         0.6] fk: 12954.0176639       
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12954.0176639 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 21988.153738        
k: 1        xk: [         0.1] fk: 17025.9462156       
k: 2        xk: [         0.2] fk: 13688.7683468       
k: 3        xk: [         0.3] fk: 11099.2718218       
k: 4        xk: [         0.4] fk: 9257.45664058       
k: 5        xk: [         0.5] fk: 8163.32280316       
k: 6        xk: [         0.6] fk: 7816.87030954       
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.87030954 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 30593.5851764       
k: 1        xk: [         0.1] fk: 22382.0755004       
k: 2        xk: [         0.2] fk: 16496.6955823       
k: 3        xk: [         0.3] fk: 12423.6083422       
k: 4        xk: [         0.4] fk: 10162.8137804       
k: 5        xk: [         0.5] fk: 9714.3118966        
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9714.3118966 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 28846.7259313       
k: 1        xk: [         0.1] fk: 22784.4819863       
k: 2        xk: [         0.2] fk: 18276.2235486       
k: 3        xk: [         0.3] fk: 14796.7706129       
k: 4        xk: [         0.4] fk: 12346.123179        
k: 5        xk: [         0.5] fk: 10924.281247        
k: 6        xk: [         0.6] fk: 10531.2448169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10531.2448169 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 70925.8752768       
k: 1        xk: [         0.1] fk: 50121.3023587       
k: 2        xk: [         0.2] fk: 35169.0237864       
k: 3        xk: [         0.3] fk: 25156.2488925       
k: 4        xk: [         0.4] fk: 20082.977677        
k: 5        xk: [         0.5] fk: 19949.2101398       
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19949.2101398 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 59467.0252757       
k: 1        xk: [         0.1] fk: 46541.0137297       
k: 2        xk: [         0.2] fk: 37265.7829545       
k: 3        xk: [         0.3] fk: 30315.9930593       
k: 4        xk: [         0.4] fk: 25691.6440441       
k: 5        xk: [         0.5] fk: 23392.7359089       
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23392.7359089 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 42012.5196458       
k: 1        xk: [         0.1] fk: 35441.5437671       
k: 2        xk: [         0.2] fk: 30787.8782669       
k: 3        xk: [         0.3] fk: 26628.809577        
k: 4        xk: [         0.4] fk: 22964.3376973       
k: 5        xk: [         0.5] fk: 19794.462628        
k: 6        xk: [         0.6] fk: 17119.1843689       
k: 7        xk: [         0.7] fk: 14938.5029202       
k: 8        xk: [         0.8] fk: 13252.4182817       
k: 9        xk: [         0.9] fk: 12060.9304535       
k: 10       xk: [           1] fk: 11364.0394357       
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 53091.4390749       
k: 1        xk: [         0.1] fk: 39275.0806006       
k: 2        xk: [         0.2] fk: 29794.4782661       
k: 3        xk: [         0.3] fk: 23208.0639422       
k: 4        xk: [         0.4] fk: 19515.837629        
k: 5        xk: [         0.5] fk: 18717.7993265       
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18717.7993265 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 100711.310967       
k: 1        xk: [         0.1] fk: 71913.7189589       
k: 2        xk: [         0.2] fk: 51365.1561599       
k: 3        xk: [         0.3] fk: 37700.7354138       
k: 4        xk: [         0.4] fk: 30920.4567207       
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30920.4567207 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 33350.0780338       
k: 1        xk: [         0.1] fk: 24327.8524766       
k: 2        xk: [         0.2] fk: 18354.0614007       
k: 3        xk: [         0.3] fk: 14258.1798916       
k: 4        xk: [         0.4] fk: 12040.2079493       
k: 5        xk: [         0.5] fk: 11700.1455739       
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11700.1455739 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 37039.1682285       
k: 1        xk: [         0.1] fk: 28150.8425759       
k: 2        xk: [         0.2] fk: 23100.413622        
k: 3        xk: [         0.3] fk: 19184.0614291       
k: 4        xk: [         0.4] fk: 16401.7859973       
k: 5        xk: [         0.5] fk: 14753.5873266       
k: 6        xk: [         0.6] fk: 14239.4654169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (14239.4654169 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 63963.0178642       
k: 1        xk: [         0.1] fk: 46796.1428101       
k: 2        xk: [         0.2] fk: 34677.850792        
k: 3        xk: [         0.3] fk: 26224.6677409       
k: 4        xk: [         0.4] fk: 21436.5936568       
k: 5        xk: [         0.5] fk: 20313.6285396       
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20313.6285396 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 90916.0115374       
k: 1        xk: [         0.1] fk: 71705.5146785       
k: 2        xk: [         0.2] fk: 56997.3375513       
k: 3        xk: [         0.3] fk: 46016.4722501       
k: 4        xk: [         0.4] fk: 38762.918775        
k: 5        xk: [         0.5] fk: 35236.6771259       
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (35236.6771259 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 55156.7500081       
k: 1        xk: [         0.1] fk: 44197.6357673       
k: 2        xk: [         0.2] fk: 36342.4817413       
k: 3        xk: [         0.3] fk: 30062.8841214       
k: 4        xk: [         0.4] fk: 25358.8429074       
k: 5        xk: [         0.5] fk: 22230.3580994       
k: 6        xk: [         0.6] fk: 20677.4296974       
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20677.4296974 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 27563.6493743       
k: 1        xk: [         0.1] fk: 19619.2607888       
k: 2        xk: [         0.2] fk: 14605.6829403       
k: 3        xk: [         0.3] fk: 11180.1608592       
k: 4        xk: [         0.4] fk: 9342.69454548       
k: 5        xk: [         0.5] fk: 9093.28399919       
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (9093.28399919 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 13953.1286165       
k: 1        xk: [         0.1] fk: 9471.89249067       
k: 2        xk: [         0.2] fk: 6648.1115501        
k: 3        xk: [         0.3] fk: 4791.10995168       
k: 4        xk: [         0.4] fk: 3900.88769539       
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3900.88769539 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 120128.634826       
k: 1        xk: [         0.1] fk: 94453.6140658       
k: 2        xk: [         0.2] fk: 74670.4729124       
k: 3        xk: [         0.3] fk: 60096.987735        
k: 4        xk: [         0.4] fk: 50733.1585335       
k: 5        xk: [         0.5] fk: 46578.9853079       
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (46578.9853079 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 29989.6643315       
k: 1        xk: [         0.1] fk: 24493.7243466       
k: 2        xk: [         0.2] fk: 20773.7342534       
k: 3        xk: [         0.3] fk: 17631.3089668       
k: 4        xk: [         0.4] fk: 15066.4484869       
k: 5        xk: [         0.5] fk: 13079.1528135       
k: 6        xk: [         0.6] fk: 11669.4219468       
k: 7        xk: [         0.7] fk: 10837.2558868       
k: 8        xk: [         0.8] fk: 10582.6546333       
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (10582.6546333 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 48183.6562985       
k: 1        xk: [         0.1] fk: 38628.676714        
k: 2        xk: [         0.2] fk: 31372.8116825       
k: 3        xk: [         0.3] fk: 25656.0239004       
k: 4        xk: [         0.4] fk: 21478.3133675       
k: 5        xk: [         0.5] fk: 18839.6800839       
k: 6        xk: [         0.6] fk: 17740.1240497       
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (17740.1240497 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 23132.7425346       
k: 1        xk: [         0.1] fk: 18898.2221552       
k: 2        xk: [         0.2] fk: 16083.495992        
k: 3        xk: [         0.3] fk: 13644.2359594       
k: 4        xk: [         0.4] fk: 11580.4420576       
k: 5        xk: [         0.5] fk: 9892.11428644       
k: 6        xk: [         0.6] fk: 8579.25264605       
k: 7        xk: [         0.7] fk: 7641.85713637       
k: 8        xk: [         0.8] fk: 7079.92775742       
k: 9        xk: [         0.9] fk: 6893.46450918       
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6893.46450918 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 36898.88387         
k: 1        xk: [         0.1] fk: 29188.1831019       
k: 2        xk: [         0.2] fk: 24860.7578457       
k: 3        xk: [         0.3] fk: 21206.8409318       
k: 4        xk: [         0.4] fk: 18226.4323603       
k: 5        xk: [         0.5] fk: 15919.532131        
k: 6        xk: [         0.6] fk: 14286.1402441       
k: 7        xk: [         0.7] fk: 13326.2566994       
k: 8        xk: [         0.8] fk: 13039.8814971       
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (13039.8814971 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 40987.1607828       
k: 1        xk: [         0.1] fk: 25529.4062284       
k: 2        xk: [         0.2] fk: 24097.104562        
k: 3        xk: [         0.3] fk: 23178.8819216       
k: 4        xk: [         0.4] fk: 22774.7383073       
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (22774.7383073 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 45789.3602829       
k: 1        xk: [         0.1] fk: 29494.8844257       
k: 2        xk: [         0.2] fk: 28976.1193259       
k: 3        xk: [         0.3] fk: 28735.4751754       
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (28735.4751754 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 55284.1384162       
k: 1        xk: [         0.1] fk: 42669.3368942       
k: 2        xk: [         0.2] fk: 42512.0085314       
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (42512.0085314 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 135177.865875       
k: 1        xk: [         0.1] fk: 113890.174458       
k: 2        xk: [         0.2] fk: 111502.715523       
k: 3        xk: [         0.3] fk: 110854.851081       
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (110854.851081 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 17458.745706711263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 17458.7457067       

        Parameter values: [0.5031108882557912]
        Function value:   17457.464191779214
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.503110888255791])                                    
  fk: 17457.464191779214  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311] fk: 17457.4641918       

        Parameter values: [0.5031108882557912]
        Function value:   17457.464191779214
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5031108882557912]
Function value:   17457.464191779214
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17457.4641918 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 26175.755521774958  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 26175.7555218       

        Parameter values: [0.63587983655783231]
        Function value:   26046.396810330261
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.635879836557832])                                    
  fk: 26046.396810330261  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63588] fk: 26046.3968103       

        Parameter values: [0.63587983655783231]
        Function value:   26046.396810330261
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.63587983655783231]
Function value:   26046.396810330261
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (26046.3968103 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 14896.696087230728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 14896.6960872       

        Parameter values: [0.46378072291842415]
        Function value:   14705.551224968616
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.463780722918424])                                    
  fk: 14705.551224968616  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46378] fk: 14705.551225        

        Parameter values: [0.46378072291842415]
        Function value:   14705.551224968616
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46378072291842415]
Function value:   14705.551224968616
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14705.551225 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 9541.1886625134284  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 9541.18866251       

        Parameter values: [0.40806895809144667]
        Function value:   9531.9454067735314
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.408068958091447])                                    
  fk: 9531.9454067735314  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40807] fk: 9531.94540677       

        Parameter values: [0.40806895809144667]
        Function value:   9531.9454067735314
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.40806895809144667]
Function value:   9531.9454067735314
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9531.94540677 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 10820.198656865867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 10820.1986569       

        Parameter values: [0.5133910326290797]
        Function value:   10806.864762715029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.51339103262908])                                     
  fk: 10806.864762715029  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51339] fk: 10806.8647627       

        Parameter values: [0.5133910326290797]
        Function value:   10806.864762715029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5133910326290797]
Function value:   10806.864762715029
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10806.8647627 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 8747.1825981243474  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 8747.18259812       

        Parameter values: [0.53549319738421908]
        Function value:   8685.1745880266808
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.535493197384219])                                    
  fk: 8685.1745880266808  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549] fk: 8685.17458803       

        Parameter values: [0.53549319738421897]
        Function value:   8685.174588026679
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.535493197384219])                                    
  fk: 8685.174588026679   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549] fk: 8685.17458803       

        Parameter values: [0.53549319738421897]
        Function value:   8685.174588026679
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53549319738421897]
Function value:   8685.174588026679
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8685.17458803 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 4337.4720387558336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 4337.47203876       

        Parameter values: [0.54494367253947906]
        Function value:   4302.9443046818324
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.544943672539479])                                    
  fk: 4302.9443046818324  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54494] fk: 4302.94430468       

        Parameter values: [0.54494367253947895]
        Function value:   4302.9443046818305
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.544943672539479])                                    
  fk: 4302.9443046818305  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54494] fk: 4302.94430468       

        Parameter values: [0.54494367253947895]
        Function value:   4302.9443046818305
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54494367253947895]
Function value:   4302.9443046818305
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4302.94430468 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 2475.4710637640464  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 2475.47106376       

        Parameter values: [0.59613416894961768]
        Function value:   2475.3513882612215
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.596134168949618])                                    
  fk: 2475.3513882612215  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59613] fk: 2475.35138826       

        Parameter values: [0.59613416894961757]
        Function value:   2475.3513882612215
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59613416894961757]
Function value:   2475.3513882612215
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (2475.35138826 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 5561.098815981215   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 5561.09881598       

        Parameter values: [0.56852878638453241]
        Function value:   5544.6982938807278
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.568528786384532])                                    
  fk: 5544.6982938807278  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56853] fk: 5544.69829388       

        Parameter values: [0.56852878638453241]
        Function value:   5544.6982938807278
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56852878638453241]
Function value:   5544.6982938807278
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (5544.69829388 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 7645.0932470122434  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 7645.09324701       

        Parameter values: [0.59858805739990328]
        Function value:   7645.0569307731857
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.598588057399903])                                    
  fk: 7645.0569307731857  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59859] fk: 7645.05693077       

        Parameter values: [0.59858805739990328]
        Function value:   7645.0569307731857
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59858805739990328]
Function value:   7645.0569307731857
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (7645.05693077 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 3594.7798355316936  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 3594.77983553       

        Parameter values: [0.563570190257905]
        Function value:   3578.083921176737
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.563570190257905])                                    
  fk: 3578.083921176737   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56357] fk: 3578.08392118       

        Parameter values: [0.563570190257905]
        Function value:   3578.083921176737
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.563570190257905]
Function value:   3578.083921176737
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3578.08392118 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 10070.700538052157  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 10070.7005381       

        Parameter values: [0.44904179987209447]
        Function value:   9806.1059104867836
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.449041799872094])                                    
  fk: 9806.1059104867836  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44904] fk: 9806.10591049       

        Parameter values: [0.44904179987209436]
        Function value:   9806.1059104867818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.449041799872094])                                    
  fk: 9806.1059104867818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44904] fk: 9806.10591049       

        Parameter values: [0.44904179987209436]
        Function value:   9806.1059104867818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44904179987209436]
Function value:   9806.1059104867818
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (9806.10591049 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 12877.233178063123  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 12877.2331781       

        Parameter values: [0.43228553695134453]
        Function value:   12710.132665534367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.432285536951345])                                    
  fk: 12710.132665534367  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43229] fk: 12710.1326655       

        Parameter values: [0.43228553695134453]
        Function value:   12710.132665534367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43228553695134453]
Function value:   12710.132665534367
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12710.1326655 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 5301.5647869842051  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 5301.56478698       

        Parameter values: [0.57144448601521014]
        Function value:   5281.9185519757766
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.57144448601521])                                     
  fk: 5281.9185519757766  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57144] fk: 5281.91855198       

        Parameter values: [0.57144448601521025]
        Function value:   5281.9185519757748
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.57144448601521])                                     
  fk: 5281.9185519757748  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57144] fk: 5281.91855198       

        Parameter values: [0.57144448601521025]
        Function value:   5281.9185519757748
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.57144448601521025]
Function value:   5281.9185519757748
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5281.91855198 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 3793.9008961135905  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 3793.90089611       

        Parameter values: [0.38952885486092204]
        Function value:   3785.6288431782154
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.389528854860922])                                    
  fk: 3785.6288431782154  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38953] fk: 3785.62884318       

        Parameter values: [0.38952885486092204]
        Function value:   3785.6288431782154
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38952885486092204]
Function value:   3785.6288431782154
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3785.62884318 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 22563.843911885499  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 22563.8439119       

        Parameter values: [0.61610914866598987]
        Function value:   22538.928753992943
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.61610914866599])                                     
  fk: 22538.928753992943  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61611] fk: 22538.928754        

        Parameter values: [0.61610914866598987]
        Function value:   22538.928753992943
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.61610914866598987]
Function value:   22538.928753992943
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22538.928754 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 8044.5851101603221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 8044.58511016       

        Parameter values: [0.48339818363008419]
        Function value:   8022.6767162528358
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.483398183630084])                                    
  fk: 8022.6767162528358  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834] fk: 8022.67671625       

        Parameter values: [0.48339818363008413]
        Function value:   8022.6767162528349
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.483398183630084])                                    
  fk: 8022.6767162528349  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834] fk: 8022.67671625       

        Parameter values: [0.48339818363008413]
        Function value:   8022.6767162528349
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48339818363008413]
Function value:   8022.6767162528349
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8022.67671625 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 8036.7257655587882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 8036.72576556       

        Parameter values: [0.58571322803595371]
        Function value:   8028.7999015279638
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.585713228035954])                                    
  fk: 8028.7999015279638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58571] fk: 8028.79990153       

        Parameter values: [0.58571322803595371]
        Function value:   8028.7999015279638
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58571322803595371]
Function value:   8028.7999015279638
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8028.79990153 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8])                                                  
  fk: 10693.062348843969  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8] fk: 10693.0623488       

        Parameter values: [0.80348182124482459]
        Function value:   10692.70589801337
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.803481821244825])                                    
  fk: 10692.70589801337   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80348] fk: 10692.705898        

        Parameter values: [0.80348182124482459]
        Function value:   10692.70589801337
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80348182124482459]
Function value:   10692.70589801337
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10692.705898 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 11421.658300851494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 11421.6583009       

        Parameter values: [0.43033116850616004]
        Function value:   11303.127760722151
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.43033116850616])                                     
  fk: 11303.127760722151  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43033] fk: 11303.1277607       

        Parameter values: [0.43033116850616004]
        Function value:   11303.127760722151
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43033116850616004]
Function value:   11303.127760722151
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11303.1277607 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 3030.0863375220893  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 3030.08633752       

        Parameter values: [0.60859250642004215]
        Function value:   3028.7703525985676
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.608592506420042])                                    
  fk: 3028.7703525985676  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60859] fk: 3028.7703526        

        Parameter values: [0.60859250642004226]
        Function value:   3028.7703525985662
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.608592506420042])                                    
  fk: 3028.7703525985662  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60859] fk: 3028.7703526        

        Parameter values: [0.60859250642004226]
        Function value:   3028.7703525985662
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60859250642004226]
Function value:   3028.7703525985662
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3028.7703526 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.9])                                                  
  fk: 9861.7461079348141  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9] fk: 9861.74610793       

        Parameter values: [0.90553350893484152]
        Function value:   9860.7592689651065
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.905533508934842])                                    
  fk: 9860.7592689651065  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90553] fk: 9860.75926897       

        Parameter values: [0.90553350893484152]
        Function value:   9860.7592689651065
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.90553350893484152]
Function value:   9860.7592689651065
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (9860.75926897 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 2785.8942213662012  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 2785.89422137       

        Parameter values: [0.37566989944517398]
        Function value:   2741.8235811298964
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.375669899445174])                                    
  fk: 2741.8235811298964  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37567] fk: 2741.82358113       

        Parameter values: [0.37566989944517398]
        Function value:   2741.8235811298964
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.37566989944517398]
Function value:   2741.8235811298964
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2741.82358113 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 12396.229978120295  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 12396.2299781       

        Parameter values: [0.60906976372863919]
        Function value:   12391.719003248669
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.609069763728639])                                    
  fk: 12391.719003248669  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60907] fk: 12391.7190032       

        Parameter values: [0.60906976372863919]
        Function value:   12391.719003248669
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60906976372863919]
Function value:   12391.719003248669
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12391.7190032 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 16397.160174027202  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 16397.160174        

        Parameter values: [0.4260806627407267]
        Function value:   16180.683057695323
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.426080662740727])                                    
  fk: 16180.683057695323  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42608] fk: 16180.6830577       

        Parameter values: [0.4260806627407267]
        Function value:   16180.683057695323
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4260806627407267]
Function value:   16180.683057695323
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16180.6830577 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 13131.70464441924   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 13131.7046444       

        Parameter values: [0.52197233095972329]
        Function value:   13095.013058235823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.521972330959723])                                    
  fk: 13095.013058235823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52197] fk: 13095.0130582       

        Parameter values: [0.52197233095972329]
        Function value:   13095.013058235823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52197233095972329]
Function value:   13095.013058235823
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13095.0130582 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 4649.4365893184222  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 4649.43658932       

        Parameter values: [0.42238013005213926]
        Function value:   4607.7139462555142
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.422380130052139])                                    
  fk: 4607.7139462555142  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238] fk: 4607.71394626       

        Parameter values: [0.42238013005213915]
        Function value:   4607.7139462555133
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.422380130052139])                                    
  fk: 4607.7139462555133  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238] fk: 4607.71394626       

        Parameter values: [0.42238013005213915]
        Function value:   4607.7139462555133
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42238013005213915]
Function value:   4607.7139462555133
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4607.71394626 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 10685.89559493526   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 10685.8955949       

        Parameter values: [0.53002475967816043]
        Function value:   10629.964667114298
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.53002475967816])                                     
  fk: 10629.964667114298  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53002] fk: 10629.9646671       

        Parameter values: [0.53002475967816043]
        Function value:   10629.964667114298
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53002475967816043]
Function value:   10629.964667114298
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10629.9646671 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 5192.4133261059078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 5192.41332611       

        Parameter values: [0.60197237938327275]
        Function value:   5192.3247637850736
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.601972379383273])                                    
  fk: 5192.3247637850736  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60197] fk: 5192.32476379       

        Parameter values: [0.60197237938327275]
        Function value:   5192.3247637850736
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60197237938327275]
Function value:   5192.3247637850736
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.32476379 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 44841.325604612859  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 44841.3256046       

        Parameter values: [0.45093147042294202]
        Function value:   43691.65667439266
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.450931470422942])                                    
  fk: 43691.65667439266   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45093] fk: 43691.6566744       

        Parameter values: [0.45093147042294202]
        Function value:   43691.65667439266
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45093147042294202]
Function value:   43691.65667439266
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (43691.6566744 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 36148.358718026713  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 36148.358718        

        Parameter values: [0.46203843711182868]
        Function value:   35639.567659103937
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.462038437111829])                                    
  fk: 35639.567659103937  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46204] fk: 35639.5676591       

        Parameter values: [0.46203843711182868]
        Function value:   35639.567659103937
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46203843711182868]
Function value:   35639.567659103937
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (35639.5676591 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7])                                                  
  fk: 24069.884505342136  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7] fk: 24069.8845053       

        Parameter values: [0.6851971403832291]
        Function value:   24050.877712989375
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.685197140383229])                                    
  fk: 24050.877712989375  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6852] fk: 24050.877713        

        Parameter values: [0.6851971403832291]
        Function value:   24050.877712989375
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.6851971403832291]
Function value:   24050.877712989375
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24050.877713 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 7439.6317790309622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 7439.63177903       

        Parameter values: [0.47872744051579613]
        Function value:   7411.9869775872521
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.478727440515796])                                    
  fk: 7411.9869775872521  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873] fk: 7411.98697759       

        Parameter values: [0.47872744051579619]
        Function value:   7411.9869775872512
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.478727440515796])                                    
  fk: 7411.9869775872512  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873] fk: 7411.98697759       

        Parameter values: [0.47872744051579619]
        Function value:   7411.9869775872512
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47872744051579619]
Function value:   7411.9869775872512
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7411.98697759 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 16299.201159094642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 16299.2011591       

        Parameter values: [0.38363754403433531]
        Function value:   16077.860577751168
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.383637544034335])                                    
  fk: 16077.860577751168  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38364] fk: 16077.8605778       

        Parameter values: [0.38363754403433531]
        Function value:   16077.860577751168
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38363754403433531]
Function value:   16077.860577751168
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16077.8605778 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 42960.274055280024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 42960.2740553       

        Parameter values: [0.41875898915571658]
        Function value:   42669.364826219433
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.418758989155717])                                    
  fk: 42669.364826219433  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41876] fk: 42669.3648262       

        Parameter values: [0.41875898915571658]
        Function value:   42669.364826219433
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.41875898915571658]
Function value:   42669.364826219433
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42669.3648262 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 44008.879551231919  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 44008.8795512       

        Parameter values: [0.4226557498219603]
        Function value:   43688.547633077687
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.42265574982196])                                     
  fk: 43688.547633077687  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42266] fk: 43688.5476331       

        Parameter values: [0.4226557498219603]
        Function value:   43688.547633077687
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4226557498219603]
Function value:   43688.547633077687
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (43688.5476331 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 2078.421494703497   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 2078.4214947        

        Parameter values: [0.43804094774231744]
        Function value:   2047.3336524065996
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.438040947742317])                                    
  fk: 2047.3336524065996  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804] fk: 2047.33365241       

        Parameter values: [0.43804094774231744]
        Function value:   2047.3336524065996
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43804094774231744]
Function value:   2047.3336524065996
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2047.33365241 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 7079.3195445170932  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 7079.31954452       

        Parameter values: [0.42538789390045734]
        Function value:   7018.3143165512847
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.425387893900457])                                    
  fk: 7018.3143165512847  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42539] fk: 7018.31431655       

        Parameter values: [0.42538789390045734]
        Function value:   7018.3143165512847
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42538789390045734]
Function value:   7018.3143165512847
Iterations:       2
Function calls:   9
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7018.31431655 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 8072.3118890496171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 8072.31188905       

        Parameter values: [0.44337618883794555]
        Function value:   7923.6560283557728
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.443376188837946])                                    
  fk: 7923.6560283557728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338] fk: 7923.65602836       

        Parameter values: [0.4433761888379455]
        Function value:   7923.6560283557719
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.443376188837945])                                    
  fk: 7923.6560283557719  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338] fk: 7923.65602836       

        Parameter values: [0.4433761888379455]
        Function value:   7923.6560283557719
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4433761888379455]
Function value:   7923.6560283557719
Iterations:       3
Function calls:   11
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (7923.65602836 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7])                                                  
  fk: 15467.960998330909  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7] fk: 15467.9609983       

        Parameter values: [0.7021711372244428]
        Function value:   15467.719024056327
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.702171137224443])                                    
  fk: 15467.719024056327  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.70217] fk: 15467.7190241       

        Parameter values: [0.7021711372244428]
        Function value:   15467.719024056327
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.7021711372244428]
Function value:   15467.719024056327
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (15467.7190241 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 1940.1941336102423  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 1940.19413361       

        Parameter values: [0.543040919022586]
        Function value:   1921.5973479006595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.543040919022586])                                    
  fk: 1921.5973479006595  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54304] fk: 1921.5973479        

        Parameter values: [0.543040919022586]
        Function value:   1921.5973479006595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.543040919022586]
Function value:   1921.5973479006595
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1921.5973479 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 5970.1619642240858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 5970.16196422       

        Parameter values: [0.42989867157047468]
        Function value:   5892.3350500590313
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.429898671570475])                                    
  fk: 5892.3350500590313  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4299] fk: 5892.33505006       

        Parameter values: [0.42989867157047457]
        Function value:   5892.3350500590295
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.429898671570475])                                    
  fk: 5892.3350500590295  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4299] fk: 5892.33505006       

        Parameter values: [0.42989867157047462]
        Function value:   5892.3350500590295
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42989867157047462]
Function value:   5892.3350500590295
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5892.33505006 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 3290.9784875968999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 3290.9784876        

        Parameter values: [0.47856286277103055]
        Function value:   3278.3324534918761
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.478562862771031])                                    
  fk: 3278.3324534918761  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47856] fk: 3278.33245349       

        Parameter values: [0.47856286277103055]
        Function value:   3278.3324534918761
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47856286277103055]
Function value:   3278.3324534918761
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3278.33245349 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 7571.6909488564197  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 7571.69094886       

        Parameter values: [0.55071237141031748]
        Function value:   7494.8200951950421
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.550712371410317])                                    
  fk: 7494.8200951950421  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55071] fk: 7494.8200952        

        Parameter values: [0.55071237141031748]
        Function value:   7494.8200951950421
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.55071237141031748]
Function value:   7494.8200951950421
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (7494.8200952 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 12331.48888232685   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 12331.4888823       

        Parameter values: [0.49103141040015696]
        Function value:   12324.543127152798
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.491031410400157])                                    
  fk: 12324.543127152798  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49103] fk: 12324.5431272       

        Parameter values: [0.49103141040015696]
        Function value:   12324.543127152798
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.49103141040015696]
Function value:   12324.543127152798
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12324.5431272 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 12954.017663935163  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 12954.0176639       

        Parameter values: [0.56752132611194361]
        Function value:   12886.989714856029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.567521326111944])                                    
  fk: 12886.989714856029  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56752] fk: 12886.9897149       

        Parameter values: [0.56752132611194361]
        Function value:   12886.989714856029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56752132611194361]
Function value:   12886.989714856029
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12886.9897149 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 7816.8703095363035  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 7816.87030954       

        Parameter values: [0.59633691832660218]
        Function value:   7816.3686838666745
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.596336918326602])                                    
  fk: 7816.3686838666745  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59634] fk: 7816.36868387       

        Parameter values: [0.59633691832660218]
        Function value:   7816.3686838666745
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59633691832660218]
Function value:   7816.3686838666745
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.36868387 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 9714.3118966004258  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 9714.3118966        

        Parameter values: [0.47474776227738907]
        Function value:   9656.5291637105984
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.474747762277389])                                    
  fk: 9656.5291637105984  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47475] fk: 9656.52916371       

        Parameter values: [0.47474776227738902]
        Function value:   9656.5291637105984
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47474776227738902]
Function value:   9656.5291637105984
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9656.52916371 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 10531.244816919614  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 10531.2448169       

        Parameter values: [0.58820318120230464]
        Function value:   10524.086134444267
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.588203181202305])                                    
  fk: 10524.086134444267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5882] fk: 10524.0861344       

        Parameter values: [0.58820318120230464]
        Function value:   10524.086134444267
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58820318120230464]
Function value:   10524.086134444267
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10524.0861344 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 19949.210139845221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 19949.2101398       

        Parameter values: [0.45270811696585855]
        Function value:   19396.844657934951
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.452708116965859])                                    
  fk: 19396.844657934951  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45271] fk: 19396.8446579       

        Parameter values: [0.45270811696585855]
        Function value:   19396.844657934951
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45270811696585855]
Function value:   19396.844657934951
Iterations:       2
Function calls:   8
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19396.8446579 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 23392.735908891522  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 23392.7359089       

        Parameter values: [0.54885902303468737]
        Function value:   23115.17080503079
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.548859023034687])                                    
  fk: 23115.17080503079   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54886] fk: 23115.170805        

        Parameter values: [0.54885902303468737]
        Function value:   23115.17080503079
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54885902303468737]
Function value:   23115.17080503079
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23115.170805 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 1.])                                                   
  fk: 11364.039435651424  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1] fk: 11364.0394357       

        Parameter values: [0.9631735205462495]
        Function value:   11262.691603961202
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.963173520546249])                                    
  fk: 11563.146919050832  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.96317] fk: 11463.3745766       

        Parameter values: [0.99269851576940071]
        Function value:   11357.389879309088
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.992698515769401])                                    
  fk: 11398.184758518108  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.9927] fk: 11373.3833809       

        Parameter values: [0.99919652619283461]
        Function value:   11363.894356772596
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.999196526192835])                                    
  fk: 11367.667759380825  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.9992] fk: 11364.2816989       

        Parameter values: [0.99995321784058144]
        Function value:   11364.038506100249
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ 0.999953217840581])                                    
  fk: 11364.249818907248  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.99995] fk: 11364.0411324       

        Parameter values: [0.99999859721901097]
        Function value:   11364.039434028524
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ 0.999998597219011])                                    
  fk: 11364.045742499786  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1] fk: 11364.0394388       

        Parameter values: [0.99999997864841939]
        Function value:   11364.039435650691
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ 0.999999978648419])                                    
  fk: 11364.039531646573  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1] fk: 11364.0394357       

        Parameter values: [0.99999999983625876]
        Function value:   11364.039435651423
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([ 0.999999999836259])                                    
  fk: 11364.039436387591  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1] fk: 11364.0394357       

        Parameter values: [0.99999999984645316]
        Function value:   11364.039435651423
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.99999999984645316]
Function value:   11364.039436341758
Iterations:       11
Function calls:   36
Gradient calls:   19
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394363 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 18717.799326536191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 18717.7993265       

        Parameter values: [0.47757382379905106]
        Function value:   18645.020138752843
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.477573823799051])                                    
  fk: 18645.020138752843  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47757] fk: 18645.0201388       

        Parameter values: [0.47757382379905106]
        Function value:   18645.020138752843
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47757382379905106]
Function value:   18645.020138752843
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18645.0201388 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 30920.456720713282  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 30920.4567207       

        Parameter values: [0.44849126646307369]
        Function value:   30111.087133361656
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.448491266463074])                                    
  fk: 30111.087133361656  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849] fk: 30111.0871334       

        Parameter values: [0.44849126646307363]
        Function value:   30111.087133361656
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44849126646307363]
Function value:   30111.087133361656
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30111.0871334 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 11700.145573857024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 11700.1455739       

        Parameter values: [0.46810855972332649]
        Function value:   11604.6478665552
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.468108559723326])                                    
  fk: 11604.6478665552    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46811] fk: 11604.6478666       

        Parameter values: [0.46810855972332643]
        Function value:   11604.647866555199
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.468108559723326])                                    
  fk: 11604.647866555199  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46811] fk: 11604.6478666       

        Parameter values: [0.46810855972332643]
        Function value:   11604.647866555199
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46810855972332643]
Function value:   11604.647866555199
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11604.6478666 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 14239.465416915664  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 14239.4654169       

        Parameter values: [0.59533396038773667]
        Function value:   14238.230865168729
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.595333960387737])                                    
  fk: 14238.230865168729  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533] fk: 14238.2308652       

        Parameter values: [0.59533396038773678]
        Function value:   14238.230865168725
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.595333960387737])                                    
  fk: 14238.230865168725  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533] fk: 14238.2308652       

        Parameter values: [0.59533396038773678]
        Function value:   14238.230865168725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59533396038773678]
Function value:   14238.230865168725
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (14238.2308652 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 20313.628539618145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 20313.6285396       

        Parameter values: [0.48063933780098739]
        Function value:   20244.937939511281
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.480639337800987])                                    
  fk: 20244.937939511281  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064] fk: 20244.9379395       

        Parameter values: [0.48063933780098733]
        Function value:   20244.937939511281
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48063933780098733]
Function value:   20244.937939511281
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20244.9379395 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 35236.677125904709  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 35236.6771259       

        Parameter values: [0.54460549086345633]
        Function value:   34865.87486161408
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.544605490863456])                                    
  fk: 34865.87486161408   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54461] fk: 34865.8748616       

        Parameter values: [0.54460549086345633]
        Function value:   34865.87486161408
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54460549086345633]
Function value:   34865.87486161408
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (34865.8748616 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 20677.429697391144  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 20677.4296974       

        Parameter values: [0.64856380870632357]
        Function value:   20491.636657898744
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.648563808706324])                                    
  fk: 20491.636657898744  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64856] fk: 20491.6366579       

        Parameter values: [0.64856380870632357]
        Function value:   20491.636657898744
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.64856380870632357]
Function value:   20491.636657898744
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20491.6366579 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 9093.2839991858255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 9093.28399919       

        Parameter values: [0.46570540225456897]
        Function value:   8999.8968366284789
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.465705402254569])                                    
  fk: 8999.8968366284789  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46571] fk: 8999.89683663       

        Parameter values: [0.46570540225456891]
        Function value:   8999.8968366284789
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46570540225456891]
Function value:   8999.8968366284789
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (8999.89683663 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 3900.8876953943559  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 3900.88769539       

        Parameter values: [0.44208122448246367]
        Function value:   3815.2876286681726
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.442081224482464])                                    
  fk: 3815.2876286681726  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208] fk: 3815.28762867       

        Parameter values: [0.44208122448246362]
        Function value:   3815.2876286681721
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.442081224482464])                                    
  fk: 3815.2876286681721  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208] fk: 3815.28762867       

        Parameter values: [0.44208122448246362]
        Function value:   3815.2876286681721
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44208122448246362]
Function value:   3815.2876286681721
Iterations:       3
Function calls:   11
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3815.28762867 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5])                                                  
  fk: 46578.985307922849  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5] fk: 46578.9853079       

        Parameter values: [0.5297398761972042]
        Function value:   46348.598630165267
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.529739876197204])                                    
  fk: 46348.598630165267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52974] fk: 46348.5986302       

        Parameter values: [0.52973987619720408]
        Function value:   46348.598630165267
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52973987619720408]
Function value:   46348.598630165267
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (46348.5986302 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8])                                                  
  fk: 10582.654633330541  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8] fk: 10582.6546333       

        Parameter values: [0.7940818502990411]
        Function value:   10581.643187520951
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.794081850299041])                                    
  fk: 10581.643187520951  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408] fk: 10581.6431875       

        Parameter values: [0.79408185029904121]
        Function value:   10581.643187520949
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.794081850299041])                                    
  fk: 10581.643187520949  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408] fk: 10581.6431875       

        Parameter values: [0.79408185029904121]
        Function value:   10581.643187520949
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79408185029904121]
Function value:   10581.643187520949
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (10581.6431875 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6])                                                  
  fk: 17740.124049677364  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6] fk: 17740.1240497       

        Parameter values: [0.62144255005838778]
        Function value:   17704.741975547971
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.621442550058388])                                    
  fk: 17704.741975547971  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.62144] fk: 17704.7419755       

        Parameter values: [0.62144255005838778]
        Function value:   17704.741975547971
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.62144255005838778]
Function value:   17704.741975547971
Iterations:       2
Function calls:   7
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (17704.7419755 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.9])                                                  
  fk: 6893.4645091828224  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9] fk: 6893.46450918       

        Parameter values: [0.8996618024843559]
        Function value:   6893.4623619378344
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.899661802484356])                                    
  fk: 6893.4623619378344  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89966] fk: 6893.46236194       

        Parameter values: [0.8996618024843559]
        Function value:   6893.4623619378344
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8996618024843559]
Function value:   6893.4623619378344
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6893.46236194 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8])                                                  
  fk: 13039.881497068545  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8] fk: 13039.8814971       

        Parameter values: [0.79251991910921282]
        Function value:   13037.997303259055
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.792519919109213])                                    
  fk: 13037.997303259055  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79252] fk: 13037.9973033       

        Parameter values: [0.79251991910921282]
        Function value:   13037.997303259055
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79251991910921282]
Function value:   13037.997303259055
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (13037.9973033 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4])                                                  
  fk: 22774.738307336876  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4] fk: 22774.7383073       

        Parameter values: [0.42861507545192745]
        Function value:   22753.691332560749
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.428615075451927])                                    
  fk: 22753.691332560749  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42862] fk: 22753.6913326       

        Parameter values: [0.42861507545192729]
        Function value:   22753.691332560742
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.428615075451927])                                    
  fk: 22753.691332560742  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42862] fk: 22753.6913326       

        Parameter values: [0.42861507545192723]
        Function value:   22753.691332560742
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42861507545192723]
Function value:   22753.691332560742
Iterations:       3
Function calls:   10
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (22753.6913326 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.3])                                                  
  fk: 28735.475175420914  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3] fk: 28735.4751754       

        Parameter values: [0.33652499963307669]
        Function value:   28716.923456824319
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.336524999633077])                                    
  fk: 28716.923456824319  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33652] fk: 28716.9234568       

        Parameter values: [0.33652499963307642]
        Function value:   28716.923456824301
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.336524999633076])                                    
  fk: 28716.923456824301  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33652] fk: 28716.9234568       

        Parameter values: [0.33652499963307597]
        Function value:   28716.923456824301
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.33652499963307597]
Function value:   28716.923456824301
Iterations:       3
Function calls:   9
Gradient calls:   6
Hessian calls:    3
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (28716.9234568 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.2])                                                  
  fk: 42512.008531431828  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.2] fk: 42512.0085314       

        Parameter values: [0.22517453621294764]
        Function value:   42505.376764928995
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.225174536212948])                                    
  fk: 42505.376764928995  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22517] fk: 42505.3767649       

        Parameter values: [0.22517453621294678]
        Function value:   42505.376764928995
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.22517453621294678]
Function value:   42505.376764928995
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (42505.3767649 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.3])                                                  
  fk: 110854.85108128165  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3] fk: 110854.851081       

        Parameter values: [0.28724226793084406]
        Function value:   110840.69428499651
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.287242267930844])                                    
  fk: 110840.69428499651  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28724] fk: 110840.694285       

        Parameter values: [0.28724226793084401]
        Function value:   110840.69428499651
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.28724226793084401]
Function value:   110840.69428499651
Iterations:       2
Function calls:   6
Gradient calls:   4
Hessian calls:    2
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (110840.694285 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm1\\results.bz2' for writing.

relax> pipe.create(pipe_name='m2', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m2', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 52402.8136361       
k: 1        xk: [         0.1,           0] fk: 38975.5634183       
k: 2        xk: [         0.2,           0] fk: 29623.7474228       
k: 3        xk: [         0.3,           0] fk: 22920.3391391       
k: 4        xk: [         0.4,           0] fk: 18865.338567        
k: 5        xk: [         0.5,           0] fk: 17458.7457067       
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17458.7457067 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 67957.530941        
k: 1        xk: [         0.1,           0] fk: 54901.963067        
k: 2        xk: [         0.2,           0] fk: 45137.3814197       
k: 3        xk: [         0.3,           0] fk: 37382.4698415       
k: 4        xk: [         0.4,           0] fk: 31637.2283324       
k: 5        xk: [         0.5,           0] fk: 27901.6568925       
k: 6        xk: [         0.6,           0] fk: 26175.7555218       
k: 17       xk: [         0.6,          50] fk: 26042.3938583       
k: 18       xk: [         0.7,          50] fk: 25350.1896182       
k: 117      xk: [         0.7,         500] fk: 25066.2281615       
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (25066.2281615 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 46589.4290117       
k: 1        xk: [         0.1,           0] fk: 33988.0111311       
k: 2        xk: [         0.2,           0] fk: 24843.9456251       
k: 3        xk: [         0.3,           0] fk: 18614.0379492       
k: 4        xk: [         0.4,           0] fk: 15298.2881032       
k: 5        xk: [         0.5,           0] fk: 14896.6960872       
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14896.6960872 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34435.2127284       
k: 1        xk: [         0.1,           0] fk: 23005.616111        
k: 2        xk: [         0.2,           0] fk: 15678.1163394       
k: 3        xk: [         0.3,           0] fk: 11189.9738566       
k: 4        xk: [         0.4,           0] fk: 9541.18866251       
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9541.18866251 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 31683.9847331       
k: 1        xk: [         0.1,           0] fk: 23514.0970791       
k: 2        xk: [         0.2,           0] fk: 18109.8764812       
k: 3        xk: [         0.3,           0] fk: 14192.8198782       
k: 4        xk: [         0.4,           0] fk: 11762.9272701       
k: 5        xk: [         0.5,           0] fk: 10820.1986569       
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10820.1986569 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 24164.5370766       
k: 1        xk: [         0.1,           0] fk: 18020.3030145       
k: 2        xk: [         0.2,           0] fk: 14225.3687247       
k: 3        xk: [         0.3,           0] fk: 11414.8705587       
k: 4        xk: [         0.4,           0] fk: 9588.80851655       
k: 5        xk: [         0.5,           0] fk: 8747.18259812       
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8747.18259812 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 11277.3525666       
k: 1        xk: [         0.1,           0] fk: 7687.02751494       
k: 2        xk: [         0.2,           0] fk: 6336.83368525       
k: 3        xk: [         0.3,           0] fk: 5328.50982932       
k: 4        xk: [         0.4,           0] fk: 4662.05594716       
k: 5        xk: [         0.5,           0] fk: 4337.47203876       
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4337.47203876 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 7097.25569836       
k: 1        xk: [         0.1,           0] fk: 4446.49286775       
k: 2        xk: [         0.2,           0] fk: 3731.97185812       
k: 3        xk: [         0.3,           0] fk: 3177.60917292       
k: 4        xk: [         0.4,           0] fk: 2783.40481212       
k: 5        xk: [         0.5,           0] fk: 2549.35877574       
k: 6        xk: [         0.6,           0] fk: 2475.47106376       
k: 18       xk: [         0.7,          50] fk: 1871.53032166       
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (1871.53032166 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 15125.8852796       
k: 1        xk: [         0.1,           0] fk: 9179.68854377       
k: 2        xk: [         0.2,           0] fk: 7793.61580502       
k: 3        xk: [         0.3,           0] fk: 6738.72046287       
k: 4        xk: [         0.4,           0] fk: 6015.00251731       
k: 5        xk: [         0.5,           0] fk: 5622.46196835       
k: 6        xk: [         0.6,           0] fk: 5561.09881598       
k: 18       xk: [         0.7,          50] fk: 5016.6332737        
k: 19       xk: [         0.8,          50] fk: 4712.06742548       
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (4712.06742548 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 19671.2796207       
k: 1        xk: [         0.1,           0] fk: 12173.5168307       
k: 2        xk: [         0.2,           0] fk: 10539.1690187       
k: 3        xk: [         0.3,           0] fk: 9269.15275435       
k: 4        xk: [         0.4,           0] fk: 8363.46803761       
k: 5        xk: [         0.5,           0] fk: 7822.1148685        
k: 6        xk: [         0.6,           0] fk: 7645.09324701       
k: 17       xk: [         0.6,          50] fk: 6188.70774101       
k: 18       xk: [         0.7,          50] fk: 4355.80165416       
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (4355.80165416 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 9994.98830359       
k: 1        xk: [         0.1,           0] fk: 6281.59033399       
k: 2        xk: [         0.2,           0] fk: 5241.00997239       
k: 3        xk: [         0.3,           0] fk: 4452.03874174       
k: 4        xk: [         0.4,           0] fk: 3914.67664204       
k: 5        xk: [         0.5,           0] fk: 3628.92367331       
k: 6        xk: [         0.6,           0] fk: 3594.77983553       
k: 18       xk: [         0.7,          50] fk: 3320.66326327       
k: 19       xk: [         0.8,          50] fk: 3283.68535691       
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3283.68535691 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 32826.5944821       
k: 1        xk: [         0.1,           0] fk: 23209.1392938       
k: 2        xk: [         0.2,           0] fk: 16629.3783666       
k: 3        xk: [         0.3,           0] fk: 12249.8987814       
k: 4        xk: [         0.4,           0] fk: 10070.7005381       
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (10070.7005381 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 43873.4642648       
k: 1        xk: [         0.1,           0] fk: 30410.5958776       
k: 2        xk: [         0.2,           0] fk: 21359.933225        
k: 3        xk: [         0.3,           0] fk: 15515.4789918       
k: 4        xk: [         0.4,           0] fk: 12877.2331781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12877.2331781 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 13778.9159658       
k: 1        xk: [         0.1,           0] fk: 10636.9310987       
k: 2        xk: [         0.2,           0] fk: 8606.1189946        
k: 3        xk: [         0.3,           0] fk: 7057.17631137       
k: 4        xk: [         0.4,           0] fk: 5990.10304902       
k: 5        xk: [         0.5,           0] fk: 5404.89920756       
k: 6        xk: [         0.6,           0] fk: 5301.56478698       
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5301.56478698 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 16210.9940926       
k: 1        xk: [         0.1,           0] fk: 10109.8733405       
k: 2        xk: [         0.2,           0] fk: 6495.66835891       
k: 3        xk: [         0.3,           0] fk: 4390.34421079       
k: 4        xk: [         0.4,           0] fk: 3793.90089611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3793.90089611 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 60645.9605372       
k: 1        xk: [         0.1,           0] fk: 48113.1006427       
k: 2        xk: [         0.2,           0] fk: 39162.8316546       
k: 3        xk: [         0.3,           0] fk: 32132.7714874       
k: 4        xk: [         0.4,           0] fk: 27022.9201412       
k: 5        xk: [         0.5,           0] fk: 23833.2776161       
k: 6        xk: [         0.6,           0] fk: 22563.8439119       
k: 18       xk: [         0.7,          50] fk: 22405.2696476       
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22405.2696476 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 27574.9417359       
k: 1        xk: [         0.1,           0] fk: 19706.888794        
k: 2        xk: [         0.2,           0] fk: 14406.6851767       
k: 3        xk: [         0.3,           0] fk: 10696.233357        
k: 4        xk: [         0.4,           0] fk: 8575.53333477       
k: 5        xk: [         0.5,           0] fk: 8044.58511016       
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8044.58511016 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23111.0357575       
k: 1        xk: [         0.1,           0] fk: 17189.7022675       
k: 2        xk: [         0.2,           0] fk: 13805.8676215       
k: 3        xk: [         0.3,           0] fk: 11198.6526482       
k: 4        xk: [         0.4,           0] fk: 9368.05734785       
k: 5        xk: [         0.5,           0] fk: 8314.08172029       
k: 6        xk: [         0.6,           0] fk: 8036.72576556       
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8036.72576556 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 31430.6075613       
k: 1        xk: [         0.1,           0] fk: 25243.6927348       
k: 2        xk: [         0.2,           0] fk: 21400.8713774       
k: 3        xk: [         0.3,           0] fk: 18146.1033112       
k: 4        xk: [         0.4,           0] fk: 15479.3885363       
k: 5        xk: [         0.5,           0] fk: 13400.7270526       
k: 6        xk: [         0.6,           0] fk: 11910.1188601       
k: 7        xk: [         0.7,           0] fk: 11007.5639589       
k: 8        xk: [         0.8,           0] fk: 10693.0623488       
k: 19       xk: [         0.8,          50] fk: 10650.0180077       
k: 20       xk: [         0.9,          50] fk: 10605.9665006       
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10605.9665006 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 35676.0478508       
k: 1        xk: [         0.1,           0] fk: 25362.019514        
k: 2        xk: [         0.2,           0] fk: 18138.4249451       
k: 3        xk: [         0.3,           0] fk: 13491.637874        
k: 4        xk: [         0.4,           0] fk: 11421.6583009       
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11421.6583009 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 10160.3919098       
k: 1        xk: [         0.1,           0] fk: 7639.30295369       
k: 2        xk: [         0.2,           0] fk: 6004.48976447       
k: 3        xk: [         0.3,           0] fk: 4726.16150825       
k: 4        xk: [         0.4,           0] fk: 3804.31818501       
k: 5        xk: [         0.5,           0] fk: 3238.95979477       
k: 6        xk: [         0.6,           0] fk: 3030.08633752       
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3030.08633752 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 37130.156336        
k: 1        xk: [         0.1,           0] fk: 30773.5640001       
k: 2        xk: [         0.2,           0] fk: 25903.5659598       
k: 3        xk: [         0.3,           0] fk: 21678.145292        
k: 4        xk: [         0.4,           0] fk: 18097.3019968       
k: 5        xk: [         0.5,           0] fk: 15161.036074        
k: 6        xk: [         0.6,           0] fk: 12869.3475237       
k: 7        xk: [         0.7,           0] fk: 11222.2363459       
k: 8        xk: [         0.8,           0] fk: 10219.7025407       
k: 9        xk: [         0.9,           0] fk: 9861.74610793       
k: 19       xk: [         0.8,          50] fk: 9743.51116368       
k: 20       xk: [         0.9,          50] fk: 9494.68476538       
k: 31       xk: [         0.9,         100] fk: 9385.67709387       
k: 64       xk: [         0.9,         250] fk: 9376.14613748       
k: 75       xk: [         0.9,         300] fk: 9297.79110681       
k: 86       xk: [         0.9,         350] fk: 9187.01389933       
k: 97       xk: [         0.9,         400] fk: 9059.85349099       
k: 108      xk: [         0.9,         450] fk: 8928.15534058       
k: 119      xk: [         0.9,         500] fk: 8799.19479648       
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (8799.19479648 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 14378.6840735       
k: 1        xk: [         0.1,           0] fk: 8399.52791278       
k: 2        xk: [         0.2,           0] fk: 5039.32748224       
k: 3        xk: [         0.3,           0] fk: 3168.11625177       
k: 4        xk: [         0.4,           0] fk: 2785.89422137       
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2785.89422137 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33336.0067229       
k: 1        xk: [         0.1,           0] fk: 26602.9947471       
k: 2        xk: [         0.2,           0] fk: 21568.1376862       
k: 3        xk: [         0.3,           0] fk: 17630.0326789       
k: 4        xk: [         0.4,           0] fk: 14788.6797251       
k: 5        xk: [         0.5,           0] fk: 13044.0788248       
k: 6        xk: [         0.6,           0] fk: 12396.2299781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12396.2299781 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 74868.9214227       
k: 1        xk: [         0.1,           0] fk: 50020.2532151       
k: 2        xk: [         0.2,           0] fk: 32447.4626813       
k: 3        xk: [         0.3,           0] fk: 21239.765001        
k: 4        xk: [         0.4,           0] fk: 16397.160174        
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16397.160174 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34510.7229589       
k: 1        xk: [         0.1,           0] fk: 26627.6419607       
k: 2        xk: [         0.2,           0] fk: 20973.6543214       
k: 3        xk: [         0.3,           0] fk: 16839.668889        
k: 4        xk: [         0.4,           0] fk: 14225.6856633       
k: 5        xk: [         0.5,           0] fk: 13131.7046444       
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13131.7046444 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 20716.7146128       
k: 1        xk: [         0.1,           0] fk: 13265.0272157       
k: 2        xk: [         0.2,           0] fk: 8727.15753861       
k: 3        xk: [         0.3,           0] fk: 5855.29399648       
k: 4        xk: [         0.4,           0] fk: 4649.43658932       
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4649.43658932 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 29155.8504053       
k: 1        xk: [         0.1,           0] fk: 22103.0405896       
k: 2        xk: [         0.2,           0] fk: 17387.4636785       
k: 3        xk: [         0.3,           0] fk: 13912.7472091       
k: 4        xk: [         0.4,           0] fk: 11678.8911812       
k: 5        xk: [         0.5,           0] fk: 10685.8955949       
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10685.8955949 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 14516.4590835       
k: 1        xk: [         0.1,           0] fk: 10928.5701653       
k: 2        xk: [         0.2,           0] fk: 8870.73790487       
k: 3        xk: [         0.3,           0] fk: 7268.20609076       
k: 4        xk: [         0.4,           0] fk: 6120.97472293       
k: 5        xk: [         0.5,           0] fk: 5429.04380138       
k: 6        xk: [         0.6,           0] fk: 5192.41332611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.41332611 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 141984.64917        
k: 1        xk: [         0.1,           0] fk: 102496.261982       
k: 2        xk: [         0.2,           0] fk: 73757.7478526       
k: 3        xk: [         0.3,           0] fk: 54569.0870801       
k: 4        xk: [         0.4,           0] fk: 44930.2796641       
k: 5        xk: [         0.5,           0] fk: 44841.3256046       
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (44841.3256046 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 112660.585379       
k: 1        xk: [         0.1,           0] fk: 81916.0847604       
k: 2        xk: [         0.2,           0] fk: 59882.2853129       
k: 3        xk: [         0.3,           0] fk: 44909.7311567       
k: 4        xk: [         0.4,           0] fk: 36998.4222917       
k: 5        xk: [         0.5,           0] fk: 36148.358718        
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (36148.358718 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 66368.7561133       
k: 1        xk: [         0.1,           0] fk: 53755.3594536       
k: 2        xk: [         0.2,           0] fk: 44470.7985577       
k: 3        xk: [         0.3,           0] fk: 36921.030357        
k: 4        xk: [         0.4,           0] fk: 31106.0548514       
k: 5        xk: [         0.5,           0] fk: 27025.872041        
k: 6        xk: [         0.6,           0] fk: 24680.4819256       
k: 7        xk: [         0.7,           0] fk: 24069.8845053       
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24069.8845053 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 22572.9564775       
k: 1        xk: [         0.1,           0] fk: 16174.476814        
k: 2        xk: [         0.2,           0] fk: 12158.0492815       
k: 3        xk: [         0.3,           0] fk: 9363.43259809       
k: 4        xk: [         0.4,           0] fk: 7790.62676395       
k: 5        xk: [         0.5,           0] fk: 7439.63177903       
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7439.63177903 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 139373.413104       
k: 1        xk: [         0.1,           0] fk: 82588.5572885       
k: 2        xk: [         0.2,           0] fk: 43957.4912618       
k: 3        xk: [         0.3,           0] fk: 21861.0392187       
k: 4        xk: [         0.4,           0] fk: 16299.2011591       
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16299.2011591 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 188648.374744       
k: 1        xk: [         0.1,           0] fk: 126666.314793       
k: 2        xk: [         0.2,           0] fk: 82230.6553801       
k: 3        xk: [         0.3,           0] fk: 54328.641801        
k: 4        xk: [         0.4,           0] fk: 42960.2740553       
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42960.2740553 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 156060.662069       
k: 1        xk: [         0.1,           0] fk: 108659.936595       
k: 2        xk: [         0.2,           0] fk: 74627.8960497       
k: 3        xk: [         0.3,           0] fk: 53077.5437017       
k: 4        xk: [         0.4,           0] fk: 44008.8795512       
k: 114      xk: [         0.4,         500] fk: 40740.7316644       
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (40740.7316644 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 6601.70019207       
k: 1        xk: [         0.1,           0] fk: 4502.19260876       
k: 2        xk: [         0.2,           0] fk: 3264.61583415       
k: 3        xk: [         0.3,           0] fk: 2456.69212947       
k: 4        xk: [         0.4,           0] fk: 2078.4214947        
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2078.4214947 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 24536.7604569       
k: 1        xk: [         0.1,           0] fk: 17039.4394883       
k: 2        xk: [         0.2,           0] fk: 11826.4296404       
k: 3        xk: [         0.3,           0] fk: 8506.38965914       
k: 4        xk: [         0.4,           0] fk: 7079.31954452       
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7079.31954452 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23919.0952585       
k: 1        xk: [         0.1,           0] fk: 17239.444227        
k: 2        xk: [         0.2,           0] fk: 12603.5436644       
k: 3        xk: [         0.3,           0] fk: 9547.83288509       
k: 4        xk: [         0.4,           0] fk: 8072.31188905       
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (8072.31188905 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 41472.5815614       
k: 1        xk: [         0.1,           0] fk: 34081.4966204       
k: 2        xk: [         0.2,           0] fk: 28412.6024817       
k: 3        xk: [         0.3,           0] fk: 23770.3636236       
k: 4        xk: [         0.4,           0] fk: 20154.7800463       
k: 5        xk: [         0.5,           0] fk: 17565.8517496       
k: 6        xk: [         0.6,           0] fk: 16003.5787336       
k: 7        xk: [         0.7,           0] fk: 15467.9609983       
k: 18       xk: [         0.7,          50] fk: 14832.4678915       
k: 107      xk: [         0.8,         450] fk: 14733.8859747       
k: 117      xk: [         0.7,         500] fk: 14398.6122          
k: 118      xk: [         0.8,         500] fk: 14357.953104        
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (14357.953104 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 5334.4090188        
k: 1        xk: [         0.1,           0] fk: 3892.03407346       
k: 2        xk: [         0.2,           0] fk: 3102.91493374       
k: 3        xk: [         0.3,           0] fk: 2514.56856386       
k: 4        xk: [         0.4,           0] fk: 2126.99496381       
k: 5        xk: [         0.5,           0] fk: 1940.19413361       
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1940.19413361 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23522.8259239       
k: 1        xk: [         0.1,           0] fk: 15367.5082935       
k: 2        xk: [         0.2,           0] fk: 10493.8299966       
k: 3        xk: [         0.3,           0] fk: 7361.38122012       
k: 4        xk: [         0.4,           0] fk: 5970.16196422       
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5970.16196422 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 10757.5128385       
k: 1        xk: [         0.1,           0] fk: 7221.9681308        
k: 2        xk: [         0.2,           0] fk: 5413.67329467       
k: 3        xk: [         0.3,           0] fk: 4155.74340876       
k: 4        xk: [         0.4,           0] fk: 3448.17847307       
k: 5        xk: [         0.5,           0] fk: 3290.9784876        
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3290.9784876 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 19403.0986304       
k: 1        xk: [         0.1,           0] fk: 13922.9525304       
k: 2        xk: [         0.2,           0] fk: 11386.9562967       
k: 3        xk: [         0.3,           0] fk: 9483.83202166       
k: 4        xk: [         0.4,           0] fk: 8213.57970535       
k: 5        xk: [         0.5,           0] fk: 7576.19934775       
k: 6        xk: [         0.6,           0] fk: 7571.69094886       
k: 17       xk: [         0.6,          50] fk: 7444.94613084       
k: 18       xk: [         0.7,          50] fk: 6933.86819498       
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (6933.86819498 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33974.9388195       
k: 1        xk: [         0.1,           0] fk: 25528.2069218       
k: 2        xk: [         0.2,           0] fk: 19638.4747617       
k: 3        xk: [         0.3,           0] fk: 15475.7777018       
k: 4        xk: [         0.4,           0] fk: 13040.115742        
k: 5        xk: [         0.5,           0] fk: 12331.4888823       
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12331.4888823 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34181.7067805       
k: 1        xk: [         0.1,           0] fk: 26775.7091908       
k: 2        xk: [         0.2,           0] fk: 21469.6998182       
k: 3        xk: [         0.3,           0] fk: 17434.5259793       
k: 4        xk: [         0.4,           0] fk: 14670.1876739       
k: 5        xk: [         0.5,           0] fk: 13176.6849021       
k: 6        xk: [         0.6,           0] fk: 12954.0176639       
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12954.0176639 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 21988.153738        
k: 1        xk: [         0.1,           0] fk: 17025.9462156       
k: 2        xk: [         0.2,           0] fk: 13688.7683468       
k: 3        xk: [         0.3,           0] fk: 11099.2718218       
k: 4        xk: [         0.4,           0] fk: 9257.45664058       
k: 5        xk: [         0.5,           0] fk: 8163.32280316       
k: 6        xk: [         0.6,           0] fk: 7816.87030954       
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.87030954 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 30593.5851764       
k: 1        xk: [         0.1,           0] fk: 22382.0755004       
k: 2        xk: [         0.2,           0] fk: 16496.6955823       
k: 3        xk: [         0.3,           0] fk: 12423.6083422       
k: 4        xk: [         0.4,           0] fk: 10162.8137804       
k: 5        xk: [         0.5,           0] fk: 9714.3118966        
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9714.3118966 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 28846.7259313       
k: 1        xk: [         0.1,           0] fk: 22784.4819863       
k: 2        xk: [         0.2,           0] fk: 18276.2235486       
k: 3        xk: [         0.3,           0] fk: 14796.7706129       
k: 4        xk: [         0.4,           0] fk: 12346.123179        
k: 5        xk: [         0.5,           0] fk: 10924.281247        
k: 6        xk: [         0.6,           0] fk: 10531.2448169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10531.2448169 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 70925.8752768       
k: 1        xk: [         0.1,           0] fk: 50121.3023587       
k: 2        xk: [         0.2,           0] fk: 35169.0237864       
k: 3        xk: [         0.3,           0] fk: 25156.2488925       
k: 4        xk: [         0.4,           0] fk: 20082.977677        
k: 5        xk: [         0.5,           0] fk: 19949.2101398       
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19949.2101398 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 59467.0252757       
k: 1        xk: [         0.1,           0] fk: 46541.0137297       
k: 2        xk: [         0.2,           0] fk: 37265.7829545       
k: 3        xk: [         0.3,           0] fk: 30315.9930593       
k: 4        xk: [         0.4,           0] fk: 25691.6440441       
k: 5        xk: [         0.5,           0] fk: 23392.7359089       
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23392.7359089 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 42012.5196458       
k: 1        xk: [         0.1,           0] fk: 35441.5437671       
k: 2        xk: [         0.2,           0] fk: 30787.8782669       
k: 3        xk: [         0.3,           0] fk: 26628.809577        
k: 4        xk: [         0.4,           0] fk: 22964.3376973       
k: 5        xk: [         0.5,           0] fk: 19794.462628        
k: 6        xk: [         0.6,           0] fk: 17119.1843689       
k: 7        xk: [         0.7,           0] fk: 14938.5029202       
k: 8        xk: [         0.8,           0] fk: 13252.4182817       
k: 9        xk: [         0.9,           0] fk: 12060.9304535       
k: 10       xk: [           1,           0] fk: 11364.0394357       
k: 31       xk: [         0.9,         100] fk: 11239.6178458       
k: 42       xk: [         0.9,         150] fk: 11216.0639123       
k: 64       xk: [         0.9,         250] fk: 11167.4168591       
k: 75       xk: [         0.9,         300] fk: 11058.9135502       
k: 86       xk: [         0.9,         350] fk: 10909.2485252       
k: 97       xk: [         0.9,         400] fk: 10739.170682        
k: 108      xk: [         0.9,         450] fk: 10564.1801899       
k: 119      xk: [         0.9,         500] fk: 10393.7520518       
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (10393.7520518 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 53091.4390749       
k: 1        xk: [         0.1,           0] fk: 39275.0806006       
k: 2        xk: [         0.2,           0] fk: 29794.4782661       
k: 3        xk: [         0.3,           0] fk: 23208.0639422       
k: 4        xk: [         0.4,           0] fk: 19515.837629        
k: 5        xk: [         0.5,           0] fk: 18717.7993265       
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18717.7993265 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 100711.310967       
k: 1        xk: [         0.1,           0] fk: 71913.7189589       
k: 2        xk: [         0.2,           0] fk: 51365.1561599       
k: 3        xk: [         0.3,           0] fk: 37700.7354138       
k: 4        xk: [         0.4,           0] fk: 30920.4567207       
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30920.4567207 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33350.0780338       
k: 1        xk: [         0.1,           0] fk: 24327.8524766       
k: 2        xk: [         0.2,           0] fk: 18354.0614007       
k: 3        xk: [         0.3,           0] fk: 14258.1798916       
k: 4        xk: [         0.4,           0] fk: 12040.2079493       
k: 5        xk: [         0.5,           0] fk: 11700.1455739       
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11700.1455739 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 37039.1682285       
k: 1        xk: [         0.1,           0] fk: 28150.8425759       
k: 2        xk: [         0.2,           0] fk: 23100.413622        
k: 3        xk: [         0.3,           0] fk: 19184.0614291       
k: 4        xk: [         0.4,           0] fk: 16401.7859973       
k: 5        xk: [         0.5,           0] fk: 14753.5873266       
k: 6        xk: [         0.6,           0] fk: 14239.4654169       
k: 17       xk: [         0.6,          50] fk: 13361.983139        
k: 18       xk: [         0.7,          50] fk: 12911.7334733       
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (12911.7334733 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 63963.0178642       
k: 1        xk: [         0.1,           0] fk: 46796.1428101       
k: 2        xk: [         0.2,           0] fk: 34677.850792        
k: 3        xk: [         0.3,           0] fk: 26224.6677409       
k: 4        xk: [         0.4,           0] fk: 21436.5936568       
k: 5        xk: [         0.5,           0] fk: 20313.6285396       
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20313.6285396 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 90916.0115374       
k: 1        xk: [         0.1,           0] fk: 71705.5146785       
k: 2        xk: [         0.2,           0] fk: 56997.3375513       
k: 3        xk: [         0.3,           0] fk: 46016.4722501       
k: 4        xk: [         0.4,           0] fk: 38762.918775        
k: 5        xk: [         0.5,           0] fk: 35236.6771259       
k: 17       xk: [         0.6,          50] fk: 34332.010094        
k: 104      xk: [         0.5,         450] fk: 34313.9892104       
k: 105      xk: [         0.6,         450] fk: 33441.3113007       
k: 115      xk: [         0.5,         500] fk: 31124.1870426       
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (31124.1870426 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 55156.7500081       
k: 1        xk: [         0.1,           0] fk: 44197.6357673       
k: 2        xk: [         0.2,           0] fk: 36342.4817413       
k: 3        xk: [         0.3,           0] fk: 30062.8841214       
k: 4        xk: [         0.4,           0] fk: 25358.8429074       
k: 5        xk: [         0.5,           0] fk: 22230.3580994       
k: 6        xk: [         0.6,           0] fk: 20677.4296974       
k: 18       xk: [         0.7,          50] fk: 20166.8905238       
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20166.8905238 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 27563.6493743       
k: 1        xk: [         0.1,           0] fk: 19619.2607888       
k: 2        xk: [         0.2,           0] fk: 14605.6829403       
k: 3        xk: [         0.3,           0] fk: 11180.1608592       
k: 4        xk: [         0.4,           0] fk: 9342.69454548       
k: 5        xk: [         0.5,           0] fk: 9093.28399919       
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (9093.28399919 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 13953.1286165       
k: 1        xk: [         0.1,           0] fk: 9471.89249067       
k: 2        xk: [         0.2,           0] fk: 6648.1115501        
k: 3        xk: [         0.3,           0] fk: 4791.10995168       
k: 4        xk: [         0.4,           0] fk: 3900.88769539       
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3900.88769539 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 120128.634826       
k: 1        xk: [         0.1,           0] fk: 94453.6140658       
k: 2        xk: [         0.2,           0] fk: 74670.4729124       
k: 3        xk: [         0.3,           0] fk: 60096.987735        
k: 4        xk: [         0.4,           0] fk: 50733.1585335       
k: 5        xk: [         0.5,           0] fk: 46578.9853079       
k: 16       xk: [         0.5,          50] fk: 43824.2133651       
k: 82       xk: [         0.5,         350] fk: 41503.1702452       
k: 92       xk: [         0.4,         400] fk: 41375.9232929       
k: 93       xk: [         0.5,         400] fk: 38314.5885641       
k: 103      xk: [         0.4,         450] fk: 36684.3465748       
k: 104      xk: [         0.5,         450] fk: 35261.0625351       
k: 114      xk: [         0.4,         500] fk: 32446.4930098       
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (32446.4930098 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 29989.6643315       
k: 1        xk: [         0.1,           0] fk: 24493.7243466       
k: 2        xk: [         0.2,           0] fk: 20773.7342534       
k: 3        xk: [         0.3,           0] fk: 17631.3089668       
k: 4        xk: [         0.4,           0] fk: 15066.4484869       
k: 5        xk: [         0.5,           0] fk: 13079.1528135       
k: 6        xk: [         0.6,           0] fk: 11669.4219468       
k: 7        xk: [         0.7,           0] fk: 10837.2558868       
k: 8        xk: [         0.8,           0] fk: 10582.6546333       
k: 19       xk: [         0.8,          50] fk: 9970.63388806       
k: 108      xk: [         0.9,         450] fk: 9961.72826892       
k: 119      xk: [         0.9,         500] fk: 9852.95232303       
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (9852.95232303 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 48183.6562985       
k: 1        xk: [         0.1,           0] fk: 38628.676714        
k: 2        xk: [         0.2,           0] fk: 31372.8116825       
k: 3        xk: [         0.3,           0] fk: 25656.0239004       
k: 4        xk: [         0.4,           0] fk: 21478.3133675       
k: 5        xk: [         0.5,           0] fk: 18839.6800839       
k: 6        xk: [         0.6,           0] fk: 17740.1240497       
k: 17       xk: [         0.6,          50] fk: 17457.960652        
k: 18       xk: [         0.7,          50] fk: 17394.432071        
k: 117      xk: [         0.7,         500] fk: 16837.7046882       
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (16837.7046882 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23132.7425346       
k: 1        xk: [         0.1,           0] fk: 18898.2221552       
k: 2        xk: [         0.2,           0] fk: 16083.495992        
k: 3        xk: [         0.3,           0] fk: 13644.2359594       
k: 4        xk: [         0.4,           0] fk: 11580.4420576       
k: 5        xk: [         0.5,           0] fk: 9892.11428644       
k: 6        xk: [         0.6,           0] fk: 8579.25264605       
k: 7        xk: [         0.7,           0] fk: 7641.85713637       
k: 8        xk: [         0.8,           0] fk: 7079.92775742       
k: 9        xk: [         0.9,           0] fk: 6893.46450918       
k: 19       xk: [         0.8,          50] fk: 6569.96343998       
k: 20       xk: [         0.9,          50] fk: 6511.67271166       
k: 31       xk: [         0.9,         100] fk: 6394.56669306       
k: 75       xk: [         0.9,         300] fk: 6377.18229176       
k: 86       xk: [         0.9,         350] fk: 6301.33549671       
k: 97       xk: [         0.9,         400] fk: 6211.3397401        
k: 108      xk: [         0.9,         450] fk: 6117.57577408       
k: 119      xk: [         0.9,         500] fk: 6026.3625449        
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6026.3625449 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 36898.88387         
k: 1        xk: [         0.1,           0] fk: 29188.1831019       
k: 2        xk: [         0.2,           0] fk: 24860.7578457       
k: 3        xk: [         0.3,           0] fk: 21206.8409318       
k: 4        xk: [         0.4,           0] fk: 18226.4323603       
k: 5        xk: [         0.5,           0] fk: 15919.532131        
k: 6        xk: [         0.6,           0] fk: 14286.1402441       
k: 7        xk: [         0.7,           0] fk: 13326.2566994       
k: 8        xk: [         0.8,           0] fk: 13039.8814971       
k: 18       xk: [         0.7,          50] fk: 11552.3463497       
k: 19       xk: [         0.8,          50] fk: 11243.4810401       
k: 97       xk: [         0.9,         400] fk: 11188.6759628       
k: 108      xk: [         0.9,         450] fk: 11096.1750059       
k: 118      xk: [         0.8,         500] fk: 10975.4769597       
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (10975.4769597 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 40987.1607828       
k: 1        xk: [         0.1,           0] fk: 25529.4062284       
k: 2        xk: [         0.2,           0] fk: 24097.104562        
k: 3        xk: [         0.3,           0] fk: 23178.8819216       
k: 4        xk: [         0.4,           0] fk: 22774.7383073       
k: 15       xk: [         0.4,          50] fk: 17184.4897579       
k: 16       xk: [         0.5,          50] fk: 6314.00738975       
k: 17       xk: [         0.6,          50] fk: 5061.11307685       
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (5061.11307685 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 45789.3602829       
k: 1        xk: [         0.1,           0] fk: 29494.8844257       
k: 2        xk: [         0.2,           0] fk: 28976.1193259       
k: 3        xk: [         0.3,           0] fk: 28735.4751754       
k: 15       xk: [         0.4,          50] fk: 7398.32928523       
k: 16       xk: [         0.5,          50] fk: 1951.98342778       
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (1951.98342778 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 55284.1384162       
k: 1        xk: [         0.1,           0] fk: 42669.3368942       
k: 2        xk: [         0.2,           0] fk: 42512.0085314       
k: 13       xk: [         0.2,          50] fk: 11714.5660954       
k: 14       xk: [         0.3,          50] fk: 835.864298566       
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (835.864298566 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 135177.865875       
k: 1        xk: [         0.1,           0] fk: 113890.174458       
k: 2        xk: [         0.2,           0] fk: 111502.715523       
k: 3        xk: [         0.3,           0] fk: 110854.851081       
k: 11       xk: [           0,          50] fk: 98792.66173         
k: 12       xk: [         0.1,          50] fk: 9629.2606458        
k: 13       xk: [         0.2,          50] fk: 4245.32591594       
k: 24       xk: [         0.2,         100] fk: 3619.36982584       
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (3619.36982584 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 17458.745706711263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 17458.7457067       

        Parameter values: [0.50318835309461718, 12.899153030531982]
        Function value:   16094.350800196738
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.503188353094617,  12.899153030531982])              
  fk: 16594.350800196738  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50319,      12.899] fk: 16594.3508002       

        Parameter values: [0.50318835309529997, 12.899153030853094]
        Function value:   16594.350800196735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.5031883530953  ,  12.899153030853094])              
  fk: 16594.350800196735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50319,      12.899] fk: 16594.3508002       

        Parameter values: [0.50318835309529997, 12.899153030853094]
        Function value:   16594.350800196735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.50318835309529997, 12.899153030853094]
Function value:   16594.350800196735
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (16594.3508002 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,  500.000000000000114])            
  fk: 25066.22816148631   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         500] fk: 25066.2281615       

        Parameter values: [0.21903647680684676, 2214.9154543088266]
        Function value:   780.89679652097561
        Iterations:       7
        Function calls:   16
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  2.190364768068468e-01,   2.214915454308827e+03])      
  fk: 780.89679652097561  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,      2214.9] fk: 780.896796521       

        Parameter values: [0.21903607487382701, 2214.957372925589]
        Function value:   780.89679400823775
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  2.190360748738270e-01,   2.214957372925589e+03])      
  fk: 780.89679400823775  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,        2215] fk: 780.896794008       

        Parameter values: [0.21903607487382656, 2214.9573729256354]
        Function value:   780.89679400823729
        Iterations:       1
        Function calls:   19
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.190360748738266e-01,   2.214957372925635e+03])      
  fk: 780.89679400823729  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,        2215] fk: 780.896794008       

        Parameter values: [0.21903607487382656, 2214.9573729256354]
        Function value:   780.89679400823729
        Iterations:       1
        Function calls:   27
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.21903607487382656, 2214.9573729256354]
Function value:   780.89679400823729
Iterations:       10
Function calls:   65
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (780.896794008 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 14896.696087230728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 14896.6960872       

        Parameter values: [0.46372063775643346, 7.1887948528183294]
        Function value:   13969.451982981467
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.463720637756433,  7.188794852818329])                
  fk: 14469.451982981467  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888] fk: 14469.451983        

        Parameter values: [0.46372063775643352, 7.1887948528183676]
        Function value:   14469.451982981465
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.463720637756434,  7.188794852818368])                
  fk: 14469.451982981465  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888] fk: 14469.451983        

        Parameter values: [0.46372063775644345, 7.1887948528232419]
        Function value:   14469.451982981465
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46372063775644345, 7.1887948528232419]
Function value:   14469.451982981465
Iterations:       7
Function calls:   24
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14469.451983 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 9541.1886625134284  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 9541.18866251       

        Parameter values: [0.40775962345931216, 6.1819815348169032]
        Function value:   8608.3577772698154
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.407759623459312,  6.181981534816903])                
  fk: 9108.3577772698154  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182] fk: 9108.35777727       

        Parameter values: [0.40775965159541849, 6.1819843116712985]
        Function value:   9108.3577772696553
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.407759651595418,  6.181984311671298])                
  fk: 9108.3577772696553  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182] fk: 9108.35777727       

        Parameter values: [0.40775965159542005, 6.1819843116719229]
        Function value:   9108.3577772696535
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.40775965159542 ,  6.181984311671923])                
  fk: 9108.3577772696535  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182] fk: 9108.35777727       

        Parameter values: [0.40775965159542005, 6.1819843116719229]
        Function value:   9108.3577772696535
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.40775965159542005, 6.1819843116719229]
Function value:   9108.3577772696535
Iterations:       7
Function calls:   20
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9108.35777727 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 10820.198656865867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 10820.1986569       

        Parameter values: [0.5135820846000223, 9.8244638477532362]
        Function value:   9830.4602513122063
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.513582084600022,  9.824463847753236])                
  fk: 10330.460251312206  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8245] fk: 10330.4602513       

        Parameter values: [0.51358208461299126, 9.8244638536653373]
        Function value:   10330.460251312204
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.513582084612991,  9.824463853665337])                
  fk: 10330.460251312204  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8245] fk: 10330.4602513       

        Parameter values: [0.51358208461299126, 9.8244638536653319]
        Function value:   10330.460251312203
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.513582084612991,  9.824463853665332])                
  fk: 10330.460251312203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8245] fk: 10330.4602513       

        Parameter values: [0.51358208461299126, 9.8244638536653319]
        Function value:   10330.460251312203
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.51358208461299126, 9.8244638536653319]
Function value:   10330.460251312203
Iterations:       8
Function calls:   24
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10330.4602513 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 8747.1825981243474  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 8747.18259812       

        Parameter values: [0.53580155618553982, 8.9649978411331421]
        Function value:   7799.9002987410804
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.53580155618554 ,  8.964997841133142])                
  fk: 8299.9002987410804  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5358,       8.965] fk: 8299.90029874       

        Parameter values: [0.5358015566117641, 8.9649980392026318]
        Function value:   8299.9002987410768
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.535801556611764,  8.964998039202632])                
  fk: 8299.9002987410768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5358,       8.965] fk: 8299.90029874       

        Parameter values: [0.5358015566117641, 8.9649980392026336]
        Function value:   8299.9002987410768
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5358015566117641, 8.9649980392026336]
Function value:   8299.9002987410768
Iterations:       7
Function calls:   18
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8299.90029874 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 4337.4720387558336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 4337.47203876       

        Parameter values: [0.54579448100339645, 13.460925054926268]
        Function value:   3038.2365517328276
        Iterations:       6
        Function calls:   15
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  0.545794481003396,  13.460925054926268])              
  fk: 3538.2365517328276  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54579,      13.461] fk: 3538.23655173       

        Parameter values: [0.54579448102858263, 13.460925057471446]
        Function value:   3538.2365517328267
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.545794481028583,  13.460925057471446])              
  fk: 3538.2365517328267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54579,      13.461] fk: 3538.23655173       

        Parameter values: [0.54579448102858263, 13.460925057471446]
        Function value:   3538.2365517328267
        Iterations:       1
        Function calls:   29
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54579448102858263, 13.460925057471446]
Function value:   3538.2365517328267
Iterations:       8
Function calls:   51
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (3538.23655173 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 1871.5303216573768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 1871.53032166       

        Parameter values: [0.59518546606958, 20.273721955434212]
        Function value:   1574.1481039970222
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.59518546606958 ,  20.273721955434212])              
  fk: 1574.1481039970222  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59519,      20.274] fk: 1574.148104         

        Parameter values: [0.59518546607756662, 20.273721958234283]
        Function value:   1574.1481039970222
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59518546607756662, 20.273721958234283]
Function value:   1574.1481039970222
Iterations:       6
Function calls:   17
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (1574.148104 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.8              ,  50.000000000000007])              
  fk: 4712.0674254790583  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,          50] fk: 4712.06742548       

        Parameter values: [0.56902943763332159, 15.400763066883185]
        Function value:   3800.0232601973066
        Iterations:       6
        Function calls:   16
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  0.569029437633322,  15.400763066883185])              
  fk: 3800.0232601973066  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56903,      15.401] fk: 3800.0232602        

        Parameter values: [0.5690298631340629, 15.400806450897589]
        Function value:   3800.0232601924313
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.569029863134063,  15.400806450897589])              
  fk: 3800.0232601924313  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56903,      15.401] fk: 3800.02326019       

        Parameter values: [0.56902986313421744, 15.400806450918317]
        Function value:   3800.0232601924313
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56902986313421744, 15.400806450918317]
Function value:   3800.0232601924313
Iterations:       8
Function calls:   25
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (3800.02326019 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 4355.801654161919   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 4355.80165416       

        Parameter values: [0.59770979384324852, 25.819832255257033]
        Function value:   4022.0748974278372
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.597709793843249,  25.819832255257033])              
  fk: 4022.0748974278372  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82] fk: 4022.07489743       

        Parameter values: [0.59770979389960421, 25.819832262571019]
        Function value:   4022.0748974278372
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59770979389960421, 25.819832262571019]
Function value:   4022.0748974278372
Iterations:       6
Function calls:   17
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (4022.07489743 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.8              ,  50.000000000000007])              
  fk: 3283.6853569083055  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,          50] fk: 3283.68535691       

        Parameter values: [0.56405035123565517, 15.215850309791721]
        Function value:   2564.2561998489155
        Iterations:       5
        Function calls:   14
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.564050351235655,  15.215850309791721])              
  fk: 2564.2561998489155  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56405,      15.216] fk: 2564.25619985       

        Parameter values: [0.56405027103273997, 15.215834692999039]
        Function value:   2564.2561998483875
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.56405027103274 ,  15.215834692999039])              
  fk: 2564.2561998483875  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56405,      15.216] fk: 2564.25619985       

        Parameter values: [0.56405027103273997, 15.215834692999044]
        Function value:   2564.2561998483875
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56405027103273997, 15.215834692999044]
Function value:   2564.2561998483875
Iterations:       7
Function calls:   32
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (2564.25619985 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 10070.700538052157  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 10070.7005381       

        Parameter values: [0.44886429386462401, 7.7914506396046175]
        Function value:   8969.1835165584107
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.448864293864624,  7.791450639604617])                
  fk: 9469.1835165584107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915] fk: 9469.18351656       

        Parameter values: [0.44886429386463861, 7.7914506396113898]
        Function value:   9469.1835165584107
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.448864293864639,  7.79145063961139 ])                
  fk: 9469.1835165584107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915] fk: 9469.18351656       

        Parameter values: [0.44886429386463855, 7.7914506396113898]
        Function value:   9469.1835165584089
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.448864293864639,  7.79145063961139 ])                
  fk: 9469.1835165584089  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915] fk: 9469.18351656       

        Parameter values: [0.44886429386463855, 7.791450639611404]
        Function value:   9469.1835165584089
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44886429386463855, 7.791450639611404]
Function value:   9469.1835165584089
Iterations:       8
Function calls:   21
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (9469.18351656 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 12877.233178063123  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 12877.2331781       

        Parameter values: [0.43215561403987729, 4.616902576078024]
        Function value:   11953.587712455719
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.432155614039877,  4.616902576078024])                
  fk: 12453.587712455719  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169] fk: 12453.5877125       

        Parameter values: [0.43215562483615816, 4.6169036489319044]
        Function value:   12453.587712455694
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.432155624836158,  4.616903648931904])                
  fk: 12453.587712455694  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169] fk: 12453.5877125       

        Parameter values: [0.43215562483615838, 4.6169036489319994]
        Function value:   12453.58771245569
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.432155624836158,  4.616903648931999])                
  fk: 12453.58771245569   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169] fk: 12453.5877125       

        Parameter values: [0.43215562483615833, 4.6169036489319977]
        Function value:   12453.587712455688
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ 0.432155624836158,  4.616903648931998])                
  fk: 12453.587712455688  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169] fk: 12453.5877125       

        Parameter values: [0.43215562483615833, 4.6169036489319994]
        Function value:   12453.587712455688
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43215562483615833, 4.6169036489319994]
Function value:   12453.587712455688
Iterations:       8
Function calls:   23
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12453.5877125 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 5301.5647869842051  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 5301.56478698       

        Parameter values: [0.57175891500833231, 6.6070120950675397]
        Function value:   4681.9393353233354
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.571758915008332,  6.60701209506754 ])                
  fk: 5181.9393353233354  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607] fk: 5181.93933532       

        Parameter values: [0.5717589150086414, 6.6070120952188249]
        Function value:   5181.9393353233336
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.571758915008641,  6.607012095218825])                
  fk: 5181.9393353233336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607] fk: 5181.93933532       

        Parameter values: [0.5717589150086414, 6.6070120952188249]
        Function value:   5181.9393353233336
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5717589150086414, 6.6070120952188249]
Function value:   5181.9393353233336
Iterations:       7
Function calls:   18
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5181.93933532 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 3793.9008961135901  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 3793.90089611       

        Parameter values: [0.38936068612968161, 2.1685014792069239]
        Function value:   3209.7003682320519
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.389360686129682,  2.168501479206924])                
  fk: 3709.7003682320519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685] fk: 3709.70036823       

        Parameter values: [0.38936068655023731, 2.1685014955035644]
        Function value:   3709.7003682320515
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.389360686550237,  2.168501495503564])                
  fk: 3709.7003682320515  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685] fk: 3709.70036823       

        Parameter values: [0.38936068655023737, 2.1685014955035635]
        Function value:   3709.700368232051
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.389360686550237,  2.168501495503564])                
  fk: 3709.700368232051   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685] fk: 3709.70036823       

        Parameter values: [0.38936068655023737, 2.1685014955035653]
        Function value:   3709.700368232051
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38936068655023737, 2.1685014955035653]
Function value:   3709.700368232051
Iterations:       7
Function calls:   19
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3709.70036823 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 22405.269647623354  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 22405.2696476       

        Parameter values: [0.61623800894780101, 21.476767690310169]
        Function value:   21393.271966446762
        Iterations:       4
        Function calls:   10
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.616238008947801,  21.476767690310169])              
  fk: 21393.271966446762  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477] fk: 21393.2719664       

        Parameter values: [0.61623802747712431, 21.476781564693002]
        Function value:   21393.271966446391
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.616238027477124,  21.476781564693002])              
  fk: 21393.271966446391  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477] fk: 21393.2719664       

        Parameter values: [0.61623802747712642, 21.476781564693628]
        Function value:   21393.271966446388
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  0.616238027477126,  21.476781564693628])              
  fk: 21393.271966446388  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477] fk: 21393.2719664       

        Parameter values: [0.61623802747713008, 21.476781564694729]
        Function value:   21393.271966446388
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.61623802747713008, 21.476781564694729]
Function value:   21393.271966446388
Iterations:       7
Function calls:   24
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (21393.2719664 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 8044.5851101603221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 8044.58511016       

        Parameter values: [0.48322128068821035, 7.7817451671770126]
        Function value:   7206.6181083119145
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.48322128068821 ,  7.781745167177013])                
  fk: 7706.6181083119145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817] fk: 7706.61810831       

        Parameter values: [0.48322129632182231, 7.7817470435072504]
        Function value:   7706.6181083118845
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.483221296321822,  7.78174704350725 ])                
  fk: 7706.6181083118845  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817] fk: 7706.61810831       

        Parameter values: [0.48322129632182292, 7.7817470435074787]
        Function value:   7706.6181083118836
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.483221296321823,  7.781747043507479])                
  fk: 7706.6181083118836  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817] fk: 7706.61810831       

        Parameter values: [0.48322129632182287, 7.7817470435074831]
        Function value:   7706.6181083118818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ 0.483221296321823,  7.781747043507483])                
  fk: 7706.6181083118818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817] fk: 7706.61810831       

        Parameter values: [0.48322129632182287, 7.781747043507484]
        Function value:   7706.6181083118818
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48322129632182287, 7.781747043507484]
Function value:   7706.6181083118818
Iterations:       8
Function calls:   23
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (7706.61810831 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 8036.7257655587882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 8036.72576556       

        Parameter values: [0.58585656862695912, 10.329840564804361]
        Function value:   7088.1929072346184
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.585856568626959,  10.329840564804361])              
  fk: 7588.1929072346184  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33] fk: 7588.19290723       

        Parameter values: [0.58585673109068892, 10.329907175708994]
        Function value:   7588.1929072198245
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.585856731090689,  10.329907175708994])              
  fk: 7588.1929072198245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33] fk: 7588.19290722       

        Parameter values: [0.58585673109232317, 10.329907175896759]
        Function value:   7588.1929072198191
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  0.585856731092323,  10.329907175896759])              
  fk: 7588.1929072198191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33] fk: 7588.19290722       

        Parameter values: [0.58585673109232317, 10.329907175896764]
        Function value:   7588.1929072198191
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58585673109232317, 10.329907175896764]
Function value:   7588.1929072198191
Iterations:       8
Function calls:   20
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (7588.19290722 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.9              ,  50.000000000000007])              
  fk: 10605.966500561553  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,          50] fk: 10605.9665006       

        Parameter values: [0.80205678820758153, 24.894413461842213]
        Function value:   10316.117069524049
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.802056788207582,  24.894413461842213])              
  fk: 10316.117069524049  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894] fk: 10316.1170695       

        Parameter values: [0.80205678821303095, 24.894413468147317]
        Function value:   10316.117069524047
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.802056788213031,  24.894413468147317])              
  fk: 10316.117069524047  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894] fk: 10316.1170695       

        Parameter values: [0.80205678821303095, 24.89441346814732]
        Function value:   10316.117069524047
        Iterations:       1
        Function calls:   31
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80205678821303095, 24.89441346814732]
Function value:   10316.117069524047
Iterations:       7
Function calls:   52
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10316.1170695 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 11421.658300851494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 11421.6583009       

        Parameter values: [0.4302932898464828, 4.3899065433642388]
        Function value:   10679.189136494915
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.430293289846483,  4.389906543364239])                
  fk: 11179.189136494915  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899] fk: 11179.1891365       

        Parameter values: [0.43029329610141137, 4.3899074994776237]
        Function value:   11179.189136494906
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.430293296101411,  4.389907499477624])                
  fk: 11179.189136494906  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899] fk: 11179.1891365       

        Parameter values: [0.43029329610141154, 4.3899074994776486]
        Function value:   11179.189136494906
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43029329610141154, 4.3899074994776486]
Function value:   11179.189136494906
Iterations:       6
Function calls:   16
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11179.1891365 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 3030.0863375220893  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 3030.08633752       

        Parameter values: [0.60850763292640919, 7.9681087964930324]
        Function value:   2445.7285051197459
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.608507632926409,  7.968108796493032])                
  fk: 2945.7285051197459  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60851,      7.9681] fk: 2945.72850512       

        Parameter values: [0.60850763292640919, 7.9681087964930635]
        Function value:   2945.7285051197459
        Iterations:       1
        Function calls:   19
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.608507632926409,  7.968108796493063])                
  fk: 2945.7285051197459  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60851,      7.9681] fk: 2945.72850512       

        Parameter values: [0.60850763292641008, 7.9681087964935591]
        Function value:   2945.7285051197459
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60850763292641008, 7.9681087964935591]
Function value:   2945.7285051197459
Iterations:       7
Function calls:   45
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (2945.72850512 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114])            
  fk: 8799.1947964824103  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500] fk: 8799.19479648       

        Parameter values: [-5.421124784837114e-05, 9191.6631094419299]
        Function value:   21.817605014871344
        Iterations:       13
        Function calls:   34
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([ -5.421124784837114e-05,   9.191663109441930e+03])      
  fk: 21.81745807190168   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -5.4211e-05,      9191.7] fk: 21.8180458438       

        Parameter values: [-1.6961321267248497e-07, 9190.8445188094483]
        Function value:   21.817752940734916
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ -1.696132126724850e-07,   9.190844518809448e+03])      
  fk: 21.817752018363663  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.6961e-07,      9190.8] fk: 21.8177529494       

        Parameter values: [-2.4978522554561035e-10, 9190.8419224224945]
        Function value:   21.817752943620341
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -2.497852255456103e-10,   9.190841922422494e+03])      
  fk: 21.817752942257737  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.4979e-10,      9190.8] fk: 21.8177529436       

        Parameter values: [-1.8171608121967676e-13, 9190.8419186030933]
        Function value:   21.817752943620217
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -1.817160812196768e-13,   9.190841918603093e+03])      
  fk: 21.817752943619226  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.8172e-13,      9190.8] fk: 21.8177529436       

        Parameter values: [-1.817159079844155e-13, 9190.8419186030933]
        Function value:   21.817752943620217
        Iterations:       1
        Function calls:   23
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-1.817159079844155e-13, 9190.8419186030933]
Function value:   21.817752943619226
Iterations:       18
Function calls:   71
Gradient calls:   23
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (21.8177529436 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 2785.8942213662008  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 2785.89422137       

        Parameter values: [0.37538894232277531, 2.3471285262666695]
        Function value:   2136.9500149212363
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.375388942322775,  2.347128526266669])                
  fk: 2636.9500149212363  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37539,      2.3471] fk: 2636.95001492       

        Parameter values: [0.37538894232729908, 2.3471285263999357]
        Function value:   2636.9500149212363
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.375388942327299,  2.347128526399936])                
  fk: 2636.9500149212363  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37539,      2.3471] fk: 2636.95001492       

        Parameter values: [0.37538894234426323, 2.3471285268996849]
        Function value:   2636.9500149212363
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.37538894234426323, 2.3471285268996849]
Function value:   2636.9500149212363
Iterations:       6
Function calls:   21
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2636.95001492 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 12396.229978120295  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 12396.2299781       

        Parameter values: [0.60936731752276985, 15.707705271472062]
        Function value:   11556.345837274597
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.60936731752277 ,  15.707705271472062])              
  fk: 12056.345837274597  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60937,      15.708] fk: 12056.3458373       

        Parameter values: [0.60936731753808526, 15.707705280762488]
        Function value:   12056.345837274595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.609367317538085,  15.707705280762488])              
  fk: 12056.345837274595  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60937,      15.708] fk: 12056.3458373       

        Parameter values: [0.60936731753808504, 15.707705280762488]
        Function value:   12056.345837274595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60936731753808504, 15.707705280762488]
Function value:   12056.345837274595
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12056.3458373 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 16397.160174027202  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 16397.160174        

        Parameter values: [0.42539765752362974, 6.8669971207587794]
        Function value:   15298.94710239738
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.42539765752363 ,  6.866997120758779])                
  fk: 15798.94710239738   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,       6.867] fk: 15798.9471024       

        Parameter values: [0.42539765752363862, 6.8669971207634228]
        Function value:   15798.94710239738
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.425397657523639,  6.866997120763423])                
  fk: 15798.94710239738   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,       6.867] fk: 15798.9471024       

        Parameter values: [0.42539765752363862, 6.8669971207634219]
        Function value:   15798.94710239738
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42539765752363862, 6.8669971207634219]
Function value:   15798.94710239738
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (15798.9471024 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 13131.70464441924   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 13131.7046444       

        Parameter values: [0.52250659591319981, 11.120327652290401]
        Function value:   12232.447479111999
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.5225065959132  ,  11.120327652290401])              
  fk: 12732.447479111999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12] fk: 12732.4474791       

        Parameter values: [0.52250659591413517, 11.120327662765655]
        Function value:   12732.447479111999
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.522506595914135,  11.120327662765655])              
  fk: 12732.447479111999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12] fk: 12732.4474791       

        Parameter values: [0.52250659591483684, 11.120327670622098]
        Function value:   12732.447479111994
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  0.522506595914837,  11.120327670622098])              
  fk: 12732.447479111994  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12] fk: 12732.4474791       

        Parameter values: [0.5225065959148405, 11.120327670663016]
        Function value:   12732.447479111994
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5225065959148405, 11.120327670663016]
Function value:   12732.447479111994
Iterations:       8
Function calls:   29
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (12732.4474791 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 4649.4365893184213  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 4649.43658932       

        Parameter values: [0.42190398580046085, 5.0995051296282634]
        Function value:   3831.6998178869844
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.421903985800461,  5.099505129628263])                
  fk: 4331.6998178869844  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4219,      5.0995] fk: 4331.69981789       

        Parameter values: [0.42190401221073603, 5.0995068076917347]
        Function value:   4331.6998178869126
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.421904012210736,  5.099506807691735])                
  fk: 4331.6998178869126  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4219,      5.0995] fk: 4331.69981789       

        Parameter values: [0.42190401221073603, 5.0995068076917445]
        Function value:   4331.6998178869126
        Iterations:       1
        Function calls:   8
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42190401221073603, 5.0995068076917445]
Function value:   4331.6998178869126
Iterations:       6
Function calls:   20
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4331.69981789 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 10685.89559493526   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 10685.8955949       

        Parameter values: [0.53034406465591777, 7.4461257477091527]
        Function value:   9865.9275956221663
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.530344064655918,  7.446125747709153])                
  fk: 10365.927595622166  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461] fk: 10365.9275956       

        Parameter values: [0.5303440646559181, 7.446125747709277]
        Function value:   10365.927595622166
        Iterations:       1
        Function calls:   11
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.530344064655918,  7.446125747709277])                
  fk: 10365.927595622166  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461] fk: 10365.9275956       

        Parameter values: [0.53034406465592732, 7.4461257477132481]
        Function value:   10365.927595622166
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53034406465592732, 7.4461257477132481]
Function value:   10365.927595622166
Iterations:       7
Function calls:   28
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10365.9275956 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 5192.4133261059078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 5192.41332611       

        Parameter values: [0.60219805085778422, 8.4200372172426832]
        Function value:   4507.4144387611859
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.602198050857784,  8.420037217242683])                
  fk: 5007.4144387611859  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6022,        8.42] fk: 5007.41443876       

        Parameter values: [0.60219805355235489, 8.4200385501812924]
        Function value:   5007.4144387611823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.602198053552355,  8.420038550181292])                
  fk: 5007.4144387611823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6022,        8.42] fk: 5007.41443876       

        Parameter values: [0.60219805355235567, 8.4200385501813582]
        Function value:   5007.4144387611823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60219805355235567, 8.4200385501813582]
Function value:   5007.4144387611823
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5007.41443876 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 44841.325604612859  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 44841.3256046       

        Parameter values: [0.45072695080601138, 11.342453549058497]
        Function value:   42036.626706732233
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.450726950806011,  11.342453549058497])              
  fk: 42536.626706732233  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45073,      11.342] fk: 42536.6267067       

        Parameter values: [0.45072695080785863, 11.342453550211969]
        Function value:   42536.626706732233
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.450726950807859,  11.342453550211969])              
  fk: 42536.626706732233  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45073,      11.342] fk: 42536.6267067       

        Parameter values: [0.45072695080785868, 11.342453550211962]
        Function value:   42536.626706732233
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45072695080785868, 11.342453550211962]
Function value:   42536.626706732233
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (42536.6267067 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 36148.358718026713  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 36148.358718        

        Parameter values: [0.46191908903398432, 12.136315758532739]
        Function value:   33834.484485651745
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.461919089033984,  12.136315758532739])              
  fk: 34334.484485651745  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46192,      12.136] fk: 34334.4844857       

        Parameter values: [0.46191908903522971, 12.1363157592421]
        Function value:   34334.484485651737
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.46191908903523,  12.1363157592421 ])                
  fk: 34334.484485651737  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46192,      12.136] fk: 34334.4844857       

        Parameter values: [0.46191908903554108, 12.136315759419439]
        Function value:   34334.484485651737
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46191908903554108, 12.136315759419439]
Function value:   34334.484485651737
Iterations:       7
Function calls:   20
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (34334.4844857 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7,  0. ])                                            
  fk: 24069.884505342128  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,           0] fk: 24069.8845053       

        Parameter values: [0.68460019386918991, 18.32665651277372]
        Function value:   22881.798780584762
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.68460019386919,  18.32665651277372])                
  fk: 23381.798780584762  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6846,      18.327] fk: 23381.7987806       

        Parameter values: [0.68460021682825489, 18.326672511983315]
        Function value:   23381.798780584344
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.684600216828255,  18.326672511983315])              
  fk: 23381.798780584344  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6846,      18.327] fk: 23381.7987806       

        Parameter values: [0.68460021682825511, 18.326672511983368]
        Function value:   23381.798780584344
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.68460021682825511, 18.326672511983368]
Function value:   23381.798780584344
Iterations:       7
Function calls:   24
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (23381.7987806 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 7439.6317790309622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 7439.63177903       

        Parameter values: [0.47878789730441207, 3.6748483021175118]
        Function value:   6784.7841358599208
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.478787897304412,  3.674848302117512])                
  fk: 7284.7841358599208  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748] fk: 7284.78413586       

        Parameter values: [0.47878789819086681, 3.6748483479254976]
        Function value:   7284.7841358599171
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.478787898190867,  3.674848347925498])                
  fk: 7284.7841358599171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748] fk: 7284.78413586       

        Parameter values: [0.47878789819086681, 3.6748483479254981]
        Function value:   7284.7841358599171
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47878789819086681, 3.6748483479254981]
Function value:   7284.7841358599171
Iterations:       6
Function calls:   16
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7284.78413586 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 16299.20115909464   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 16299.2011591       

        Parameter values: [0.38290155516366248, 4.0931203223917612]
        Function value:   15207.156860909245
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.382901555163662,  4.093120322391761])                
  fk: 15707.156860909245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.3829,      4.0931] fk: 15707.1568609       

        Parameter values: [0.38290155683729565, 4.0931208310808378]
        Function value:   15707.156860909234
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.382901556837296,  4.093120831080838])                
  fk: 15707.156860909234  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.3829,      4.0931] fk: 15707.1568609       

        Parameter values: [0.38290155683729571, 4.0931208310808458]
        Function value:   15707.156860909234
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38290155683729571, 4.0931208310808458]
Function value:   15707.156860909234
Iterations:       6
Function calls:   16
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (15707.1568609 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 42960.274055280024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 42960.2740553       

        Parameter values: [0.41776544199124888, 10.690640470157081]
        Function value:   41081.985351593219
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.417765441991249,  10.690640470157081])              
  fk: 41581.985351593219  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41777,      10.691] fk: 41581.9853516       

        Parameter values: [0.41776544199160054, 10.690640470449011]
        Function value:   41581.985351593212
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.417765441991601,  10.690640470449011])              
  fk: 41581.985351593212  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41777,      10.691] fk: 41581.9853516       

        Parameter values: [0.41776544199168847, 10.690640470521995]
        Function value:   41581.985351593212
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.41776544199168847, 10.690640470521995]
Function value:   41581.985351593212
Iterations:       7
Function calls:   20
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (41581.9853516 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   5.000000000000001e+02])      
  fk: 40740.731664440107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         500] fk: 40740.7316644       

        Parameter values: [0.18043795029725521, 1750.0879597729459]
        Function value:   1614.8067736965763
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  1.804379502972552e-01,   1.750087959772946e+03])      
  fk: 1614.8067736965763  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1] fk: 1614.8067737        

        Parameter values: [0.18043795029718526, 1750.0879597742746]
        Function value:   1614.8067736965747
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  1.804379502971853e-01,   1.750087959774275e+03])      
  fk: 1614.8067736965747  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1] fk: 1614.8067737        

        Parameter values: [0.18043795029711523, 1750.0879597756032]
        Function value:   1614.8067736965725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.804379502971152e-01,   1.750087959775603e+03])      
  fk: 1614.8067736965725  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1] fk: 1614.8067737        

        Parameter values: [0.18043795029711523, 1750.0879597756036]
        Function value:   1614.8067736965718
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.804379502971152e-01,   1.750087959775604e+03])      
  fk: 1614.8067736965718  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1] fk: 1614.8067737        

        Parameter values: [0.18043795029711523, 1750.0879597756036]
        Function value:   1614.8067736965718
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.18043795029711523, 1750.0879597756036]
Function value:   1614.8067736965718
Iterations:       10
Function calls:   32
Gradient calls:   15
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (1614.8067737 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 2078.421494703497   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 2078.4214947        

        Parameter values: [0.43804069180173477, 3.6483704355870108]
        Function value:   1491.6391308969587
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.438040691801735,  3.648370435587011])                
  fk: 1991.6391308969587  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,      3.6484] fk: 1991.6391309        

        Parameter values: [0.43804070234169695, 3.648370882479977]
        Function value:   1991.6391308969551
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.438040702341697,  3.648370882479977])                
  fk: 1991.6391308969551  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,      3.6484] fk: 1991.6391309        

        Parameter values: [0.43804070234169695, 3.648370882479981]
        Function value:   1991.6391308969551
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43804070234169695, 3.648370882479981]
Function value:   1991.6391308969551
Iterations:       6
Function calls:   18
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (1991.6391309 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 7079.3195445170923  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 7079.31954452       

        Parameter values: [0.42521867552069209, 4.8934387907284798]
        Function value:   6410.6379808898309
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.425218675520692,  4.89343879072848 ])                
  fk: 6910.6379808898309  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934] fk: 6910.63798089       

        Parameter values: [0.42521868741395391, 4.8934407114128309]
        Function value:   6910.6379808898073
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.425218687413954,  4.893440711412831])                
  fk: 6910.6379808898073  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934] fk: 6910.63798089       

        Parameter values: [0.42521868741395435, 4.893440711413052]
        Function value:   6910.6379808898073
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42521868741395435, 4.893440711413052]
Function value:   6910.6379808898073
Iterations:       6
Function calls:   15
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (6910.63798089 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 8072.3118890496171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 8072.31188905       

        Parameter values: [0.44341813176538758, 5.3073119814765679]
        Function value:   7297.5431326961298
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.443418131765388,  5.307311981476568])                
  fk: 7797.5431326961298  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073] fk: 7797.5431327        

        Parameter values: [0.44341815108725907, 5.3073144877705278]
        Function value:   7797.5431326960825
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.443418151087259,  5.307314487770528])                
  fk: 7797.5431326960825  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073] fk: 7797.5431327        

        Parameter values: [0.44341815108726002, 5.3073144877709515]
        Function value:   7797.5431326960806
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.44341815108726 ,  5.307314487770951])                
  fk: 7797.5431326960806  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073] fk: 7797.5431327        

        Parameter values: [0.44341815108726002, 5.3073144877709515]
        Function value:   7797.5431326960806
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44341815108726002, 5.3073144877709515]
Function value:   7797.5431326960806
Iterations:       7
Function calls:   19
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (7797.5431327 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,  500.000000000000114])            
  fk: 14357.953103967617  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         500] fk: 14357.953104        

        Parameter values: [0.24484057680976737, 2144.0941528837702]
        Function value:   725.01673419643225
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  2.448405768097674e-01,   2.144094152883770e+03])      
  fk: 725.01673419643225  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.24484,      2144.1] fk: 725.016734196       

        Parameter values: [0.24484072304001966, 2144.1066818107024]
        Function value:   725.01673404000769
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  2.448407230400197e-01,   2.144106681810702e+03])      
  fk: 725.01673404000769  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.24484,      2144.1] fk: 725.01673404        

        Parameter values: [0.24484072304001966, 2144.1066818107024]
        Function value:   725.01673404000769
        Iterations:       1
        Function calls:   24
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.24484072304001966, 2144.1066818107024]
Function value:   725.01673404000769
Iterations:       7
Function calls:   38
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (725.01673404 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 1940.1941336102423  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 1940.19413361       

        Parameter values: [0.5433681455713022, 9.6423767736757142]
        Function value:   1293.4497648745116
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.543368145571302,  9.642376773675714])                
  fk: 1793.4497648745116  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6424] fk: 1793.44976487       

        Parameter values: [0.54336850150587679, 9.642508007398364]
        Function value:   1793.4497648555728
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.543368501505877,  9.642508007398364])                
  fk: 1793.4497648555728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425] fk: 1793.44976486       

        Parameter values: [0.54336850150784322, 9.6425080076014567]
        Function value:   1793.4497648555728
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54336850150784322, 9.6425080076014567]
Function value:   1793.4497648555728
Iterations:       7
Function calls:   19
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1793.44976486 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 5970.1619642240858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 5970.16196422       

        Parameter values: [0.42960458923457717, 4.9788429618837586]
        Function value:   5072.2228614523156
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.429604589234577,  4.978842961883759])                
  fk: 5572.2228614523156  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4296,      4.9788] fk: 5572.22286145       

        Parameter values: [0.42960458923458933, 4.9788429618883399]
        Function value:   5572.2228614523156
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.429604589234589,  4.97884296188834 ])                
  fk: 5572.2228614523156  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4296,      4.9788] fk: 5572.22286145       

        Parameter values: [0.42960458923458933, 4.9788429618883381]
        Function value:   5572.2228614523156
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42960458923458933, 4.9788429618883381]
Function value:   5572.2228614523156
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5572.22286145 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 3290.9784875968999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 3290.9784876        

        Parameter values: [0.47853534776443707, 8.3096211777866849]
        Function value:   2412.164492831625
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([ 0.478535347764437,  8.309621177786685])                
  fk: 2912.164492831625   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47854,      8.3096] fk: 2912.16449283       

        Parameter values: [0.47853534776443724, 8.3096211777866991]
        Function value:   2912.164492831625
        Iterations:       1
        Function calls:   19
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.478535347764437,  8.309621177786699])                
  fk: 2912.164492831625   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47854,      8.3096] fk: 2912.16449283       

        Parameter values: [0.47853534776443757, 8.3096211777867257]
        Function value:   2912.164492831625
        Iterations:       1
        Function calls:   18
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47853534776443757, 8.3096211777867257]
Function value:   2912.164492831625
Iterations:       8
Function calls:   50
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (2912.16449283 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 6933.868194982876   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 6933.86819498       

        Parameter values: [0.55122780620906198, 19.174192302524609]
        Function value:   6064.0722377916809
        Iterations:       5
        Function calls:   14
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.551227806209062,  19.174192302524609])              
  fk: 6064.0722377916809  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55123,      19.174] fk: 6064.07223779       

        Parameter values: [0.55122780630744972, 19.174192319060655]
        Function value:   6064.0722377916809
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.55122780630744972, 19.174192319060655]
Function value:   6064.0722377916809
Iterations:       6
Function calls:   18
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (6064.07223779 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 12331.48888232685   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 12331.4888823       

        Parameter values: [0.49143861101226061, 11.851458267216794]
        Function value:   11327.543960791627
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.491438611012261,  11.851458267216794])              
  fk: 11827.543960791627  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851] fk: 11827.5439608       

        Parameter values: [0.49143862716906039, 11.851462566904893]
        Function value:   11827.543960791563
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.49143862716906 ,  11.851462566904893])              
  fk: 11827.543960791563  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851] fk: 11827.5439608       

        Parameter values: [0.49143862716906039, 11.851462566904898]
        Function value:   11827.543960791563
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.49143862716906039, 11.851462566904898]
Function value:   11827.543960791563
Iterations:       6
Function calls:   22
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (11827.5439608 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 12954.017663935163  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 12954.0176639       

        Parameter values: [0.56775062542513421, 15.411664530918666]
        Function value:   11877.914634739738
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.567750625425134,  15.411664530918666])              
  fk: 12377.914634739738  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412] fk: 12377.9146347       

        Parameter values: [0.56775062569739454, 15.411664683095058]
        Function value:   12377.914634739735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.567750625697395,  15.411664683095058])              
  fk: 12377.914634739735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412] fk: 12377.9146347       

        Parameter values: [0.56775062569739454, 15.411664683095063]
        Function value:   12377.914634739735
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56775062569739454, 15.411664683095063]
Function value:   12377.914634739735
Iterations:       7
Function calls:   19
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12377.9146347 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 7816.8703095363035  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 7816.87030954       

        Parameter values: [0.59619551689534189, 7.9369535595405498]
        Function value:   7150.2699625339783
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.596195516895342,  7.93695355954055 ])                
  fk: 7650.2699625339783  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5962,       7.937] fk: 7650.26996253       

        Parameter values: [0.59619551689564343, 7.9369535597176846]
        Function value:   7650.2699625339774
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.596195516895643,  7.936953559717685])                
  fk: 7650.2699625339774  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5962,       7.937] fk: 7650.26996253       

        Parameter values: [0.59619551689565753, 7.9369535597259873]
        Function value:   7650.2699625339774
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59619551689565753, 7.9369535597259873]
Function value:   7650.2699625339774
Iterations:       7
Function calls:   25
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7650.26996253 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 9714.3118966004258  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 9714.3118966        

        Parameter values: [0.47473970847850661, 5.1371095723614753]
        Function value:   9036.1895658193735
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.474739708478507,  5.137109572361475])                
  fk: 9536.1895658193735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371] fk: 9536.18956582       

        Parameter values: [0.47473971712283336, 5.1371107024029952]
        Function value:   9536.1895658193607
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.474739717122833,  5.137110702402995])                
  fk: 9536.1895658193607  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371] fk: 9536.18956582       

        Parameter values: [0.47473971712283358, 5.1371107024030822]
        Function value:   9536.1895658193607
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47473971712283358, 5.1371107024030822]
Function value:   9536.1895658193607
Iterations:       6
Function calls:   15
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9536.18956582 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 10531.244816919614  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 10531.2448169       

        Parameter values: [0.58841806833738786, 15.597683766962746]
        Function value:   9702.4914581252469
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.588418068337388,  15.597683766962746])              
  fk: 10202.491458125247  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58842,      15.598] fk: 10202.4914581       

        Parameter values: [0.58841806834387222, 15.597683770765434]
        Function value:   10202.491458125247
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.588418068343872,  15.597683770765434])              
  fk: 10202.491458125247  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58842,      15.598] fk: 10202.4914581       

        Parameter values: [0.58841806834387222, 15.597683770765428]
        Function value:   10202.491458125247
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58841806834387222, 15.597683770765428]
Function value:   10202.491458125247
Iterations:       7
Function calls:   18
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10202.4914581 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 19949.210139845221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 19949.2101398       

        Parameter values: [0.45237715404217932, 7.0930139468239402]
        Function value:   18522.62767073455
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.452377154042179,  7.09301394682394 ])                
  fk: 19022.62767073455   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45238,       7.093] fk: 19022.6276707       

        Parameter values: [0.45237715404218881, 7.093013946828628]
        Function value:   19022.62767073455
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.452377154042189,  7.093013946828628])                
  fk: 19022.62767073455   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45238,       7.093] fk: 19022.6276707       

        Parameter values: [0.45237715404218881, 7.0930139468286342]
        Function value:   19022.62767073455
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45237715404218881, 7.0930139468286342]
Function value:   19022.62767073455
Iterations:       7
Function calls:   17
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19022.6276707 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 23392.735908891522  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 23392.7359089       

        Parameter values: [0.54934674519652527, 9.490393571758224]
        Function value:   22135.490818631664
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.549346745196525,  9.490393571758224])                
  fk: 22635.490818631664  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54935,      9.4904] fk: 22635.4908186       

        Parameter values: [0.54934677760934381, 9.4903986318481639]
        Function value:   22635.490818631468
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.549346777609344,  9.490398631848164])                
  fk: 22635.490818631468  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54935,      9.4904] fk: 22635.4908186       

        Parameter values: [0.54934677760934425, 9.4903986318483344]
        Function value:   22635.490818631468
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54934677760934425, 9.4903986318483344]
Function value:   22635.490818631468
Iterations:       6
Function calls:   18
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (22635.4908186 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114])            
  fk: 10393.752051839701  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500] fk: 10393.7520518       

        Parameter values: [0.28476050486734156, 3077.1691217334596]
        Function value:   396.98113036185015
        Iterations:       11
        Function calls:   28
        Gradient calls:   12
        Hessian calls:    11
        Warning:          None


k: 1       xk: array([  2.847605048673416e-01,   3.077169121733460e+03])      
  fk: 396.98113036185015  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2] fk: 396.981130362       

        Parameter values: [0.28476050452485602, 3077.1691404779126]
        Function value:   396.98113036184918
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  2.847605045248560e-01,   3.077169140477913e+03])      
  fk: 396.98113036184918  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2] fk: 396.981130362       

        Parameter values: [0.28476050449843376, 3077.1691419240192]
        Function value:   396.98113036184827
        Iterations:       3
        Function calls:   41
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 3       xk: array([  2.847605044984338e-01,   3.077169141924019e+03])      
  fk: 396.98113036184827  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2] fk: 396.981130362       

        Parameter values: [0.28476050449843376, 3077.1691419240192]
        Function value:   396.98113036184827
        Iterations:       1
        Function calls:   30
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.28476050449843376, 3077.1691419240192]
Function value:   396.98113036184827
Iterations:       16
Function calls:   103
Gradient calls:   20
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (396.981130362 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 18717.799326536191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 18717.7993265       

        Parameter values: [0.4778285243721655, 9.1479243397975356]
        Function value:   17504.117239155461
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.477828524372165,  9.147924339797536])                
  fk: 18004.117239155461  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1479] fk: 18004.1172392       

        Parameter values: [0.47782852457242242, 9.1479243344304031]
        Function value:   18004.117239155454
        Iterations:       3
        Function calls:   21
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([ 0.477828524572422,  9.147924334430403])                
  fk: 18004.117239155454  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1479] fk: 18004.1172392       

        Parameter values: [0.47782852457242908, 9.1479243344302237]
        Function value:   18004.117239155454
        Iterations:       1
        Function calls:   20
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47782852457242908, 9.1479243344302237]
Function value:   18004.117239155454
Iterations:       8
Function calls:   50
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18004.1172392 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 30920.456720713282  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 30920.4567207       

        Parameter values: [0.44835918742477099, 5.8358197696620584]
        Function value:   29160.810804613495
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.448359187424771,  5.835819769662058])                
  fk: 29660.810804613495  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8358] fk: 29660.8108046       

        Parameter values: [0.44835918742477265, 5.8358197696628]
        Function value:   29660.810804613491
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.448359187424773,  5.8358197696628  ])                
  fk: 29660.810804613491  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8358] fk: 29660.8108046       

        Parameter values: [0.44835918742477265, 5.8358197696628009]
        Function value:   29660.810804613491
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44835918742477265, 5.8358197696628009]
Function value:   29660.810804613491
Iterations:       7
Function calls:   19
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (29660.8108046 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 11700.145573857024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 11700.1455739       

        Parameter values: [0.46832941874574335, 9.5189332161530071]
        Function value:   10574.800953087128
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.468329418745743,  9.518933216153007])                
  fk: 11074.800953087128  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189] fk: 11074.8009531       

        Parameter values: [0.46832941874580569, 9.5189332161782847]
        Function value:   11074.800953087128
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.468329418745806,  9.518933216178285])                
  fk: 11074.800953087128  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189] fk: 11074.8009531       

        Parameter values: [0.46832941874599265, 9.5189332162541174]
        Function value:   11074.800953087126
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ 0.468329418745993,  9.518933216254117])                
  fk: 11074.800953087126  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189] fk: 11074.8009531       

        Parameter values: [0.46832941874599265, 9.5189332162541174]
        Function value:   11074.800953087126
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46832941874599265, 9.5189332162541174]
Function value:   11074.800953087126
Iterations:       8
Function calls:   26
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11074.8009531 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 12911.73347334042   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 12911.7334733       

        Parameter values: [0.59429634073274684, 25.677803490690241]
        Function value:   12171.669900161587
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.594296340732747,  25.677803490690241])              
  fk: 12171.669900161587  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5943,      25.678] fk: 12171.6699002       

        Parameter values: [0.59429634073276172, 25.677803490682575]
        Function value:   12171.669900161587
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59429634073276172, 25.677803490682575]
Function value:   12171.669900161587
Iterations:       6
Function calls:   16
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (12171.6699002 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 20313.628539618145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 20313.6285396       

        Parameter values: [0.48064429897002747, 4.5610428769960292]
        Function value:   19499.431951264825
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.480644298970027,  4.561042876996029])                
  fk: 19999.431951264825  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,       4.561] fk: 19999.4319513       

        Parameter values: [0.48064430355823684, 4.561043333332421]
        Function value:   19999.431951264818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.480644303558237,  4.561043333332421])                
  fk: 19999.431951264818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,       4.561] fk: 19999.4319513       

        Parameter values: [0.48064430355823695, 4.5610433333324307]
        Function value:   19999.431951264818
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48064430355823695, 4.5610433333324307]
Function value:   19999.431951264818
Iterations:       6
Function calls:   16
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (19999.4319513 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   5.000000000000001e+02])      
  fk: 31124.187042564765  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         500] fk: 31124.1870426       

        Parameter values: [0.19671575607659547, 1992.8874900153312]
        Function value:   973.13401470638564
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  1.967157560765955e-01,   1.992887490015331e+03])      
  fk: 973.13401470638564  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9] fk: 973.134014706       

        Parameter values: [0.19671571893888803, 1992.8894297320546]
        Function value:   973.13401469624694
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  1.967157189388880e-01,   1.992889429732055e+03])      
  fk: 973.13401469624694  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9] fk: 973.134014696       

        Parameter values: [0.19671571893888434, 1992.8894297322468]
        Function value:   973.13401469624682
        Iterations:       1
        Function calls:   8
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.967157189388843e-01,   1.992889429732247e+03])      
  fk: 973.13401469624682  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9] fk: 973.134014696       

        Parameter values: [0.19671571893887721, 1992.8894297326187]
        Function value:   973.13401469624682
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.19671571893887721, 1992.8894297326187]
Function value:   973.13401469624682
Iterations:       9
Function calls:   31
Gradient calls:   13
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (973.134014696 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007])              
  fk: 20166.89052379959   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50] fk: 20166.8905238       

        Parameter values: [0.64802207850591875, 22.497040162497111]
        Function value:   19522.743234638569
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([  0.648022078505919,  22.497040162497111])              
  fk: 19522.743234638569  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497] fk: 19522.7432346       

        Parameter values: [0.64802207903415365, 22.497040374333533]
        Function value:   19522.743234638565
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.648022079034154,  22.497040374333533])              
  fk: 19522.743234638565  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497] fk: 19522.7432346       

        Parameter values: [0.64802207903415365, 22.497040374333547]
        Function value:   19522.743234638565
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.64802207903415365, 22.497040374333547]
Function value:   19522.743234638565
Iterations:       5
Function calls:   15
Gradient calls:   8
Hessian calls:    5
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (19522.7432346 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 9093.2839991858255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 9093.28399919       

        Parameter values: [0.46578655724883927, 6.329770859305242]
        Function value:   8157.4656629868732
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.465786557248839,  6.329770859305242])                
  fk: 8657.4656629868732  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46579,      6.3298] fk: 8657.46566299       

        Parameter values: [0.46578655724889839, 6.3297708593284501]
        Function value:   8657.4656629868732
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.465786557248898,  6.32977085932845 ])                
  fk: 8657.4656629868732  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46579,      6.3298] fk: 8657.46566299       

        Parameter values: [0.46578655724889839, 6.3297708593284501]
        Function value:   8657.4656629868732
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46578655724889839, 6.3297708593284501]
Function value:   8657.4656629868732
Iterations:       7
Function calls:   21
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (8657.46566299 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 3900.8876953943559  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 3900.88769539       

        Parameter values: [0.44189755039086565, 4.7099118907426742]
        Function value:   3186.7909516708514
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.441897550390866,  4.709911890742674])                
  fk: 3686.7909516708514  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4419,      4.7099] fk: 3686.79095167       

        Parameter values: [0.44189755050060203, 4.7099119001679908]
        Function value:   3686.7909516708514
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.441897550500602,  4.709911900167991])                
  fk: 3686.7909516708514  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4419,      4.7099] fk: 3686.79095167       

        Parameter values: [0.441897550501888, 4.7099119002784438]
        Function value:   3686.7909516708514
        Iterations:       1
        Function calls:   11
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.441897550501888, 4.7099119002784438]
Function value:   3686.7909516708514
Iterations:       6
Function calls:   25
Gradient calls:   9
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3686.79095167 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   5.000000000000001e+02])      
  fk: 32446.493009778736  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         500] fk: 32446.4930098       

        Parameter values: [0.1968190024725312, 1723.2033168392225]
        Function value:   1139.9308879582823
        Iterations:       6
        Function calls:   16
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  1.968190024725312e-01,   1.723203316839222e+03])      
  fk: 1139.9308879582823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19682,      1723.2] fk: 1139.93088796       

        Parameter values: [0.19681900245645362, 1723.203319581595]
        Function value:   1139.9308879582823
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.19681900245645362, 1723.203319581595]
Function value:   1139.9308879582823
Iterations:       7
Function calls:   20
Gradient calls:   9
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (1139.93088796 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114])            
  fk: 9852.9523230335744  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500] fk: 9852.95232303       

        Parameter values: [0.27510079074574117, 2427.5668053128161]
        Function value:   696.63006461591249
        Iterations:       5
        Function calls:   14
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  2.751007907457412e-01,   2.427566805312816e+03])      
  fk: 696.63006461591249  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2751,      2427.6] fk: 696.630064616       

        Parameter values: [0.27510079085393319, 2427.5668350637848]
        Function value:   696.63006461591249
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.27510079085393319, 2427.5668350637848]
Function value:   696.63006461591249
Iterations:       6
Function calls:   17
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (696.630064616 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,  500.000000000000114])            
  fk: 16837.704688210419  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         500] fk: 16837.7046882       

        Parameter values: [0.23084212833250645, 2170.678960438664]
        Function value:   489.22260824937086
        Iterations:       7
        Function calls:   15
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  2.308421283325064e-01,   2.170678960438664e+03])      
  fk: 489.22260824937086  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534862, 2170.6795384127504]
        Function value:   489.22260824902941
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  2.308421212753486e-01,   2.170679538412750e+03])      
  fk: 489.22260824902941  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534512, 2170.6795384130346]
        Function value:   489.22260824902924
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.308421212753451e-01,   2.170679538413035e+03])      
  fk: 489.22260824902924  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534506, 2170.6795384130392]
        Function value:   489.22260824902912
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.308421212753451e-01,   2.170679538413039e+03])      
  fk: 489.22260824902912  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534462, 2170.6795384130742]
        Function value:   489.2226082490285
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  2.308421212753446e-01,   2.170679538413074e+03])      
  fk: 489.2226082490285   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534309, 2170.679538413197]
        Function value:   489.22260824902787
        Iterations:       2
        Function calls:   16
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  2.308421212753431e-01,   2.170679538413197e+03])      
  fk: 489.22260824902787  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7] fk: 489.222608249       

        Parameter values: [0.23084212127534309, 2170.679538413197]
        Function value:   489.22260824902787
        Iterations:       1
        Function calls:   13
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.23084212127534309, 2170.679538413197]
Function value:   489.22260824902787
Iterations:       14
Function calls:   66
Gradient calls:   21
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (489.222608249 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114])            
  fk: 6026.3625449029487  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500] fk: 6026.3625449        

        Parameter values: [0.34353701650584595, 2454.8168848983664]
        Function value:   562.14549836173114
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  3.435370165058459e-01,   2.454816884898366e+03])      
  fk: 562.14549836173114  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8] fk: 562.145498362       

        Parameter values: [0.34353706729127975, 2454.8214224335161]
        Function value:   562.14549835498451
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  3.435370672912798e-01,   2.454821422433516e+03])      
  fk: 562.14549835498451  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8] fk: 562.145498355       

        Parameter values: [0.34353706729170153, 2454.821422471241]
        Function value:   562.14549835498451
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.34353706729170153, 2454.821422471241]
Function value:   562.14549835498451
Iterations:       8
Function calls:   19
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (562.145498355 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,  500.000000000000114])            
  fk: 10975.476959679665  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         500] fk: 10975.4769597       

        Parameter values: [0.27750932233062808, 2016.2673794926827]
        Function value:   807.75136436914067
        Iterations:       7
        Function calls:   21
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  2.775093223306281e-01,   2.016267379492683e+03])      
  fk: 807.75136436914067  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3] fk: 807.751364369       

        Parameter values: [0.27750932417939855, 2016.2674247237239]
        Function value:   807.75136436913624
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  2.775093241793986e-01,   2.016267424723724e+03])      
  fk: 807.75136436913624  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3] fk: 807.751364369       

        Parameter values: [0.27750932417939861, 2016.2674247237251]
        Function value:   807.75136436913488
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.775093241793986e-01,   2.016267424723725e+03])      
  fk: 807.75136436913488  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3] fk: 807.751364369       

        Parameter values: [0.27750932417939861, 2016.2674247237253]
        Function value:   807.75136436913488
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.27750932417939861, 2016.2674247237253]
Function value:   807.75136436913488
Iterations:       10
Function calls:   35
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (807.751364369 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,  50.000000000000007])              
  fk: 5061.1130768476114  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,          50] fk: 5061.11307685       

        Parameter values: [0.4321579479547597, 26.758651008823641]
        Function value:   4209.426302727411
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.43215794795476 ,  26.758651008823641])              
  fk: 4209.426302727411   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      26.759] fk: 4209.42630273       

        Parameter values: [0.43215794809654451, 26.758651040067747]
        Function value:   4209.426302727411
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43215794809654451, 26.758651040067747]
Function value:   4209.426302727411
Iterations:       6
Function calls:   14
Gradient calls:   8
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (4209.42630273 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,  50.000000000000007])              
  fk: 1951.983427776664   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,          50] fk: 1951.98342778       

        Parameter values: [0.34072262894882288, 23.596545717327839]
        Function value:   1473.2567451734062
        Iterations:       6
        Function calls:   15
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  0.340722628948823,  23.596545717327839])              
  fk: 1473.2567451734062  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34072,      23.597] fk: 1473.25674517       

        Parameter values: [0.34072262897160588, 23.59654571983614]
        Function value:   1473.2567451734062
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.34072262897160588, 23.59654571983614]
Function value:   1473.2567451734062
Iterations:       7
Function calls:   21
Gradient calls:   9
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (1473.25674517 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.3              ,  50.000000000000007])              
  fk: 835.86429856616508  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3,          50] fk: 835.864298566       

        Parameter values: [0.22901380427447998, 30.097536532033914]
        Function value:   448.80642702310519
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.22901380427448 ,  30.097536532033914])              
  fk: 448.80642702310519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.098] fk: 448.806427023       

        Parameter values: [0.22901380595220036, 30.097537001583216]
        Function value:   448.80642702310416
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.2290138059522  ,  30.097537001583216])              
  fk: 448.80642702310416  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.098] fk: 448.806427023       

        Parameter values: [0.2290138059522005, 30.097537001583245]
        Function value:   448.80642702310411
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  0.2290138059522  ,  30.097537001583245])              
  fk: 448.80642702310411  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.098] fk: 448.806427023       

        Parameter values: [0.2290138059522005, 30.097537001583245]
        Function value:   448.80642702310411
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.2290138059522005, 30.097537001583245]
Function value:   448.80642702310411
Iterations:       8
Function calls:   28
Gradient calls:   12
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (448.806427023 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.2              ,  100.000000000000014])            
  fk: 3619.3698258449663  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.2,         100] fk: 3619.36982584       

        Parameter values: [0.21143408444224038, 76.320066134132048]
        Function value:   1700.92553763399
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.21143408444224 ,  76.320066134132048])              
  fk: 1700.92553763399    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,       76.32] fk: 1700.92553763       

        Parameter values: [0.21143408444225351, 76.320066134144142]
        Function value:   1700.9255376339897
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  0.211434084442254,  76.320066134144142])              
  fk: 1700.9255376339897  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,       76.32] fk: 1700.92553763       

        Parameter values: [0.21143408444225351, 76.320066134144142]
        Function value:   1700.9255376339897
        Iterations:       1
        Function calls:   20
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.21143408444225351, 76.320066134144142]
Function value:   1700.9255376339897
Iterations:       7
Function calls:   41
Gradient calls:   10
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (1700.92553763 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm2\\results.bz2' for writing.

relax> pipe.create(pipe_name='m3', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m3', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 52402.8136361       
k: 1        xk: [         0.1,           0] fk: 38975.5634183       
k: 2        xk: [         0.2,           0] fk: 29623.7474228       
k: 3        xk: [         0.3,           0] fk: 22920.3391391       
k: 4        xk: [         0.4,           0] fk: 18865.338567        
k: 5        xk: [         0.5,           0] fk: 17458.7457067       
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17458.7457067 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 67957.530941        
k: 1        xk: [         0.1,           0] fk: 54901.963067        
k: 2        xk: [         0.2,           0] fk: 45137.3814197       
k: 3        xk: [         0.3,           0] fk: 37382.4698415       
k: 4        xk: [         0.4,           0] fk: 31637.2283324       
k: 5        xk: [         0.5,           0] fk: 27901.6568925       
k: 6        xk: [         0.6,           0] fk: 26175.7555218       
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (26175.7555218 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 46589.4290117       
k: 1        xk: [         0.1,           0] fk: 33988.0111311       
k: 2        xk: [         0.2,           0] fk: 24843.9456251       
k: 3        xk: [         0.3,           0] fk: 18614.0379492       
k: 4        xk: [         0.4,           0] fk: 15298.2881032       
k: 5        xk: [         0.5,           0] fk: 14896.6960872       
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14896.6960872 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34435.2127284       
k: 1        xk: [         0.1,           0] fk: 23005.616111        
k: 2        xk: [         0.2,           0] fk: 15678.1163394       
k: 3        xk: [         0.3,           0] fk: 11189.9738566       
k: 4        xk: [         0.4,           0] fk: 9541.18866251       
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9541.18866251 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 31683.9847331       
k: 1        xk: [         0.1,           0] fk: 23514.0970791       
k: 2        xk: [         0.2,           0] fk: 18109.8764812       
k: 3        xk: [         0.3,           0] fk: 14192.8198782       
k: 4        xk: [         0.4,           0] fk: 11762.9272701       
k: 5        xk: [         0.5,           0] fk: 10820.1986569       
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10820.1986569 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 24164.5370766       
k: 1        xk: [         0.1,           0] fk: 18020.3030145       
k: 2        xk: [         0.2,           0] fk: 14225.3687247       
k: 3        xk: [         0.3,           0] fk: 11414.8705587       
k: 4        xk: [         0.4,           0] fk: 9588.80851655       
k: 5        xk: [         0.5,           0] fk: 8747.18259812       
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8747.18259812 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 11277.3525666       
k: 1        xk: [         0.1,           0] fk: 7687.02751494       
k: 2        xk: [         0.2,           0] fk: 6336.83368525       
k: 3        xk: [         0.3,           0] fk: 5328.50982932       
k: 4        xk: [         0.4,           0] fk: 4662.05594716       
k: 5        xk: [         0.5,           0] fk: 4337.47203876       
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4337.47203876 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 7097.25569836       
k: 1        xk: [         0.1,           0] fk: 4446.49286775       
k: 2        xk: [         0.2,           0] fk: 3731.97185812       
k: 3        xk: [         0.3,           0] fk: 3177.60917292       
k: 4        xk: [         0.4,           0] fk: 2783.40481212       
k: 5        xk: [         0.5,           0] fk: 2549.35877574       
k: 6        xk: [         0.6,           0] fk: 2475.47106376       
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (2475.47106376 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 15125.8852796       
k: 1        xk: [         0.1,           0] fk: 9179.68854377       
k: 2        xk: [         0.2,           0] fk: 7793.61580502       
k: 3        xk: [         0.3,           0] fk: 6738.72046287       
k: 4        xk: [         0.4,           0] fk: 6015.00251731       
k: 5        xk: [         0.5,           0] fk: 5622.46196835       
k: 6        xk: [         0.6,           0] fk: 5561.09881598       
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (5561.09881598 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 19671.2796207       
k: 1        xk: [         0.1,           0] fk: 12173.5168307       
k: 2        xk: [         0.2,           0] fk: 10539.1690187       
k: 3        xk: [         0.3,           0] fk: 9269.15275435       
k: 4        xk: [         0.4,           0] fk: 8363.46803761       
k: 5        xk: [         0.5,           0] fk: 7822.1148685        
k: 6        xk: [         0.6,           0] fk: 7645.09324701       
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (7645.09324701 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 9994.98830359       
k: 1        xk: [         0.1,           0] fk: 6281.59033399       
k: 2        xk: [         0.2,           0] fk: 5241.00997239       
k: 3        xk: [         0.3,           0] fk: 4452.03874174       
k: 4        xk: [         0.4,           0] fk: 3914.67664204       
k: 5        xk: [         0.5,           0] fk: 3628.92367331       
k: 6        xk: [         0.6,           0] fk: 3594.77983553       
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3594.77983553 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 32826.5944821       
k: 1        xk: [         0.1,           0] fk: 23209.1392938       
k: 2        xk: [         0.2,           0] fk: 16629.3783666       
k: 3        xk: [         0.3,           0] fk: 12249.8987814       
k: 4        xk: [         0.4,           0] fk: 10070.7005381       
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (10070.7005381 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 43873.4642648       
k: 1        xk: [         0.1,           0] fk: 30410.5958776       
k: 2        xk: [         0.2,           0] fk: 21359.933225        
k: 3        xk: [         0.3,           0] fk: 15515.4789918       
k: 4        xk: [         0.4,           0] fk: 12877.2331781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12877.2331781 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 13778.9159658       
k: 1        xk: [         0.1,           0] fk: 10636.9310987       
k: 2        xk: [         0.2,           0] fk: 8606.1189946        
k: 3        xk: [         0.3,           0] fk: 7057.17631137       
k: 4        xk: [         0.4,           0] fk: 5990.10304902       
k: 5        xk: [         0.5,           0] fk: 5404.89920756       
k: 6        xk: [         0.6,           0] fk: 5301.56478698       
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5301.56478698 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 16210.9940926       
k: 1        xk: [         0.1,           0] fk: 10109.8733405       
k: 2        xk: [         0.2,           0] fk: 6495.66835891       
k: 3        xk: [         0.3,           0] fk: 4390.34421079       
k: 4        xk: [         0.4,           0] fk: 3793.90089611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3793.90089611 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 60645.9605372       
k: 1        xk: [         0.1,           0] fk: 48113.1006427       
k: 2        xk: [         0.2,           0] fk: 39162.8316546       
k: 3        xk: [         0.3,           0] fk: 32132.7714874       
k: 4        xk: [         0.4,           0] fk: 27022.9201412       
k: 5        xk: [         0.5,           0] fk: 23833.2776161       
k: 6        xk: [         0.6,           0] fk: 22563.8439119       
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22563.8439119 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 27574.9417359       
k: 1        xk: [         0.1,           0] fk: 19706.888794        
k: 2        xk: [         0.2,           0] fk: 14406.6851767       
k: 3        xk: [         0.3,           0] fk: 10696.233357        
k: 4        xk: [         0.4,           0] fk: 8575.53333477       
k: 5        xk: [         0.5,           0] fk: 8044.58511016       
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8044.58511016 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23111.0357575       
k: 1        xk: [         0.1,           0] fk: 17189.7022675       
k: 2        xk: [         0.2,           0] fk: 13805.8676215       
k: 3        xk: [         0.3,           0] fk: 11198.6526482       
k: 4        xk: [         0.4,           0] fk: 9368.05734785       
k: 5        xk: [         0.5,           0] fk: 8314.08172029       
k: 6        xk: [         0.6,           0] fk: 8036.72576556       
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8036.72576556 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 31430.6075613       
k: 1        xk: [         0.1,           0] fk: 25243.6927348       
k: 2        xk: [         0.2,           0] fk: 21400.8713774       
k: 3        xk: [         0.3,           0] fk: 18146.1033112       
k: 4        xk: [         0.4,           0] fk: 15479.3885363       
k: 5        xk: [         0.5,           0] fk: 13400.7270526       
k: 6        xk: [         0.6,           0] fk: 11910.1188601       
k: 7        xk: [         0.7,           0] fk: 11007.5639589       
k: 8        xk: [         0.8,           0] fk: 10693.0623488       
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10693.0623488 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 35676.0478508       
k: 1        xk: [         0.1,           0] fk: 25362.019514        
k: 2        xk: [         0.2,           0] fk: 18138.4249451       
k: 3        xk: [         0.3,           0] fk: 13491.637874        
k: 4        xk: [         0.4,           0] fk: 11421.6583009       
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11421.6583009 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 10160.3919098       
k: 1        xk: [         0.1,           0] fk: 7639.30295369       
k: 2        xk: [         0.2,           0] fk: 6004.48976447       
k: 3        xk: [         0.3,           0] fk: 4726.16150825       
k: 4        xk: [         0.4,           0] fk: 3804.31818501       
k: 5        xk: [         0.5,           0] fk: 3238.95979477       
k: 6        xk: [         0.6,           0] fk: 3030.08633752       
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3030.08633752 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 37130.156336        
k: 1        xk: [         0.1,           0] fk: 30773.5640001       
k: 2        xk: [         0.2,           0] fk: 25903.5659598       
k: 3        xk: [         0.3,           0] fk: 21678.145292        
k: 4        xk: [         0.4,           0] fk: 18097.3019968       
k: 5        xk: [         0.5,           0] fk: 15161.036074        
k: 6        xk: [         0.6,           0] fk: 12869.3475237       
k: 7        xk: [         0.7,           0] fk: 11222.2363459       
k: 8        xk: [         0.8,           0] fk: 10219.7025407       
k: 9        xk: [         0.9,           0] fk: 9861.74610793       
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (9861.74610793 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 14378.6840735       
k: 1        xk: [         0.1,           0] fk: 8399.52791278       
k: 2        xk: [         0.2,           0] fk: 5039.32748224       
k: 3        xk: [         0.3,           0] fk: 3168.11625177       
k: 4        xk: [         0.4,           0] fk: 2785.89422137       
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2785.89422137 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33336.0067229       
k: 1        xk: [         0.1,           0] fk: 26602.9947471       
k: 2        xk: [         0.2,           0] fk: 21568.1376862       
k: 3        xk: [         0.3,           0] fk: 17630.0326789       
k: 4        xk: [         0.4,           0] fk: 14788.6797251       
k: 5        xk: [         0.5,           0] fk: 13044.0788248       
k: 6        xk: [         0.6,           0] fk: 12396.2299781       
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12396.2299781 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 74868.9214227       
k: 1        xk: [         0.1,           0] fk: 50020.2532151       
k: 2        xk: [         0.2,           0] fk: 32447.4626813       
k: 3        xk: [         0.3,           0] fk: 21239.765001        
k: 4        xk: [         0.4,           0] fk: 16397.160174        
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16397.160174 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34510.7229589       
k: 1        xk: [         0.1,           0] fk: 26627.6419607       
k: 2        xk: [         0.2,           0] fk: 20973.6543214       
k: 3        xk: [         0.3,           0] fk: 16839.668889        
k: 4        xk: [         0.4,           0] fk: 14225.6856633       
k: 5        xk: [         0.5,           0] fk: 13131.7046444       
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13131.7046444 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 20716.7146128       
k: 1        xk: [         0.1,           0] fk: 13265.0272157       
k: 2        xk: [         0.2,           0] fk: 8727.15753861       
k: 3        xk: [         0.3,           0] fk: 5855.29399648       
k: 4        xk: [         0.4,           0] fk: 4649.43658932       
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4649.43658932 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 29155.8504053       
k: 1        xk: [         0.1,           0] fk: 22103.0405896       
k: 2        xk: [         0.2,           0] fk: 17387.4636785       
k: 3        xk: [         0.3,           0] fk: 13912.7472091       
k: 4        xk: [         0.4,           0] fk: 11678.8911812       
k: 5        xk: [         0.5,           0] fk: 10685.8955949       
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10685.8955949 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 14516.4590835       
k: 1        xk: [         0.1,           0] fk: 10928.5701653       
k: 2        xk: [         0.2,           0] fk: 8870.73790487       
k: 3        xk: [         0.3,           0] fk: 7268.20609076       
k: 4        xk: [         0.4,           0] fk: 6120.97472293       
k: 5        xk: [         0.5,           0] fk: 5429.04380138       
k: 6        xk: [         0.6,           0] fk: 5192.41332611       
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.41332611 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 141984.64917        
k: 1        xk: [         0.1,           0] fk: 102496.261982       
k: 2        xk: [         0.2,           0] fk: 73757.7478526       
k: 3        xk: [         0.3,           0] fk: 54569.0870801       
k: 4        xk: [         0.4,           0] fk: 44930.2796641       
k: 5        xk: [         0.5,           0] fk: 44841.3256046       
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (44841.3256046 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 112660.585379       
k: 1        xk: [         0.1,           0] fk: 81916.0847604       
k: 2        xk: [         0.2,           0] fk: 59882.2853129       
k: 3        xk: [         0.3,           0] fk: 44909.7311567       
k: 4        xk: [         0.4,           0] fk: 36998.4222917       
k: 5        xk: [         0.5,           0] fk: 36148.358718        
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (36148.358718 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 66368.7561133       
k: 1        xk: [         0.1,           0] fk: 53755.3594536       
k: 2        xk: [         0.2,           0] fk: 44470.7985577       
k: 3        xk: [         0.3,           0] fk: 36921.030357        
k: 4        xk: [         0.4,           0] fk: 31106.0548514       
k: 5        xk: [         0.5,           0] fk: 27025.872041        
k: 6        xk: [         0.6,           0] fk: 24680.4819256       
k: 7        xk: [         0.7,           0] fk: 24069.8845053       
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24069.8845053 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 22572.9564775       
k: 1        xk: [         0.1,           0] fk: 16174.476814        
k: 2        xk: [         0.2,           0] fk: 12158.0492815       
k: 3        xk: [         0.3,           0] fk: 9363.43259809       
k: 4        xk: [         0.4,           0] fk: 7790.62676395       
k: 5        xk: [         0.5,           0] fk: 7439.63177903       
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7439.63177903 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 139373.413104       
k: 1        xk: [         0.1,           0] fk: 82588.5572885       
k: 2        xk: [         0.2,           0] fk: 43957.4912618       
k: 3        xk: [         0.3,           0] fk: 21861.0392187       
k: 4        xk: [         0.4,           0] fk: 16299.2011591       
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16299.2011591 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 188648.374744       
k: 1        xk: [         0.1,           0] fk: 126666.314793       
k: 2        xk: [         0.2,           0] fk: 82230.6553801       
k: 3        xk: [         0.3,           0] fk: 54328.641801        
k: 4        xk: [         0.4,           0] fk: 42960.2740553       
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42960.2740553 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 156060.662069       
k: 1        xk: [         0.1,           0] fk: 108659.936595       
k: 2        xk: [         0.2,           0] fk: 74627.8960497       
k: 3        xk: [         0.3,           0] fk: 53077.5437017       
k: 4        xk: [         0.4,           0] fk: 44008.8795512       
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (44008.8795512 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 6601.70019207       
k: 1        xk: [         0.1,           0] fk: 4502.19260876       
k: 2        xk: [         0.2,           0] fk: 3264.61583415       
k: 3        xk: [         0.3,           0] fk: 2456.69212947       
k: 4        xk: [         0.4,           0] fk: 2078.4214947        
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2078.4214947 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 24536.7604569       
k: 1        xk: [         0.1,           0] fk: 17039.4394883       
k: 2        xk: [         0.2,           0] fk: 11826.4296404       
k: 3        xk: [         0.3,           0] fk: 8506.38965914       
k: 4        xk: [         0.4,           0] fk: 7079.31954452       
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7079.31954452 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23919.0952585       
k: 1        xk: [         0.1,           0] fk: 17239.444227        
k: 2        xk: [         0.2,           0] fk: 12603.5436644       
k: 3        xk: [         0.3,           0] fk: 9547.83288509       
k: 4        xk: [         0.4,           0] fk: 8072.31188905       
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (8072.31188905 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 41472.5815614       
k: 1        xk: [         0.1,           0] fk: 34081.4966204       
k: 2        xk: [         0.2,           0] fk: 28412.6024817       
k: 3        xk: [         0.3,           0] fk: 23770.3636236       
k: 4        xk: [         0.4,           0] fk: 20154.7800463       
k: 5        xk: [         0.5,           0] fk: 17565.8517496       
k: 6        xk: [         0.6,           0] fk: 16003.5787336       
k: 7        xk: [         0.7,           0] fk: 15467.9609983       
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (15467.9609983 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 5334.4090188        
k: 1        xk: [         0.1,           0] fk: 3892.03407346       
k: 2        xk: [         0.2,           0] fk: 3102.91493374       
k: 3        xk: [         0.3,           0] fk: 2514.56856386       
k: 4        xk: [         0.4,           0] fk: 2126.99496381       
k: 5        xk: [         0.5,           0] fk: 1940.19413361       
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1940.19413361 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23522.8259239       
k: 1        xk: [         0.1,           0] fk: 15367.5082935       
k: 2        xk: [         0.2,           0] fk: 10493.8299966       
k: 3        xk: [         0.3,           0] fk: 7361.38122012       
k: 4        xk: [         0.4,           0] fk: 5970.16196422       
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5970.16196422 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 10757.5128385       
k: 1        xk: [         0.1,           0] fk: 7221.9681308        
k: 2        xk: [         0.2,           0] fk: 5413.67329467       
k: 3        xk: [         0.3,           0] fk: 4155.74340876       
k: 4        xk: [         0.4,           0] fk: 3448.17847307       
k: 5        xk: [         0.5,           0] fk: 3290.9784876        
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3290.9784876 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 19403.0986304       
k: 1        xk: [         0.1,           0] fk: 13922.9525304       
k: 2        xk: [         0.2,           0] fk: 11386.9562967       
k: 3        xk: [         0.3,           0] fk: 9483.83202166       
k: 4        xk: [         0.4,           0] fk: 8213.57970535       
k: 5        xk: [         0.5,           0] fk: 7576.19934775       
k: 6        xk: [         0.6,           0] fk: 7571.69094886       
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (7571.69094886 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33974.9388195       
k: 1        xk: [         0.1,           0] fk: 25528.2069218       
k: 2        xk: [         0.2,           0] fk: 19638.4747617       
k: 3        xk: [         0.3,           0] fk: 15475.7777018       
k: 4        xk: [         0.4,           0] fk: 13040.115742        
k: 5        xk: [         0.5,           0] fk: 12331.4888823       
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12331.4888823 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 34181.7067805       
k: 1        xk: [         0.1,           0] fk: 26775.7091908       
k: 2        xk: [         0.2,           0] fk: 21469.6998182       
k: 3        xk: [         0.3,           0] fk: 17434.5259793       
k: 4        xk: [         0.4,           0] fk: 14670.1876739       
k: 5        xk: [         0.5,           0] fk: 13176.6849021       
k: 6        xk: [         0.6,           0] fk: 12954.0176639       
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12954.0176639 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 21988.153738        
k: 1        xk: [         0.1,           0] fk: 17025.9462156       
k: 2        xk: [         0.2,           0] fk: 13688.7683468       
k: 3        xk: [         0.3,           0] fk: 11099.2718218       
k: 4        xk: [         0.4,           0] fk: 9257.45664058       
k: 5        xk: [         0.5,           0] fk: 8163.32280316       
k: 6        xk: [         0.6,           0] fk: 7816.87030954       
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.87030954 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 30593.5851764       
k: 1        xk: [         0.1,           0] fk: 22382.0755004       
k: 2        xk: [         0.2,           0] fk: 16496.6955823       
k: 3        xk: [         0.3,           0] fk: 12423.6083422       
k: 4        xk: [         0.4,           0] fk: 10162.8137804       
k: 5        xk: [         0.5,           0] fk: 9714.3118966        
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9714.3118966 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 28846.7259313       
k: 1        xk: [         0.1,           0] fk: 22784.4819863       
k: 2        xk: [         0.2,           0] fk: 18276.2235486       
k: 3        xk: [         0.3,           0] fk: 14796.7706129       
k: 4        xk: [         0.4,           0] fk: 12346.123179        
k: 5        xk: [         0.5,           0] fk: 10924.281247        
k: 6        xk: [         0.6,           0] fk: 10531.2448169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10531.2448169 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 70925.8752768       
k: 1        xk: [         0.1,           0] fk: 50121.3023587       
k: 2        xk: [         0.2,           0] fk: 35169.0237864       
k: 3        xk: [         0.3,           0] fk: 25156.2488925       
k: 4        xk: [         0.4,           0] fk: 20082.977677        
k: 5        xk: [         0.5,           0] fk: 19949.2101398       
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19949.2101398 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 59467.0252757       
k: 1        xk: [         0.1,           0] fk: 46541.0137297       
k: 2        xk: [         0.2,           0] fk: 37265.7829545       
k: 3        xk: [         0.3,           0] fk: 30315.9930593       
k: 4        xk: [         0.4,           0] fk: 25691.6440441       
k: 5        xk: [         0.5,           0] fk: 23392.7359089       
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23392.7359089 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 42012.5196458       
k: 1        xk: [         0.1,           0] fk: 35441.5437671       
k: 2        xk: [         0.2,           0] fk: 30787.8782669       
k: 3        xk: [         0.3,           0] fk: 26628.809577        
k: 4        xk: [         0.4,           0] fk: 22964.3376973       
k: 5        xk: [         0.5,           0] fk: 19794.462628        
k: 6        xk: [         0.6,           0] fk: 17119.1843689       
k: 7        xk: [         0.7,           0] fk: 14938.5029202       
k: 8        xk: [         0.8,           0] fk: 13252.4182817       
k: 9        xk: [         0.9,           0] fk: 12060.9304535       
k: 10       xk: [           1,           0] fk: 11364.0394357       
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 53091.4390749       
k: 1        xk: [         0.1,           0] fk: 39275.0806006       
k: 2        xk: [         0.2,           0] fk: 29794.4782661       
k: 3        xk: [         0.3,           0] fk: 23208.0639422       
k: 4        xk: [         0.4,           0] fk: 19515.837629        
k: 5        xk: [         0.5,           0] fk: 18717.7993265       
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18717.7993265 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 100711.310967       
k: 1        xk: [         0.1,           0] fk: 71913.7189589       
k: 2        xk: [         0.2,           0] fk: 51365.1561599       
k: 3        xk: [         0.3,           0] fk: 37700.7354138       
k: 4        xk: [         0.4,           0] fk: 30920.4567207       
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30920.4567207 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 33350.0780338       
k: 1        xk: [         0.1,           0] fk: 24327.8524766       
k: 2        xk: [         0.2,           0] fk: 18354.0614007       
k: 3        xk: [         0.3,           0] fk: 14258.1798916       
k: 4        xk: [         0.4,           0] fk: 12040.2079493       
k: 5        xk: [         0.5,           0] fk: 11700.1455739       
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11700.1455739 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 37039.1682285       
k: 1        xk: [         0.1,           0] fk: 28150.8425759       
k: 2        xk: [         0.2,           0] fk: 23100.413622        
k: 3        xk: [         0.3,           0] fk: 19184.0614291       
k: 4        xk: [         0.4,           0] fk: 16401.7859973       
k: 5        xk: [         0.5,           0] fk: 14753.5873266       
k: 6        xk: [         0.6,           0] fk: 14239.4654169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (14239.4654169 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 63963.0178642       
k: 1        xk: [         0.1,           0] fk: 46796.1428101       
k: 2        xk: [         0.2,           0] fk: 34677.850792        
k: 3        xk: [         0.3,           0] fk: 26224.6677409       
k: 4        xk: [         0.4,           0] fk: 21436.5936568       
k: 5        xk: [         0.5,           0] fk: 20313.6285396       
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20313.6285396 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 90916.0115374       
k: 1        xk: [         0.1,           0] fk: 71705.5146785       
k: 2        xk: [         0.2,           0] fk: 56997.3375513       
k: 3        xk: [         0.3,           0] fk: 46016.4722501       
k: 4        xk: [         0.4,           0] fk: 38762.918775        
k: 5        xk: [         0.5,           0] fk: 35236.6771259       
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (35236.6771259 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 55156.7500081       
k: 1        xk: [         0.1,           0] fk: 44197.6357673       
k: 2        xk: [         0.2,           0] fk: 36342.4817413       
k: 3        xk: [         0.3,           0] fk: 30062.8841214       
k: 4        xk: [         0.4,           0] fk: 25358.8429074       
k: 5        xk: [         0.5,           0] fk: 22230.3580994       
k: 6        xk: [         0.6,           0] fk: 20677.4296974       
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20677.4296974 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 27563.6493743       
k: 1        xk: [         0.1,           0] fk: 19619.2607888       
k: 2        xk: [         0.2,           0] fk: 14605.6829403       
k: 3        xk: [         0.3,           0] fk: 11180.1608592       
k: 4        xk: [         0.4,           0] fk: 9342.69454548       
k: 5        xk: [         0.5,           0] fk: 9093.28399919       
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (9093.28399919 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 13953.1286165       
k: 1        xk: [         0.1,           0] fk: 9471.89249067       
k: 2        xk: [         0.2,           0] fk: 6648.1115501        
k: 3        xk: [         0.3,           0] fk: 4791.10995168       
k: 4        xk: [         0.4,           0] fk: 3900.88769539       
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3900.88769539 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 120128.634826       
k: 1        xk: [         0.1,           0] fk: 94453.6140658       
k: 2        xk: [         0.2,           0] fk: 74670.4729124       
k: 3        xk: [         0.3,           0] fk: 60096.987735        
k: 4        xk: [         0.4,           0] fk: 50733.1585335       
k: 5        xk: [         0.5,           0] fk: 46578.9853079       
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (46578.9853079 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 29989.6643315       
k: 1        xk: [         0.1,           0] fk: 24493.7243466       
k: 2        xk: [         0.2,           0] fk: 20773.7342534       
k: 3        xk: [         0.3,           0] fk: 17631.3089668       
k: 4        xk: [         0.4,           0] fk: 15066.4484869       
k: 5        xk: [         0.5,           0] fk: 13079.1528135       
k: 6        xk: [         0.6,           0] fk: 11669.4219468       
k: 7        xk: [         0.7,           0] fk: 10837.2558868       
k: 8        xk: [         0.8,           0] fk: 10582.6546333       
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (10582.6546333 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 48183.6562985       
k: 1        xk: [         0.1,           0] fk: 38628.676714        
k: 2        xk: [         0.2,           0] fk: 31372.8116825       
k: 3        xk: [         0.3,           0] fk: 25656.0239004       
k: 4        xk: [         0.4,           0] fk: 21478.3133675       
k: 5        xk: [         0.5,           0] fk: 18839.6800839       
k: 6        xk: [         0.6,           0] fk: 17740.1240497       
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (17740.1240497 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 23132.7425346       
k: 1        xk: [         0.1,           0] fk: 18898.2221552       
k: 2        xk: [         0.2,           0] fk: 16083.495992        
k: 3        xk: [         0.3,           0] fk: 13644.2359594       
k: 4        xk: [         0.4,           0] fk: 11580.4420576       
k: 5        xk: [         0.5,           0] fk: 9892.11428644       
k: 6        xk: [         0.6,           0] fk: 8579.25264605       
k: 7        xk: [         0.7,           0] fk: 7641.85713637       
k: 8        xk: [         0.8,           0] fk: 7079.92775742       
k: 9        xk: [         0.9,           0] fk: 6893.46450918       
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6893.46450918 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 36898.88387         
k: 1        xk: [         0.1,           0] fk: 29188.1831019       
k: 2        xk: [         0.2,           0] fk: 24860.7578457       
k: 3        xk: [         0.3,           0] fk: 21206.8409318       
k: 4        xk: [         0.4,           0] fk: 18226.4323603       
k: 5        xk: [         0.5,           0] fk: 15919.532131        
k: 6        xk: [         0.6,           0] fk: 14286.1402441       
k: 7        xk: [         0.7,           0] fk: 13326.2566994       
k: 8        xk: [         0.8,           0] fk: 13039.8814971       
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (13039.8814971 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 40987.1607828       
k: 1        xk: [         0.1,           0] fk: 25529.4062284       
k: 2        xk: [         0.2,           0] fk: 24097.104562        
k: 3        xk: [         0.3,           0] fk: 23178.8819216       
k: 4        xk: [         0.4,           0] fk: 22774.7383073       
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (22774.7383073 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 45789.3602829       
k: 1        xk: [         0.1,           0] fk: 29494.8844257       
k: 2        xk: [         0.2,           0] fk: 28976.1193259       
k: 3        xk: [         0.3,           0] fk: 28735.4751754       
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (28735.4751754 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 55284.1384162       
k: 1        xk: [         0.1,           0] fk: 42669.3368942       
k: 2        xk: [         0.2,           0] fk: 42512.0085314       
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (42512.0085314 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 121 grid nodes.
k: 0        xk: [           0,           0] fk: 135177.865875       
k: 1        xk: [         0.1,           0] fk: 113890.174458       
k: 2        xk: [         0.2,           0] fk: 111502.715523       
k: 3        xk: [         0.3,           0] fk: 110854.851081       
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (110854.851081 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 17458.745706711263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 17458.7457067       

        Parameter values: [0.49827266586255908, 0.080605434667881157]
        Function value:   17132.2490160499
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.498272665862559,  0.080605434667881])                
  fk: 17613.44155782881   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49827,    0.080605] fk: 17604.0378287       

        Parameter values: [0.50310825828009453, 4.3815748214858993e-05]
        Function value:   17457.463999692824
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.031082582800945e-01,   4.381574821485899e-05])      
  fk: 17457.548786449977  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311,  4.3816e-05] fk: 17457.4645756       

        Parameter values: [0.50311088754079158, 1.1911986655251886e-08]
        Function value:   17457.464191779189
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.031108875407916e-01,   1.191198665525189e-08])      
  fk: 17457.464214777552  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311,  1.1912e-08] fk: 17457.4641918       

        Parameter values: [0.50311088825569383, 1.6194486309111077e-12]
        Function value:   17457.464191779221
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.031108882556938e-01,   1.619448630911108e-12])      
  fk: 17457.464191782346  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311,  1.6194e-12] fk: 17457.4641918       

        Parameter values: [0.50311088825579109, 1.1005081996794004e-16]
        Function value:   17457.464191779218
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.031108882557911e-01,   1.100508199679400e-16])      
  fk: 17457.464191779218  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311,  1.1005e-16] fk: 17457.4641918       

        Parameter values: [0.5031108882557912, 1.6918632480842715e-19]
        Function value:   17457.464191779214
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  5.031108882557912e-01,   1.691863248084271e-19])      
  fk: 17457.464191779214  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50311,  1.6919e-19] fk: 17457.4641918       

        Parameter values: [0.5031108882557912, -2.3637594327272468e-21]
        Function value:   17457.464191779214
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5031108882557912, -2.3637594327272468e-21]
Function value:   17457.464191779214
Iterations:       10
Function calls:   45
Gradient calls:   17
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17457.4641918 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 26175.755521774958  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 26175.7555218       

        Parameter values: [0.63195149767786907, 0.072934569006748204]
        Function value:   25780.049830761389
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.631951497677869,  0.072934569006748])                
  fk: 26243.422953018864  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63195,    0.072935] fk: 26225.1095141       

        Parameter values: [0.63587707352522016, 5.1299187487390072e-05]
        Function value:   26046.396546984375
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.358770735252202e-01,   5.129918748739007e-05])      
  fk: 26046.53512728561   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63588,  5.1299e-05] fk: 26046.3973365       

        Parameter values: [0.63587983558578864, 1.8047220134458281e-08]
        Function value:   26046.396810330189
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.358798355857886e-01,   1.804722013445828e-08])      
  fk: 26046.396858990542  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63588,  1.8047e-08] fk: 26046.3968103       

        Parameter values: [0.63587983655766134, 3.1750950953728402e-12]
        Function value:   26046.396810330258
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.358798365576613e-01,   3.175095095372840e-12])      
  fk: 26046.396810338818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63588,  3.1751e-12] fk: 26046.3968103       

        Parameter values: [0.635879836557664, 3.1247256110750057e-12]
        Function value:   26046.39681033025
        Iterations:       2
        Function calls:   23
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  6.358798365576640e-01,   3.124725611075006e-12])      
  fk: 26046.396810338676  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.63588,  3.1247e-12] fk: 26046.3968103       

        Parameter values: [0.635879836557664, 3.1244395466163746e-12]
        Function value:   26046.39681033025
        Iterations:       1
        Function calls:   17
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.635879836557664, 3.1244395466163746e-12]
Function value:   26046.396810338676
Iterations:       8
Function calls:   62
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (26046.3968103 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 14896.696087230728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 14896.6960872       

        Parameter values: [0.45847178518058546, 0.084811987202402794]
        Function value:   14345.617448942156
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.458471785180585,  0.084811987202403])                
  fk: 14834.083662305156  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45847,    0.084812] fk: 14828.316769        

        Parameter values: [0.46377865628193127, 3.3015182405081119e-05]
        Function value:   14705.551115925946
        Iterations:       3
        Function calls:   26
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.637786562819313e-01,   3.301518240508112e-05])      
  fk: 14705.601150427008  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46378,  3.3015e-05] fk: 14705.5514429       

        Parameter values: [0.46378072251610092, 6.4272427853325127e-09]
        Function value:   14705.551224968609
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.637807225161009e-01,   6.427242785332513e-09])      
  fk: 14705.551234687866  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46378,  6.4272e-09] fk: 14705.551225        

        Parameter values: [0.46378072291838501, 6.2567423739871533e-13]
        Function value:   14705.55122496862
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.637807229183850e-01,   6.256742373987153e-13])      
  fk: 14705.551224969566  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46378,  6.2567e-13] fk: 14705.551225        

        Parameter values: [0.46378072291842415, 3.0322581923510702e-17]
        Function value:   14705.551224968616
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.637807229184241e-01,   3.032258192351070e-17])      
  fk: 14705.551224968616  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46378,  3.0323e-17] fk: 14705.551225        

        Parameter values: [0.46378072291842415, 2.2755623165882172e-17]
        Function value:   14705.551224968616
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46378072291842415, 2.2755623165882172e-17]
Function value:   14705.551224968616
Iterations:       8
Function calls:   43
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14705.551225 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 9541.1886625134284  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 9541.18866251       

        Parameter values: [0.40230868081234566, 0.090057038223278707]
        Function value:   9126.2180566886
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.402308680812346,  0.090057038223279])                
  fk: 9621.2749322439322  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40231,    0.090057] fk: 9618.80337002       

        Parameter values: [0.40806743968010056, 2.373907053696998e-05]
        Function value:   9531.9453504043267
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.080674396801006e-01,   2.373907053696998e-05])      
  fk: 9531.9688977170754  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40807,  2.3739e-05] fk: 9531.94551947       

        Parameter values: [0.40806895789129333, 3.1292265767218113e-09]
        Function value:   9531.9454067735314
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.080689578912933e-01,   3.129226576721811e-09])      
  fk: 9531.9454098700498  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40807,  3.1292e-09] fk: 9531.94540677       

        Parameter values: [0.40806895809143345, 2.0625712308136944e-13]
        Function value:   9531.9454067735351
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.080689580914335e-01,   2.062571230813694e-13])      
  fk: 9531.9454067737388  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40807,  2.0626e-13] fk: 9531.94540677       

        Parameter values: [0.40806895809144667, 6.8509828117530211e-18]
        Function value:   9531.9454067735314
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.080689580914467e-01,   6.850982811753021e-18])      
  fk: 9531.9454067735314  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40807,   6.851e-18] fk: 9531.94540677       

        Parameter values: [0.40806895809144667, 6.9069921275729088e-20]
        Function value:   9531.9454067735314
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.40806895809144667, 6.9069921275729088e-20]
Function value:   9531.9454067735314
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9531.94540677 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 10820.198656865867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 10820.1986569       

        Parameter values: [0.5080755731091261, 0.088569645782936524]
        Function value:   10414.395796426772
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.508075573109126,  0.088569645782937])                
  fk: 10907.863146550395  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50808,     0.08857] fk: 10904.5968216       

        Parameter values: [0.51338940785309506, 2.7073074849515762e-05]
        Function value:   10806.864689397484
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.133894078530951e-01,   2.707307484951576e-05])      
  fk: 10806.895561585874  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51339,  2.7073e-05] fk: 10806.8649093       

        Parameter values: [0.51339103238071915, 4.1383445362682693e-09]
        Function value:   10806.864762715031
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.133910323807191e-01,   4.138344536268269e-09])      
  fk: 10806.864767422894  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51339,  4.1383e-09] fk: 10806.8647627       

        Parameter values: [0.51339103262906061, 3.16314227601573e-13]
        Function value:   10806.864762715035
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.133910326290606e-01,   3.163142276015730e-13])      
  fk: 10806.864762715395  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51339,  3.1631e-13] fk: 10806.8647627       

        Parameter values: [0.51339103262907959, 1.2296162028352019e-17]
        Function value:   10806.864762715029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.133910326290796e-01,   1.229616202835202e-17])      
  fk: 10806.864762715029  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51339,  1.2296e-17] fk: 10806.8647627       

        Parameter values: [0.51339103262907959, -7.4657170817503995e-20]
        Function value:   10806.864762715029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.51339103262907959, -7.4657170817503995e-20]
Function value:   10806.864762715029
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10806.8647627 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 8747.1825981243474  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 8747.18259812       

        Parameter values: [0.53024981109975411, 0.090623537243302063]
        Function value:   8274.3326439177308
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.530249811099754,  0.090623537243302])                
  fk: 8769.9367412263437  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53025,    0.090624] fk: 8767.73878988       

        Parameter values: [0.53549185270390776, 2.3240646340701773e-05]
        Function value:   8685.174534000058
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.354918527039078e-01,   2.324064634070177e-05])      
  fk: 8685.1962714927795  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549,  2.3241e-05] fk: 8685.17469604       

        Parameter values: [0.53549319721177346, 2.98044485103985e-09]
        Function value:   8685.1745880266772
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.354931972117735e-01,   2.980444851039850e-09])      
  fk: 8685.1745908074245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549,  2.9804e-09] fk: 8685.17458803       

        Parameter values: [0.53549319738420798, 1.911225157331432e-13]
        Function value:   8685.1745880266826
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.354931973842080e-01,   1.911225157331432e-13])      
  fk: 8685.1745880268609  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549,  1.9112e-13] fk: 8685.17458803       

        Parameter values: [0.53549319738421897, 6.0101952825962428e-18]
        Function value:   8685.174588026679
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.354931973842190e-01,   6.010195282596243e-18])      
  fk: 8685.174588026679   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53549,  6.0102e-18] fk: 8685.17458803       

        Parameter values: [0.53549319738421897, -3.1353510248945646e-20]
        Function value:   8685.174588026679
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53549319738421897, -3.1353510248945646e-20]
Function value:   8685.174588026679
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8685.17458803 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 4337.4720387558336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 4337.47203876       

        Parameter values: [0.53955297701415261, 0.096090860627104618]
        Function value:   3841.1763017812423
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.539552977014153,  0.096090860627105])                
  fk: 4340.4122332494062  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53955,    0.096091] fk: 4340.03019898       

        Parameter values: [0.54494311605029433, 9.9195965391527625e-06]
        Function value:   4302.9442948409778
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.449431160502943e-01,   9.919596539152763e-06])      
  fk: 4302.9481627096775  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54494,  9.9196e-06] fk: 4302.94432436       

        Parameter values: [0.54494367251075393, 5.1203347541689428e-10]
        Function value:   4302.9443046818324
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.449436725107539e-01,   5.120334754168943e-10])      
  fk: 4302.9443048809771  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54494,  5.1203e-10] fk: 4302.94430468       

        Parameter values: [0.54494367253947817, 1.3215452592424447e-14]
        Function value:   4302.9443046818324
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54494367253947817, 1.3215452592424447e-14]
Function value:   4302.9443046818378
Iterations:       7
Function calls:   48
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4302.94430468 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 2475.4710637640464  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 2475.47106376       

        Parameter values: [0.59115954143981553, 0.097901611611826075]
        Function value:   1996.0525003387447
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.591159541439816,  0.097901611611826])                
  fk: 2495.8323386473635  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59116,    0.097902] fk: 2495.7222578        

        Parameter values: [0.59613384401423608, 6.3947898510928067e-06]
        Function value:   2475.3513841716203
        Iterations:       4
        Function calls:   38
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.961338440142361e-01,   6.394789851092807e-06])      
  fk: 2475.3527219575635  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59613,  6.3948e-06] fk: 2475.35139644       

        Parameter values: [0.59613416893900528, 2.0885597378131853e-10]
        Function value:   2475.3513882612206
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.961341689390053e-01,   2.088559737813185e-10])      
  fk: 2475.3513883047794  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59613,  2.0886e-10] fk: 2475.35138826       

        Parameter values: [0.59613416893933691, 2.0232933118579053e-10]
        Function value:   2475.3513882612206
        Iterations:       1
        Function calls:   8
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59613416893933691, 2.0232933118579053e-10]
Function value:   2475.3513883034184
Iterations:       7
Function calls:   52
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (2475.3513883 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 5561.098815981215   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 5561.09881598       

        Parameter values: [0.56353888294134291, 0.095500993952532726]
        Function value:   5088.5609635794972
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.563538882941343,  0.095500993952533])                
  fk: 5587.5489108087395  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56354,    0.095501] fk: 5587.04288442       

        Parameter values: [0.56852815543608437, 1.2075625232550041e-05]
        Function value:   5544.698279296812
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.685281554360844e-01,   1.207562523255004e-05])      
  fk: 5544.7036975458341  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56853,  1.2076e-05] fk: 5544.69832304       

        Parameter values: [0.56852878634463977, 7.6349961705831585e-10]
        Function value:   5544.698293880725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.685287863446398e-01,   7.634996170583159e-10])      
  fk: 5544.6982942223804  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56853,   7.635e-10] fk: 5544.69829388       

        Parameter values: [0.56852878636458548, 3.8176187732989147e-10]
        Function value:   5544.6982938807259
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.685287863645855e-01,   3.817618773298915e-10])      
  fk: 5544.6982940515591  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56853,  3.8176e-10] fk: 5544.69829388       

        Parameter values: [0.56852878636832549, 3.1018341111834141e-10]
        Function value:   5544.6982938807259
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56852878636832549, 3.1018341111834141e-10]
Function value:   5544.6982940195285
Iterations:       7
Function calls:   40
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (5544.69829402 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 7645.0932470122434  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 7645.09324701       

        Parameter values: [0.59386858637399098, 0.094805179479781038]
        Function value:   7195.516570320041
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.593868586373991,  0.094805179479781])                
  fk: 7694.1672623081768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59387,    0.094805] fk: 7693.4926083        

        Parameter values: [0.59858732629288436, 1.4686546813965501e-05]
        Function value:   7645.0569092003807
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.985873262928844e-01,   1.468654681396550e-05])      
  fk: 7645.0645170283915  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59859,  1.4687e-05] fk: 7645.05697391       

        Parameter values: [0.59858805734326992, 1.1376560161826599e-09]
        Function value:   7645.0569307731885
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.985880573432699e-01,   1.137656016182660e-09])      
  fk: 7645.0569313608385  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59859,  1.1377e-09] fk: 7645.05693077       

        Parameter values: [0.59858805739990117, 4.4064679294368319e-14]
        Function value:   7645.0569307731885
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59858805739990117, 4.4064679294368319e-14]
Function value:   7645.0569307732112
Iterations:       6
Function calls:   33
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (7645.05693077 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 3594.7798355316936  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 3594.77983553       

        Parameter values: [0.55824937912041794, 0.097008365951636005]
        Function value:   3107.4747334013277
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.558249379120418,  0.097008365951636])                
  fk: 3607.0272396873611  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55825,    0.097008] fk: 3606.80349283       

        Parameter values: [0.56356974908345048, 8.0434377068491769e-06]
        Function value:   3578.0839147065103
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.635697490834505e-01,   8.043437706849177e-06])      
  fk: 3578.0863145390322  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56357,  8.0434e-06] fk: 3578.08393412       

        Parameter values: [0.56357019023961441, 3.3347418874509871e-10]
        Function value:   3578.0839211767357
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.635701902396144e-01,   3.334741887450987e-10])      
  fk: 3578.0839212759624  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56357,  3.3347e-10] fk: 3578.08392118       

        Parameter values: [0.56357019024418697, 2.5010736975021663e-10]
        Function value:   3578.0839211767357
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56357019024418697, 2.5010736975021663e-10]
Function value:   3578.0839212511564
Iterations:       6
Function calls:   35
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3578.08392125 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 10070.700538052157  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 10070.7005381       

        Parameter values: [0.44340761876634238, 0.089613769108228797]
        Function value:   9404.3526578220717
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.443407618766342,  0.089613769108229])                
  fk: 9898.9589682152127  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44341,    0.089614] fk: 9896.26212341       

        Parameter values: [0.44904024367788786, 2.475185403050641e-05]
        Function value:   9806.1058492044267
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.490402436778879e-01,   2.475185403050641e-05])      
  fk: 9806.1314957860959  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44904,  2.4752e-05] fk: 9806.106033         

        Parameter values: [0.44904179965714974, 3.4187765173695974e-09]
        Function value:   9806.1059104867782
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.490417996571497e-01,   3.418776517369597e-09])      
  fk: 9806.1059140206726  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44904,  3.4188e-09] fk: 9806.10591049       

        Parameter values: [0.44904179987207965, 2.3612009726535065e-13]
        Function value:   9806.1059104867818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.490417998720796e-01,   2.361200972653507e-13])      
  fk: 9806.1059104870255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44904,  2.3612e-13] fk: 9806.10591049       

        Parameter values: [0.44904179987208698, 1.1806420151808014e-13]
        Function value:   9806.1059104867818
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44904179987208698, 1.1806420151808014e-13]
Function value:   9806.1059104869037
Iterations:       7
Function calls:   38
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (9806.10591049 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 12877.233178063123  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 12877.2331781       

        Parameter values: [0.42686425955735557, 0.085983035825611648]
        Function value:   12340.193411803697
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.426864259557356,  0.085983035825612])                
  fk: 12830.369647570393  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42686,    0.085983] fk: 12825.4577655       

        Parameter values: [0.43228344691700632, 3.3148552325976393e-05]
        Function value:   12710.132555609342
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.322834469170063e-01,   3.314855232597639e-05])      
  fk: 12710.178909933727  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43228,  3.3149e-05] fk: 12710.1328853       

        Parameter values: [0.43228553654838714, 6.3910186674228731e-09]
        Function value:   12710.132665534366
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.322855365483871e-01,   6.391018667422873e-09])      
  fk: 12710.132674450255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43229,   6.391e-09] fk: 12710.1326655       

        Parameter values: [0.43228553695130562, 6.161517720305179e-13]
        Function value:   12710.132665534373
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.322855369513056e-01,   6.161517720305179e-13])      
  fk: 12710.132665535233  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43229,  6.1615e-13] fk: 12710.1326655       

        Parameter values: [0.43228553695134447, 2.98093431967047e-17]
        Function value:   12710.132665534367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.322855369513445e-01,   2.980934319670470e-17])      
  fk: 12710.132665534367  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43229,  2.9809e-17] fk: 12710.1326655       

        Parameter values: [0.43228553695134447, -9.9758178432554977e-20]
        Function value:   12710.132665534367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43228553695134447, -9.9758178432554977e-20]
Function value:   12710.132665534367
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12710.1326655 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 5301.5647869842051  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 5301.56478698       

        Parameter values: [0.56615841344945006, 0.094420471574317433]
        Function value:   4836.0264215436964
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.56615841344945 ,  0.094420471574317])                
  fk: 5334.4698646710467  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56616,     0.09442] fk: 5333.69158623       

        Parameter values: [0.57144371023853491, 1.38570173990949e-05]
        Function value:   5281.918532771263
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.714437102385349e-01,   1.385701739909490e-05])      
  fk: 5281.9262451318173  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57144,  1.3857e-05] fk: 5281.91859038       

        Parameter values: [0.57144448595828001, 1.016892942396516e-09]
        Function value:   5281.9185519757748
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.714444859582800e-01,   1.016892942396516e-09])      
  fk: 5281.9185525403345  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57144,  1.0169e-09] fk: 5281.91855198       

        Parameter values: [0.57144448597317909, 7.5076275821133907e-10]
        Function value:   5281.9185519757739
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  5.714444859731791e-01,   7.507627582113391e-10])      
  fk: 5281.9185523925835  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57144,  7.5076e-10] fk: 5281.91855198       

        Parameter values: [0.57144448603622422, -3.753558348223766e-10]
        Function value:   5281.9185519757739
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.57144448603622422, -3.753558348223766e-10]
Function value:   5281.9185517673841
Iterations:       8
Function calls:   47
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5281.91855177 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 3793.9008961135905  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 3793.90089611       

        Parameter values: [0.38338549417921386, 0.095619461527347668]
        Function value:   3328.3587402424478
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.383385494179214,  0.095619461527348])                
  fk: 3827.3992843769283  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38339,    0.095619] fk: 3826.91955644       

        Parameter values: [0.38952807532643641, 1.2133207150529478e-05]
        Function value:   3785.6288284548764
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  3.895280753264364e-01,   1.213320715052948e-05])      
  fk: 3785.6341287314767  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38953,  1.2133e-05] fk: 3785.62887262       

        Parameter values: [0.38952885481146116, 7.6984357613152084e-10]
        Function value:   3785.6288431782164
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.895288548114612e-01,   7.698435761315208e-10])      
  fk: 3785.6288435135812  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38953,  7.6984e-10] fk: 3785.62884318       

        Parameter values: [0.38952885486092048, 2.4423757727572734e-14]
        Function value:   3785.6288431782159
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.895288548609205e-01,   2.442375772757273e-14])      
  fk: 3785.6288431782264  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38953,  2.4424e-14] fk: 3785.62884318       

        Parameter values: [0.38952885486092209, 3.7124901360617039e-19]
        Function value:   3785.628843178215
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  3.895288548609221e-01,   3.712490136061704e-19])      
  fk: 3785.628843178215   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38953,  3.7125e-19] fk: 3785.62884318       

        Parameter values: [0.38952885486092209, 2.7994489650104863e-19]
        Function value:   3785.628843178215
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38952885486092209, 2.7994489650104863e-19]
Function value:   3785.628843178215
Iterations:       8
Function calls:   41
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3785.62884318 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 22563.843911885499  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 22563.8439119       

        Parameter values: [0.6119523869453013, 0.07604914041392076]
        Function value:   22249.384666518767
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.611952386945301,  0.076049140413921])                
  fk: 22720.702482773162  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61195,    0.076049] fk: 22706.3613909       

        Parameter values: [0.61610648747457286, 4.8687255450791545e-05]
        Function value:   22538.92851679619
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.161064874745729e-01,   4.868725545079155e-05])      
  fk: 22539.044889913199  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61611,  4.8687e-05] fk: 22538.9292279       

        Parameter values: [0.61610914781385939, 1.5589971588393604e-08]
        Function value:   22538.928753992881
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.161091478138594e-01,   1.558997158839360e-08])      
  fk: 22538.928791180348  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61611,   1.559e-08] fk: 22538.928754        

        Parameter values: [0.61610914866585342, 2.4964033940560894e-12]
        Function value:   22538.928753992932
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.161091486658534e-01,   2.496403394056089e-12])      
  fk: 22538.928753998887  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61611,  2.4964e-12] fk: 22538.928754        

        Parameter values: [0.61610914866588751, 1.8723525909436596e-12]
        Function value:   22538.928753992932
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.61610914866588751, 1.8723525909436596e-12]
Function value:   22538.928753997399
Iterations:       6
Function calls:   27
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22538.928754 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 8044.5851101603221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 8044.58511016       

        Parameter values: [0.47786647346093214, 0.090547774345306642]
        Function value:   7612.501834880276
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.477866473460932,  0.090547774345307])                
  fk: 8108.0346063889137  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47787,    0.090548] fk: 8105.80099214       

        Parameter values: [0.48339663289049833, 2.5383834977589156e-05]
        Function value:   8022.6766518008599
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.833966328904983e-01,   2.538383497758916e-05])      
  fk: 8022.7005807405712  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834,  2.5384e-05] fk: 8022.6768451        

        Parameter values: [0.48339818341268931, 3.5585049515217534e-09]
        Function value:   8022.6767162528322
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.833981834126893e-01,   3.558504951521753e-09])      
  fk: 8022.676719598343   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834,  3.5585e-09] fk: 8022.67671625       

        Parameter values: [0.48339818363006892, 2.4944717454469594e-13]
        Function value:   8022.6767162528358
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.833981836300689e-01,   2.494471745446959e-13])      
  fk: 8022.6767162530705  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834,  2.4945e-13] fk: 8022.67671625       

        Parameter values: [0.48339818363008413, 8.8082058839917785e-18]
        Function value:   8022.6767162528349
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.833981836300841e-01,   8.808205883991779e-18])      
  fk: 8022.6767162528349  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4834,  8.8082e-18] fk: 8022.67671625       

        Parameter values: [0.48339818363008413, 2.7236356701197157e-20]
        Function value:   8022.6767162528349
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48339818363008413, 2.7236356701197157e-20]
Function value:   8022.6767162528349
Iterations:       8
Function calls:   39
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8022.67671625 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 8036.7257655587882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 8036.72576556       

        Parameter values: [0.5805896458516373, 0.091406184105244426]
        Function value:   7610.8487306689731
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.580589645851637,  0.091406184105244])                
  fk: 8107.1560470873255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58059,    0.091406] fk: 8105.3097053        

        Parameter values: [0.5857120224284057, 2.1508386425655307e-05]
        Function value:   8028.7998552560093
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.857120224284057e-01,   2.150838642565531e-05])      
  fk: 8028.8182929062541  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58571,  2.1508e-05] fk: 8028.79999404       

        Parameter values: [0.58571322789409397, 2.5308195775202618e-09]
        Function value:   8028.7999015279674
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.857132278940940e-01,   2.530819577520262e-09])      
  fk: 8028.7999036920191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58571,  2.5308e-09] fk: 8028.79990153       

        Parameter values: [0.58571322803594528, 1.4890496121249493e-13]
        Function value:   8028.7999015279656
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.857132280359453e-01,   1.489049612124949e-13])      
  fk: 8028.799901528093   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58571,   1.489e-13] fk: 8028.79990153       

        Parameter values: [0.58571322803595383, 4.4508336076645954e-18]
        Function value:   8028.7999015279638
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.857132280359538e-01,   4.450833607664595e-18])      
  fk: 8028.7999015279638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58571,  4.4508e-18] fk: 8028.79990153       

        Parameter values: [0.58571322803595383, 7.5712691795378615e-21]
        Function value:   8028.7999015279638
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58571322803595383, 7.5712691795378615e-21]
Function value:   8028.7999015279638
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8028.79990153 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8,  0. ])                                            
  fk: 10693.062348843969  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,           0] fk: 10693.0623488       

        Parameter values: [0.79942606978033026, 0.088975840692251493]
        Function value:   10296.645060191733
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.79942606978033 ,  0.088975840692251])                
  fk: 10790.568455769604  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79943,    0.088976] fk: 10787.5301536       

        Parameter values: [0.80348066465830414, 2.5373413260919818e-05]
        Function value:   10692.705833613994
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  8.034806646583041e-01,   2.537341326091982e-05])      
  fk: 10692.733741287981  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80348,  2.5373e-05] fk: 10692.7060268       

        Parameter values: [0.80348182107988808, 3.6184086978765042e-09]
        Function value:   10692.705898013364
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.034818210798881e-01,   3.618408697876504e-09])      
  fk: 10692.705901983991  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80348,  3.6184e-09] fk: 10692.705898        

        Parameter values: [0.80348182124481282, 2.5802192679939132e-13]
        Function value:   10692.70589801337
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.034818212448128e-01,   2.580219267993913e-13])      
  fk: 10692.705898013653  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80348,  2.5802e-13] fk: 10692.705898        

        Parameter values: [0.8034818212448247, 9.265408131860121e-18]
        Function value:   10692.70589801337
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8034818212448247, 9.265408131860121e-18]
Function value:   10692.70589801337
Iterations:       7
Function calls:   37
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10692.705898 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 11421.658300851494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 11421.6583009       

        Parameter values: [0.42478289388749213, 0.088054624924677888]
        Function value:   10915.204149549732
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.424782893887492,  0.088054624924678])                
  fk: 11408.069550265227  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42478,    0.088055] fk: 11404.5022506       

        Parameter values: [0.43032943190732625, 2.756092108957206e-05]
        Function value:   11303.12768473793
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.303294319073263e-01,   2.756092108957206e-05])      
  fk: 11303.160531331478  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43033,  2.7561e-05] fk: 11303.1279126       

        Parameter values: [0.43033116823434153, 4.3139316508693638e-09]
        Function value:   11303.127760722149
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.303311682343415e-01,   4.313931650869364e-09])      
  fk: 11303.127765851519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43033,  4.3139e-09] fk: 11303.1277607       

        Parameter values: [0.43033116850613878, 3.3764225014080473e-13]
        Function value:   11303.127760722151
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.303311685061388e-01,   3.376422501408047e-13])      
  fk: 11303.127760722553  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43033,  3.3764e-13] fk: 11303.1277607       

        Parameter values: [0.43033116850616004, 1.3378954556028711e-17]
        Function value:   11303.127760722151
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43033116850616004, 1.3378954556028711e-17]
Function value:   11303.127760722151
Iterations:       7
Function calls:   37
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11303.1277607 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 3030.0863375220893  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 3030.08633752       

        Parameter values: [0.60283584628738696, 0.096910142390401813]
        Function value:   2559.1173458361682
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.602835846287387,  0.096910142390402])                
  fk: 3058.6399848337887  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60284,     0.09691] fk: 3058.40130433       

        Parameter values: [0.60859205150571405, 7.6582273908561583e-06]
        Function value:   3028.7703467332572
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.085920515057140e-01,   7.658227390856158e-06])      
  fk: 3028.7727071516306  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60859,  7.6582e-06] fk: 3028.77036433       

        Parameter values: [0.60859250640206697, 3.026038490557036e-10]
        Function value:   3028.7703525985671
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.085925064020670e-01,   3.026038490557036e-10])      
  fk: 3028.7703526916039  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60859,   3.026e-10] fk: 3028.7703526        

        Parameter values: [0.60859250642004181, 5.9786097304683936e-15]
        Function value:   3028.7703525985662
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.085925064200418e-01,   5.978609730468394e-15])      
  fk: 3028.770352598568   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60859,  5.9786e-15] fk: 3028.7703526        

        Parameter values: [0.60859250642004226, 9.4185815658907926e-20]
        Function value:   3028.7703525985662
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60859250642004226, 9.4185815658907926e-20]
Function value:   3028.7703525985662
Iterations:       7
Function calls:   37
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3028.7703526 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.9,  0. ])                                            
  fk: 9861.7461079348141  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,           0] fk: 9861.74610793       

        Parameter values: [0.9014781092227605, 0.088887834355236423]
        Function value:   9465.4601256989463
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.901478109222761,  0.088887834355236])                
  fk: 9959.2861144331127  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90148,    0.088888] fk: 9956.1991088        

        Parameter values: [0.90553224263016152, 2.775536041445259e-05]
        Function value:   9860.7591919050446
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  9.055322426301615e-01,   2.775536041445259e-05])      
  fk: 9860.789957085286   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90553,  2.7755e-05] fk: 9860.75942301       

        Parameter values: [0.90553350873710803, 4.3340032364813305e-09]
        Function value:   9860.7592689651028
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.055335087371080e-01,   4.334003236481331e-09])      
  fk: 9860.7592737570576  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90553,   4.334e-09] fk: 9860.75926897       

        Parameter values: [0.90553350893482609, 3.3840404338821305e-13]
        Function value:   9860.7592689651101
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  9.055335089348261e-01,   3.384040433882131e-13])      
  fk: 9860.7592689654848  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90553,   3.384e-13] fk: 9860.75926897       

        Parameter values: [0.90553350893484152, 1.3140277960890014e-17]
        Function value:   9860.7592689651065
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  9.055335089348415e-01,   1.314027796089001e-17])      
  fk: 9860.7592689651065  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.90553,   1.314e-17] fk: 9860.75926897       

        Parameter values: [0.90553350893484152, 9.8816061959894567e-18]
        Function value:   9860.7592689651065
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.90553350893484152, 9.8816061959894567e-18]
Function value:   9860.7592689651065
Iterations:       8
Function calls:   42
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (9860.75926897 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 2785.8942213662012  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 2785.89422137       

        Parameter values: [0.36935649384815367, 0.096970710249584702]
        Function value:   2271.5774349375988
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.369356493848154,  0.096970710249585])                
  fk: 2771.1186051180002  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.36936,    0.096971] fk: 2770.88919021       

        Parameter values: [0.37566936093365261, 8.2712640427085038e-06]
        Function value:   2741.823574287931
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  3.756693609336526e-01,   8.271264042708504e-06])      
  fk: 2741.8260730520888  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37567,  8.2713e-06] fk: 2741.82359481       

        Parameter values: [0.37566989942220635, 3.527700615382301e-10]
        Function value:   2741.8235811298964
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.756698994222064e-01,   3.527700615382301e-10])      
  fk: 2741.8235812361772  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37567,  3.5277e-10] fk: 2741.82358113       

        Parameter values: [0.37566989944517348, 7.5230940112803455e-15]
        Function value:   2741.823581129896
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.756698994451735e-01,   7.523094011280346e-15])      
  fk: 2741.8235811298982  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37567,  7.5231e-15] fk: 2741.82358113       

        Parameter values: [0.37566989944517348, 7.0529079476227219e-15]
        Function value:   2741.823581129896
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.37566989944517348, 7.0529079476227219e-15]
Function value:   2741.8235811298982
Iterations:       7
Function calls:   40
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2741.82358113 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 12396.229978120295  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 12396.2299781       

        Parameter values: [0.60418581833065954, 0.087130301384915121]
        Function value:   12011.8822083138
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.60418581833066 ,  0.087130301384915])                
  fk: 12503.600751191643  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60419,     0.08713] fk: 12499.4600226       

        Parameter values: [0.60906814099759898, 2.8949759480151847e-05]
        Function value:   12391.718919411958
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.090681409975990e-01,   2.894975948015185e-05])      
  fk: 12391.75609307105   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60907,   2.895e-05] fk: 12391.7191708       

        Parameter values: [0.60906976345901165, 4.8101969964763178e-09]
        Function value:   12391.719003248665
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.090697634590116e-01,   4.810196996476318e-09])      
  fk: 12391.719009411387  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60907,  4.8102e-09] fk: 12391.7190032       

        Parameter values: [0.60906976372861676, 3.9965702627396622e-13]
        Function value:   12391.719003248671
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.090697637286168e-01,   3.996570262739662e-13])      
  fk: 12391.719003249182  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60907,  3.9966e-13] fk: 12391.7190032       

        Parameter values: [0.60906976372863919, 1.6521701997775461e-17]
        Function value:   12391.719003248669
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  6.090697637286392e-01,   1.652170199777546e-17])      
  fk: 12391.719003248669  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60907,  1.6522e-17] fk: 12391.7190032       

        Parameter values: [0.60906976372863919, 3.0124117394913554e-20]
        Function value:   12391.719003248669
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60906976372863919, 3.0124117394913554e-20]
Function value:   12391.719003248669
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12391.7190032 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 16397.160174027202  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 16397.160174        

        Parameter values: [0.4206554912471811, 0.083637250877161784]
        Function value:   15830.63465540685
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.420655491247181,  0.083637250877162])                
  fk: 16317.247677464002  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42066,    0.083637] fk: 16310.5541885       

        Parameter values: [0.42607842295955123, 3.4529625524314794e-05]
        Function value:   16180.682938416578
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.260784229595512e-01,   3.452962552431479e-05])      
  fk: 16180.739319147049  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42608,   3.453e-05] fk: 16180.6832961       

        Parameter values: [0.42608066227828456, 7.1292468156917781e-09]
        Function value:   16180.683057695311
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.260806622782846e-01,   7.129246815691778e-09])      
  fk: 16180.683069311473  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42608,  7.1292e-09] fk: 16180.6830577       

        Parameter values: [0.42608066274067896, 7.360550847029259e-13]
        Function value:   16180.683057695323
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.260806627406790e-01,   7.360550847029259e-13])      
  fk: 16180.683057696522  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42608,  7.3606e-13] fk: 16180.6830577       

        Parameter values: [0.4260806627406849, 6.4405292163908514e-13]
        Function value:   16180.683057695323
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4260806627406849, 6.4405292163908514e-13]
Function value:   16180.683057696373
Iterations:       6
Function calls:   28
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16180.6830577 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 13131.70464441924   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 13131.7046444       

        Parameter values: [0.51686178628892177, 0.086466362853177783]
        Function value:   12720.930793913723
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.516861786288922,  0.086466362853178])                
  fk: 13211.772827192632  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51686,    0.086466] fk: 13207.1938438       

        Parameter values: [0.52197054976698631, 3.0136368513200909e-05]
        Function value:   13095.012967384089
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.219705497669863e-01,   3.013636851320091e-05])      
  fk: 13095.053662031656  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52197,  3.0136e-05] fk: 13095.0132398       

        Parameter values: [0.52197233064926718, 5.2526726798650945e-09]
        Function value:   13095.013058235822
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.219723306492672e-01,   5.252672679865094e-09])      
  fk: 13095.013065312933  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52197,  5.2527e-09] fk: 13095.0130582       

        Parameter values: [0.5219723309596962, 4.5780157449480512e-13]
        Function value:   13095.013058235829
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.219723309596962e-01,   4.578015744948051e-13])      
  fk: 13095.013058236445  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52197,   4.578e-13] fk: 13095.0130582       

        Parameter values: [0.52197233095972329, 1.9982398972372536e-17]
        Function value:   13095.013058235823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.219723309597233e-01,   1.998239897237254e-17])      
  fk: 13095.013058235823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52197,  1.9982e-17] fk: 13095.0130582       

        Parameter values: [0.52197233095972329, 1.6491964142452435e-19]
        Function value:   13095.013058235823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52197233095972329, 1.6491964142452435e-19]
Function value:   13095.013058235823
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13095.0130582 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 4649.4365893184222  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 4649.43658932       

        Parameter values: [0.41617781324503705, 0.095618180302871406]
        Function value:   4150.4732861724951
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.416177813245037,  0.095618180302871])                
  fk: 4649.5132689795882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41618,    0.095618] fk: 4649.03326038       

        Parameter values: [0.42237945961482576, 1.0335814488654244e-05]
        Function value:   4607.7139355714517
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.223794596148258e-01,   1.033581448865424e-05])      
  fk: 4607.7184538560969  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238,  1.0336e-05] fk: 4607.71396762       

        Parameter values: [0.42238013001590197, 5.5865335958526943e-10]
        Function value:   4607.7139462555151
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.223801300159020e-01,   5.586533595852694e-10])      
  fk: 4607.7139464991524  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238,  5.5865e-10] fk: 4607.71394626       

        Parameter values: [0.42238013005213815, 1.5098084096730072e-14]
        Function value:   4607.7139462555142
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.223801300521381e-01,   1.509808409673007e-14])      
  fk: 4607.7139462555206  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238,  1.5098e-14] fk: 4607.71394626       

        Parameter values: [0.42238013005213915, 2.1953794667859975e-19]
        Function value:   4607.7139462555133
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.223801300521391e-01,   2.195379466785998e-19])      
  fk: 4607.7139462555133  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42238,  2.1954e-19] fk: 4607.71394626       

        Parameter values: [0.42238013005213915, -1.3375345242453922e-20]
        Function value:   4607.7139462555133
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42238013005213915, -1.3375345242453922e-20]
Function value:   4607.7139462555133
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4607.71394626 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 10685.89559493526   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 10685.8955949       

        Parameter values: [0.52472121244986936, 0.089214468374158515]
        Function value:   10231.78580674013
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.524721212449869,  0.089214468374159])                
  fk: 10725.96942211753   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52472,    0.089214] fk: 10723.0612298       

        Parameter values: [0.53002330883997351, 2.440550672637605e-05]
        Function value:   10629.964607535123
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.300233088399735e-01,   2.440550672637605e-05])      
  fk: 10629.990870608712  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53002,  2.4406e-05] fk: 10629.9647862       

        Parameter values: [0.53002475947968752, 3.3386414253091352e-09]
        Function value:   10629.964667114295
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.300247594796875e-01,   3.338641425309135e-09])      
  fk: 10629.964670698899  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53002,  3.3386e-09] fk: 10629.9646671       

        Parameter values: [0.53002475967814677, 2.2837683097463314e-13]
        Function value:   10629.964667114298
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.300247596781468e-01,   2.283768309746331e-13])      
  fk: 10629.964667114544  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53002,  2.2838e-13] fk: 10629.9646671       

        Parameter values: [0.53002475967816032, 7.6058850146815798e-18]
        Function value:   10629.964667114296
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.300247596781603e-01,   7.605885014681580e-18])      
  fk: 10629.964667114296  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53002,  7.6059e-18] fk: 10629.9646671       

        Parameter values: [0.53002475967816032, 3.8249888698637412e-18]
        Function value:   10629.964667114296
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53002475967816032, 3.8249888698637412e-18]
Function value:   10629.964667114296
Iterations:       8
Function calls:   41
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10629.9646671 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 5192.4133261059078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 5192.41332611       

        Parameter values: [0.5966716945871211, 0.094660994759764916]
        Function value:   4744.1654054224227
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.596671694587121,  0.094660994759765])                
  fk: 5242.7401565746595  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59667,    0.094661] fk: 5242.02753215       

        Parameter values: [0.60197164500792599, 1.3114664147871407e-05]
        Function value:   5192.3247465832492
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.019716450079260e-01,   1.311466414787141e-05])      
  fk: 5192.3317313098687  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60197,  1.3115e-05] fk: 5192.32479818       

        Parameter values: [0.60197237933239789, 9.0853857649286394e-10]
        Function value:   5192.3247637850754
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.019723793323979e-01,   9.085385764928639e-10])      
  fk: 5192.3247642677616  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60197,  9.0854e-10] fk: 5192.32476379       

        Parameter values: [0.60197237938327108, 3.1471485242786189e-14]
        Function value:   5192.3247637850754
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60197237938327108, 3.1471485242786189e-14]
Function value:   5192.3247637850918
Iterations:       6
Function calls:   34
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.32476379 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 44841.325604612859  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 44841.3256046       

        Parameter values: [0.44773807888737549, 0.051249421979331945]
        Function value:   43559.975523299807
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.447738078887375,  0.051249421979332])                
  fk: 43941.144580432345  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44774,    0.051249] fk: 43881.729109        

        Parameter values: [0.45092714805352968, 6.9367921688275047e-05]
        Function value:   43691.656192549621
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.509271480535297e-01,   6.936792168827505e-05])      
  fk: 43691.993883986601  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45093,  6.9368e-05] fk: 43691.6576361       

        Parameter values: [0.45093146749572022, 4.6977771885991886e-08]
        Function value:   43691.656674392223
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.509314674957202e-01,   4.697777188599189e-08])      
  fk: 43691.65690275938   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45093,  4.6978e-08] fk: 43691.6566744       

        Parameter values: [0.45093147042195042, 1.5912675940626598e-11]
        Function value:   43691.656674392674
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.509314704219504e-01,   1.591267594062660e-11])      
  fk: 43691.656674470025  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45093,  1.5913e-11] fk: 43691.6566744       

        Parameter values: [0.45093147042294174, 2.6940928083021306e-15]
        Function value:   43691.65667439266
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.509314704229417e-01,   2.694092808302131e-15])      
  fk: 43691.656674392674  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45093,  2.6941e-15] fk: 43691.6566744       

        Parameter values: [0.45093147042294185, 1.3475858385841866e-15]
        Function value:   43691.65667439266
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45093147042294185, 1.3475858385841866e-15]
Function value:   43691.656674392667
Iterations:       7
Function calls:   29
Gradient calls:   13
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (43691.6566744 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 36148.358718026713  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 36148.358718        

        Parameter values: [0.45823070833255303, 0.061341831137667363]
        Function value:   35451.031448747308
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.458230708332553,  0.061341831137667])                
  fk: 35876.308747757874  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45823,    0.061342] fk: 35838.9473973       

        Parameter values: [0.46203444216158673, 6.4357935490411827e-05]
        Function value:   35639.567244474543
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.620344421615867e-01,   6.435793549041183e-05])      
  fk: 35639.815626273936  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46203,  6.4358e-05] fk: 35639.5684871       

        Parameter values: [0.46203843501504005, 3.3778888921395735e-08]
        Function value:   35639.567659103712
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.620384350150400e-01,   3.377888892139573e-08])      
  fk: 35639.567789251698  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46204,  3.3779e-08] fk: 35639.5676591       

        Parameter values: [0.46203843711127823, 8.8669156824006378e-12]
        Function value:   35639.567659103945
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.620384371112782e-01,   8.866915682400638e-12])      
  fk: 35639.567659138105  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46204,  8.8669e-12] fk: 35639.5676591       

        Parameter values: [0.46203843711182857, 1.1636864660873182e-15]
        Function value:   35639.567659103945
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46203843711182857, 1.1636864660873182e-15]
Function value:   35639.567659103952
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (35639.5676591 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7,  0. ])                                            
  fk: 24069.884505342136  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,           0] fk: 24069.8845053       

        Parameter values: [0.68148126144174326, 0.073658472662077534]
        Function value:   23779.209382181682
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.681481261441743,  0.073658472662078])                
  fk: 24244.515579056955  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.68148,    0.073658] fk: 24227.1686775       

        Parameter values: [0.68519447262020527, 5.2882064470445231e-05]
        Function value:   24050.87743313719
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.851944726202053e-01,   5.288206447044523e-05])      
  fk: 24051.016452920609  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.68519,  5.2882e-05] fk: 24050.8782721       

        Parameter values: [0.68519713942524363, 1.8989783933733592e-08]
        Function value:   24050.877712989302
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.851971394252436e-01,   1.898978393373359e-08])      
  fk: 24050.877762810378  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6852,   1.899e-08] fk: 24050.877713        

        Parameter values: [0.6851971403830569, 3.410198613554462e-12]
        Function value:   24050.877712989375
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.851971403830569e-01,   3.410198613554462e-12])      
  fk: 24050.877712998321  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6852,  3.4102e-12] fk: 24050.877713        

        Parameter values: [0.6851971403832291, 3.0630715899769519e-16]
        Function value:   24050.877712989375
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.6851971403832291, 3.0630715899769519e-16]
Function value:   24050.877712989375
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24050.877713 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 7439.6317790309622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 7439.63177903       

        Parameter values: [0.47338010578976603, 0.090766206022339743]
        Function value:   6999.8259598562045
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.473380105789766,  0.09076620602234 ])                
  fk: 7495.5628122951111  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47338,    0.090766] fk: 7493.43123851       

        Parameter values: [0.47872591039106283, 2.5972493567684527e-05]
        Function value:   7411.9869101109034
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.787259103910628e-01,   2.597249356768453e-05])      
  fk: 7412.0108251193305  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873,  2.5972e-05] fk: 7411.98711248       

        Parameter values: [0.47872744029684433, 3.7165095835744912e-09]
        Function value:   7411.986977587253
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.787274402968443e-01,   3.716509583574491e-09])      
  fk: 7411.9869809996935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873,  3.7165e-09] fk: 7411.98697759       

        Parameter values: [0.47872744051578037, 2.6592451624821741e-13]
        Function value:   7411.9869775872539
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.787274405157804e-01,   2.659245162482174e-13])      
  fk: 7411.9869775874977  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873,  2.6592e-13] fk: 7411.98697759       

        Parameter values: [0.47872744051579613, 9.4696806708463203e-18]
        Function value:   7411.9869775872521
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.787274405157961e-01,   9.469680670846320e-18])      
  fk: 7411.9869775872521  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873,  9.4697e-18] fk: 7411.98697759       

        Parameter values: [0.47872744051579619, 7.4959870986913934e-20]
        Function value:   7411.9869775872512
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.787274405157962e-01,   7.495987098691393e-20])      
  fk: 7411.9869775872512  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47873,   7.496e-20] fk: 7411.98697759       

        Parameter values: [0.47872744051579619, 4.7295358133202022e-20]
        Function value:   7411.9869775872512
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47872744051579619, 4.7295358133202022e-20]
Function value:   7411.9869775872512
Iterations:       10
Function calls:   46
Gradient calls:   17
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7411.98697759 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 16299.201159094642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 16299.2011591       

        Parameter values: [0.37814077749415054, 0.083206740520119379]
        Function value:   15731.38824222728
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.378140777494151,  0.083206740520119])                
  fk: 16217.287564029351  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37814,    0.083207] fk: 16210.2372249       

        Parameter values: [0.38363512950169537, 3.6549740537861913e-05]
        Function value:   16077.860444104106
        Iterations:       3
        Function calls:   26
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  3.836351295016954e-01,   3.654974053786191e-05])      
  fk: 16077.92168944343   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38364,   3.655e-05] fk: 16077.8608449       

        Parameter values: [0.38363754350390983, 8.0292593640667368e-09]
        Function value:   16077.860577751155
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.836375435039098e-01,   8.029259364066737e-09])      
  fk: 16077.860591176192  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38364,  8.0293e-09] fk: 16077.8605778       

        Parameter values: [0.38363754403427697, 8.8203205101691799e-13]
        Function value:   16077.860577751168
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.836375440342770e-01,   8.820320510169180e-13])      
  fk: 16077.860577752643  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38364,  8.8203e-13] fk: 16077.8605778       

        Parameter values: [0.38363754403429701, 5.7885013441315136e-13]
        Function value:   16077.860577751166
        Iterations:       2
        Function calls:   10
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  3.836375440342970e-01,   5.788501344131514e-13])      
  fk: 16077.860577752133  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38364,  5.7885e-13] fk: 16077.8605778       

        Parameter values: [0.38363754403431133, 3.6178933712974442e-13]
        Function value:   16077.860577751166
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38363754403431133, 3.6178933712974442e-13]
Function value:   16077.860577751771
Iterations:       9
Function calls:   50
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16077.8605778 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 42960.274055280024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 42960.2740553       

        Parameter values: [0.41528479302707633, 0.053835177295167153]
        Function value:   42524.09290237246
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.415284793027076,  0.053835177295167])                
  fk: 42917.533359604022  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41528,    0.053835] fk: 42864.2535882       

        Parameter values: [0.41875467180313547, 6.6900495263585297e-05]
        Function value:   42669.364378094935
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.187546718031355e-01,   6.690049526358530e-05])      
  fk: 42669.672775477578  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41875,    6.69e-05] fk: 42669.3657208       

        Parameter values: [0.41875898647148085, 4.1594169109253776e-08]
        Function value:   42669.364826219091
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.187589864714809e-01,   4.159416910925378e-08])      
  fk: 42669.365017680953  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41876,  4.1594e-08] fk: 42669.3648262       

        Parameter values: [0.41875898915488174, 1.2934230494572839e-11]
        Function value:   42669.36482621944
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.187589891548817e-01,   1.293423049457284e-11])      
  fk: 42669.364826278979  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41876,  1.2934e-11] fk: 42669.3648262       

        Parameter values: [0.4187589891557163, 2.0118851521885768e-15]
        Function value:   42669.36482621944
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4187589891557163, 2.0118851521885768e-15]
Function value:   42669.364826219447
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42669.3648262 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 44008.879551231919  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 44008.8795512       

        Parameter values: [0.41932129650348693, 0.052418597534066441]
        Function value:   43550.807193214918
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.419321296503487,  0.052418597534066])                
  fk: 43937.607700183667  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41932,    0.052419] fk: 43881.0079537       

        Parameter values: [0.42265144766127616, 6.7631245031455484e-05]
        Function value:   43688.54717508825
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.226514476612762e-01,   6.763124503145548e-05])      
  fk: 43688.868516638635  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42265,  6.7631e-05] fk: 43688.5485473       

        Parameter values: [0.42265574704481323, 4.3657577040466847e-08]
        Function value:   43688.547633077294
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.226557470448132e-01,   4.365757704046685e-08])      
  fk: 43688.547840215266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42266,  4.3658e-08] fk: 43688.5476331       

        Parameter values: [0.42265574982106358, 1.4095553062741281e-11]
        Function value:   43688.547633077687
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.226557498210636e-01,   1.409555306274128e-11])      
  fk: 43688.547633144568  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42266,  1.4096e-11] fk: 43688.5476331       

        Parameter values: [0.42265574982196008, 2.2753737248615264e-15]
        Function value:   43688.547633077687
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42265574982196008, 2.2753737248615264e-15]
Function value:   43688.547633077695
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (43688.5476331 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 2078.421494703497   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 2078.4214947        

        Parameter values: [0.43190139950839523, 0.097870779870126628]
        Function value:   1568.3457975485574
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.431901399508395,  0.097870779870127])                
  fk: 2068.1191186304845  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4319,    0.097871] fk: 2068.00577917       

        Parameter values: [0.43804060563511266, 5.4535444076363845e-06]
        Function value:   2047.3336494323194
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.380406056351127e-01,   5.453544407636385e-06])      
  fk: 2047.3348076378577  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,  5.4535e-06] fk: 2047.33365835       

        Parameter values: [0.43804094773278573, 1.5194512236754048e-10]
        Function value:   2047.3336524065992
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.380409477327857e-01,   1.519451223675405e-10])      
  fk: 2047.333652438786   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,  1.5195e-10] fk: 2047.33365241       

        Parameter values: [0.43804094773282298, 1.513515950019578e-10]
        Function value:   2047.3336524065992
        Iterations:       1
        Function calls:   11
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43804094773282298, 1.513515950019578e-10]
Function value:   2047.3336524386602
Iterations:       7
Function calls:   56
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2047.33365244 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 7079.3195445170932  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 7079.31954452       

        Parameter values: [0.41956624106246349, 0.092120655683275418]
        Function value:   6593.817256849874
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.419566241062463,  0.092120655683275])                
  fk: 7090.713053506799   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41957,    0.092121] fk: 7089.16095184       

        Parameter values: [0.42538661614224582, 2.0218987205742299e-05]
        Function value:   7018.3142756615634
        Iterations:       4
        Function calls:   38
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.253866161422458e-01,   2.021898720574230e-05])      
  fk: 7018.3301660170118  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42539,  2.0219e-05] fk: 7018.3143983        

        Parameter values: [0.42538789376021835, 2.2191131224292302e-09]
        Function value:   7018.3143165512838
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.253878937602183e-01,   2.219113122429230e-09])      
  fk: 7018.3143182908252  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42539,  2.2191e-09] fk: 7018.31431655       

        Parameter values: [0.42538789390044962, 1.2178491632756454e-13]
        Function value:   7018.3143165512847
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.253878939004496e-01,   1.217849163275645e-13])      
  fk: 7018.3143165513802  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42539,  1.2178e-13] fk: 7018.31431655       

        Parameter values: [0.42538789390045151, 9.1339547819621234e-14]
        Function value:   7018.3143165512847
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42538789390045151, 9.1339547819621234e-14]
Function value:   7018.3143165513566
Iterations:       8
Function calls:   52
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7018.31431655 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 8072.3118890496171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 8072.31188905       

        Parameter values: [0.4376539837972625, 0.091650725613865808]
        Function value:   7503.4796380396847
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.437653983797263,  0.091650725613866])                
  fk: 7999.9941189009369  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43765,    0.091651] fk: 7998.25135933       

        Parameter values: [0.44337493827681695, 2.0029837106607957e-05]
        Function value:   7923.6559882275687
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.433749382768170e-01,   2.002983710660796e-05])      
  fk: 7923.6726715687228  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44337,   2.003e-05] fk: 7923.65610859       

        Parameter values: [0.44337618870127848, 2.1889527673706684e-09]
        Function value:   7923.6560283557747
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.433761887012785e-01,   2.188952767370668e-09])      
  fk: 7923.6560301746213  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338,   2.189e-09] fk: 7923.65602836       

        Parameter values: [0.44337618883793806, 1.1961600543207566e-13]
        Function value:   7923.6560283557756
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.433761888379381e-01,   1.196160054320757e-13])      
  fk: 7923.6560283558747  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338,  1.1962e-13] fk: 7923.65602836       

        Parameter values: [0.44337618883794544, 3.2423278489356653e-18]
        Function value:   7923.6560283557747
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.433761888379454e-01,   3.242327848935665e-18])      
  fk: 7923.6560283557747  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338,  3.2423e-18] fk: 7923.65602836       

        Parameter values: [0.4433761888379455, 2.9065078714327396e-20]
        Function value:   7923.6560283557719
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([  4.433761888379455e-01,   2.906507871432740e-20])      
  fk: 7923.6560283557719  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44338,  2.9065e-20] fk: 7923.65602836       

        Parameter values: [0.4433761888379455, 1.127388341226148e-20]
        Function value:   7923.6560283557719
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4433761888379455, 1.127388341226148e-20]
Function value:   7923.6560283557719
Iterations:       11
Function calls:   50
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (7923.65602836 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7,  0. ])                                            
  fk: 15467.960998330909  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,           0] fk: 15467.9609983       

        Parameter values: [0.6980556714091708, 0.083402083628643778]
        Function value:   15119.614931679518
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.698055671409171,  0.083402083628644])                
  fk: 15605.840390285992  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.69806,    0.083402] fk: 15598.9531196       

        Parameter values: [0.70216931152283468, 3.6998805246766728e-05]
        Function value:   15467.718887104418
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  7.021693115228347e-01,   3.699880524676673e-05])      
  fk: 15467.780160520791  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.70217,  3.6999e-05] fk: 15467.7192978       

        Parameter values: [0.70217113681939436, 8.2085197135781086e-09]
        Function value:   15467.71902405631
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.021711368193944e-01,   8.208519713578109e-09])      
  fk: 15467.719037619989  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.70217,  8.2085e-09] fk: 15467.7190241       

        Parameter values: [0.70217113722439783, 9.1066874321283432e-13]
        Function value:   15467.719024056325
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  7.021711372243978e-01,   9.106687432128343e-13])      
  fk: 15467.719024057829  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.70217,  9.1067e-13] fk: 15467.7190241       

        Parameter values: [0.70217113722444269, 5.014270575421647e-17]
        Function value:   15467.719024056323
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  7.021711372244427e-01,   5.014270575421647e-17])      
  fk: 15467.719024056323  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.70217,  5.0143e-17] fk: 15467.7190241       

        Parameter values: [0.70217113722444269, 2.515472804510596e-17]
        Function value:   15467.719024056323
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.70217113722444269, 2.515472804510596e-17]
Function value:   15467.719024056323
Iterations:       8
Function calls:   41
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (15467.7190241 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 1940.1941336102423  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 1940.19413361       

        Parameter values: [0.53748935239763052, 0.097925118344867307]
        Function value:   1442.0753830270141
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.537489352397631,  0.097925118344867])                
  fk: 1941.860126332874   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53749,    0.097925] fk: 1941.75249799       

        Parameter values: [0.54304059759091805, 5.66979309585703e-06]
        Function value:   1921.5973446858179
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.430405975909181e-01,   5.669793095857030e-06])      
  fk: 1921.5985178861308  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54304,  5.6698e-06] fk: 1921.59735433       

        Parameter values: [0.54304091901328044, 1.6414319853823951e-10]
        Function value:   1921.5973479006593
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.430409190132804e-01,   1.641431985382395e-10])      
  fk: 1921.5973479345309  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54304,  1.6414e-10] fk: 1921.5973479        

        Parameter values: [0.54304091902258589, 2.3760665931332054e-15]
        Function value:   1921.5973479006591
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.430409190225859e-01,   2.376066593133205e-15])      
  fk: 1921.5973479006595  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54304,  2.3761e-15] fk: 1921.5973479        

        Parameter values: [0.54304091902258589, 1.7820579548744532e-15]
        Function value:   1921.5973479006591
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54304091902258589, 1.7820579548744532e-15]
Function value:   1921.5973479006595
Iterations:       7
Function calls:   38
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1921.5973479 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 5970.1619642240858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 5970.16196422       

        Parameter values: [0.42393815702150239, 0.093625079800979324]
        Function value:   5453.8966761088386
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.423938157021502,  0.093625079800979])                
  fk: 5951.864695731645   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42394,    0.093625] fk: 5950.84870554       

        Parameter values: [0.42989761373171287, 1.6616055153715475e-05]
        Function value:   5892.3350224448022
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.298976137317129e-01,   1.661605515371548e-05])      
  fk: 5892.3455874380361  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4299,  1.6616e-05] fk: 5892.33510527       

        Parameter values: [0.42989867147659672, 1.4745930850992405e-09]
        Function value:   5892.3350500590295
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.298986714765967e-01,   1.474593085099241e-09])      
  fk: 5892.3350509941702  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4299,  1.4746e-09] fk: 5892.33505006       

        Parameter values: [0.42989867157047051, 6.5434419611011796e-14]
        Function value:   5892.3350500590295
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42989867157047051, 6.5434419611011796e-14]
Function value:   5892.3350500590714
Iterations:       6
Function calls:   33
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5892.33505006 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 3290.9784875968999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 3290.9784876        

        Parameter values: [0.47263706117523946, 0.096637560831398975]
        Function value:   2811.3041435526015
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.472637061175239,  0.096637560831399])                
  fk: 3310.7388436944743  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47264,    0.096638] fk: 3310.45619377       

        Parameter values: [0.47856230822863099, 9.0434389344046934e-06]
        Function value:   3278.3324453127329
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.785623082286310e-01,   9.043438934404693e-06])      
  fk: 3278.3354779356832  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47856,  9.0434e-06] fk: 3278.33246985       

        Parameter values: [0.47856286274508192, 4.2316679970540139e-10]
        Function value:   3278.332453491877
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.785628627450819e-01,   4.231667997054014e-10])      
  fk: 3278.3324536333989  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47856,  4.2317e-10] fk: 3278.33245349       

        Parameter values: [0.47856286277102994, 9.9007897729225235e-15]
        Function value:   3278.332453491877
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47856286277102994, 9.9007897729225235e-15]
Function value:   3278.3324534918802
Iterations:       6
Function calls:   33
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3278.33245349 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 7571.6909488564197  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 7571.69094886       

        Parameter values: [0.5456265570430997, 0.092671087819814923]
        Function value:   7065.2448126421668
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.5456265570431  ,  0.092671087819815])                
  fk: 7562.5591649549242  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54563,    0.092671] fk: 7561.21634111       

        Parameter values: [0.55071131302490972, 1.9285353335623742e-05]
        Function value:   7494.820057994817
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.507113130249097e-01,   1.928535333562374e-05])      
  fk: 7494.8341548684275  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55071,  1.9285e-05] fk: 7494.82016957       

        Parameter values: [0.55071237130017814, 2.0069018601404488e-09]
        Function value:   7494.8200951950457
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.507123713001781e-01,   2.006901860140449e-09])      
  fk: 7494.8200966581444  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55071,  2.0069e-09] fk: 7494.8200952        

        Parameter values: [0.55071237141031171, 1.0442789209535078e-13]
        Function value:   7494.8200951950439
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.507123714103117e-01,   1.044278920953508e-13])      
  fk: 7494.8200951951203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55071,  1.0443e-13] fk: 7494.8200952        

        Parameter values: [0.55071237141031737, 2.7506593043952479e-18]
        Function value:   7494.8200951950439
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.55071237141031737, 2.7506593043952479e-18]
Function value:   7494.8200951950439
Iterations:       7
Function calls:   36
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (7494.8200952 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 12331.48888232685   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 12331.4888823       

        Parameter values: [0.48581748269432351, 0.086825637682481124]
        Function value:   11947.342124389443
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.485817482694324,  0.086825637682481])                
  fk: 12438.66393326578   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48582,    0.086826] fk: 12434.3248377       

        Parameter values: [0.49102956832836353, 3.067535016474613e-05]
        Function value:   12324.543033021833
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.910295683283635e-01,   3.067535016474613e-05])      
  fk: 12324.58335174185   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49103,  3.0675e-05] fk: 12324.5433153       

        Parameter values: [0.49103141007469897, 5.419731919337038e-09]
        Function value:   12324.543127152796
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.910314100746990e-01,   5.419731919337038e-09])      
  fk: 12324.543134259691  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49103,  5.4197e-09] fk: 12324.5431272       

        Parameter values: [0.49103141040012804, 4.7882238523826398e-13]
        Function value:   12324.543127152803
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.910314104001280e-01,   4.788223852382640e-13])      
  fk: 12324.543127153431  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49103,  4.7882e-13] fk: 12324.5431272       

        Parameter values: [0.4910314104001568, 2.1164686904787168e-17]
        Function value:   12324.543127152796
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.910314104001568e-01,   2.116468690478717e-17])      
  fk: 12324.543127152796  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49103,  2.1165e-17] fk: 12324.5431272       

        Parameter values: [0.4910314104001568, 1.984324472781478e-17]
        Function value:   12324.543127152796
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4910314104001568, 1.984324472781478e-17]
Function value:   12324.543127152796
Iterations:       8
Function calls:   44
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12324.5431272 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 12954.017663935163  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 12954.0176639       

        Parameter values: [0.56284095460695605, 0.085310219345066343]
        Function value:   12522.793502377064
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.562840954606956,  0.085310219345066])                
  fk: 13012.004019592561  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56284,     0.08531] fk: 13006.6092782       

        Parameter values: [0.56751936845988038, 3.5682579204465465e-05]
        Function value:   12886.9895874781
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.675193684598804e-01,   3.568257920446546e-05])      
  fk: 12887.041877079626  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56752,  3.5683e-05] fk: 12886.9899695       

        Parameter values: [0.56752132570244596, 7.4640107805383493e-09]
        Function value:   12886.989714856014
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.675213257024460e-01,   7.464010780538349e-09])      
  fk: 12886.989725767204  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56752,   7.464e-09] fk: 12886.9897149       

        Parameter values: [0.56752132611190076, 7.8073539308381439e-13]
        Function value:   12886.98971485603
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.675213261119008e-01,   7.807353930838144e-13])      
  fk: 12886.989714857171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56752,  7.8074e-13] fk: 12886.9897149       

        Parameter values: [0.56752132611194361, 4.0667733892981573e-17]
        Function value:   12886.989714856029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.675213261119436e-01,   4.066773389298157e-17])      
  fk: 12886.989714856029  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56752,  4.0668e-17] fk: 12886.9897149       

        Parameter values: [0.56752132611194361, 1.9447517752987252e-20]
        Function value:   12886.989714856029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56752132611194361, 1.9447517752987252e-20]
Function value:   12886.989714856029
Iterations:       8
Function calls:   40
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12886.9897149 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 7816.8703095363035  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 7816.87030954       

        Parameter values: [0.5915948373360157, 0.090553425425031975]
        Function value:   7406.1397955594448
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.591594837336016,  0.090553425425032])                
  fk: 7901.6779069994227  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59159,    0.090553] fk: 7899.44696272       

        Parameter values: [0.59633557272270754, 2.5695268001008596e-05]
        Function value:   7816.3686178232538
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.963355727227075e-01,   2.569526800100860e-05])      
  fk: 7816.3928250251138  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59634,  2.5695e-05] fk: 7816.3688159        

        Parameter values: [0.59633691813566214, 3.6461375328280068e-09]
        Function value:   7816.3686838666708
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.963369181356621e-01,   3.646137532828007e-09])      
  fk: 7816.3686872922817  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59634,  3.6461e-09] fk: 7816.36868387       

        Parameter values: [0.59633691832658875, 2.5871030959219599e-13]
        Function value:   7816.3686838666772
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.963369183265887e-01,   2.587103095921960e-13])      
  fk: 7816.36868386692    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59634,  2.5871e-13] fk: 7816.36868387       

        Parameter values: [0.59633691832660229, 9.0422868949285271e-18]
        Function value:   7816.3686838666745
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.963369183266023e-01,   9.042286894928527e-18])      
  fk: 7816.3686838666745  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59634,  9.0423e-18] fk: 7816.36868387       

        Parameter values: [0.59633691832660218, 3.8260972407149101e-20]
        Function value:   7816.3686838666745
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59633691832660218, 3.8260972407149101e-20]
Function value:   7816.3686838666745
Iterations:       8
Function calls:   39
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.36868387 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 9714.3118966004258  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 9714.3118966        

        Parameter values: [0.46927687566978593, 0.089110051976737756]
        Function value:   9259.2573895418809
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.469276875669786,  0.089110051976738])                
  fk: 9753.3278411444135  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46928,     0.08911] fk: 9750.36306695       

        Parameter values: [0.47474609748691632, 2.7116183572158765e-05]
        Function value:   9656.5290901594781
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.747460974869163e-01,   2.711618357215877e-05])      
  fk: 9656.5585460137063  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47475,  2.7116e-05] fk: 9656.52931075       

        Parameter values: [0.47474776202405261, 4.1263543571753514e-09]
        Function value:   9656.5291637105984
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.747477620240526e-01,   4.126354357175351e-09])      
  fk: 9656.5291681817944  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47475,  4.1264e-09] fk: 9656.52916371       

        Parameter values: [0.4747477622773697, 3.1398453155628728e-13]
        Function value:   9656.5291637105984
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4747477622773697, 3.1398453155628728e-13]
Function value:   9656.5291637109385
Iterations:       6
Function calls:   34
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9656.52916371 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 10531.244816919614  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 10531.2448169       

        Parameter values: [0.58321948564837633, 0.088600184458278275]
        Function value:   10131.34534955225
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.583219485648376,  0.088600184458278])                
  fk: 10624.847559832986  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58322,      0.0886] fk: 10621.598665        

        Parameter values: [0.58820165068872732, 2.7209484166966762e-05]
        Function value:   10524.086060385918
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.882016506887273e-01,   2.720948416696676e-05])      
  fk: 10524.117004660364  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5882,  2.7209e-05] fk: 10524.0862825       

        Parameter values: [0.5882031809672551, 4.1787143771782346e-09]
        Function value:   10524.086134444262
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.882031809672551e-01,   4.178714377178235e-09])      
  fk: 10524.086139185176  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5882,  4.1787e-09] fk: 10524.0861344       

        Parameter values: [0.58820318120228654, 3.2089894984099611e-13]
        Function value:   10524.086134444264
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.882031812022865e-01,   3.208989498409961e-13])      
  fk: 10524.086134444628  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5882,   3.209e-13] fk: 10524.0861344       

        Parameter values: [0.58820318120229564, 1.6045570773741811e-13]
        Function value:   10524.086134444264
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58820318120229564, 1.6045570773741811e-13]
Function value:   10524.086134444446
Iterations:       7
Function calls:   38
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10524.0861344 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 19949.210139845221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 19949.2101398       

        Parameter values: [0.44761030694800219, 0.080108891158752069]
        Function value:   19075.647139826116
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.447610306948002,  0.080108891158752])                
  fk: 19555.8643292794    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44761,    0.080109] fk: 19545.972924        

        Parameter values: [0.45270553025732446, 4.0648504295066543e-05]
        Function value:   19396.844492620981
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.527055302573245e-01,   4.064850429506654e-05])      
  fk: 19396.925181773207  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45271,  4.0649e-05] fk: 19396.8449883       

        Parameter values: [0.45270811630942381, 1.0315460529207866e-08]
        Function value:   19396.844657934933
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.527081163094238e-01,   1.031546052920787e-08])      
  fk: 19396.844678369645  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45271,  1.0315e-08] fk: 19396.8446579       

        Parameter values: [0.45270811696577529, 1.309053731197892e-12]
        Function value:   19396.844657934958
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.527081169657753e-01,   1.309053731197892e-12])      
  fk: 19396.844657937552  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45271,  1.3091e-12] fk: 19396.8446579       

        Parameter values: [0.4527081169658585, 8.3334063615110281e-17]
        Function value:   19396.844657934958
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4527081169658585, 8.3334063615110281e-17]
Function value:   19396.844657934958
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19396.8446579 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 23392.735908891522  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 23392.7359089       

        Parameter values: [0.54451217224156467, 0.0757561247691238]
        Function value:   22827.858053211392
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.544512172241565,  0.075756124769124])                
  fk: 23298.469778900879  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54451,    0.075756] fk: 23283.7756417       

        Parameter values: [0.54885627358396971, 4.791692688164127e-05]
        Function value:   23115.170575282282
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  5.488562735839697e-01,   4.791692688164127e-05])      
  fk: 23115.286514878768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54886,  4.7917e-05] fk: 23115.1712641       

        Parameter values: [0.54885902216487714, 1.515889478461048e-08]
        Function value:   23115.170805030742
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.488590221648771e-01,   1.515889478461048e-08])      
  fk: 23115.170841636456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54886,  1.5159e-08] fk: 23115.170805        

        Parameter values: [0.5488590230345497, 2.3981961437205426e-12]
        Function value:   23115.170805030786
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.488590230345497e-01,   2.398196143720543e-12])      
  fk: 23115.170805036578  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54886,  2.3982e-12] fk: 23115.170805        

        Parameter values: [0.54885902303461853, 1.1991930196464808e-12]
        Function value:   23115.170805030786
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54885902303461853, 1.1991930196464808e-12]
Function value:   23115.170805033682
Iterations:       6
Function calls:   26
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23115.170805 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 1.,  0.])                                              
  fk: 11364.039435651424  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,           0] fk: 11364.0394357       

        Parameter values: [0.96225698476966792, 0.090882904997177508]
        Function value:   10849.353029847833
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.962256984769668,  0.090882904997178])                
  fk: 11651.400351152775  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.96226,    0.090883] fk: 11552.4240118       

        Parameter values: [0.9930670498217834, -0.00018630328801799885]
        Function value:   11358.038776832183
        Iterations:       4
        Function calls:   29
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  9.930670498217834e-01,  -1.863032880179988e-04])      
  fk: 11396.221329011099  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.99307,  -0.0001863] fk: 11372.468929        

        Parameter values: [0.99923653394089162, -2.3288781195099275e-05]
        Function value:   11363.908309726468
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.992365339408916e-01,  -2.328878119509927e-05])      
  fk: 11367.464019861247  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.99924, -2.3289e-05] fk: 11364.2583634       

        Parameter values: [0.99995550837176606, -1.357374375205025e-06]
        Function value:   11364.038594068485
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  9.999555083717661e-01,  -1.357374375205025e-06])      
  fk: 11364.238213451619  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.99996, -1.3574e-06] fk: 11364.0409717       

        Parameter values: [0.9999986646983291, -4.0738104195757398e-08]
        Function value:   11364.039434179498
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  9.999986646983291e-01,  -4.073810419575740e-08])      
  fk: 11364.045400027557  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1, -4.0738e-08] fk: 11364.0394385       

        Parameter values: [0.99999997965690635, -6.2063808267568471e-10]
        Function value:   11364.039435650748
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  9.999999796569063e-01,  -6.206380826756847e-10])      
  fk: 11364.039526517014  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1, -6.2064e-10] fk: 11364.0394357       

        Parameter values: [0.99999999984384869, -4.7639467273795105e-12]
        Function value:   11364.039435651424
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  9.999999998438487e-01,  -4.763946727379510e-12])      
  fk: 11364.039436348898  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1, -4.7639e-12] fk: 11364.0394357       

        Parameter values: [0.99999999988273613, -3.5775485942160093e-12]
        Function value:   11364.039435651424
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.99999999988273613, -3.5775485942160093e-12]
Function value:   11364.039436175202
Iterations:       13
Function calls:   56
Gradient calls:   21
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394362 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 18717.799326536191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 18717.7993265       

        Parameter values: [0.47273032061847975, 0.079861622472369914]
        Function value:   18325.778176566047
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.47273032061848,  0.07986162247237])                  
  fk: 18805.50046409378   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47273,    0.079862] fk: 18795.3616079       

        Parameter values: [0.4775711822611724, 4.3554735684234354e-05]
        Function value:   18645.019948947825
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.775711822611724e-01,   4.355473568423435e-05])      
  fk: 18645.107471417359  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47757,  4.3555e-05] fk: 18645.0205181       

        Parameter values: [0.47757382307853685, 1.1880127009708118e-08]
        Function value:   18645.020138752814
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.775738230785369e-01,   1.188012700970812e-08])      
  fk: 18645.020162573946  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47757,   1.188e-08] fk: 18645.0201388       

        Parameter values: [0.47757382379895269, 1.6204514926569065e-12]
        Function value:   18645.02013875284
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.775738237989527e-01,   1.620451492656907e-12])      
  fk: 18645.020138756088  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47757,  1.6205e-12] fk: 18645.0201388       

        Parameter values: [0.4775738237989775, 1.21180818420826e-12]
        Function value:   18645.020138752832
        Iterations:       3
        Function calls:   28
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 5       xk: array([  4.775738237989775e-01,   1.211808184208260e-12])      
  fk: 18645.020138755262  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47757,  1.2118e-12] fk: 18645.0201388       

        Parameter values: [0.4775738237989775, 1.2113644253229503e-12]
        Function value:   18645.020138752832
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4775738237989775, 1.2113644253229503e-12]
Function value:   18645.020138755262
Iterations:       9
Function calls:   65
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18645.0201388 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 30920.456720713282  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 30920.4567207       

        Parameter values: [0.44421231568478403, 0.067968398160427171]
        Function value:   29879.710438358776
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.444212315684784,  0.067968398160427])                
  fk: 30328.409262538327  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44421,    0.067968] fk: 30302.7586746       

        Parameter values: [0.44848764295906701, 5.75570451322319e-05]
        Function value:   30111.086801799542
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.484876429590670e-01,   5.755704513223190e-05])      
  fk: 30111.27083495347   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849,  5.7557e-05] fk: 30111.0877956       

        Parameter values: [0.44849126492819463, 2.4380571028533222e-08]
        Function value:   30111.087133361536
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.484912649281946e-01,   2.438057102853322e-08])      
  fk: 30111.087211175636  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849,  2.4381e-08] fk: 30111.0871334       

        Parameter values: [0.44849126646274845, 5.164773321567698e-12]
        Function value:   30111.087133361656
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.484912664627485e-01,   5.164773321567698e-12])      
  fk: 30111.08713337814   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849,  5.1648e-12] fk: 30111.0871334       

        Parameter values: [0.44849126646307352, 5.4730003797769672e-16]
        Function value:   30111.087133361652
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.484912664630735e-01,   5.473000379776967e-16])      
  fk: 30111.087133361652  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849,   5.473e-16] fk: 30111.0871334       

        Parameter values: [0.44849126646307358, -1.1378844563627063e-19]
        Function value:   30111.087133361649
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.484912664630736e-01,  -1.137884456362706e-19])      
  fk: 30111.087133361649  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44849, -1.1379e-19] fk: 30111.0871334       

        Parameter values: [0.44849126646307358, -9.7059879633740215e-20]
        Function value:   30111.087133361649
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44849126646307358, -9.7059879633740215e-20]
Function value:   30111.087133361649
Iterations:       9
Function calls:   37
Gradient calls:   16
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30111.0871334 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 11700.145573857024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 11700.1455739       

        Parameter values: [0.46265458330175724, 0.088335377247912239]
        Function value:   11214.259106654947
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.462654583301757,  0.088335377247912])                
  fk: 11707.455935457521  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46265,    0.088335] fk: 11704.0543499       

        Parameter values: [0.46810693993320729, 2.6234944960863878e-05]
        Function value:   11604.647797707514
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.681069399332073e-01,   2.623494496086388e-05])      
  fk: 11604.67833095387   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46811,  2.6235e-05] fk: 11604.6480042       

        Parameter values: [0.46810855948275809, 3.8963696064221601e-09]
        Function value:   11604.647866555197
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.681085594827581e-01,   3.896369606422160e-09])      
  fk: 11604.647871079716  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46811,  3.8964e-09] fk: 11604.6478666       

        Parameter values: [0.46810855972330861, 2.8936282741939616e-13]
        Function value:   11604.647866555199
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.681085597233086e-01,   2.893628274193962e-13])      
  fk: 11604.647866555535  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46811,  2.8936e-13] fk: 11604.6478666       

        Parameter values: [0.46810855972332638, 1.0730023925759269e-17]
        Function value:   11604.647866555199
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46810855972332638, 1.0730023925759269e-17]
Function value:   11604.647866555199
Iterations:       7
Function calls:   37
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11604.6478666 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 14239.465416915664  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 14239.4654169       

        Parameter values: [0.59114660983447953, 0.084109405188268802]
        Function value:   13884.170128655493
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.59114660983448 ,  0.084109405188269])                
  fk: 14371.544578481962  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59115,    0.084109] fk: 14365.2318034       

        Parameter values: [0.59533194217745367, 4.0538871603877299e-05]
        Function value:   14238.230700749475
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.953319421774537e-01,   4.053887160387730e-05])      
  fk: 14238.29495508774   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533,  4.0539e-05] fk: 14238.2311938       

        Parameter values: [0.59533395990125315, 9.7717742974099873e-09]
        Function value:   14238.230865168709
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.953339599012532e-01,   9.771774297409987e-09])      
  fk: 14238.230880617393  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533,  9.7718e-09] fk: 14238.2308652       

        Parameter values: [0.59533396038767816, 1.1778702673865604e-12]
        Function value:   14238.230865168729
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.953339603876782e-01,   1.177870267386560e-12])      
  fk: 14238.230865170592  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533,  1.1779e-12] fk: 14238.2308652       

        Parameter values: [0.59533396038773678, 7.0986057043585113e-17]
        Function value:   14238.230865168725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.953339603877368e-01,   7.098605704358511e-17])      
  fk: 14238.230865168725  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59533,  7.0986e-17] fk: 14238.2308652       

        Parameter values: [0.59533396038773678, 9.3682219230643257e-20]
        Function value:   14238.230865168725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59533396038773678, 9.3682219230643257e-20]
Function value:   14238.230865168725
Iterations:       8
Function calls:   39
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (14238.2308652 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 20313.628539618145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 20313.6285396       

        Parameter values: [0.4759559062688733, 0.076818297864331433]
        Function value:   19949.496501916281
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.475955906268873,  0.076818297864331])                
  fk: 20422.626936220939  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47596,    0.076818] fk: 20409.1921534       

        Parameter values: [0.48063625334120441, 5.0591739995456408e-05]
        Function value:   20244.937683390192
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.806362533412044e-01,   5.059173999545641e-05])      
  fk: 20245.054707702486  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,  5.0592e-05] fk: 20244.9384512       

        Parameter values: [0.48063933678495596, 1.6665087243431626e-08]
        Function value:   20244.937939511226
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.806393367849560e-01,   1.666508724343163e-08])      
  fk: 20244.937977975056  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,  1.6665e-08] fk: 20244.9379395       

        Parameter values: [0.48063933780082008, 2.7452194290282653e-12]
        Function value:   20244.937939511277
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.806393378008201e-01,   2.745219429028265e-12])      
  fk: 20244.937939517615  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,  2.7452e-12] fk: 20244.9379395       

        Parameter values: [0.48063933780090379, 1.3727229634235505e-12]
        Function value:   20244.937939511277
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48063933780090379, 1.3727229634235505e-12]
Function value:   20244.937939514446
Iterations:       6
Function calls:   26
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20244.9379395 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 35236.677125904709  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 35236.6771259       

        Parameter values: [0.5409094883151192, 0.063587176541036766]
        Function value:   34663.325550501017
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.540909488315119,  0.063587176541037])                
  fk: 35097.030864888337  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54091,    0.063587] fk: 35063.8835221       

        Parameter values: [0.54460199445436952, 6.015330859737017e-05]
        Function value:   34865.874499429396
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  5.446019944543695e-01,   6.015330859737017e-05])      
  fk: 34866.093172767985  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5446,  6.0153e-05] fk: 34865.875585        

        Parameter values: [0.54460548920887664, 2.8465903427979812e-08]
        Function value:   34865.87486161392
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.446054892088766e-01,   2.846590342797981e-08])      
  fk: 34865.874964923685  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54461,  2.8466e-08] fk: 34865.8748616       

        Parameter values: [0.54460549086306465, 6.7369477133114942e-12]
        Function value:   34865.874861614087
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.446054908630646e-01,   6.736947713311494e-12])      
  fk: 34865.874861638535  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54461,  6.7369e-12] fk: 34865.8748616       

        Parameter values: [0.54460549086345622, 7.9696527137810596e-16]
        Function value:   34865.874861614073
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.446054908634562e-01,   7.969652713781060e-16])      
  fk: 34865.874861614073  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54461,  7.9697e-16] fk: 34865.8748616       

        Parameter values: [0.54460549086345622, 3.9867231399786257e-16]
        Function value:   34865.874861614073
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54460549086345622, 3.9867231399786257e-16]
Function value:   34865.874861614073
Iterations:       8
Function calls:   32
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (34865.8748616 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 20677.429697391144  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 20677.4296974       

        Parameter values: [0.64460529316758408, 0.077289800953480259]
        Function value:   20192.573798374575
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.644605293167584,  0.07728980095348 ])                
  fk: 20666.786141337947  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64461,     0.07729] fk: 20653.8923128       

        Parameter values: [0.64856131079273727, 4.8771627139938475e-05]
        Function value:   20491.636419881386
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.485613107927373e-01,   4.877162713993848e-05])      
  fk: 20491.746943350245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64856,  4.8772e-05] fk: 20491.6371335       

        Parameter values: [0.64856380791795465, 1.5392861148437584e-08]
        Function value:   20491.636657898693
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.485638079179546e-01,   1.539286114843758e-08])      
  fk: 20491.636692705993  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64856,  1.5393e-08] fk: 20491.6366579       

        Parameter values: [0.64856380870619923, 2.4294614648698988e-12]
        Function value:   20491.636657898747
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.485638087061992e-01,   2.429461464869899e-12])      
  fk: 20491.636657904241  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64856,  2.4295e-12] fk: 20491.6366579       

        Parameter values: [0.64856380870632346, 1.9147987454128658e-16]
        Function value:   20491.636657898747
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.64856380870632346, 1.9147987454128658e-16]
Function value:   20491.636657898747
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20491.6366579 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 9093.2839991858255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 9093.28399919       

        Parameter values: [0.46019263208032424, 0.090089832328357697]
        Function value:   8593.8641774270745
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.460192632080324,  0.090089832328358])                
  fk: 9088.9536062630723  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46019,     0.09009] fk: 9086.49832068       

        Parameter values: [0.46570388279100444, 2.4831112748911668e-05]
        Function value:   8999.896774953062
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.657038827910044e-01,   2.483111274891167e-05])      
  fk: 8999.921321343727   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4657,  2.4831e-05] fk: 8999.89695993       

        Parameter values: [0.46570540204513816, 3.4225235497204723e-09]
        Function value:   8999.8968366284771
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.657054020451382e-01,   3.422523549720472e-09])      
  fk: 8999.8968400032572  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46571,  3.4225e-09] fk: 8999.89683663       

        Parameter values: [0.46570540225455437, 2.3588257135735778e-13]
        Function value:   8999.8968366284789
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.657054022545544e-01,   2.358825713573578e-13])      
  fk: 8999.8968366287118  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46571,  2.3588e-13] fk: 8999.89683663       

        Parameter values: [0.46570540225456891, 8.1453269663777991e-18]
        Function value:   8999.8968366284789
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46570540225456891, 8.1453269663777991e-18]
Function value:   8999.8968366284789
Iterations:       7
Function calls:   37
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (8999.89683663 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 3900.8876953943559  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 3900.88769539       

        Parameter values: [0.43600233004305711, 0.095964137066564537]
        Function value:   3354.7325684785496
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.436002330043057,  0.095964137066565])                
  fk: 3853.9181589976756  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [       0.436,    0.095964] fk: 3853.51095426       

        Parameter values: [0.44208056921015243, 1.0344420768104774e-05]
        Function value:   3815.2876179663158
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.420805692101524e-01,   1.034442076810477e-05])      
  fk: 3815.2917821320461  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208,  1.0344e-05] fk: 3815.28765007       

        Parameter values: [0.44208122444714432, 5.5756667023775365e-10]
        Function value:   3815.2876286681721
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.420812244471443e-01,   5.575666702377537e-10])      
  fk: 3815.2876288920447  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208,  5.5757e-10] fk: 3815.28762867       

        Parameter values: [0.44208122444723053, 5.5620599189379631e-10]
        Function value:   3815.2876286681712
        Iterations:       2
        Function calls:   25
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  4.420812244472305e-01,   5.562059918937963e-10])      
  fk: 3815.2876288914977  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208,  5.5621e-10] fk: 3815.28762867       

        Parameter values: [0.44208122450007958, -2.7809173479229246e-10]
        Function value:   3815.2876286681721
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.420812245000796e-01,  -2.780917347922925e-10])      
  fk: 3815.2876285565135  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44208, -2.7809e-10] fk: 3815.28762867       

        Parameter values: [0.44208122449127168, -1.3904680427107393e-10]
        Function value:   3815.2876286681721
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44208122449127168, -1.3904680427107393e-10]
Function value:   3815.2876286123424
Iterations:       10
Function calls:   77
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3815.28762861 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ])                                            
  fk: 46578.985307922849  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0] fk: 46578.9853079       

        Parameter values: [0.52683727810350456, 0.050056580581997023]
        Function value:   46222.979494715335
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.526837278103505,  0.050056580581997])                
  fk: 46598.26223755721   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52684,    0.050057] fk: 46535.903609        

        Parameter values: [0.52973598829457869, 6.7048590534333347e-05]
        Function value:   46348.598180010958
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  5.297359882945787e-01,   6.704859053433335e-05])      
  fk: 46348.932594047452  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52974,  6.7049e-05] fk: 46348.5995287       

        Parameter values: [0.52973987359162167, 4.4934414507075311e-08]
        Function value:   46348.598630164845
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.297398735916217e-01,   4.493441450707531e-08])      
  fk: 46348.598853979711  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52974,  4.4934e-08] fk: 46348.5986302       

        Parameter values: [0.52973987619633067, 1.5062049874719753e-11]
        Function value:   46348.598630165245
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.297398761963307e-01,   1.506204987471975e-11])      
  fk: 46348.598630240267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52974,  1.5062e-11] fk: 46348.5986302       

        Parameter values: [0.52973987619687646, 5.6498470640091746e-12]
        Function value:   46348.598630165237
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.297398761968765e-01,   5.649847064009175e-12])      
  fk: 46348.598630193381  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52974,  5.6498e-12] fk: 46348.5986302       

        Parameter values: [0.52973987619736773, -2.823423922084364e-12]
        Function value:   46348.598630165237
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52973987619736773, -2.823423922084364e-12]
Function value:   46348.598630151173
Iterations:       8
Function calls:   33
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (46348.5986302 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8,  0. ])                                            
  fk: 10582.654633330541  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,           0] fk: 10582.6546333       

        Parameter values: [0.79022753505471799, 0.088895357203283204]
        Function value:   10186.291356265638
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.790227535054718,  0.088895357203283])                
  fk: 10680.125701683502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79023,    0.088895] fk: 10677.0428744       

        Parameter values: [0.79408071612518083, 2.6158418306340605e-05]
        Function value:   10581.643119074522
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  7.940807161251808e-01,   2.615841830634060e-05])      
  fk: 10581.67209863738   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408,  2.6158e-05] fk: 10581.6433244       

        Parameter values: [0.79408185013214527, 3.849264801010949e-09]
        Function value:   10581.643187520949
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.940818501321453e-01,   3.849264801010949e-09])      
  fk: 10581.643191775278  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408,  3.8493e-09] fk: 10581.6431875       

        Parameter values: [0.79408185029902889, 2.832345723719842e-13]
        Function value:   10581.643187520953
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  7.940818502990289e-01,   2.832345723719842e-13])      
  fk: 10581.643187521266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408,  2.8323e-13] fk: 10581.6431875       

        Parameter values: [0.79408185029904121, 1.0440283976686652e-17]
        Function value:   10581.643187520949
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  7.940818502990412e-01,   1.044028397668665e-17])      
  fk: 10581.643187520949  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79408,   1.044e-17] fk: 10581.6431875       

        Parameter values: [0.79408185029904121, 5.278063081356591e-18]
        Function value:   10581.643187520949
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79408185029904121, 5.278063081356591e-18]
Function value:   10581.643187520949
Iterations:       8
Function calls:   41
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (10581.6431875 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ])                                            
  fk: 17740.124049677364  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0] fk: 17740.1240497       

        Parameter values: [0.61696855574496301, 0.08119264947769482]
        Function value:   17374.800844031666
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.616968555744963,  0.081192649477695])                
  fk: 17857.115022348222  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61697,    0.081193] fk: 17848.2721115       

        Parameter values: [0.62144031958458046, 4.0477941036658888e-05]
        Function value:   17704.741811619871
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.214403195845805e-01,   4.047794103665889e-05])      
  fk: 17704.81777605605   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.62144,  4.0478e-05] fk: 17704.7423032       

        Parameter values: [0.62144254950225697, 1.0092491404951301e-08]
        Function value:   17704.741975547953
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.214425495022570e-01,   1.009249140495130e-08])      
  fk: 17704.74199444753   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.62144,  1.0092e-08] fk: 17704.7419755       

        Parameter values: [0.62144255005831839, 1.2583526361070958e-12]
        Function value:   17704.741975547968
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.214425500583184e-01,   1.258352636107096e-12])      
  fk: 17704.741975550325  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.62144,  1.2584e-12] fk: 17704.7419755       

        Parameter values: [0.62144255005835314, 6.2921563651714043e-13]
        Function value:   17704.741975547968
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.62144255005835314, 6.2921563651714043e-13]
Function value:   17704.741975549146
Iterations:       6
Function calls:   26
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (17704.7419755 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.9,  0. ])                                            
  fk: 6893.4645091828224  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,           0] fk: 6893.46450918       

        Parameter values: [0.89628179823664667, 0.092490187752452019]
        Function value:   6465.5626664285173
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.896281798236647,  0.092490187752452])                
  fk: 6962.7428024288465  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89628,     0.09249] fk: 6961.33287043       

        Parameter values: [0.89966109950380924, 1.9236308001663728e-05]
        Function value:   6893.4623249265815
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  8.996610995038092e-01,   1.923630800166373e-05])      
  fk: 6893.4767340291692  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89966,  1.9236e-05] fk: 6893.46243594       

        Parameter values: [0.8996618024112446, 2.0006123835714996e-09]
        Function value:   6893.462361937839
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.996618024112446e-01,   2.000612383571500e-09])      
  fk: 6893.4623634325635  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89966,  2.0006e-09] fk: 6893.46236194       

        Parameter values: [0.89966180248435201, 1.0403872348188699e-13]
        Function value:   6893.4623619378353
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.996618024843520e-01,   1.040387234818870e-13])      
  fk: 6893.4623619379126  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89966,  1.0404e-13] fk: 6893.46236194       

        Parameter values: [0.89966180248435601, 2.8880331832863613e-18]
        Function value:   6893.4623619378326
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.996618024843560e-01,   2.888033183286361e-18])      
  fk: 6893.4623619378326  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.89966,   2.888e-18] fk: 6893.46236194       

        Parameter values: [0.89966180248435601, 1.4522123651246548e-18]
        Function value:   6893.4623619378326
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.89966180248435601, 1.4522123651246548e-18]
Function value:   6893.4623619378326
Iterations:       9
Function calls:   55
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6893.46236194 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.8,  0. ])                                            
  fk: 13039.881497068545  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,           0] fk: 13039.8814971       

        Parameter values: [0.78893589839970257, 0.086910334172353956]
        Function value:   12660.058168396345
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.788935898399703,  0.086910334172354])                
  fk: 13151.491200822373  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.78894,     0.08691] fk: 13147.207717        

        Parameter values: [0.7925186440108134, 3.092036486067231e-05]
        Function value:   13037.997207618131
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  7.925186440108134e-01,   3.092036486067231e-05])      
  fk: 13038.037585735565  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79252,   3.092e-05] fk: 13037.9974944       

        Parameter values: [0.79251991888234974, 5.5012966770112324e-09]
        Function value:   13037.997303259051
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.925199188823497e-01,   5.501296677011232e-09])      
  fk: 13037.997310426039  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79252,  5.5013e-09] fk: 13037.9973033       

        Parameter values: [0.79251991910919273, 4.894340127152e-13]
        Function value:   13037.997303259057
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  7.925199191091927e-01,   4.894340127152000e-13])      
  fk: 13037.997303259695  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79252,  4.8943e-13] fk: 13037.9973033       

        Parameter values: [0.79251991910920272, 2.447277936895061e-13]
        Function value:   13037.997303259057
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79251991910920272, 2.447277936895061e-13]
Function value:   13037.997303259375
Iterations:       7
Function calls:   38
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (13037.9973033 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ])                                            
  fk: 22774.738307336876  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0] fk: 22774.7383073       

        Parameter values: [0.42346452805084717, 0.094305156468167867]
        Function value:   22308.865258912665
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.423464528050847,  0.094305156468168])                
  fk: 22807.243696770063  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42346,    0.094305] fk: 22806.4329157       

        Parameter values: [0.42861418983014665, 1.6215499848084344e-05]
        Function value:   22753.691306261982
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.286141898301467e-01,   1.621549984808434e-05])      
  fk: 22753.700514441181  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42861,  1.6215e-05] fk: 22753.6913851       

        Parameter values: [0.42861507537578059, 1.3942240979855235e-09]
        Function value:   22753.691332560749
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.286150753757806e-01,   1.394224097985523e-09])      
  fk: 22753.691333350216  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42862,  1.3942e-09] fk: 22753.6913326       

        Parameter values: [0.42861507545192401, 5.994119194621022e-14]
        Function value:   22753.691332560749
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42861507545192401, 5.994119194621022e-14]
Function value:   22753.691332560782
Iterations:       6
Function calls:   33
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (22753.6913326 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.3,  0. ])                                            
  fk: 28735.475175420914  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3,           0] fk: 28735.4751754       

        Parameter values: [0.33098652466967954, 0.09767665415464559]
        Function value:   28239.810555374192
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.33098652466968 ,  0.097676654154646])                
  fk: 28739.540658578335  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33099,    0.097677] fk: 28739.4057102       

        Parameter values: [0.33652455579374141, 7.8275592994803914e-06]
        Function value:   28716.923450696759
        Iterations:       4
        Function calls:   36
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  3.365245557937414e-01,   7.827559299480391e-06])      
  fk: 28716.925263182427  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33652,  7.8276e-06] fk: 28716.9234691       

        Parameter values: [0.33652499961529164, 3.1365294044098148e-10]
        Function value:   28716.923456824319
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.365249996152916e-01,   3.136529404409815e-10])      
  fk: 28716.9234568967    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33652,  3.1365e-10] fk: 28716.9234568       

        Parameter values: [0.33652499963307586, 6.2845785321711412e-15]
        Function value:   28716.923456824319
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.33652499963307586, 6.2845785321711412e-15]
Function value:   28716.923456824319
Iterations:       7
Function calls:   45
Gradient calls:   11
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (28716.9234568 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.2,  0. ])                                            
  fk: 42512.008531431828  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.2,           0] fk: 42512.0085314       

        Parameter values: [0.21942410034810275, 0.098884436290641559]
        Function value:   42016.418332784298
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.219424100348103,  0.098884436290642])                
  fk: 42516.356108664811  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21942,    0.098884] fk: 42516.3249966       

        Parameter values: [0.22517423133239092, 5.2427229187261039e-06]
        Function value:   42505.37676218024
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  2.251742313323909e-01,   5.242722918726104e-06])      
  fk: 42505.377344290762  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22517,  5.2427e-06] fk: 42505.3767704       

        Parameter values: [0.2251745362048643, 1.3898482559218124e-10]
        Function value:   42505.376764928995
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.251745362048643e-01,   1.389848255921812e-10])      
  fk: 42505.376764944354  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22517,  1.3898e-10] fk: 42505.3767649       

        Parameter values: [0.22517453621294695, 1.8418374189853439e-15]
        Function value:   42505.376764928995
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.22517453621294695, 1.8418374189853439e-15]
Function value:   42505.376764928995
Iterations:       6
Function calls:   32
Gradient calls:   10
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (42505.3767649 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.3,  0. ])                                            
  fk: 110854.85108128165  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3,           0] fk: 110854.851081       

        Parameter values: [0.28412687385412039, 0.086044590546191568]
        Function value:   110469.79585006683
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.28412687385412 ,  0.086044590546192])                
  fk: 110960.05817741566  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28413,    0.086045] fk: 110955.189341       

        Parameter values: [0.28723926278343404, 8.2999669402460813e-05]
        Function value:   110840.69359543684
        Iterations:       2
        Function calls:   11
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  2.872392627834340e-01,   8.299966940246081e-05])      
  fk: 110840.80873597943  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28724,     8.3e-05] fk: 110840.695662       

        Parameter values: [0.28724226648074347, 4.0050567159502005e-08]
        Function value:   110840.69428499619
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.872422664807435e-01,   4.005056715950200e-08])      
  fk: 110840.69434022324  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28724,  4.0051e-08] fk: 110840.694285       

        Parameter values: [0.28724226793049401, 9.6653088334077669e-12]
        Function value:   110840.69428499651
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.872422679304940e-01,   9.665308833407767e-12])      
  fk: 110840.69428500984  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28724,  9.6653e-12] fk: 110840.694285       

        Parameter values: [0.28724226793084395, 1.166520442846019e-15]
        Function value:   110840.69428499651
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.28724226793084395, 1.166520442846019e-15]
Function value:   110840.69428499651
Iterations:       6
Function calls:   23
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (110840.694285 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm3\\results.bz2' for writing.

relax> pipe.create(pipe_name='m4', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m4', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 52402.8136361    
   
k: 1        xk: [         0.1,           0,           0] fk: 38975.5634183    
   
k: 2        xk: [         0.2,           0,           0] fk: 29623.7474228    
   
k: 3        xk: [         0.3,           0,           0] fk: 22920.3391391    
   
k: 4        xk: [         0.4,           0,           0] fk: 18865.338567     
   
k: 5        xk: [         0.5,           0,           0] fk: 17458.7457067    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (17458.7457067 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 67957.530941     
   
k: 1        xk: [         0.1,           0,           0] fk: 54901.963067     
   
k: 2        xk: [         0.2,           0,           0] fk: 45137.3814197    
   
k: 3        xk: [         0.3,           0,           0] fk: 37382.4698415    
   
k: 4        xk: [         0.4,           0,           0] fk: 31637.2283324    
   
k: 5        xk: [         0.5,           0,           0] fk: 27901.6568925    
   
k: 6        xk: [         0.6,           0,           0] fk: 26175.7555218    
   
k: 17       xk: [         0.6,          50,           0] fk: 26042.3938583    
   
k: 18       xk: [         0.7,          50,           0] fk: 25350.1896182    
   
k: 117      xk: [         0.7,         500,           0] fk: 25066.2281615    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (25066.2281615 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 46589.4290117    
   
k: 1        xk: [         0.1,           0,           0] fk: 33988.0111311    
   
k: 2        xk: [         0.2,           0,           0] fk: 24843.9456251    
   
k: 3        xk: [         0.3,           0,           0] fk: 18614.0379492    
   
k: 4        xk: [         0.4,           0,           0] fk: 15298.2881032    
   
k: 5        xk: [         0.5,           0,           0] fk: 14896.6960872    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14896.6960872 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34435.2127284    
   
k: 1        xk: [         0.1,           0,           0] fk: 23005.616111     
   
k: 2        xk: [         0.2,           0,           0] fk: 15678.1163394    
   
k: 3        xk: [         0.3,           0,           0] fk: 11189.9738566    
   
k: 4        xk: [         0.4,           0,           0] fk: 9541.18866251    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9541.18866251 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 31683.9847331    
   
k: 1        xk: [         0.1,           0,           0] fk: 23514.0970791    
   
k: 2        xk: [         0.2,           0,           0] fk: 18109.8764812    
   
k: 3        xk: [         0.3,           0,           0] fk: 14192.8198782    
   
k: 4        xk: [         0.4,           0,           0] fk: 11762.9272701    
   
k: 5        xk: [         0.5,           0,           0] fk: 10820.1986569    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10820.1986569 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 24164.5370766    
   
k: 1        xk: [         0.1,           0,           0] fk: 18020.3030145    
   
k: 2        xk: [         0.2,           0,           0] fk: 14225.3687247    
   
k: 3        xk: [         0.3,           0,           0] fk: 11414.8705587    
   
k: 4        xk: [         0.4,           0,           0] fk: 9588.80851655    
   
k: 5        xk: [         0.5,           0,           0] fk: 8747.18259812    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8747.18259812 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 11277.3525666    
   
k: 1        xk: [         0.1,           0,           0] fk: 7687.02751494    
   
k: 2        xk: [         0.2,           0,           0] fk: 6336.83368525    
   
k: 3        xk: [         0.3,           0,           0] fk: 5328.50982932    
   
k: 4        xk: [         0.4,           0,           0] fk: 4662.05594716    
   
k: 5        xk: [         0.5,           0,           0] fk: 4337.47203876    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (4337.47203876 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 7097.25569836    
   
k: 1        xk: [         0.1,           0,           0] fk: 4446.49286775    
   
k: 2        xk: [         0.2,           0,           0] fk: 3731.97185812    
   
k: 3        xk: [         0.3,           0,           0] fk: 3177.60917292    
   
k: 4        xk: [         0.4,           0,           0] fk: 2783.40481212    
   
k: 5        xk: [         0.5,           0,           0] fk: 2549.35877574    
   
k: 6        xk: [         0.6,           0,           0] fk: 2475.47106376    
   
k: 18       xk: [         0.7,          50,           0] fk: 1871.53032166    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (1871.53032166 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 15125.8852796    
   
k: 1        xk: [         0.1,           0,           0] fk: 9179.68854377    
   
k: 2        xk: [         0.2,           0,           0] fk: 7793.61580502    
   
k: 3        xk: [         0.3,           0,           0] fk: 6738.72046287    
   
k: 4        xk: [         0.4,           0,           0] fk: 6015.00251731    
   
k: 5        xk: [         0.5,           0,           0] fk: 5622.46196835    
   
k: 6        xk: [         0.6,           0,           0] fk: 5561.09881598    
   
k: 18       xk: [         0.7,          50,           0] fk: 5016.6332737     
   
k: 19       xk: [         0.8,          50,           0] fk: 4712.06742548    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (4712.06742548 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 19671.2796207    
   
k: 1        xk: [         0.1,           0,           0] fk: 12173.5168307    
   
k: 2        xk: [         0.2,           0,           0] fk: 10539.1690187    
   
k: 3        xk: [         0.3,           0,           0] fk: 9269.15275435    
   
k: 4        xk: [         0.4,           0,           0] fk: 8363.46803761    
   
k: 5        xk: [         0.5,           0,           0] fk: 7822.1148685     
   
k: 6        xk: [         0.6,           0,           0] fk: 7645.09324701    
   
k: 17       xk: [         0.6,          50,           0] fk: 6188.70774101    
   
k: 18       xk: [         0.7,          50,           0] fk: 4355.80165416    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (4355.80165416 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 9994.98830359    
   
k: 1        xk: [         0.1,           0,           0] fk: 6281.59033399    
   
k: 2        xk: [         0.2,           0,           0] fk: 5241.00997239    
   
k: 3        xk: [         0.3,           0,           0] fk: 4452.03874174    
   
k: 4        xk: [         0.4,           0,           0] fk: 3914.67664204    
   
k: 5        xk: [         0.5,           0,           0] fk: 3628.92367331    
   
k: 6        xk: [         0.6,           0,           0] fk: 3594.77983553    
   
k: 18       xk: [         0.7,          50,           0] fk: 3320.66326327    
   
k: 19       xk: [         0.8,          50,           0] fk: 3283.68535691    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (3283.68535691 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 32826.5944821    
   
k: 1        xk: [         0.1,           0,           0] fk: 23209.1392938    
   
k: 2        xk: [         0.2,           0,           0] fk: 16629.3783666    
   
k: 3        xk: [         0.3,           0,           0] fk: 12249.8987814    
   
k: 4        xk: [         0.4,           0,           0] fk: 10070.7005381    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (10070.7005381 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 43873.4642648    
   
k: 1        xk: [         0.1,           0,           0] fk: 30410.5958776    
   
k: 2        xk: [         0.2,           0,           0] fk: 21359.933225     
   
k: 3        xk: [         0.3,           0,           0] fk: 15515.4789918    
   
k: 4        xk: [         0.4,           0,           0] fk: 12877.2331781    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12877.2331781 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 13778.9159658    
   
k: 1        xk: [         0.1,           0,           0] fk: 10636.9310987    
   
k: 2        xk: [         0.2,           0,           0] fk: 8606.1189946     
   
k: 3        xk: [         0.3,           0,           0] fk: 7057.17631137    
   
k: 4        xk: [         0.4,           0,           0] fk: 5990.10304902    
   
k: 5        xk: [         0.5,           0,           0] fk: 5404.89920756    
   
k: 6        xk: [         0.6,           0,           0] fk: 5301.56478698    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5301.56478698 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 16210.9940926    
   
k: 1        xk: [         0.1,           0,           0] fk: 10109.8733405    
   
k: 2        xk: [         0.2,           0,           0] fk: 6495.66835891    
   
k: 3        xk: [         0.3,           0,           0] fk: 4390.34421079    
   
k: 4        xk: [         0.4,           0,           0] fk: 3793.90089611    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3793.90089611 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 60645.9605372    
   
k: 1        xk: [         0.1,           0,           0] fk: 48113.1006427    
   
k: 2        xk: [         0.2,           0,           0] fk: 39162.8316546    
   
k: 3        xk: [         0.3,           0,           0] fk: 32132.7714874    
   
k: 4        xk: [         0.4,           0,           0] fk: 27022.9201412    
   
k: 5        xk: [         0.5,           0,           0] fk: 23833.2776161    
   
k: 6        xk: [         0.6,           0,           0] fk: 22563.8439119    
   
k: 18       xk: [         0.7,          50,           0] fk: 22405.2696476    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (22405.2696476 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 27574.9417359    
   
k: 1        xk: [         0.1,           0,           0] fk: 19706.888794     
   
k: 2        xk: [         0.2,           0,           0] fk: 14406.6851767    
   
k: 3        xk: [         0.3,           0,           0] fk: 10696.233357     
   
k: 4        xk: [         0.4,           0,           0] fk: 8575.53333477    
   
k: 5        xk: [         0.5,           0,           0] fk: 8044.58511016    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (8044.58511016 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23111.0357575    
   
k: 1        xk: [         0.1,           0,           0] fk: 17189.7022675    
   
k: 2        xk: [         0.2,           0,           0] fk: 13805.8676215    
   
k: 3        xk: [         0.3,           0,           0] fk: 11198.6526482    
   
k: 4        xk: [         0.4,           0,           0] fk: 9368.05734785    
   
k: 5        xk: [         0.5,           0,           0] fk: 8314.08172029    
   
k: 6        xk: [         0.6,           0,           0] fk: 8036.72576556    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (8036.72576556 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 31430.6075613    
   
k: 1        xk: [         0.1,           0,           0] fk: 25243.6927348    
   
k: 2        xk: [         0.2,           0,           0] fk: 21400.8713774    
   
k: 3        xk: [         0.3,           0,           0] fk: 18146.1033112    
   
k: 4        xk: [         0.4,           0,           0] fk: 15479.3885363    
   
k: 5        xk: [         0.5,           0,           0] fk: 13400.7270526    
   
k: 6        xk: [         0.6,           0,           0] fk: 11910.1188601    
   
k: 7        xk: [         0.7,           0,           0] fk: 11007.5639589    
   
k: 8        xk: [         0.8,           0,           0] fk: 10693.0623488    
   
k: 19       xk: [         0.8,          50,           0] fk: 10650.0180077    
   
k: 20       xk: [         0.9,          50,           0] fk: 10605.9665006    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10605.9665006 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 35676.0478508    
   
k: 1        xk: [         0.1,           0,           0] fk: 25362.019514     
   
k: 2        xk: [         0.2,           0,           0] fk: 18138.4249451    
   
k: 3        xk: [         0.3,           0,           0] fk: 13491.637874     
   
k: 4        xk: [         0.4,           0,           0] fk: 11421.6583009    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11421.6583009 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 10160.3919098    
   
k: 1        xk: [         0.1,           0,           0] fk: 7639.30295369    
   
k: 2        xk: [         0.2,           0,           0] fk: 6004.48976447    
   
k: 3        xk: [         0.3,           0,           0] fk: 4726.16150825    
   
k: 4        xk: [         0.4,           0,           0] fk: 3804.31818501    
   
k: 5        xk: [         0.5,           0,           0] fk: 3238.95979477    
   
k: 6        xk: [         0.6,           0,           0] fk: 3030.08633752    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (3030.08633752 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 37130.156336     
   
k: 1        xk: [         0.1,           0,           0] fk: 30773.5640001    
   
k: 2        xk: [         0.2,           0,           0] fk: 25903.5659598    
   
k: 3        xk: [         0.3,           0,           0] fk: 21678.145292     
   
k: 4        xk: [         0.4,           0,           0] fk: 18097.3019968    
   
k: 5        xk: [         0.5,           0,           0] fk: 15161.036074     
   
k: 6        xk: [         0.6,           0,           0] fk: 12869.3475237    
   
k: 7        xk: [         0.7,           0,           0] fk: 11222.2363459    
   
k: 8        xk: [         0.8,           0,           0] fk: 10219.7025407    
   
k: 9        xk: [         0.9,           0,           0] fk: 9861.74610793    
   
k: 19       xk: [         0.8,          50,           0] fk: 9743.51116368    
   
k: 20       xk: [         0.9,          50,           0] fk: 9494.68476538    
   
k: 31       xk: [         0.9,         100,           0] fk: 9385.67709387    
   
k: 64       xk: [         0.9,         250,           0] fk: 9376.14613748    
   
k: 75       xk: [         0.9,         300,           0] fk: 9297.79110681    
   
k: 86       xk: [         0.9,         350,           0] fk: 9187.01389933    
   
k: 97       xk: [         0.9,         400,           0] fk: 9059.85349099    
   
k: 108      xk: [         0.9,         450,           0] fk: 8928.15534058    
   
k: 119      xk: [         0.9,         500,           0] fk: 8799.19479648    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (8799.19479648 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 14378.6840735    
   
k: 1        xk: [         0.1,           0,           0] fk: 8399.52791278    
   
k: 2        xk: [         0.2,           0,           0] fk: 5039.32748224    
   
k: 3        xk: [         0.3,           0,           0] fk: 3168.11625177    
   
k: 4        xk: [         0.4,           0,           0] fk: 2785.89422137    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2785.89422137 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33336.0067229    
   
k: 1        xk: [         0.1,           0,           0] fk: 26602.9947471    
   
k: 2        xk: [         0.2,           0,           0] fk: 21568.1376862    
   
k: 3        xk: [         0.3,           0,           0] fk: 17630.0326789    
   
k: 4        xk: [         0.4,           0,           0] fk: 14788.6797251    
   
k: 5        xk: [         0.5,           0,           0] fk: 13044.0788248    
   
k: 6        xk: [         0.6,           0,           0] fk: 12396.2299781    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12396.2299781 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 74868.9214227    
   
k: 1        xk: [         0.1,           0,           0] fk: 50020.2532151    
   
k: 2        xk: [         0.2,           0,           0] fk: 32447.4626813    
   
k: 3        xk: [         0.3,           0,           0] fk: 21239.765001     
   
k: 4        xk: [         0.4,           0,           0] fk: 16397.160174     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16397.160174 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34510.7229589    
   
k: 1        xk: [         0.1,           0,           0] fk: 26627.6419607    
   
k: 2        xk: [         0.2,           0,           0] fk: 20973.6543214    
   
k: 3        xk: [         0.3,           0,           0] fk: 16839.668889     
   
k: 4        xk: [         0.4,           0,           0] fk: 14225.6856633    
   
k: 5        xk: [         0.5,           0,           0] fk: 13131.7046444    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (13131.7046444 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 20716.7146128    
   
k: 1        xk: [         0.1,           0,           0] fk: 13265.0272157    
   
k: 2        xk: [         0.2,           0,           0] fk: 8727.15753861    
   
k: 3        xk: [         0.3,           0,           0] fk: 5855.29399648    
   
k: 4        xk: [         0.4,           0,           0] fk: 4649.43658932    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4649.43658932 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 29155.8504053    
   
k: 1        xk: [         0.1,           0,           0] fk: 22103.0405896    
   
k: 2        xk: [         0.2,           0,           0] fk: 17387.4636785    
   
k: 3        xk: [         0.3,           0,           0] fk: 13912.7472091    
   
k: 4        xk: [         0.4,           0,           0] fk: 11678.8911812    
   
k: 5        xk: [         0.5,           0,           0] fk: 10685.8955949    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10685.8955949 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 14516.4590835    
   
k: 1        xk: [         0.1,           0,           0] fk: 10928.5701653    
   
k: 2        xk: [         0.2,           0,           0] fk: 8870.73790487    
   
k: 3        xk: [         0.3,           0,           0] fk: 7268.20609076    
   
k: 4        xk: [         0.4,           0,           0] fk: 6120.97472293    
   
k: 5        xk: [         0.5,           0,           0] fk: 5429.04380138    
   
k: 6        xk: [         0.6,           0,           0] fk: 5192.41332611    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5192.41332611 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 141984.64917     
   
k: 1        xk: [         0.1,           0,           0] fk: 102496.261982    
   
k: 2        xk: [         0.2,           0,           0] fk: 73757.7478526    
   
k: 3        xk: [         0.3,           0,           0] fk: 54569.0870801    
   
k: 4        xk: [         0.4,           0,           0] fk: 44930.2796641    
   
k: 5        xk: [         0.5,           0,           0] fk: 44841.3256046    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (44841.3256046 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 112660.585379    
   
k: 1        xk: [         0.1,           0,           0] fk: 81916.0847604    
   
k: 2        xk: [         0.2,           0,           0] fk: 59882.2853129    
   
k: 3        xk: [         0.3,           0,           0] fk: 44909.7311567    
   
k: 4        xk: [         0.4,           0,           0] fk: 36998.4222917    
   
k: 5        xk: [         0.5,           0,           0] fk: 36148.358718     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (36148.358718 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 66368.7561133    
   
k: 1        xk: [         0.1,           0,           0] fk: 53755.3594536    
   
k: 2        xk: [         0.2,           0,           0] fk: 44470.7985577    
   
k: 3        xk: [         0.3,           0,           0] fk: 36921.030357     
   
k: 4        xk: [         0.4,           0,           0] fk: 31106.0548514    
   
k: 5        xk: [         0.5,           0,           0] fk: 27025.872041     
   
k: 6        xk: [         0.6,           0,           0] fk: 24680.4819256    
   
k: 7        xk: [         0.7,           0,           0] fk: 24069.8845053    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (24069.8845053 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 22572.9564775    
   
k: 1        xk: [         0.1,           0,           0] fk: 16174.476814     
   
k: 2        xk: [         0.2,           0,           0] fk: 12158.0492815    
   
k: 3        xk: [         0.3,           0,           0] fk: 9363.43259809    
   
k: 4        xk: [         0.4,           0,           0] fk: 7790.62676395    
   
k: 5        xk: [         0.5,           0,           0] fk: 7439.63177903    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7439.63177903 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 139373.413104    
   
k: 1        xk: [         0.1,           0,           0] fk: 82588.5572885    
   
k: 2        xk: [         0.2,           0,           0] fk: 43957.4912618    
   
k: 3        xk: [         0.3,           0,           0] fk: 21861.0392187    
   
k: 4        xk: [         0.4,           0,           0] fk: 16299.2011591    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16299.2011591 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 188648.374744    
   
k: 1        xk: [         0.1,           0,           0] fk: 126666.314793    
   
k: 2        xk: [         0.2,           0,           0] fk: 82230.6553801    
   
k: 3        xk: [         0.3,           0,           0] fk: 54328.641801     
   
k: 4        xk: [         0.4,           0,           0] fk: 42960.2740553    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (42960.2740553 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 156060.662069    
   
k: 1        xk: [         0.1,           0,           0] fk: 108659.936595    
   
k: 2        xk: [         0.2,           0,           0] fk: 74627.8960497    
   
k: 3        xk: [         0.3,           0,           0] fk: 53077.5437017    
   
k: 4        xk: [         0.4,           0,           0] fk: 44008.8795512    
   
k: 114      xk: [         0.4,         500,           0] fk: 40740.7316644    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (40740.7316644 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 6601.70019207    
   
k: 1        xk: [         0.1,           0,           0] fk: 4502.19260876    
   
k: 2        xk: [         0.2,           0,           0] fk: 3264.61583415    
   
k: 3        xk: [         0.3,           0,           0] fk: 2456.69212947    
   
k: 4        xk: [         0.4,           0,           0] fk: 2078.4214947     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2078.4214947 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 24536.7604569    
   
k: 1        xk: [         0.1,           0,           0] fk: 17039.4394883    
   
k: 2        xk: [         0.2,           0,           0] fk: 11826.4296404    
   
k: 3        xk: [         0.3,           0,           0] fk: 8506.38965914    
   
k: 4        xk: [         0.4,           0,           0] fk: 7079.31954452    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7079.31954452 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23919.0952585    
   
k: 1        xk: [         0.1,           0,           0] fk: 17239.444227     
   
k: 2        xk: [         0.2,           0,           0] fk: 12603.5436644    
   
k: 3        xk: [         0.3,           0,           0] fk: 9547.83288509    
   
k: 4        xk: [         0.4,           0,           0] fk: 8072.31188905    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (8072.31188905 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 41472.5815614    
   
k: 1        xk: [         0.1,           0,           0] fk: 34081.4966204    
   
k: 2        xk: [         0.2,           0,           0] fk: 28412.6024817    
   
k: 3        xk: [         0.3,           0,           0] fk: 23770.3636236    
   
k: 4        xk: [         0.4,           0,           0] fk: 20154.7800463    
   
k: 5        xk: [         0.5,           0,           0] fk: 17565.8517496    
   
k: 6        xk: [         0.6,           0,           0] fk: 16003.5787336    
   
k: 7        xk: [         0.7,           0,           0] fk: 15467.9609983    
   
k: 18       xk: [         0.7,          50,           0] fk: 14832.4678915    
   
k: 107      xk: [         0.8,         450,           0] fk: 14733.8859747    
   
k: 117      xk: [         0.7,         500,           0] fk: 14398.6122       
   
k: 118      xk: [         0.8,         500,           0] fk: 14357.953104     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (14357.953104 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 5334.4090188     
   
k: 1        xk: [         0.1,           0,           0] fk: 3892.03407346    
   
k: 2        xk: [         0.2,           0,           0] fk: 3102.91493374    
   
k: 3        xk: [         0.3,           0,           0] fk: 2514.56856386    
   
k: 4        xk: [         0.4,           0,           0] fk: 2126.99496381    
   
k: 5        xk: [         0.5,           0,           0] fk: 1940.19413361    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1940.19413361 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23522.8259239    
   
k: 1        xk: [         0.1,           0,           0] fk: 15367.5082935    
   
k: 2        xk: [         0.2,           0,           0] fk: 10493.8299966    
   
k: 3        xk: [         0.3,           0,           0] fk: 7361.38122012    
   
k: 4        xk: [         0.4,           0,           0] fk: 5970.16196422    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5970.16196422 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 10757.5128385    
   
k: 1        xk: [         0.1,           0,           0] fk: 7221.9681308     
   
k: 2        xk: [         0.2,           0,           0] fk: 5413.67329467    
   
k: 3        xk: [         0.3,           0,           0] fk: 4155.74340876    
   
k: 4        xk: [         0.4,           0,           0] fk: 3448.17847307    
   
k: 5        xk: [         0.5,           0,           0] fk: 3290.9784876     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (3290.9784876 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 19403.0986304    
   
k: 1        xk: [         0.1,           0,           0] fk: 13922.9525304    
   
k: 2        xk: [         0.2,           0,           0] fk: 11386.9562967    
   
k: 3        xk: [         0.3,           0,           0] fk: 9483.83202166    
   
k: 4        xk: [         0.4,           0,           0] fk: 8213.57970535    
   
k: 5        xk: [         0.5,           0,           0] fk: 7576.19934775    
   
k: 6        xk: [         0.6,           0,           0] fk: 7571.69094886    
   
k: 17       xk: [         0.6,          50,           0] fk: 7444.94613084    
   
k: 18       xk: [         0.7,          50,           0] fk: 6933.86819498    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (6933.86819498 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33974.9388195    
   
k: 1        xk: [         0.1,           0,           0] fk: 25528.2069218    
   
k: 2        xk: [         0.2,           0,           0] fk: 19638.4747617    
   
k: 3        xk: [         0.3,           0,           0] fk: 15475.7777018    
   
k: 4        xk: [         0.4,           0,           0] fk: 13040.115742     
   
k: 5        xk: [         0.5,           0,           0] fk: 12331.4888823    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (12331.4888823 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34181.7067805    
   
k: 1        xk: [         0.1,           0,           0] fk: 26775.7091908    
   
k: 2        xk: [         0.2,           0,           0] fk: 21469.6998182    
   
k: 3        xk: [         0.3,           0,           0] fk: 17434.5259793    
   
k: 4        xk: [         0.4,           0,           0] fk: 14670.1876739    
   
k: 5        xk: [         0.5,           0,           0] fk: 13176.6849021    
   
k: 6        xk: [         0.6,           0,           0] fk: 12954.0176639    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12954.0176639 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 21988.153738     
   
k: 1        xk: [         0.1,           0,           0] fk: 17025.9462156    
   
k: 2        xk: [         0.2,           0,           0] fk: 13688.7683468    
   
k: 3        xk: [         0.3,           0,           0] fk: 11099.2718218    
   
k: 4        xk: [         0.4,           0,           0] fk: 9257.45664058    
   
k: 5        xk: [         0.5,           0,           0] fk: 8163.32280316    
   
k: 6        xk: [         0.6,           0,           0] fk: 7816.87030954    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7816.87030954 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 30593.5851764    
   
k: 1        xk: [         0.1,           0,           0] fk: 22382.0755004    
   
k: 2        xk: [         0.2,           0,           0] fk: 16496.6955823    
   
k: 3        xk: [         0.3,           0,           0] fk: 12423.6083422    
   
k: 4        xk: [         0.4,           0,           0] fk: 10162.8137804    
   
k: 5        xk: [         0.5,           0,           0] fk: 9714.3118966     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9714.3118966 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 28846.7259313    
   
k: 1        xk: [         0.1,           0,           0] fk: 22784.4819863    
   
k: 2        xk: [         0.2,           0,           0] fk: 18276.2235486    
   
k: 3        xk: [         0.3,           0,           0] fk: 14796.7706129    
   
k: 4        xk: [         0.4,           0,           0] fk: 12346.123179     
   
k: 5        xk: [         0.5,           0,           0] fk: 10924.281247     
   
k: 6        xk: [         0.6,           0,           0] fk: 10531.2448169    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10531.2448169 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 70925.8752768    
   
k: 1        xk: [         0.1,           0,           0] fk: 50121.3023587    
   
k: 2        xk: [         0.2,           0,           0] fk: 35169.0237864    
   
k: 3        xk: [         0.3,           0,           0] fk: 25156.2488925    
   
k: 4        xk: [         0.4,           0,           0] fk: 20082.977677     
   
k: 5        xk: [         0.5,           0,           0] fk: 19949.2101398    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19949.2101398 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 59467.0252757    
   
k: 1        xk: [         0.1,           0,           0] fk: 46541.0137297    
   
k: 2        xk: [         0.2,           0,           0] fk: 37265.7829545    
   
k: 3        xk: [         0.3,           0,           0] fk: 30315.9930593    
   
k: 4        xk: [         0.4,           0,           0] fk: 25691.6440441    
   
k: 5        xk: [         0.5,           0,           0] fk: 23392.7359089    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (23392.7359089 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 42012.5196458    
   
k: 1        xk: [         0.1,           0,           0] fk: 35441.5437671    
   
k: 2        xk: [         0.2,           0,           0] fk: 30787.8782669    
   
k: 3        xk: [         0.3,           0,           0] fk: 26628.809577     
   
k: 4        xk: [         0.4,           0,           0] fk: 22964.3376973    
   
k: 5        xk: [         0.5,           0,           0] fk: 19794.462628     
   
k: 6        xk: [         0.6,           0,           0] fk: 17119.1843689    
   
k: 7        xk: [         0.7,           0,           0] fk: 14938.5029202    
   
k: 8        xk: [         0.8,           0,           0] fk: 13252.4182817    
   
k: 9        xk: [         0.9,           0,           0] fk: 12060.9304535    
   
k: 10       xk: [           1,           0,           0] fk: 11364.0394357    
   
k: 31       xk: [         0.9,         100,           0] fk: 11239.6178458    
   
k: 42       xk: [         0.9,         150,           0] fk: 11216.0639123    
   
k: 64       xk: [         0.9,         250,           0] fk: 11167.4168591    
   
k: 75       xk: [         0.9,         300,           0] fk: 11058.9135502    
   
k: 86       xk: [         0.9,         350,           0] fk: 10909.2485252    
   
k: 97       xk: [         0.9,         400,           0] fk: 10739.170682     
   
k: 108      xk: [         0.9,         450,           0] fk: 10564.1801899    
   
k: 119      xk: [         0.9,         500,           0] fk: 10393.7520518    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (10393.7520518 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 53091.4390749    
   
k: 1        xk: [         0.1,           0,           0] fk: 39275.0806006    
   
k: 2        xk: [         0.2,           0,           0] fk: 29794.4782661    
   
k: 3        xk: [         0.3,           0,           0] fk: 23208.0639422    
   
k: 4        xk: [         0.4,           0,           0] fk: 19515.837629     
   
k: 5        xk: [         0.5,           0,           0] fk: 18717.7993265    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18717.7993265 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 100711.310967    
   
k: 1        xk: [         0.1,           0,           0] fk: 71913.7189589    
   
k: 2        xk: [         0.2,           0,           0] fk: 51365.1561599    
   
k: 3        xk: [         0.3,           0,           0] fk: 37700.7354138    
   
k: 4        xk: [         0.4,           0,           0] fk: 30920.4567207    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30920.4567207 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33350.0780338    
   
k: 1        xk: [         0.1,           0,           0] fk: 24327.8524766    
   
k: 2        xk: [         0.2,           0,           0] fk: 18354.0614007    
   
k: 3        xk: [         0.3,           0,           0] fk: 14258.1798916    
   
k: 4        xk: [         0.4,           0,           0] fk: 12040.2079493    
   
k: 5        xk: [         0.5,           0,           0] fk: 11700.1455739    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11700.1455739 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 37039.1682285    
   
k: 1        xk: [         0.1,           0,           0] fk: 28150.8425759    
   
k: 2        xk: [         0.2,           0,           0] fk: 23100.413622     
   
k: 3        xk: [         0.3,           0,           0] fk: 19184.0614291    
   
k: 4        xk: [         0.4,           0,           0] fk: 16401.7859973    
   
k: 5        xk: [         0.5,           0,           0] fk: 14753.5873266    
   
k: 6        xk: [         0.6,           0,           0] fk: 14239.4654169    
   
k: 17       xk: [         0.6,          50,           0] fk: 13361.983139     
   
k: 18       xk: [         0.7,          50,           0] fk: 12911.7334733    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (12911.7334733 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 63963.0178642    
   
k: 1        xk: [         0.1,           0,           0] fk: 46796.1428101    
   
k: 2        xk: [         0.2,           0,           0] fk: 34677.850792     
   
k: 3        xk: [         0.3,           0,           0] fk: 26224.6677409    
   
k: 4        xk: [         0.4,           0,           0] fk: 21436.5936568    
   
k: 5        xk: [         0.5,           0,           0] fk: 20313.6285396    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20313.6285396 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 90916.0115374    
   
k: 1        xk: [         0.1,           0,           0] fk: 71705.5146785    
   
k: 2        xk: [         0.2,           0,           0] fk: 56997.3375513    
   
k: 3        xk: [         0.3,           0,           0] fk: 46016.4722501    
   
k: 4        xk: [         0.4,           0,           0] fk: 38762.918775     
   
k: 5        xk: [         0.5,           0,           0] fk: 35236.6771259    
   
k: 17       xk: [         0.6,          50,           0] fk: 34332.010094     
   
k: 104      xk: [         0.5,         450,           0] fk: 34313.9892104    
   
k: 105      xk: [         0.6,         450,           0] fk: 33441.3113007    
   
k: 115      xk: [         0.5,         500,           0] fk: 31124.1870426    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (31124.1870426 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 55156.7500081    
   
k: 1        xk: [         0.1,           0,           0] fk: 44197.6357673    
   
k: 2        xk: [         0.2,           0,           0] fk: 36342.4817413    
   
k: 3        xk: [         0.3,           0,           0] fk: 30062.8841214    
   
k: 4        xk: [         0.4,           0,           0] fk: 25358.8429074    
   
k: 5        xk: [         0.5,           0,           0] fk: 22230.3580994    
   
k: 6        xk: [         0.6,           0,           0] fk: 20677.4296974    
   
k: 18       xk: [         0.7,          50,           0] fk: 20166.8905238    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (20166.8905238 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 27563.6493743    
   
k: 1        xk: [         0.1,           0,           0] fk: 19619.2607888    
   
k: 2        xk: [         0.2,           0,           0] fk: 14605.6829403    
   
k: 3        xk: [         0.3,           0,           0] fk: 11180.1608592    
   
k: 4        xk: [         0.4,           0,           0] fk: 9342.69454548    
   
k: 5        xk: [         0.5,           0,           0] fk: 9093.28399919    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (9093.28399919 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 13953.1286165    
   
k: 1        xk: [         0.1,           0,           0] fk: 9471.89249067    
   
k: 2        xk: [         0.2,           0,           0] fk: 6648.1115501     
   
k: 3        xk: [         0.3,           0,           0] fk: 4791.10995168    
   
k: 4        xk: [         0.4,           0,           0] fk: 3900.88769539    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3900.88769539 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 120128.634826    
   
k: 1        xk: [         0.1,           0,           0] fk: 94453.6140658    
   
k: 2        xk: [         0.2,           0,           0] fk: 74670.4729124    
   
k: 3        xk: [         0.3,           0,           0] fk: 60096.987735     
   
k: 4        xk: [         0.4,           0,           0] fk: 50733.1585335    
   
k: 5        xk: [         0.5,           0,           0] fk: 46578.9853079    
   
k: 16       xk: [         0.5,          50,           0] fk: 43824.2133651    
   
k: 82       xk: [         0.5,         350,           0] fk: 41503.1702452    
   
k: 92       xk: [         0.4,         400,           0] fk: 41375.9232929    
   
k: 93       xk: [         0.5,         400,           0] fk: 38314.5885641    
   
k: 103      xk: [         0.4,         450,           0] fk: 36684.3465748    
   
k: 104      xk: [         0.5,         450,           0] fk: 35261.0625351    
   
k: 114      xk: [         0.4,         500,           0] fk: 32446.4930098    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (32446.4930098 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 29989.6643315    
   
k: 1        xk: [         0.1,           0,           0] fk: 24493.7243466    
   
k: 2        xk: [         0.2,           0,           0] fk: 20773.7342534    
   
k: 3        xk: [         0.3,           0,           0] fk: 17631.3089668    
   
k: 4        xk: [         0.4,           0,           0] fk: 15066.4484869    
   
k: 5        xk: [         0.5,           0,           0] fk: 13079.1528135    
   
k: 6        xk: [         0.6,           0,           0] fk: 11669.4219468    
   
k: 7        xk: [         0.7,           0,           0] fk: 10837.2558868    
   
k: 8        xk: [         0.8,           0,           0] fk: 10582.6546333    
   
k: 19       xk: [         0.8,          50,           0] fk: 9970.63388806    
   
k: 108      xk: [         0.9,         450,           0] fk: 9961.72826892    
   
k: 119      xk: [         0.9,         500,           0] fk: 9852.95232303    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (9852.95232303 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 48183.6562985    
   
k: 1        xk: [         0.1,           0,           0] fk: 38628.676714     
   
k: 2        xk: [         0.2,           0,           0] fk: 31372.8116825    
   
k: 3        xk: [         0.3,           0,           0] fk: 25656.0239004    
   
k: 4        xk: [         0.4,           0,           0] fk: 21478.3133675    
   
k: 5        xk: [         0.5,           0,           0] fk: 18839.6800839    
   
k: 6        xk: [         0.6,           0,           0] fk: 17740.1240497    
   
k: 17       xk: [         0.6,          50,           0] fk: 17457.960652     
   
k: 18       xk: [         0.7,          50,           0] fk: 17394.432071     
   
k: 117      xk: [         0.7,         500,           0] fk: 16837.7046882    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (16837.7046882 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23132.7425346    
   
k: 1        xk: [         0.1,           0,           0] fk: 18898.2221552    
   
k: 2        xk: [         0.2,           0,           0] fk: 16083.495992     
   
k: 3        xk: [         0.3,           0,           0] fk: 13644.2359594    
   
k: 4        xk: [         0.4,           0,           0] fk: 11580.4420576    
   
k: 5        xk: [         0.5,           0,           0] fk: 9892.11428644    
   
k: 6        xk: [         0.6,           0,           0] fk: 8579.25264605    
   
k: 7        xk: [         0.7,           0,           0] fk: 7641.85713637    
   
k: 8        xk: [         0.8,           0,           0] fk: 7079.92775742    
   
k: 9        xk: [         0.9,           0,           0] fk: 6893.46450918    
   
k: 19       xk: [         0.8,          50,           0] fk: 6569.96343998    
   
k: 20       xk: [         0.9,          50,           0] fk: 6511.67271166    
   
k: 31       xk: [         0.9,         100,           0] fk: 6394.56669306    
   
k: 75       xk: [         0.9,         300,           0] fk: 6377.18229176    
   
k: 86       xk: [         0.9,         350,           0] fk: 6301.33549671    
   
k: 97       xk: [         0.9,         400,           0] fk: 6211.3397401     
   
k: 108      xk: [         0.9,         450,           0] fk: 6117.57577408    
   
k: 119      xk: [         0.9,         500,           0] fk: 6026.3625449     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6026.3625449 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 36898.88387      
   
k: 1        xk: [         0.1,           0,           0] fk: 29188.1831019    
   
k: 2        xk: [         0.2,           0,           0] fk: 24860.7578457    
   
k: 3        xk: [         0.3,           0,           0] fk: 21206.8409318    
   
k: 4        xk: [         0.4,           0,           0] fk: 18226.4323603    
   
k: 5        xk: [         0.5,           0,           0] fk: 15919.532131     
   
k: 6        xk: [         0.6,           0,           0] fk: 14286.1402441    
   
k: 7        xk: [         0.7,           0,           0] fk: 13326.2566994    
   
k: 8        xk: [         0.8,           0,           0] fk: 13039.8814971    
   
k: 18       xk: [         0.7,          50,           0] fk: 11552.3463497    
   
k: 19       xk: [         0.8,          50,           0] fk: 11243.4810401    
   
k: 97       xk: [         0.9,         400,           0] fk: 11188.6759628    
   
k: 108      xk: [         0.9,         450,           0] fk: 11096.1750059    
   
k: 118      xk: [         0.8,         500,           0] fk: 10975.4769597    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (10975.4769597 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 40987.1607828    
   
k: 1        xk: [         0.1,           0,           0] fk: 25529.4062284    
   
k: 2        xk: [         0.2,           0,           0] fk: 24097.104562     
   
k: 3        xk: [         0.3,           0,           0] fk: 23178.8819216    
   
k: 4        xk: [         0.4,           0,           0] fk: 22774.7383073    
   
k: 15       xk: [         0.4,          50,           0] fk: 17184.4897579    
   
k: 16       xk: [         0.5,          50,           0] fk: 6314.00738975    
   
k: 17       xk: [         0.6,          50,           0] fk: 5061.11307685    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (5061.11307685 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 45789.3602829    
   
k: 1        xk: [         0.1,           0,           0] fk: 29494.8844257    
   
k: 2        xk: [         0.2,           0,           0] fk: 28976.1193259    
   
k: 3        xk: [         0.3,           0,           0] fk: 28735.4751754    
   
k: 15       xk: [         0.4,          50,           0] fk: 7398.32928523    
   
k: 16       xk: [         0.5,          50,           0] fk: 1951.98342778    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (1951.98342778 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 55284.1384162    
   
k: 1        xk: [         0.1,           0,           0] fk: 42669.3368942    
   
k: 2        xk: [         0.2,           0,           0] fk: 42512.0085314    
   
k: 13       xk: [         0.2,          50,           0] fk: 11714.5660954    
   
k: 14       xk: [         0.3,          50,           0] fk: 835.864298566    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (835.864298566 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 135177.865875    
   
k: 1        xk: [         0.1,           0,           0] fk: 113890.174458    
   
k: 2        xk: [         0.2,           0,           0] fk: 111502.715523    
   
k: 3        xk: [         0.3,           0,           0] fk: 110854.851081    
   
k: 11       xk: [           0,          50,           0] fk: 98792.66173      
   
k: 12       xk: [         0.1,          50,           0] fk: 9629.2606458     
   
k: 13       xk: [         0.2,          50,           0] fk: 4245.32591594    
   
k: 24       xk: [         0.2,         100,           0] fk: 3619.36982584    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (3619.36982584 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 17458.745706711263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
17458.7457067       

        Parameter values: [0.49844563142121001, 12.629790873246705, 
0.080187894005255847]
        Function value:   15772.469628186267
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.49844563142121 ,  12.629790873246705,   
0.080187894005256])fk: 16752.843650988918  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49845,       12.63,    0.080188] fk: 
16743.0306624       

        Parameter values: [0.50318557940396824, 12.898993971422836, 
4.6897700815133161e-05]
        Function value:   16594.350580128565
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.031855794039682e-01,   1.289899397142284e+01,
         4.689770081513316e-05])fk: 16594.443274411078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50319,      12.899,  4.6898e-05] fk: 
16594.3512399       

        Parameter values: [0.50318835228383352, 12.899152983417078, 
1.3721079123536675e-08]
        Function value:   16594.350800196702
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.031883522838335e-01,   1.289915298341708e+01,
         1.372107912353667e-08])fk: 16594.350827252314  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50319,      12.899,  1.3721e-08] fk: 
16594.3508002       

        Parameter values: [0.50318835309518128, 12.899153030846286, 
2.0084027772671609e-12]
        Function value:   16594.350800196735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.031883530951813e-01,   1.289915303084629e+01,
         2.008402777267161e-12])fk: 16594.350800200697  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50319,      12.899,  2.0084e-12] fk: 
16594.3508002       

        Parameter values: [0.50318835309530008, 12.899153030853101, 
1.466036891934329e-16]
        Function value:   16594.350800196735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.50318835309530008, 12.899153030853101, 
1.466036891934329e-16]
Function value:   16594.350800196735
Iterations:       12
Function calls:   47
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (16594.3508002 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,  500.000000000000114,    0.       
        ])fk: 25066.22816148631   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         500,           0] fk: 
25066.2281615       

        Parameter values: [0.21317123714272873, 2197.8465868934913, 
0.095246743661503097]
        Function value:   326.72598688558219
        Iterations:       8
        Function calls:   23
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  2.131712371427287e-01,   2.197846586893491e+03,
         9.524674366150310e-02])fk: 825.59631459460911  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21317,      2197.8,    0.095247] fk: 
825.031478449       

        Parameter values: [0.21903237083038796, 2214.9462682360486, 
6.0306180379076355e-05]
        Function value:   780.89643009586632
        Iterations:       4
        Function calls:   31
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  2.190323708303880e-01,   2.214946268236049e+03,
         6.030618037907636e-05])fk: 780.92473148574095  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21903,      2214.9,  6.0306e-05] fk: 
780.897521146       

        Parameter values: [0.21903607367768776, 2214.9573723650542, 
1.9064996299515116e-08]
        Function value:   780.89679400816806
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.190360736776878e-01,   2.214957372365054e+03,
         1.906499629951512e-08])fk: 780.8968028402295   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,        2215,  1.9065e-08] fk: 
780.896794008       

        Parameter values: [0.21903607484414775, 2214.9573759614163, 
3.0416665406022758e-12]
        Function value:   780.896794008239
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.190360748441477e-01,   2.214957375961416e+03,
         3.041666540602276e-12])fk: 780.89679400964803  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,        2215,  3.0417e-12] fk: 
780.896794008       

        Parameter values: [0.21903607484433463, 2214.957375961972, 
2.4198773247000655e-16]
        Function value:   780.8967940082382
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  2.190360748443346e-01,   2.214957375961972e+03,
         2.419877324700065e-16])fk: 780.89679400823832  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21904,        2215,  2.4199e-16] fk: 
780.896794008       

        Parameter values: [0.21903607484433463, 2214.957375961972, 
2.1174650849812352e-16]
        Function value:   780.8967940082382
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.21903607484433463, 2214.957375961972, 
2.1174650849812352e-16]
Function value:   780.89679400823832
Iterations:       16
Function calls:   69
Gradient calls:   22
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (780.896794008 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 14896.696087230728  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
14896.6960872       

        Parameter values: [0.4584669507328914, 7.0029553150513406, 
0.084544744025707885]
        Function value:   13611.772249718069
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.458466950732891,  7.002955315051341,  
0.084544744025708])fk: 14599.829002856526  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45847,       7.003,    0.084545] fk: 
14593.8573794       

        Parameter values: [0.4637185138901308, 7.1887189233457232, 
3.4179446424793019e-05]
        Function value:   14469.451866110749
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.637185138901308e-01,   7.188718923345723e+00,
         3.417944642479302e-05])fk: 14469.504574496648  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1887,  3.4179e-05] fk: 
14469.4522166       

        Parameter values: [0.46372063732689456, 7.1887948371397892, 
6.9132295886772184e-09]
        Function value:   14469.45198298146
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.637206373268946e-01,   7.188794837139789e+00,
         6.913229588677218e-09])fk: 14469.451993618766  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888,  6.9132e-09] fk: 
14469.451983        

        Parameter values: [0.46372063775639988, 7.1887948528216867, 
6.9979097398273703e-13]
        Function value:   14469.451982981473
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.637206377563999e-01,   7.188794852821687e+00,
         6.997909739827370e-13])fk: 14469.451982982549  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888,  6.9979e-13] fk: 
14469.451983        

        Parameter values: [0.46372063775644334, 7.1887948528232437, 
3.5474530248634497e-17]
        Function value:   14469.451982981471
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.637206377564433e-01,   7.188794852823244e+00,
         3.547453024863450e-17])fk: 14469.451982981471  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888,  3.5475e-17] fk: 
14469.451983        

        Parameter values: [0.46372063775644334, 7.1887948528232348, 
4.5907561959255751e-20]
        Function value:   14469.451982981469
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.637206377564433e-01,   7.188794852823235e+00,
         4.590756195925575e-20])fk: 14469.451982981469  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46372,      7.1888,  4.5908e-20] fk: 
14469.451983        

        Parameter values: [0.46372063775644334, 7.1887948528232366, 
3.5217170624619151e-20]
        Function value:   14469.451982981469
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46372063775644334, 7.1887948528232366, 
3.5217170624619151e-20]
Function value:   14469.451982981469
Iterations:       15
Function calls:   58
Gradient calls:   22
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14469.451983 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 9541.1886625134284  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
9541.18866251       

        Parameter values: [0.4020502848079654, 6.0231169654204324, 
0.089849837819236972]
        Function value:   8204.4836366060972
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.402050284807965,  6.023116965420432,  
0.089849837819237])fk: 9199.3323469913066  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40205,      6.0231,     0.08985] fk: 
9196.75670218       

        Parameter values: [0.4077580642979346, 6.181939690876205, 
2.4980179399597687e-05]
        Function value:   9108.3577148513596
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.077580642979346e-01,   6.181939690876205e+00,
         2.498017939959769e-05])fk: 9108.3830077376442  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,      6.1819,   2.498e-05] fk: 
9108.35790205       

        Parameter values: [0.40775965137467801, 6.1819843053393901, 
3.4740355584056133e-09]
        Function value:   9108.3577772696481
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.077596513746780e-01,   6.181984305339390e+00,
         3.474035558405613e-09])fk: 9108.3577807784932  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182,   3.474e-09] fk: 
9108.35777727       

        Parameter values: [0.40775965159540478, 6.181984311671493, 
2.4168679261903682e-13]
        Function value:   9108.3577772696553
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.077596515954048e-01,   6.181984311671493e+00,
         2.416867926190368e-13])fk: 9108.3577772698991  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182,  2.4169e-13] fk: 
9108.35777727       

        Parameter values: [0.40775965159541999, 6.1819843116719255, 
8.401276409914989e-18]
        Function value:   9108.3577772696535
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.077596515954200e-01,   6.181984311671926e+00,
         8.401276409914989e-18])fk: 9108.3577772696535  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.40776,       6.182,  8.4013e-18] fk: 
9108.35777727       

        Parameter values: [0.40775965159542005, 6.1819843116719246, 
4.2189034083100304e-18]
        Function value:   9108.3577772696535
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.40775965159542005, 6.1819843116719246, 
4.2189034083100304e-18]
Function value:   9108.3577772696535
Iterations:       12
Function calls:   49
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9108.35777727 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 10820.198656865867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
10820.1986569       

        Parameter values: [0.50833449278530507, 9.602394811643963, 
0.08838244845635633]
        Function value:   9439.6350925920451
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.508334492785305,  9.602394811643963,  
0.088382448456356])fk: 10432.886717398585  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.50833,      9.6024,    0.088382] fk: 
10429.5125298       

        Parameter values: [0.5135803890093904, 9.8243906948729762, 
2.85385430176553e-05]
        Function value:   10330.460169841373
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.135803890093904e-01,   9.824390694872976e+00,
         2.853854301765530e-05])fk: 10330.493243195979  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8244,  2.8539e-05] fk: 
10330.4604142       

        Parameter values: [0.51358208434103492, 9.824463841765505, 
4.5805054981924178e-09]
        Function value:   10330.460251312194
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.135820843410349e-01,   9.824463841765505e+00,
         4.580505498192418e-09])fk: 10330.460256607472  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8245,  4.5805e-09] fk: 
10330.4602513       

        Parameter values: [0.5135820846129695, 9.8244638536643958, 
3.698862801586481e-13]
        Function value:   10330.460251312197
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.135820846129695e-01,   9.824463853664396e+00,
         3.698862801586481e-13])fk: 10330.460251312625  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51358,      9.8245,  3.6989e-13] fk: 
10330.4602513       

        Parameter values: [0.51358208461297228, 9.824463853664513, 
3.2365240232480031e-13]
        Function value:   10330.460251312197
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.51358208461297228, 9.824463853664513, 
3.2365240232480031e-13]
Function value:   10330.460251312572
Iterations:       11
Function calls:   48
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10330.4602513 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 8747.1825981243474  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
8747.18259812       

        Parameter values: [0.53062094793630488, 8.768014760382524, 
0.090510902461657092]
        Function value:   7390.0691164143436
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.530620947936305,  8.768014760382524,  
0.090510902461657])fk: 8385.5669678097347  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53062,       8.768,    0.090511] fk: 
8383.31589351       

        Parameter values: [0.53580016566597111, 8.9649445603498439, 
2.4301692150730075e-05]
        Function value:   8299.9002396679934
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.358001656659711e-01,   8.964944560349844e+00,
         2.430169215073007e-05])fk: 8299.9232407234867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5358,      8.9649,  2.4302e-05] fk: 
8299.90041684       

        Parameter values: [0.53580155642499705, 8.9649980318615317, 
3.2631655955604429e-09]
        Function value:   8299.9002987410749
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.358015564249970e-01,   8.964998031861532e+00,
         3.263165595560443e-09])fk: 8299.9003018216627  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5358,       8.965,  3.2632e-09] fk: 
8299.90029874       

        Parameter values: [0.53580155661175166, 8.9649980392021469, 
2.1913932128023364e-13]
        Function value:   8299.9002987410749
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53580155661175166, 8.9649980392021469, 
2.1913932128023364e-13]
Function value:   8299.9002987412823
Iterations:       11
Function calls:   43
Gradient calls:   15
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8299.90029874 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 4337.4720387558336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
4337.47203876       

        Parameter values: [0.54050218257816507, 13.170018737483593, 
0.096027277157060761]
        Function value:   2577.0729527660387
        Iterations:       6
        Function calls:   15
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  0.540502182578165,  13.170018737483593,   
0.096027277157061])fk: 3576.2838264266984  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5405,       13.17,    0.096027] fk: 
3575.88926326       

        Parameter values: [0.54579389778060472, 13.460892637321534, 
1.0589768008989741e-05]
        Function value:   3538.2365405172723
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.457938977806047e-01,   1.346089263732153e+01,
         1.058976800898974e-05])fk: 3538.2407363242805  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54579,      13.461,   1.059e-05] fk: 
3538.23657416       

        Parameter values: [0.54579448137419295, 13.460925093817144, 
5.8395648166896443e-10]
        Function value:   3538.236551732828
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.457944813741930e-01,   1.346092509381714e+01,
         5.839564816689644e-10])fk: 3538.236551963581   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54579,      13.461,  5.8396e-10] fk: 
3538.23655173       

        Parameter values: [0.54579448140637465, 13.460925095649072, 
1.6101843938472735e-14]
        Function value:   3538.236551732828
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54579448140637465, 13.460925095649072, 
1.6101843938472735e-14]
Function value:   3538.2365517328344
Iterations:       12
Function calls:   47
Gradient calls:   16
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (3538.23655173 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 1871.5303216573768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
1871.53032166       

        Parameter values: [0.59035048488455921, 19.865148187953004, 
0.097882326988266211]
        Function value:   1095.0338396708394
        Iterations:       4
        Function calls:   10
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.590350484884559,  19.865148187953004,   
0.097882326988266])fk: 1594.8096127216081  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59035,      19.865,    0.097882] fk: 
1594.69749925       

        Parameter values: [0.59518513512978732, 20.273694199450894, 
6.8496338856973652e-06]
        Function value:   1574.148099304907
        Iterations:       5
        Function calls:   51
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  5.951851351297873e-01,   2.027369419945089e+01,
         6.849633885697365e-06])fk: 1574.1495451416406  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59519,      20.274,  6.8496e-06] fk: 
1574.14811338       

        Parameter values: [0.59518546608896494, 20.273721965538993, 
2.5500117130262137e-10]
        Function value:   1574.1481039970226
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.951854660889649e-01,   2.027372196553899e+01,
         2.550011713026214e-10])fk: 1574.1481040506742  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59519,      20.274,    2.55e-10] fk: 
1574.148104         

        Parameter values: [0.59518546609210521, 20.273721965812864, 
1.9125200277654324e-10]
        Function value:   1574.1481039970226
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59518546609210521, 20.273721965812864, 
1.9125200277654324e-10]
Function value:   1574.1481040372616
Iterations:       11
Function calls:   69
Gradient calls:   15
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (1574.14810404 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.8              ,  50.000000000000007,   0.          
     ])fk: 4712.0674254790583  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,          50,           0] fk: 
4712.06742548       

        Parameter values: [0.56415845372742024, 15.094082240451225, 
0.095445775607080299]
        Function value:   3344.4055788559749
        Iterations:       7
        Function calls:   17
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  0.56415845372742 ,  15.094082240451225,   
0.09544577560708 ])fk: 3843.3685308649219  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56416,      15.094,    0.095446] fk: 
3842.85000687       

        Parameter values: [0.56902920615213981, 15.400764611924485, 
1.2872284075542298e-05]
        Function value:   3800.0232436206275
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.690292061521398e-01,   1.540076461192448e+01,
         1.287228407554230e-05])fk: 3800.0290893780707  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56903,      15.401,  1.2872e-05] fk: 
3800.02329333       

        Parameter values: [0.5690298630909939, 15.400806448177404, 
8.6806386759990823e-10]
        Function value:   3800.0232601924322
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.690298630909939e-01,   1.540080644817740e+01,
         8.680638675999082e-10])fk: 3800.0232605855331  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56903,      15.401,  8.6806e-10] fk: 
3800.02326019       

        Parameter values: [0.56902986313529735, 15.400806451063321, 
2.9270099545917418e-14]
        Function value:   3800.0232601924317
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.690298631352974e-01,   1.540080645106332e+01,
         2.927009954591742e-14])fk: 3800.0232601924449  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56903,      15.401,   2.927e-14] fk: 
3800.02326019       

        Parameter values: [0.5690298631352988, 15.400806451063408, 
6.5735124596791349e-19]
        Function value:   3800.0232601924317
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5690298631352988, 15.400806451063408, 
6.5735124596791349e-19]
Function value:   3800.0232601924317
Iterations:       14
Function calls:   52
Gradient calls:   19
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (3800.02326019 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 4355.801654161919   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
4355.80165416       

        Parameter values: [0.59317329938140118, 25.328316117263046, 
0.094745007856744584]
        Function value:   3573.0922165005759
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.593173299381401,  25.328316117263046,   
0.094745007856745])fk: 4071.7114693792923  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59317,      25.328,    0.094745] fk: 
4071.02109582       

        Parameter values: [0.59770902676755466, 25.819748180461623, 
1.6024788568132943e-05]
        Function value:   4022.0748717441097
        Iterations:       5
        Function calls:   40
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  5.977090267675547e-01,   2.581974818046162e+01,
         1.602478856813294e-05])fk: 4022.0832670785271  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82,  1.6025e-05] fk: 
4022.07494878       

        Parameter values: [0.59770979400377755, 25.819832277234052, 
1.355219614463933e-09]
        Function value:   4022.0748974278376
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.977097940037776e-01,   2.581983227723405e+01,
         1.355219614463933e-09])fk: 4022.0748981356605  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82,  1.3552e-09] fk: 
4022.07489743       

        Parameter values: [0.59770979406866853, 25.819832284512668, 
5.7300824235917193e-14]
        Function value:   4022.0748974278381
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.977097940686685e-01,   2.581983228451267e+01,
         5.730082423591719e-14])fk: 4022.0748974278681  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82,  5.7301e-14] fk: 
4022.07489743       

        Parameter values: [0.59770979406867064, 25.819832284512895, 
1.4326151804434994e-14]
        Function value:   4022.0748974278376
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.977097940686706e-01,   2.581983228451289e+01,
         1.432615180443499e-14])fk: 4022.0748974278449  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82,  1.4326e-14] fk: 
4022.07489743       

        Parameter values: [0.59770979406867175, 25.819832284513016, 
-7.1623974762578208e-15]
        Function value:   4022.0748974278363
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  5.977097940686718e-01,   2.581983228451302e+01,
        -7.162397476257821e-15])fk: 4022.0748974278326  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82, -7.1624e-15] fk: 
4022.07489743       

        Parameter values: [0.59770979406867175, 25.819832284513012, 
-6.2181400477737569e-15]
        Function value:   4022.0748974278358
        Iterations:       2
        Function calls:   15
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  5.977097940686718e-01,   2.581983228451301e+01,
        -6.218140047773757e-15])fk: 4022.0748974278326  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59771,       25.82, -6.2181e-15] fk: 
4022.07489743       

        Parameter values: [0.59770979406867175, 25.819832284513012, 
-6.2175707615098021e-15]
        Function value:   4022.0748974278358
        Iterations:       1
        Function calls:   17
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59770979406867175, 25.819832284513012, 
-6.2175707615098021e-15]
Function value:   4022.0748974278326
Iterations:       19
Function calls:   103
Gradient calls:   27
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (4022.07489743 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.8              ,  50.000000000000007,   0.          
     ])fk: 3283.6853569083055  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,          50,           0] fk: 
3283.68535691       

        Parameter values: [0.55883803507177754, 14.891935658047448, 
0.096964788813240624]
        Function value:   2094.0643024077563
        Iterations:       5
        Function calls:   14
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.558838035071778,  14.891935658047448,   
0.096964788813241])fk: 2593.603677060345   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55884,      14.892,    0.096965] fk: 
2593.37336439       

        Parameter values: [0.56404980866037868, 15.215805615376016, 
8.6025863758678867e-06]
        Function value:   2564.256192447283
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.640498086603787e-01,   1.521580561537602e+01,
         8.602586375867887e-06])fk: 2564.2587961134741  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56405,      15.216,  8.6026e-06] fk: 
2564.25621465       

        Parameter values: [0.56405027101243532, 15.215834691699975, 
3.817963537519392e-10]
        Function value:   2564.2561998483889
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.640502710124353e-01,   1.521583469169997e+01,
         3.817963537519392e-10])fk: 2564.256199963615   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56405,      15.216,   3.818e-10] fk: 
2564.25619985       

        Parameter values: [0.56405027103295591, 15.215834693021678, 
8.4724889669120063e-15]
        Function value:   2564.2561998483884
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.640502710329559e-01,   1.521583469302168e+01,
         8.472488966912006e-15])fk: 2564.2561998483911  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56405,      15.216,  8.4725e-15] fk: 
2564.25619985       

        Parameter values: [0.56405027103295613, 15.215834693021689, 
4.2362953561872348e-15]
        Function value:   2564.2561998483884
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56405027103295613, 15.215834693021689, 
4.2362953561872348e-15]
Function value:   2564.2561998483898
Iterations:       12
Function calls:   50
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (2564.25619985 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 10070.700538052157  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
10070.7005381       

        Parameter values: [0.44328896880973057, 7.5949067187349248, 
0.089402706115765326]
        Function value:   8569.3082866106597
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.443288968809731,  7.594906718734925,  
0.089402706115765])fk: 9563.6931547272179  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44329,      7.5949,    0.089403] fk: 
9560.88558879       

        Parameter values: [0.44886266803893793, 7.7913920499146769, 
2.6060831021125345e-05]
        Function value:   9469.1834486221869
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.488626680389379e-01,   7.791392049914677e+00,
         2.606083102112534e-05])fk: 9469.2109981340145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7914,  2.6061e-05] fk: 
9469.18365237       

        Parameter values: [0.44886429362930186, 7.791450631037204, 
3.7738930188311573e-09]
        Function value:   9469.1835165584089
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.488642936293019e-01,   7.791450631037204e+00,
         3.773893018831157e-09])fk: 9469.1835205380412  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915,  3.7739e-09] fk: 
9469.18351656       

        Parameter values: [0.44886429386462146, 7.7914506396107885, 
2.7518920805169824e-13]
        Function value:   9469.1835165584107
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.488642938646215e-01,   7.791450639610789e+00,
         2.751892080516982e-13])fk: 9469.1835165587017  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915,  2.7519e-13] fk: 
9469.18351656       

        Parameter values: [0.44886429386463855, 7.7914506396113943, 
9.8102507181087694e-18]
        Function value:   9469.1835165584089
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.488642938646386e-01,   7.791450639611394e+00,
         9.810250718108769e-18])fk: 9469.1835165584089  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44886,      7.7915,  9.8103e-18] fk: 
9469.18351656       

        Parameter values: [0.44886429386463855, 7.7914506396113978, 
1.6423258716511926e-19]
        Function value:   9469.1835165584089
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44886429386463855, 7.7914506396113978, 
1.6423258716511926e-19]
Function value:   9469.1835165584089
Iterations:       12
Function calls:   48
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (9469.18351656 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 12877.233178063123  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
12877.2331781       

        Parameter values: [0.42677319213886172, 4.5022115469365582, 
0.085799167469436152]
        Function value:   11585.219239512664
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.426773192138862,  4.502211546936558,  
0.085799167469436])fk: 12575.136057284608  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42677,      4.5022,    0.085799] fk: 
12570.0944662       

        Parameter values: [0.43215347877913934, 4.6168577134963824, 
3.4210980178227225e-05]
        Function value:   12453.587595369785
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.321534787791393e-01,   4.616857713496382e+00,
         3.421098017822722e-05])fk: 12453.63606077069   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43215,      4.6169,  3.4211e-05] fk: 
12453.5879465       

        Parameter values: [0.43215562440769484, 4.6169036395288243, 
6.8303202907469824e-09]
        Function value:   12453.587712455681
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.321556244076948e-01,   4.616903639528824e+00,
         6.830320290746982e-09])fk: 12453.587722108561  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169,  6.8303e-09] fk: 
12453.5877125       

        Parameter values: [0.43215562483611564, 4.6169036489310828, 
6.815715491200757e-13]
        Function value:   12453.587712455692
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.321556248361156e-01,   4.616903648931083e+00,
         6.815715491200757e-13])fk: 12453.587712456656  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169,  6.8157e-13] fk: 
12453.5877125       

        Parameter values: [0.43215562483615833, 4.616903648932003, 
3.4052999063738939e-17]
        Function value:   12453.587712455688
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.321556248361583e-01,   4.616903648932003e+00,
         3.405299906373894e-17])fk: 12453.587712455688  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      4.6169,  3.4053e-17] fk: 
12453.5877125       

        Parameter values: [0.43215562483615833, 4.6169036489320021, 
2.5560776678768537e-17]
        Function value:   12453.587712455688
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43215562483615833, 4.6169036489320021, 
2.5560776678768537e-17]
Function value:   12453.587712455688
Iterations:       11
Function calls:   48
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12453.5877125 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 5301.5647869842051  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
5301.56478698       

        Parameter values: [0.56651636944588568, 6.4550090555747408, 
0.094381269430123607]
        Function value:   4236.4136836932494
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.566516369445886,  6.455009055574741,  
0.094381269430124])fk: 5234.8351770324061  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56652,       6.455,    0.094381] fk: 
5234.0459237        

        Parameter values: [0.57175812404617077, 6.6069891876429523, 
1.4243714591612817e-05]
        Function value:   5181.9393150319211
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.717581240461708e-01,   6.606989187642952e+00,
         1.424371459161282e-05])fk: 5181.9472979030415  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607,  1.4244e-05] fk: 
5181.9393759        

        Parameter values: [0.57175891494883324, 6.6070120934232763, 
1.0768204273120936e-09]
        Function value:   5181.9393353233354
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.717589149488332e-01,   6.607012093423276e+00,
         1.076820427312094e-09])fk: 5181.9393359253045  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607,  1.0768e-09] fk: 
5181.93933532       

        Parameter values: [0.57175891500863907, 6.607012095218753, 
4.0652047665063613e-14]
        Function value:   5181.9393353233345
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.717589150086391e-01,   6.607012095218753e+00,
         4.065204766506361e-14])fk: 5181.9393353233572  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607,  4.0652e-14] fk: 
5181.93933532       

        Parameter values: [0.5717589150086414, 6.6070120952188232, 
6.5648091891422743e-19]
        Function value:   5181.9393353233336
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.717589150086414e-01,   6.607012095218823e+00,
         6.564809189142274e-19])fk: 5181.9393353233336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57176,       6.607,  6.5648e-19] fk: 
5181.93933532       

        Parameter values: [0.5717589150086414, 6.6070120952188232, 
3.534895718068974e-19]
        Function value:   5181.9393353233336
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5717589150086414, 6.6070120952188232, 
3.534895718068974e-19]
Function value:   5181.9393353233336
Iterations:       14
Function calls:   66
Gradient calls:   20
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5181.93933532 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 3793.9008961135901  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
3793.90089611       

        Parameter values: [0.38323421278312542, 2.1084993896476312, 
0.095584853914637058]
        Function value:   2752.7587283654088
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.383234212783125,  2.108499389647631,  
0.095584853914637])fk: 3751.7840526176542  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38323,      2.1085,    0.095585] fk: 
3751.29671474       

        Parameter values: [0.38935989253364617, 2.1684936365305174, 
1.2388254367506153e-05]
        Function value:   3709.7003528831779
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  3.893598925336462e-01,   2.168493636530517e+00,
         1.238825436750615e-05])fk: 3709.705807131571   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685,  1.2388e-05] fk: 
3709.70039892       

        Parameter values: [0.3893606864987762, 2.1685014949834303, 
8.0290544039435632e-10]
        Function value:   3709.7003682320524
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.893606864987762e-01,   2.168501494983430e+00,
         8.029054403943563e-10])fk: 3709.7003685845575  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685,  8.0291e-10] fk: 
3709.70036823       

        Parameter values: [0.38936068655023565, 2.1685014955035444, 
2.6023857472622957e-14]
        Function value:   3709.7003682320506
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.893606865502356e-01,   2.168501495503544e+00,
         2.602385747262296e-14])fk: 3709.7003682320619  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685,  2.6024e-14] fk: 
3709.70036823       

        Parameter values: [0.38936068655023576, 2.1685014955035458, 
2.4349748829783768e-14]
        Function value:   3709.7003682320501
        Iterations:       2
        Function calls:   18
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  3.893606865502358e-01,   2.168501495503546e+00,
         2.434974882978377e-14])fk: 3709.700368232061   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.38936,      2.1685,   2.435e-14] fk: 
3709.70036823       

        Parameter values: [0.38936068655023576, 2.1685014955035458, 
2.4345290299213115e-14]
        Function value:   3709.7003682320501
        Iterations:       1
        Function calls:   16
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.38936068655023576, 2.1685014955035458, 
2.4345290299213115e-14]
Function value:   3709.700368232061
Iterations:       13
Function calls:   75
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3709.70036823 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 22405.269647623354  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
22405.2696476       

        Parameter values: [0.61219482116501422, 21.083089460526882, 
0.075691037851614892]
        Function value:   21106.420969432336
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.612194821165014,  21.083089460526882,   
0.075691037851615])fk: 21576.874687395757  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61219,      21.083,    0.075691] fk: 
21562.1015464       

        Parameter values: [0.61623524642473138, 21.476507910144043, 
5.2063548171432257e-05]
        Function value:   21393.271695198509
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.162352464247314e-01,   2.147650791014404e+01,
         5.206354817143226e-05])fk: 21393.397985219384  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477,  5.2064e-05] fk: 
21393.2725084       

        Parameter values: [0.61623802652030824, 21.47678146855721, 
1.7913160379963477e-08]
        Function value:   21393.271966446329
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.162380265203082e-01,   2.147678146855721e+01,
         1.791316037996348e-08])fk: 21393.272009804772  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477,  1.7913e-08] fk: 
21393.2719664       

        Parameter values: [0.61623802747697609, 21.476781564681822, 
3.0825720104414126e-12]
        Function value:   21393.271966446391
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.162380274769761e-01,   2.147678156468182e+01,
         3.082572010441413e-12])fk: 21393.271966453853  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.61624,      21.477,  3.0826e-12] fk: 
21393.2719664       

        Parameter values: [0.61623802747698642, 21.476781564682835, 
2.8899278470360002e-12]
        Function value:   21393.271966446391
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.61623802747698642, 21.476781564682835, 
2.8899278470360002e-12]
Function value:   21393.271966453387
Iterations:       11
Function calls:   40
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (21393.2719665 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 8044.5851101603221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
8044.58511016       

        Parameter values: [0.47774603445521929, 7.5970725729342066, 
0.09040922394525365]
        Function value:   6797.6857112379967
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.477746034455219,  7.597072572934207,  
0.090409223945254])fk: 7793.0865619713823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47775,      7.5971,    0.090409] fk: 
7790.78698734       

        Parameter values: [0.48321968229096629, 7.7816920219114873, 
2.6651899048114591e-05]
        Function value:   7706.618037258565
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.832196822909663e-01,   7.781692021911487e+00,
         2.665189904811459e-05])fk: 7706.6435274657133  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817,  2.6652e-05] fk: 
7706.61825036       

        Parameter values: [0.48322129608384828, 7.7817470352216178, 
3.929714312446821e-09]
        Function value:   7706.6181083118818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.832212960838483e-01,   7.781747035221618e+00,
         3.929714312446821e-09])fk: 7706.618112059833   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817,  3.9297e-09] fk: 
7706.61810831       

        Parameter values: [0.48322129632180533, 7.7817470435068827, 
2.8982430669210939e-13]
        Function value:   7706.6181083118854
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.832212963218053e-01,   7.781747043506883e+00,
         2.898243066921094e-13])fk: 7706.6181083121619  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817,  2.8982e-13] fk: 
7706.61810831       

        Parameter values: [0.48322129632182292, 7.7817470435074814, 
1.0873116671573725e-17]
        Function value:   7706.6181083118836
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.832212963218229e-01,   7.781747043507481e+00,
         1.087311667157372e-17])fk: 7706.6181083118836  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817,  1.0873e-17] fk: 
7706.61810831       

        Parameter values: [0.48322129632182287, 7.7817470435074849, 
-6.8264733670736225e-20]
        Function value:   7706.6181083118827
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.832212963218229e-01,   7.781747043507485e+00,
        -6.826473367073623e-20])fk: 7706.6181083118827  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817, -6.8265e-20] fk: 
7706.61810831       

        Parameter values: [0.48322129632182287, 7.781747043507484, 
-3.8627898360803415e-20]
        Function value:   7706.6181083118818
        Iterations:       2
        Function calls:   10
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  4.832212963218229e-01,   7.781747043507484e+00,
        -3.862789836080341e-20])fk: 7706.6181083118818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48322,      7.7817, -3.8628e-20] fk: 
7706.61810831       

        Parameter values: [0.48322129632182287, 7.781747043507484, 
-3.1041462065531998e-20]
        Function value:   7706.6181083118818
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.48322129632182287, 7.781747043507484, 
-3.1041462065531998e-20]
Function value:   7706.6181083118818
Iterations:       16
Function calls:   67
Gradient calls:   24
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (7706.61810831 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 8036.7257655587882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
8036.72576556       

        Parameter values: [0.58079684167254964, 10.107773673411915, 
0.091325091341539266]
        Function value:   6670.9744334558873
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.58079684167255 ,  10.107773673411915,   
0.091325091341539])fk: 7667.2117314442548  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5808,      10.108,    0.091325] fk: 
7665.33038044       

        Parameter values: [0.58585548840689405, 10.329851970835012, 
2.2429838088148897e-05]
        Function value:   7588.1928568976973
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.858554884068941e-01,   1.032985197083501e+01,
         2.242983808814890e-05])fk: 7588.2122642675977  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33,   2.243e-05] fk: 
7588.19300783       

        Parameter values: [0.58585673093967405, 10.329907168950681, 
2.7552903900599629e-09]
        Function value:   7588.19290721982
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.858567309396741e-01,   1.032990716895068e+01,
         2.755290390059963e-09])fk: 7588.1929095976475  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33,  2.7553e-09] fk: 
7588.19290722       

        Parameter values: [0.58585673109231384, 10.329907175896359, 
1.6925704459619096e-13]
        Function value:   7588.1929072198191
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.858567310923138e-01,   1.032990717589636e+01,
         1.692570445961910e-13])fk: 7588.1929072199655  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58586,       10.33,  1.6926e-13] fk: 
7588.19290722       

        Parameter values: [0.58585673109231384, 10.329907175896359, 
1.6917440208839965e-13]
        Function value:   7588.1929072198191
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58585673109231384, 10.329907175896359, 
1.6917440208839965e-13]
Function value:   7588.1929072199655
Iterations:       12
Function calls:   57
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (7588.19290722 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.9              ,  50.000000000000007,   0.          
     ])fk: 10605.966500561553  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,          50,           0] fk: 
10605.9665006       

        Parameter values: [0.79806347516525777, 24.266562452421326, 
0.088961159473204945]
        Function value:   9920.1807538522826
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.798063475165258,  24.266562452421326,   
0.088961159473205])fk: 10414.087953843482  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79806,      24.267,    0.088961] fk: 
10411.0415538       

        Parameter values: [0.80205561898479016, 24.894226555237655, 
2.6061138969419244e-05]
        Function value:   10316.117001585855
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  8.020556189847902e-01,   2.489422655523765e+01,
         2.606113896941924e-05])fk: 10316.145702143262  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894,  2.6061e-05] fk: 
10316.1172053       

        Parameter values: [0.80205678873372099, 24.89441424026689, 
3.8173257655965806e-09]
        Function value:   10316.117069524053
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.020567887337210e-01,   2.489441424026689e+01,
         3.817325765596581e-09])fk: 10316.117073718036  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894,  3.8173e-09] fk: 
10316.1170695       

        Parameter values: [0.80205678890509835, 24.89441426889341, 
2.7950982502112076e-13]
        Function value:   10316.117069524051
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.020567889050984e-01,   2.489441426889341e+01,
         2.795098250211208e-13])fk: 10316.117069524358  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894,  2.7951e-13] fk: 
10316.1170695       

        Parameter values: [0.8020567889051109, 24.894414268895417, 
1.0121400200384869e-17]
        Function value:   10316.117069524047
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.020567889051109e-01,   2.489441426889542e+01,
         1.012140020038487e-17])fk: 10316.117069524047  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80206,      24.894,  1.0121e-17] fk: 
10316.1170695       

        Parameter values: [0.8020567889051109, 24.894414268895417, 
1.2801848002570045e-19]
        Function value:   10316.117069524047
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8020567889051109, 24.894414268895417, 
1.2801848002570045e-19]
Function value:   10316.117069524047
Iterations:       13
Function calls:   50
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10316.1170695 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 11421.658300851494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
11421.6583009       

        Parameter values: [0.42478142392641627, 4.2678077861995583, 
0.087900096272140765]
        Function value:   10292.619763146995
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.424781423926416,  4.267807786199558,  
0.087900096272141])fk: 11285.299379635822  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42478,      4.2678,      0.0879] fk: 
11281.6391879       

        Parameter values: [0.430291527113287, 4.389867888380774, 
2.821157032353421e-05]
        Function value:   11179.189056880075
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.302915271132870e-01,   4.389867888380774e+00,
         2.821157032353421e-05])fk: 11179.223113019298  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899,  2.8212e-05] fk: 
11179.1892956       

        Parameter values: [0.4302932958174015, 4.3899074929808037, 
4.5295937858058134e-09]
        Function value:   11179.189136494901
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.302932958174015e-01,   4.389907492980804e+00,
         4.529593785805813e-09])fk: 11179.189141950104  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899,  4.5296e-09] fk: 
11179.1891365       

        Parameter values: [0.43029329610138878, 4.3899074994771574, 
3.6390452886450733e-13]
        Function value:   11179.189136494906
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.302932961013888e-01,   4.389907499477157e+00,
         3.639045288645073e-13])fk: 11179.189136495344  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899,   3.639e-13] fk: 
11179.1891365       

        Parameter values: [0.43029329610141159, 4.389907499477677, 
1.4399209761435586e-17]
        Function value:   11179.189136494904
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.302932961014116e-01,   4.389907499477677e+00,
         1.439920976143559e-17])fk: 11179.189136494904  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43029,      4.3899,  1.4399e-17] fk: 
11179.1891365       

        Parameter values: [0.43029329610141159, 4.389907499477677, 
1.2602851151158974e-17]
        Function value:   11179.189136494904
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43029329610141159, 4.389907499477677, 
1.2602851151158974e-17]
Function value:   11179.189136494904
Iterations:       12
Function calls:   51
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11179.1891365 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 3030.0863375220893  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
3030.08633752       

        Parameter values: [0.60278860288026359, 7.7679020371482581, 
0.096885549725999873]
        Function value:   1976.3114856983486
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.602788602880264,  7.767902037148258,  0.096885549726 
  ])fk: 2975.8264956728876  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60279,      7.7679,    0.096886] fk: 
2975.58400066       

        Parameter values: [0.60850716689869611, 7.9680928013583516, 
7.8987573422120531e-06]
        Function value:   2945.7284988801962
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  6.085071668986961e-01,   7.968092801358352e+00,
         7.898757342212053e-06])fk: 2945.7309526698564  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60851,      7.9681,  7.8988e-06] fk: 
2945.7285176        

        Parameter values: [0.60850763291090026, 7.9681087978269911, 
3.236412143581166e-10]
        Function value:   2945.7285051197478
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.085076329109003e-01,   7.968108797826991e+00,
         3.236412143581166e-10])fk: 2945.7285052200327  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60851,      7.9681,  3.2364e-10] fk: 
2945.72850512       

        Parameter values: [0.60850763293000043, 7.9681087985228958, 
6.6063923543575328e-15]
        Function value:   2945.7285051197473
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.085076329300004e-01,   7.968108798522896e+00,
         6.606392354357533e-15])fk: 2945.7285051197496  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60851,      7.9681,  6.6064e-15] fk: 
2945.72850512       

        Parameter values: [0.60850763293000065, 7.9681087985229047, 
3.3032690615297479e-15]
        Function value:   2945.7285051197473
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60850763293000065, 7.9681087985229047, 
3.3032690615297479e-15]
Function value:   2945.7285051197482
Iterations:       12
Function calls:   60
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (2945.72850512 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114,    0.       
        ])fk: 8799.1947964824103  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500,           0] fk: 
8799.19479648       

        Parameter values: [-0.00036357396239710099, 9115.5793152974566, 
0.099600686036467448]
        Function value:   -474.89164017477702
        Iterations:       13
        Function calls:   36
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([ -3.635739623971010e-04,   9.115579315297457e+03,
         9.960068603646745e-02])fk: 25.093777941842784  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00036357,      9115.6,    0.099601] fk: 
25.116228856        

        Parameter values: [0.00015395500308021962, 9188.4295476605748, 
6.9332796707702231e-05]
        Function value:   21.81489146207452
        Iterations:       5
        Function calls:   23
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  1.539550030802196e-04,   9.188429547660575e+03,
         6.933279670770223e-05])fk: 21.820406502542934  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00015396,      9188.4,  6.9333e-05] fk: 
21.8195185519       

        Parameter values: [2.7760421450423579e-07, 9190.8375532951741, 
1.4393759690893075e-07]
        Function value:   21.817752924027477
        Iterations:       4
        Function calls:   37
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 3       xk: array([  2.776042145042358e-07,   9.190837553295174e+03,
         1.439375969089307e-07])fk: 21.817758201435939  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   2.776e-07,      9190.8,  1.4394e-07] fk: 
21.8177529827       

        Parameter values: [2.5782420109522843e-10, 9190.8419145465541, 
1.3320885531010563e-10]
        Function value:   21.817752943620519
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.578242010952284e-10,   9.190841914546554e+03,
         1.332088553101056e-10])fk: 21.817752948491407  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.5782e-10,      9190.8,  1.3321e-10] fk: 
21.8177529436       

        Parameter values: [1.1967060274818397e-13, 9190.8419185984403, 
6.183911766510392e-14]
        Function value:   21.817752943620533
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  1.196706027481840e-13,   9.190841918598440e+03,
         6.183911766510392e-14])fk: 21.817752943622796  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.1967e-13,      9190.8,  6.1839e-14] fk: 
21.8177529436       

        Parameter values: [2.796650433383043e-17, 9190.8419186003139, 
1.4432542680999099e-17]
        Function value:   21.817752943620455
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  2.796650433383043e-17,   9.190841918600314e+03,
         1.443254268099910e-17])fk: 21.817752943620455  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.7967e-17,      9190.8,  1.4433e-17] fk: 
21.8177529436       

        Parameter values: [-8.1559163154345962e-21, 9190.8419186003157, 
1.2641148202971095e-21]
        Function value:   21.817752943620455
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-8.1559163154345962e-21, 9190.8419186003157, 
1.2641148202971095e-21]
Function value:   21.817752943620455
Iterations:       27
Function calls:   110
Gradient calls:   34
Hessian calls:    27
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (21.8177529436 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 2785.8942213662008  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
2785.89422137       

        Parameter values: [0.36909231831243566, 2.281593350271363, 
0.096941720208613594]
        Function value:   1666.9828950947413
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.369092318312436,  2.281593350271363,  
0.096941720208614])fk: 2666.5152413306214  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.36909,      2.2816,    0.096942] fk: 
2666.28141445       

        Parameter values: [0.37538839125102408, 2.3471227318314742, 
8.485340790723194e-06]
        Function value:   2636.9500077205053
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  3.753883912510241e-01,   2.347122731831474e+00,
         8.485340790723194e-06])fk: 2636.952595575031   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37539,      2.3471,  8.4853e-06] fk: 
2636.95002932       

        Parameter values: [0.37538894237103232, 2.3471285281398937, 
3.71399715127195e-10]
        Function value:   2636.9500149212367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.753889423710323e-01,   2.347128528139894e+00,
         3.713997151271950e-10])fk: 2636.950015034191   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37539,      2.3471,   3.714e-10] fk: 
2636.95001492       

        Parameter values: [0.37538894239515502, 2.3471285283989265, 
8.1294350317398689e-15]
        Function value:   2636.9500149212363
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.753889423951550e-01,   2.347128528398926e+00,
         8.129435031739869e-15])fk: 2636.9500149212386  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37539,      2.3471,  8.1294e-15] fk: 
2636.95001492       

        Parameter values: [0.3753889423951553, 2.34712852839893, 
4.0647598618156094e-15]
        Function value:   2636.9500149212363
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.3753889423951553, 2.34712852839893, 
4.0647598618156094e-15]
Function value:   2636.9500149212377
Iterations:       11
Function calls:   45
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2636.95001492 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 12396.229978120295  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
12396.2299781       

        Parameter values: [0.60456948547262668, 15.3580647740889, 
0.086961274146280201]
        Function value:   11177.967365377224
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.604569485472627,  15.3580647740889  ,   
0.08696127414628 ])fk: 12169.466946782803  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60457,      15.358,    0.086961] fk: 
12165.2167375       

        Parameter values: [0.60936563483387673, 15.707581158231303, 
3.0500147611689161e-05]
        Function value:   12056.345744216049
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  6.093656348338767e-01,   1.570758115823130e+01,
         3.050014761168916e-05])fk: 12056.385419496468  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60937,      15.708,    3.05e-05] fk: 
12056.3460233       

        Parameter values: [0.60936731724291393, 15.707705258458507, 
5.3504996843002249e-09]
        Function value:   12056.34583727459
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.093673172429139e-01,   1.570770525845851e+01,
         5.350499684300225e-09])fk: 12056.345844218316  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60937,      15.708,  5.3505e-09] fk: 
12056.3458373       

        Parameter values: [0.60936731753805928, 15.707705280760573, 
4.6949719429015961e-13]
        Function value:   12056.345837274595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.093673175380593e-01,   1.570770528076057e+01,
         4.694971942901596e-13])fk: 12056.345837275205  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.60937,      15.708,   4.695e-13] fk: 
12056.3458373       

        Parameter values: [0.60936731753808526, 15.707705280762491, 
2.0816832504364363e-17]
        Function value:   12056.345837274595
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60936731753808526, 15.707705280762491, 
2.0816832504364363e-17]
Function value:   12056.345837274595
Iterations:       12
Function calls:   47
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (12056.3458373 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 16397.160174027202  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
16397.160174        

        Parameter values: [0.42002945449299772, 6.6894926457967578, 
0.083277229063251967]
        Function value:   14951.892549529397
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.420029454492998,  6.689492645796758,  
0.083277229063252])fk: 15937.909996139249  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42003,      6.6895,    0.083277] fk: 
15930.9187194       

        Parameter values: [0.42539533833111254, 6.8669196371428329, 
3.5978490751615486e-05]
        Function value:   15798.946972896229
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.253953383311125e-01,   6.866919637142833e+00,
         3.597849075161549e-05])fk: 15799.007009456998  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,      6.8669,  3.5978e-05] fk: 
15798.9473612       

        Parameter values: [0.42539765702236915, 6.8669971036687647, 
7.7766904002087652e-09]
        Function value:   15798.947102397367
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.253976570223691e-01,   6.866997103668765e+00,
         7.776690400208765e-09])fk: 15798.947115346176  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,       6.867,  7.7767e-09] fk: 
15798.9471024       

        Parameter values: [0.42539765752358438, 6.8669971207616163, 
8.4121177440331159e-13]
        Function value:   15798.947102397382
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.253976575235844e-01,   6.866997120761616e+00,
         8.412117744033116e-13])fk: 15798.947102398783  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,       6.867,  8.4121e-13] fk: 
15798.9471024       

        Parameter values: [0.42539765752363851, 6.8669971207634308, 
4.5224272499149601e-17]
        Function value:   15798.947102397378
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.253976575236385e-01,   6.866997120763431e+00,
         4.522427249914960e-17])fk: 15798.947102397378  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4254,       6.867,  4.5224e-17] fk: 
15798.9471024       

        Parameter values: [0.42539765752363856, 6.8669971207634219, 
-1.0435268800275158e-19]
        Function value:   15798.947102397378
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42539765752363856, 6.8669971207634219, 
-1.0435268800275158e-19]
Function value:   15798.947102397378
Iterations:       12
Function calls:   38
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (15798.9471024 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 13131.70464441924   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
13131.7046444       

        Parameter values: [0.51747353067235835, 10.86535851633821, 
0.086228227110800068]
        Function value:   11860.408477690402
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.517473530672358,  10.86535851633821 ,   
0.0862282271108  ])fk: 12850.925391264816  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.51747,      10.865,    0.086228] fk: 
12846.1838481       

        Parameter values: [0.52250474416953285, 11.120232853985479, 
3.1725971266625909e-05]
        Function value:   12732.447378421219
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.225047441695329e-01,   1.112023285398548e+01,
         3.172597126662591e-05])fk: 12732.49097005459   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5225,       11.12,  3.1726e-05] fk: 
12732.4476804       

        Parameter values: [0.52250659557428714, 11.120327655414954, 
5.8390916916884177e-09]
        Function value:   12732.447479111986
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.225065955742871e-01,   1.112032765541495e+01,
         5.839091691688418e-09])fk: 12732.447487116393  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12,  5.8391e-09] fk: 
12732.4474791       

        Parameter values: [0.52250659591503945, 11.120327673239311, 
5.3766807004436516e-13]
        Function value:   12732.447479112001
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.225065959150395e-01,   1.112032767323931e+01,
         5.376680700443652e-13])fk: 12732.447479112738  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12,  5.3767e-13] fk: 
12732.4474791       

        Parameter values: [0.52250659591507065, 11.120327673240903, 
2.4682217943195698e-17]
        Function value:   12732.447479111999
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.225065959150706e-01,   1.112032767324090e+01,
         2.468221794319570e-17])fk: 12732.447479111999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52251,       11.12,  2.4682e-17] fk: 
12732.4474791       

        Parameter values: [0.52250659591507065, 11.120327673240903, 
2.3139111707799207e-17]
        Function value:   12732.447479111999
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52250659591507065, 11.120327673240903, 
2.3139111707799207e-17]
Function value:   12732.447479111999
Iterations:       12
Function calls:   52
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (12732.4474791 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 4649.4365893184213  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
4649.43658932       

        Parameter values: [0.41573378598582428, 4.9650800878484782, 
0.095543672862425974]
        Function value:   3375.1669324161071
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.415733785985824,  4.965080087848478,  
0.095543672862426])fk: 4374.173989838253   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41573,      4.9651,    0.095544] fk: 
4373.67751855       

        Parameter values: [0.42190331451342289, 5.0994914390669512, 
1.0803694452312016e-05]
        Function value:   4331.6998062136108
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.219033145134229e-01,   5.099491439066951e+00,
         1.080369445231202e-05])fk: 4331.7046090213071  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4219,      5.0995,  1.0804e-05] fk: 
4331.69984123       

        Parameter values: [0.42190401217127854, 5.0995068068036211, 
6.1101027497353769e-10]
        Function value:   4331.6998178869117
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.219040121712785e-01,   5.099506806803621e+00,
         6.110102749735377e-10])fk: 4331.6998181578774  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4219,      5.0995,  6.1101e-10] fk: 
4331.69981789       

        Parameter values: [0.4219040121712882, 5.0995068068038378, 
6.1086110676232604e-10]
        Function value:   4331.6998178869117
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4219040121712882, 5.0995068068038378, 
6.1086110676232604e-10]
Function value:   4331.699818157811
Iterations:       10
Function calls:   54
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4331.69981816 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 10685.89559493526   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
10685.8955949       

        Parameter values: [0.52508990380191822, 7.2745679187716652, 
0.089087927139577236]
        Function value:   9468.8691797834326
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.525089903801918,  7.274567918771665,  
0.089087927139577])fk: 10462.915513077873  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52509,      7.2746,    0.089088] fk: 
10459.9386797       

        Parameter values: [0.53034257235150661, 7.446076467538977, 
2.5303513901639174e-05]
        Function value:   10365.927531577196
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.303425723515066e-01,   7.446076467538977e+00,
         2.530351390163917e-05])fk: 10365.955078929146  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461,  2.5304e-05] fk: 
10365.9277237       

        Parameter values: [0.53034406444401205, 7.4461257405819046, 
3.5944504390377603e-09]
        Function value:   10365.927595622168
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.303440644440121e-01,   7.446125740581905e+00,
         3.594450439037760e-09])fk: 10365.927599526267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461,  3.5945e-09] fk: 
10365.9275956       

        Parameter values: [0.53034406465597639, 7.44612574774054, 
2.5538826338237956e-13]
        Function value:   10365.927595622174
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.303440646559764e-01,   7.446125747740540e+00,
         2.553882633823796e-13])fk: 10365.92759562245   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461,  2.5539e-13] fk: 
10365.9275956       

        Parameter values: [0.53034406465599127, 7.4461257477410374, 
9.0269323382987305e-18]
        Function value:   10365.927595622166
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.303440646559913e-01,   7.446125747741037e+00,
         9.026932338298730e-18])fk: 10365.927595622166  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53034,      7.4461,  9.0269e-18] fk: 
10365.9275956       

        Parameter values: [0.53034406465599127, 7.4461257477410419, 
4.5020073928112078e-18]
        Function value:   10365.927595622166
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.53034406465599127, 7.4461257477410419, 
4.5020073928112078e-18]
Function value:   10365.927595622166
Iterations:       13
Function calls:   51
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10365.9275956 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 5192.4133261059078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
5192.41332611       

        Parameter values: [0.59694648788844806, 8.2289408029662088, 
0.094620893230677405]
        Function value:   4059.6306036448559
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.596946487888448,  8.228940802966209,  
0.094620893230677])fk: 5058.1838641630675  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59695,      8.2289,    0.094621] fk: 
5057.46049442       

        Parameter values: [0.60219730348423872, 8.4200113386227535, 
1.3543209657963925e-05]
        Function value:   5007.4144204166414
        Iterations:       4
        Function calls:   39
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  6.021973034842387e-01,   8.420011338622754e+00,
         1.354320965796393e-05])fk: 5007.4216871118642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6022,        8.42,  1.3543e-05] fk: 
5007.41447544       

        Parameter values: [0.60219805349795452, 8.4200385481266853, 
9.8031906317335034e-10]
        Function value:   5007.4144387611823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.021980534979545e-01,   8.420038548126685e+00,
         9.803190631733503e-10])fk: 5007.4144392858507  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6022,        8.42,  9.8032e-10] fk: 
5007.41443876       

        Parameter values: [0.60219805355235367, 8.4200385501812764, 
3.5108098673936534e-14]
        Function value:   5007.4144387611814
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.021980535523537e-01,   8.420038550181276e+00,
         3.510809867393653e-14])fk: 5007.4144387612005  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6022,        8.42,  3.5108e-14] fk: 
5007.41443876       

        Parameter values: [0.60219805355235556, 8.4200385501813582, 
8.1453399488321103e-19]
        Function value:   5007.4144387611814
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.60219805355235556, 8.4200385501813582, 
8.1453399488321103e-19]
Function value:   5007.4144387611814
Iterations:       12
Function calls:   59
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5007.41443876 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 44841.325604612859  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
44841.3256046       

        Parameter values: [0.4476563025904135, 11.167184461685187, 
0.049912803567417341]
        Function value:   41911.702000592762
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.447656302590414,  11.167184461685187,   
0.049912803567417])fk: 42786.265638268953  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44766,      11.167,    0.049913] fk: 
42723.5474571       

        Parameter values: [0.45072251578875044, 11.342198868897118, 
7.2093054285845827e-05]
        Function value:   42536.626186239293
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.507225157887504e-01,   1.134219886889712e+01,
         7.209305428584583e-05])fk: 42536.986760395594  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45072,      11.342,  7.2093e-05] fk: 
42536.6277455       

        Parameter values: [0.45072694760131748, 11.342453366074604, 
5.2123655596067167e-08]
        Function value:   42536.626706731688
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  4.507269476013175e-01,   1.134245336607460e+01,
         5.212365559606717e-08])fk: 42536.626967052369  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45073,      11.342,  5.2124e-08] fk: 
42536.6267067       

        Parameter values: [0.45072695080669917, 11.342453550145372, 
1.8849713426678346e-11]
        Function value:   42536.626706732248
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.507269508066992e-01,   1.134245355014537e+01,
         1.884971342667835e-11])fk: 42536.626706826391  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45073,      11.342,   1.885e-11] fk: 
42536.6267067       

        Parameter values: [0.45072695080785835, 11.342453550211939, 
3.4080194953444094e-15]
        Function value:   42536.626706732248
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45072695080785835, 11.342453550211939, 
3.4080194953444094e-15]
Function value:   42536.626706732262
Iterations:       12
Function calls:   37
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (42536.6267067 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 36148.358718026713  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
36148.358718        

        Parameter values: [0.45822755488125733, 11.924544694759661, 
0.06026522293670375]
        Function value:   33652.479019127721
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.458227554881257,  11.924544694759661,   
0.060265222936704])fk: 34573.536393714225  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45823,      11.925,    0.060265] fk: 
34534.065081        

        Parameter values: [0.46191491986319944, 12.13607484360554, 
6.8065083413474417e-05]
        Function value:   34334.484021842167
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.619149198631994e-01,   1.213607484360554e+01,
         6.806508341347442e-05])fk: 34334.754013648133  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46191,      12.136,  6.8065e-05] fk: 
34334.4854117       

        Parameter values: [0.46191908667993659, 12.136315623777385, 
3.8472374143052736e-08]
        Function value:   34334.484485651439
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  4.619190866799366e-01,   1.213631562377739e+01,
         3.847237414305274e-08])fk: 34334.484637996538  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46192,      12.136,  3.8472e-08] fk: 
34334.4844857       

        Parameter values: [0.46191908903580892, 12.136315759912957, 
1.087593310115857e-11]
        Function value:   34334.484485651737
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.619190890358089e-01,   1.213631575991296e+01,
         1.087593310115857e-11])fk: 34334.484485694804  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46192,      12.136,  1.0876e-11] fk: 
34334.4844857       

        Parameter values: [0.46191908903597545, 12.136315759922578, 
8.1573343311414e-12]
        Function value:   34334.484485651737
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46191908903597545, 12.136315759922578, 
8.1573343311414e-12]
Function value:   34334.484485684043
Iterations:       12
Function calls:   39
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (34334.4844857 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.7,  0. ,  0. ])                                      
  fk: 24069.884505342128  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,           0,           0] fk: 
24069.8845053       

        Parameter values: [0.68095991401164557, 18.00376458610517, 
0.073508401005128399]
        Function value:   22611.218929002007
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.680959914011646,  18.00376458610517 ,   
0.073508401005128])fk: 23576.128688136752  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.68096,      18.004,    0.073508] fk: 
23558.5835677       

        Parameter values: [0.6845974863216443, 18.326427594196215, 
5.5137320092022723e-05]
        Function value:   23381.798476343738
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.845974863216443e-01,   1.832642759419621e+01,
         5.513732009202272e-05])fk: 23381.944239908684  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6846,      18.326,  5.5137e-05] fk: 
23381.7993884       

        Parameter values: [0.68460021580380737, 18.326672418032867, 
2.0687233303430313e-08]
        Function value:   23381.798780584275
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.846002158038074e-01,   1.832667241803287e+01,
         2.068723330343031e-08])fk: 23381.798835159851  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6846,      18.327,  2.0687e-08] fk: 
23381.7987806       

        Parameter values: [0.68460021682808503, 18.326672511972653, 
3.8817334592158077e-12]
        Function value:   23381.79878058434
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.846002168280850e-01,   1.832667251197265e+01,
         3.881733459215808e-12])fk: 23381.798780594581  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.6846,      18.327,  3.8817e-12] fk: 
23381.7987806       

        Parameter values: [0.68460021682827732, 18.326672511989919, 
3.6512929804090398e-16]
        Function value:   23381.79878058434
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.68460021682827732, 18.326672511989919, 
3.6512929804090398e-16]
Function value:   23381.79878058434
Iterations:       11
Function calls:   35
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (23381.7987806 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 7439.6317790309622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
7439.63177903       

        Parameter values: [0.47347131189224279, 3.5896080414628457, 
0.090706524718608003]
        Function value:   6373.1593157861489
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.473471311892243,  3.589608041462846,  
0.090706524718608])fk: 7368.8408816458568  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47347,      3.5896,    0.090707] fk: 
7366.68166458       

        Parameter values: [0.47878634079304255, 3.6748231525094979, 
2.6577454165083864e-05]
        Function value:   7284.7840652030227
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.787863407930426e-01,   3.674823152509498e+00,
         2.657745416508386e-05])fk: 7284.8086942582486  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748,  2.6577e-05] fk: 
7284.78427711       

        Parameter values: [0.47878789796212978, 3.674848344146358, 
3.902628379090316e-09]
        Function value:   7284.7841358599153
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.787878979621298e-01,   3.674848344146358e+00,
         3.902628379090316e-09])fk: 7284.7841394660663  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748,  3.9026e-09] fk: 
7284.78413586       

        Parameter values: [0.47878789819084999, 3.6748483479252303, 
2.8600913454244825e-13]
        Function value:   7284.784135859918
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.787878981908500e-01,   3.674848347925230e+00,
         2.860091345424483e-13])fk: 7284.7841358601827  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748,  2.8601e-13] fk: 
7284.78413586       

        Parameter values: [0.47878789819086681, 3.6748483479254985, 
1.0446213679725207e-17]
        Function value:   7284.7841358599171
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.787878981908668e-01,   3.674848347925499e+00,
         1.044621367972521e-17])fk: 7284.7841358599171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47879,      3.6748,  1.0446e-17] fk: 
7284.78413586       

        Parameter values: [0.47878789819086681, 3.674848347925499, 
5.2826951369113065e-18]
        Function value:   7284.7841358599171
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47878789819086681, 3.674848347925499, 
5.2826951369113065e-18]
Function value:   7284.7841358599171
Iterations:       11
Function calls:   46
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7284.78413586 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 16299.20115909464   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
16299.2011591       

        Parameter values: [0.37744315285284114, 3.9862389039263211, 
0.082925313465972872]
        Function value:   14863.013266171063
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.377443152852841,  3.986238903926321,  
0.082925313465973])fk: 15848.436020159297  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.37744,      3.9862,    0.082925] fk: 
15841.1473972       

        Parameter values: [0.38289907154784447, 4.0930716866379653, 
3.775738241548678e-05]
        Function value:   15707.156718282284
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  3.828990715478445e-01,   4.093071686637965e+00,
         3.775738241548678e-05])fk: 15707.221045267201  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.3829,      4.0931,  3.7757e-05] fk: 
15707.157146        

        Parameter values: [0.38290155627123074, 4.0931208196672184, 
8.5999861559903946e-09]
        Function value:   15707.156860909226
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.829015562712307e-01,   4.093120819667218e+00,
         8.599986155990395e-09])fk: 15707.156875528475  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.3829,      4.0931,     8.6e-09] fk: 
15707.1568609       

        Parameter values: [0.38290155683723115, 4.0931208310795775, 
9.799687259964812e-13]
        Function value:   15707.156860909234
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.829015568372311e-01,   4.093120831079577e+00,
         9.799687259964812e-13])fk: 15707.1568609109    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.3829,      4.0931,  9.7997e-13] fk: 
15707.1568609       

        Parameter values: [0.3829015568372352, 4.0931208310796574, 
9.1872417292187626e-13]
        Function value:   15707.156860909234
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.3829015568372352, 4.0931208310796574, 
9.1872417292187626e-13]
Function value:   15707.156860910796
Iterations:       11
Function calls:   49
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (15707.1568609 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 42960.274055280024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
42960.2740553       

        Parameter values: [0.41442796054872821, 10.501340946938084, 
0.052287948052960463]
        Function value:   40944.922788745425
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.414427960548728,  10.501340946938084,   
0.05228794805296 ])fk: 41831.100793695579  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41443,      10.501,    0.052288] fk: 
41774.1897962       

        Parameter values: [0.41776103921419544, 10.690389084590629, 
6.8980181717896339e-05]
        Function value:   41581.98487513775
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.177610392141954e-01,   1.069038908459063e+01,
         6.898018171789634e-05])fk: 41582.313517912546  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41776,       10.69,   6.898e-05] fk: 
41581.9863026       

        Parameter values: [0.41776543908432057, 10.69064030279325, 
4.5557820174211641e-08]
        Function value:   41581.985351592804
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  4.177654390843206e-01,   1.069064030279325e+01,
         4.555782017421164e-08])fk: 41581.985568329583  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41777,      10.691,  4.5558e-08] fk: 
41581.9853516       

        Parameter values: [0.41776544199099053, 10.690640470686041, 
1.5065122241559584e-11]
        Function value:   41581.985351593226
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.177654419909905e-01,   1.069064047068604e+01,
         1.506512224155958e-11])fk: 41581.985351664895  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41777,      10.691,  1.5065e-11] fk: 
41581.9853516       

        Parameter values: [0.41776544199195204, 10.690640470740936, 
2.4879932358807693e-15]
        Function value:   41581.985351593219
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.177654419919520e-01,   1.069064047074094e+01,
         2.487993235880769e-15])fk: 41581.985351593234  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41777,      10.691,   2.488e-15] fk: 
41581.9853516       

        Parameter values: [0.41776544199195209, 10.690640470740943, 
1.2439639249470255e-15]
        Function value:   41581.985351593219
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.41776544199195209, 10.690640470740943, 
1.2439639249470255e-15]
Function value:   41581.985351593226
Iterations:       13
Function calls:   44
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (41581.9853516 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   5.000000000000001e+02,
         0.000000000000000e+00])fk: 40740.731664440107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         500,           0] fk: 
40740.7316644       

        Parameter values: [0.17354596032472031, 1739.2519445027424, 
0.092779708804508393]
        Function value:   1183.7796618532077
        Iterations:       8
        Function calls:   31
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  1.735459603247203e-01,   1.739251944502742e+03,
         9.277970880450839e-02])fk: 1681.1730316058231  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.17355,      1739.3,     0.09278] fk: 
1679.86971648       

        Parameter values: [0.1804329626820016, 1750.0799978182604, 
6.7188806099584917e-05]
        Function value:   1614.8063219351725
        Iterations:       4
        Function calls:   23
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  1.804329626820016e-01,   1.750079997818260e+03,
         6.718880609958492e-05])fk: 1614.8543827761177  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18043,      1750.1,  6.7189e-05] fk: 
1614.80767624       

        Parameter values: [0.18043794848925723, 1750.0879568011796, 
2.4387554914327673e-08]
        Function value:   1614.8067736964531
        Iterations:       2
        Function calls:   25
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  1.804379484892572e-01,   1.750087956801180e+03,
         2.438755491432767e-08])fk: 1614.8067909771448  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1,  2.4388e-08] fk: 
1614.8067737        

        Parameter values: [0.1804379502967853, 1750.0879597750773, 
4.4449979900875742e-12]
        Function value:   1614.8067736965725
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.804379502967853e-01,   1.750087959775077e+03,
         4.444997990087574e-12])fk: 1614.806773699722   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1,   4.445e-12] fk: 
1614.8067737        

        Parameter values: [0.18043795029711529, 1750.0879597756045, 
4.033853370105608e-16]
        Function value:   1614.8067736965716
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.804379502971153e-01,   1.750087959775605e+03,
         4.033853370105608e-16])fk: 1614.8067736965718  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.18044,      1750.1,  4.0339e-16] fk: 
1614.8067737        

        Parameter values: [0.18043795029711529, 1750.0879597756045, 
3.5297390796488424e-16]
        Function value:   1614.8067736965716
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.18043795029711529, 1750.0879597756045, 
3.5297390796488424e-16]
Function value:   1614.8067736965718
Iterations:       18
Function calls:   96
Gradient calls:   24
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (1614.8067737 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 2078.421494703497   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
2078.4214947        

        Parameter values: [0.43192706218640003, 3.5516694956002435, 
0.097848781488834302]
        Function value:   1012.8650318521793
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.4319270621864  ,  3.551669495600243,  
0.097848781488834])fk: 2012.6336447980402  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43193,      3.5517,    0.097849] fk: 
2012.51795127       

        Parameter values: [0.4380403526215827, 3.6483653223158909, 
5.6103924796825112e-06]
        Function value:   1991.6391277491102
        Iterations:       4
        Function calls:   38
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.380403526215827e-01,   3.648365322315891e+00,
         5.610392479682511e-06])fk: 1991.6403315194755  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,      3.6484,  5.6104e-06] fk: 
1991.63913719       

        Parameter values: [0.43804070233123726, 3.6483708823091749, 
1.6741476693091787e-10]
        Function value:   1991.6391308969548
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.380407023312373e-01,   3.648370882309175e+00,
         1.674147669309179e-10])fk: 1991.6391309327817  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43804,      3.6484,  1.6741e-10] fk: 
1991.6391309        

        Parameter values: [0.43804070233123982, 3.6483708823092167, 
1.6737389477127406e-10]
        Function value:   1991.6391308969548
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43804070233123982, 3.6483708823092167, 
1.6737389477127406e-10]
Function value:   1991.6391309327728
Iterations:       10
Function calls:   65
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (1991.63913093 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 7079.3195445170923  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
7079.31954452       

        Parameter values: [0.41943583206191959, 4.754845162650021, 
0.092007556450801692]
        Function value:   5987.1764790368843
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.41943583206192 ,  4.754845162650021,  
0.092007556450802])fk: 6983.9825213425283  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.41944,      4.7548,    0.092008] fk: 
6982.3855425        

        Parameter values: [0.4252173761071445, 4.8934089380680081, 
2.0863988485463103e-05]
        Function value:   6910.6379373493301
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.252173761071445e-01,   4.893408938068008e+00,
         2.086398848546310e-05])fk: 6910.6545692437467  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934,  2.0864e-05] fk: 
6910.63806794       

        Parameter values: [0.42521868726521117, 4.8934407077298347, 
2.3667475968752586e-09]
        Function value:   6910.6379808898055
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.252186872652112e-01,   4.893440707729835e+00,
         2.366747596875259e-09])fk: 6910.6379827715382  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934,  2.3667e-09] fk: 
6910.63798089       

        Parameter values: [0.42521868735817125, 4.8934407100317427, 
8.8760034370830578e-10]
        Function value:   6910.6379808898046
        Iterations:       4
        Function calls:   49
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 4       xk: array([  4.252186873581713e-01,   4.893440710031743e+00,
         8.876003437083058e-10])fk: 6910.6379815955097  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934,   8.876e-10] fk: 
6910.63798089       

        Parameter values: [0.42521868740000685, 4.8934407110602676, 
2.2193996437506557e-10]
        Function value:   6910.6379808898064
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.252186874000068e-01,   4.893440711060268e+00,
         2.219399643750656e-10])fk: 6910.6379810662638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934,  2.2194e-10] fk: 
6910.63798089       

        Parameter values: [0.42521868740109642, 4.8934407110871314, 
2.0460309165036877e-10]
        Function value:   6910.6379808898055
        Iterations:       2
        Function calls:   31
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.252186874010964e-01,   4.893440711087131e+00,
         2.046030916503688e-10])fk: 6910.6379810524795  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934,   2.046e-10] fk: 
6910.63798089       

        Parameter values: [0.42521868741596985, 4.8934407114547041, 
-3.2057394955173111e-11]
        Function value:   6910.6379808898064
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 7       xk: array([  4.252186874159699e-01,   4.893440711454704e+00,
        -3.205739495517311e-11])fk: 6910.6379808643187  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42522,      4.8934, -3.2057e-11] fk: 
6910.63798089       

        Parameter values: [0.42521868741868069, 4.8934407115239793, 
-7.5194085727067202e-11]
        Function value:   6910.6379808898064
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42521868741868069, 4.8934407115239793, 
-7.5194085727067202e-11]
Function value:   6910.6379808300217
Iterations:       18
Function calls:   130
Gradient calls:   26
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (6910.63798083 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 8072.3118890496171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
8072.31188905       

        Parameter values: [0.43773697265550082, 5.1629462587521795, 
0.091530934232913641]
        Function value:   6878.4583088297686
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.437736972655501,  5.162946258752179,  
0.091530934232914])fk: 7874.8720550814069  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43774,      5.1629,    0.091531] fk: 
7873.07892821       

        Parameter values: [0.44341686778212741, 5.3072814772573782, 
2.0672032286676291e-05]
        Function value:   7797.5430899531857
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.434168677821274e-01,   5.307281477257378e+00,
         2.067203228667629e-05])fk: 7797.5605544999917  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073,  2.0672e-05] fk: 
7797.54321815       

        Parameter values: [0.44341815094273174, 5.3073144839749391, 
2.3287250228909353e-09]
        Function value:   7797.5431326960806
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.434181509427317e-01,   5.307314483974939e+00,
         2.328725022890935e-09])fk: 7797.5431346586647  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073,  2.3287e-09] fk: 
7797.5431327        

        Parameter values: [0.44341815108725186, 5.3073144877707428, 
1.3162747198850082e-13]
        Function value:   7797.5431326960834
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.434181510872519e-01,   5.307314487770743e+00,
         1.316274719885008e-13])fk: 7797.5431326961943  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073,  1.3163e-13] fk: 
7797.5431327        

        Parameter values: [0.44341815108726002, 5.3073144877709488, 
3.9340132434332793e-18]
        Function value:   7797.5431326960806
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.434181510872600e-01,   5.307314487770949e+00,
         3.934013243433279e-18])fk: 7797.5431326960806  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44342,      5.3073,   3.934e-18] fk: 
7797.5431327        

        Parameter values: [0.44341815108726002, 5.3073144877709488, 
1.9447620602925376e-18]
        Function value:   7797.5431326960806
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44341815108726002, 5.3073144877709488, 
1.9447620602925376e-18]
Function value:   7797.5431326960806
Iterations:       11
Function calls:   47
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (7797.5431327 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,  500.000000000000114,    0.       
        ])fk: 14357.953103967617  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         500,           0] fk: 
14357.953104        

        Parameter values: [0.23923974478147067, 2128.649412713833, 
0.096453535145729713]
        Function value:   259.49536423043651
        Iterations:       6
        Function calls:   22
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  2.392397447814707e-01,   2.128649412713833e+03,
         9.645353514572971e-02])fk: 758.86649358230784  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23924,      2128.6,    0.096454] fk: 
758.552058258       

        Parameter values: [0.24483857582282817, 2144.100654216636, 
3.7046599272031349e-05]
        Function value:   725.01659674211191
        Iterations:       5
        Function calls:   34
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  2.448385758228282e-01,   2.144100654216636e+03,
         3.704659927203135e-05])fk: 725.02959794328899  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.24484,      2144.1,  3.7047e-05] fk: 
725.017008477       

        Parameter values: [0.24484072263154819, 2144.1066808989794, 
7.1309069252890401e-09]
        Function value:   725.01673403999791
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.448407226315482e-01,   2.144106680898979e+03,
         7.130906925289040e-09])fk: 725.01673651610372  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.24484,      2144.1,  7.1309e-09] fk: 
725.01673404        

        Parameter values: [0.24484072304325386, 2144.1066820956953, 
6.8885986902113357e-13]
        Function value:   725.01673404000803
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.448407230432539e-01,   2.144106682095695e+03,
         6.888598690211336e-13])fk: 725.01673404024723  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.24484,      2144.1,  6.8886e-13] fk: 
725.01673404        

        Parameter values: [0.24484072304329371, 2144.1066820958072, 
3.3302709752948756e-17]
        Function value:   725.01673404000803
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.24484072304329371, 2144.1066820958072, 
3.3302709752948756e-17]
Function value:   725.01673404000803
Iterations:       14
Function calls:   65
Gradient calls:   19
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (725.01673404 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 1940.1941336102423  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
1940.19413361       

        Parameter values: [0.53788607691387891, 9.4225309555951551, 
0.097901188630112421]
        Function value:   814.15943348692554
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.537886076913879,  9.422530955595155,  
0.097901188630112])fk: 1813.939183028607   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53789,      9.4225,    0.097901] fk: 
1813.8290578        

        Parameter values: [0.54336816857126413, 9.6424944954694229, 
5.9458573281191118e-06]
        Function value:   1793.4497613200363
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.433681685712641e-01,   9.642494495469423e+00,
         5.945857328119112e-06])fk: 1793.4510057080108  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425,  5.9459e-06] fk: 
1793.44977193       

        Parameter values: [0.54336850150362836, 9.6425080077904095, 
1.8062903756712646e-10]
        Function value:   1793.449764855573
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.433685015036284e-01,   9.642508007790410e+00,
         1.806290375671265e-10])fk: 1793.4497648932688  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425,  1.8063e-10] fk: 
1793.44976486       

        Parameter values: [0.5433685015061569, 9.6425080078954881, 
1.3547239962429373e-10]
        Function value:   1793.4497648555723
        Iterations:       2
        Function calls:   28
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  5.433685015061569e-01,   9.642508007895488e+00,
         1.354723996242937e-10])fk: 1793.4497648838444  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425,  1.3547e-10] fk: 
1793.44976486       

        Parameter values: [0.54336850150900151, 9.6425080080127863, 
8.4670721401862449e-11]
        Function value:   1793.4497648555725
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.433685015090015e-01,   9.642508008012786e+00,
         8.467072140186245e-11])fk: 1793.4497648732427  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425,  8.4671e-11] fk: 
1793.44976486       

        Parameter values: [0.5433685015112536, 9.6425080081055707, 
4.4452189629429021e-11]
        Function value:   1793.4497648555723
        Iterations:       2
        Function calls:   26
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  5.433685015112536e-01,   9.642508008105571e+00,
         4.445218962942902e-11])fk: 1793.4497648648492  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54337,      9.6425,  4.4452e-11] fk: 
1793.44976486       

        Parameter values: [0.5433685015112536, 9.6425080081055707, 
4.4451989778283902e-11]
        Function value:   1793.4497648555723
        Iterations:       1
        Function calls:   22
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.5433685015112536, 9.6425080081055707, 
4.4451989778283902e-11]
Function value:   1793.4497648648492
Iterations:       16
Function calls:   121
Gradient calls:   23
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1793.44976486 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 5970.1619642240858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
5970.16196422       

        Parameter values: [0.42367989008905921, 4.8528348547090872, 
0.093532719469500272]
        Function value:   4634.6423390670616
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.423679890089059,  4.852834854709087,  
0.0935327194695  ])fk: 5632.5510531940527  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42368,      4.8528,    0.093533] fk: 
5631.50541026       

        Parameter values: [0.42960349200717202, 4.9788193761409394, 
1.7321943162723593e-05]
        Function value:   5572.2228314417844
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.296034920071720e-01,   4.978819376140939e+00,
         1.732194316272359e-05])fk: 5572.2340040233894  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4296,      4.9788,  1.7322e-05] fk: 
5572.22292146       

        Parameter values: [0.42960458913297039, 4.9788429596572801, 
1.6042794622725442e-09]
        Function value:   5572.2228614523146
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.296045891329704e-01,   4.978842959657280e+00,
         1.604279462272544e-09])fk: 5572.2228624842883  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4296,      4.9788,  1.6043e-09] fk: 
5572.22286145       

        Parameter values: [0.42960458923458467, 4.9788429618882404, 
7.4307700369395717e-14]
        Function value:   5572.2228614523156
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.296045892345847e-01,   4.978842961888240e+00,
         7.430770036939572e-14])fk: 5572.2228614523638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4296,      4.9788,  7.4308e-14] fk: 
5572.22286145       

        Parameter values: [0.42960458923458933, 4.9788429618883425, 
1.7268391429293565e-18]
        Function value:   5572.2228614523156
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.42960458923458933, 4.9788429618883425, 
1.7268391429293565e-18]
Function value:   5572.2228614523156
Iterations:       12
Function calls:   46
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5572.22286145 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 3290.9784875968999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
3290.9784876        

        Parameter values: [0.47266729186312501, 8.1095982188195492, 
0.096580066166516723]
        Function value:   1945.6865144836868
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([ 0.472667291863125,  8.109598218819549,  
0.096580066166517])fk: 2945.1017171124167  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47267,      8.1096,     0.09658] fk: 
2944.80931843       

        Parameter values: [0.47853476578605675, 8.309601114550162, 
9.5787986011243461e-06]
        Function value:   2912.1644836553778
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.785347657860567e-01,   8.309601114550162e+00,
         9.578798601124346e-06])fk: 2912.1677503657816  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47853,      8.3096,  9.5788e-06] fk: 
2912.16451118       

        Parameter values: [0.47853534774633871, 8.3096211776650399, 
4.7506566577796183e-10]
        Function value:   2912.1644928316268
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.785353477463387e-01,   8.309621177665040e+00,
         4.750656657779618e-10])fk: 2912.1644929931858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47854,      8.3096,  4.7507e-10] fk: 
2912.16449283       

        Parameter values: [0.47853534777520179, 8.3096211786827574, 
1.1782294660594273e-14]
        Function value:   2912.1644928316259
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.785353477752018e-01,   8.309621178682757e+00,
         1.178229466059427e-14])fk: 2912.16449283163    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47854,      8.3096,  1.1782e-14] fk: 
2912.16449283       

        Parameter values: [0.47853534777520218, 8.3096211786827734, 
5.8912354448404962e-15]
        Function value:   2912.1644928316259
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47853534777520218, 8.3096211786827734, 
5.8912354448404962e-15]
Function value:   2912.1644928316277
Iterations:       13
Function calls:   49
Gradient calls:   18
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (2912.16449283 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 6933.868194982876   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
6933.86819498       

        Parameter values: [0.5462835733396153, 18.782868138721824, 
0.092532875070676507]
        Function value:   5635.760951317503
        Iterations:       5
        Function calls:   14
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.546283573339615,  18.782868138721824,   
0.092532875070677])fk: 6132.9730535819972  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54628,      18.783,    0.092533] fk: 
6131.57910471       

        Parameter values: [0.55122668274034603, 19.174102405739287, 
2.1029830579998853e-05]
        Function value:   6064.0721935562506
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.512266827403460e-01,   1.917410240573929e+01,
         2.102983057999885e-05])fk: 6064.087852568091   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55123,      19.174,   2.103e-05] fk: 
6064.07232623       

        Parameter values: [0.5512278062781345, 19.174192325147757, 
2.3900252971957982e-09]
        Function value:   6064.0722377916809
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.512278062781345e-01,   1.917419232514776e+01,
         2.390025297195798e-09])fk: 6064.0722395662897  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55123,      19.174,    2.39e-09] fk: 
6064.07223779       

        Parameter values: [0.55122780640583002, 19.174192335596121, 
1.3582431567045423e-13]
        Function value:   6064.0722377916827
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.512278064058300e-01,   1.917419233559612e+01,
         1.358243156704542e-13])fk: 6064.0722377917837  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55123,      19.174,  1.3582e-13] fk: 
6064.07223779       

        Parameter values: [0.55122780640583757, 19.174192335596718, 
3.8293482765976919e-18]
        Function value:   6064.0722377916818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.512278064058376e-01,   1.917419233559672e+01,
         3.829348276597692e-18])fk: 6064.0722377916818  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.55123,      19.174,  3.8293e-18] fk: 
6064.07223779       

        Parameter values: [0.55122780640583757, 19.174192335596718, 
3.3495592496219975e-18]
        Function value:   6064.0722377916818
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.55122780640583757, 19.174192335596718, 
3.3495592496219975e-18]
Function value:   6064.0722377916818
Iterations:       13
Function calls:   55
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (6064.07223779 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 12331.48888232685   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
12331.4888823       

        Parameter values: [0.48631437744058015, 11.578888454566991, 
0.086534400733646516]
        Function value:   10952.850689386123
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([  0.48631437744058 ,  11.578888454566991,   
0.086534400733647])fk: 11943.784571206023  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48631,      11.579,    0.086534] fk: 
11939.2515121       

        Parameter values: [0.49143668988397488, 11.851358698826278, 
3.2712372545861227e-05]
        Function value:   11827.543853741219
        Iterations:       4
        Function calls:   51
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.914366898839749e-01,   1.185135869882628e+01,
         3.271237254586123e-05])fk: 11827.587795901263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851,  3.2712e-05] fk: 
11827.5441748       

        Parameter values: [0.49143862680311473, 11.85146254683324, 
6.1806173365841401e-09]
        Function value:   11827.543960791554
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.914386268031147e-01,   1.185146254683324e+01,
         6.180617336584140e-09])fk: 11827.543969073682  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851,  6.1806e-09] fk: 
11827.5439608       

        Parameter values: [0.49143862716902798, 11.851462566903781, 
5.8484836793822759e-13]
        Function value:   11827.543960791565
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.914386271690280e-01,   1.185146256690378e+01,
         5.848483679382276e-13])fk: 11827.543960792349  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851,  5.8485e-13] fk: 
11827.5439608       

        Parameter values: [0.49143862716906261, 11.851462566905635, 
2.7420250802066352e-17]
        Function value:   11827.543960791563
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.914386271690626e-01,   1.185146256690564e+01,
         2.742025080206635e-17])fk: 11827.543960791563  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.49144,      11.851,   2.742e-17] fk: 
11827.5439608       

        Parameter values: [0.49143862716906261, 11.851462566905635, 
2.0527000921650544e-17]
        Function value:   11827.543960791563
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.49143862716906261, 11.851462566905635, 
2.0527000921650544e-17]
Function value:   11827.543960791563
Iterations:       12
Function calls:   74
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (11827.5439608 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 12954.017663935163  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
12954.0176639       

        Parameter values: [0.56317463991875027, 15.099397322114511, 
0.085107881086524395]
        Function value:   11515.4238810801
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.56317463991875 ,  15.099397322114511,   
0.085107881086524])fk: 12504.335120793445  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56317,      15.099,    0.085108] fk: 
12498.7907407       

        Parameter values: [0.56774858486378654, 15.411523976852894, 
3.7958214887824635e-05]
        Function value:   12377.914490592831
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.677485848637865e-01,   1.541152397685289e+01,
         3.795821488782463e-05])fk: 12377.970874335209  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412,  3.7958e-05] fk: 
12377.9149228       

        Parameter values: [0.56775062524214659, 15.411664651059505, 
8.4678280259969018e-09]
        Function value:   12377.91463473972
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.677506252421466e-01,   1.541166465105951e+01,
         8.467828025996902e-09])fk: 12377.91464728581   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412,  8.4678e-09] fk: 
12377.9146347       

        Parameter values: [0.5677506256973438, 15.411664683091582, 
9.4489405400914888e-13]
        Function value:   12377.914634739736
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.677506256973438e-01,   1.541166468309158e+01,
         9.448940540091489e-13])fk: 12377.914634741137  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412,  9.4489e-13] fk: 
12377.9146347       

        Parameter values: [0.56775062569739454, 15.411664683095076, 
5.2322736838200063e-17]
        Function value:   12377.914634739735
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.677506256973945e-01,   1.541166468309508e+01,
         5.232273683820006e-17])fk: 12377.914634739735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.56775,      15.412,  5.2323e-17] fk: 
12377.9146347       

        Parameter values: [0.56775062569739454, 15.411664683095076, 
3.9240016223049585e-17]
        Function value:   12377.914634739735
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.56775062569739454, 15.411664683095076, 
3.9240016223049585e-17]
Function value:   12377.914634739735
Iterations:       13
Function calls:   51
Gradient calls:   19
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (12377.9146347 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 7816.8703095363035  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
7816.87030954       

        Parameter values: [0.5915069578345874, 7.7744555260319652, 
0.090508211625159304]
        Function value:   6740.4435901136003
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.591506957834587,  7.774455526031965,  
0.090508211625159])fk: 7735.9388877859619  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59151,      7.7745,    0.090508] fk: 
7733.68653662       

        Parameter values: [0.5961941461973066, 7.9369055307642098, 
2.6460357513392548e-05]
        Function value:   7650.2698924984534
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.961941461973066e-01,   7.936905530764210e+00,
         2.646035751339255e-05])fk: 7650.2949380947848  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59619,      7.9369,   2.646e-05] fk: 
7650.27010254       

        Parameter values: [0.59619551669614834, 7.9369535530724038, 
3.8686494958964617e-09]
        Function value:   7650.2699625339756
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.961955166961483e-01,   7.936953553072404e+00,
         3.868649495896462e-09])fk: 7650.2699661855395  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5962,       7.937,  3.8686e-09] fk: 
7650.26996253       

        Parameter values: [0.59619551689653305, 7.9369535602485799, 
2.8285851775339319e-13]
        Function value:   7650.2699625339783
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.961955168965331e-01,   7.936953560248580e+00,
         2.828585177533932e-13])fk: 7650.2699625342457  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5962,       7.937,  2.8286e-13] fk: 
7650.26996253       

        Parameter values: [0.59619551689653671, 7.9369535602487069, 
2.1214641334052027e-13]
        Function value:   7650.2699625339783
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59619551689653671, 7.9369535602487069, 
2.1214641334052027e-13]
Function value:   7650.2699625341784
Iterations:       12
Function calls:   48
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7650.26996253 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 9714.3118966004258  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
9714.3118966        

        Parameter values: [0.46930726347371243, 5.0037086060931415, 
0.08899160069372708]
        Function value:   8639.9661710764194
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.469307263473712,  5.003708606093141,  
0.088991600693727])fk: 9633.9069283121007  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46931,      5.0037,    0.088992] fk: 
9630.87730693       

        Parameter values: [0.474738015355534, 5.1370684623938594, 
2.787820764482731e-05]
        Function value:   9536.1894880755572
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.747380153555340e-01,   5.137068462393859e+00,
         2.787820764482731e-05])fk: 9536.2200998002809  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371,  2.7878e-05] fk: 
9536.18972123       

        Parameter values: [0.47473971685617894, 5.1371106956419119, 
4.3685354454387566e-09]
        Function value:   9536.1895658193571
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.747397168561789e-01,   5.137110695641912e+00,
         4.368535445438757e-09])fk: 9536.1895706040541  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371,  4.3685e-09] fk: 
9536.18956582       

        Parameter values: [0.47473971712281277, 5.1371107024025662, 
3.424753545291803e-13]
        Function value:   9536.1895658193662
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.747397171228128e-01,   5.137110702402566e+00,
         3.424753545291803e-13])fk: 9536.1895658197409  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371,  3.4248e-13] fk: 
9536.18956582       

        Parameter values: [0.47473971712283347, 5.137110702403076, 
1.3642527792833746e-17]
        Function value:   9536.1895658193625
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.747397171228335e-01,   5.137110702403076e+00,
         1.364252779283375e-17])fk: 9536.1895658193625  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371,  1.3643e-17] fk: 
9536.18956582       

        Parameter values: [0.47473971712283353, 5.1371107024030822, 
6.2715933348720363e-20]
        Function value:   9536.1895658193589
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  4.747397171228335e-01,   5.137110702403082e+00,
         6.271593334872036e-20])fk: 9536.1895658193589  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47474,      5.1371,  6.2716e-20] fk: 
9536.18956582       

        Parameter values: [0.47473971712283353, 5.1371107024030822, 
4.7200218483979149e-20]
        Function value:   9536.1895658193589
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47473971712283353, 5.1371107024030822, 
4.7200218483979149e-20]
Function value:   9536.1895658193589
Iterations:       14
Function calls:   56
Gradient calls:   21
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9536.18956582 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.6,  0. ,  0. ])                                      
  fk: 10531.244816919614  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,           0,           0] fk: 
10531.2448169       

        Parameter values: [0.5835274289779262, 15.249485391585914, 
0.088439125047984624]
        Function value:   9311.1625728906183
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.583527428977926,  15.249485391585914,   
0.088439125047985])fk: 10304.479881407811  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58353,      15.249,    0.088439] fk: 
10301.1385357       

        Parameter values: [0.58841647470170033, 15.597568976290132, 
2.8819357382245637e-05]
        Function value:   10202.491375042633
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.884164747017003e-01,   1.559756897629013e+01,
         2.881935738224564e-05])fk: 10202.524609685786  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58842,      15.598,  2.8819e-05] fk: 
10202.4916242       

        Parameter values: [0.58841806808414221, 15.597683751617245, 
4.6972597020857499e-09]
        Function value:   10202.491458125241
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.884180680841422e-01,   1.559768375161724e+01,
         4.697259702085750e-09])fk: 10202.491463528606  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58842,      15.598,  4.6973e-09] fk: 
10202.4914581       

        Parameter values: [0.58841806834385113, 15.59768377076389, 
3.82972855263019e-13]
        Function value:   10202.491458125247
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.884180683438511e-01,   1.559768377076389e+01,
         3.829728552630190e-13])fk: 10202.491458125687  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.58842,      15.598,  3.8297e-13] fk: 
10202.4914581       

        Parameter values: [0.58841806834386168, 15.597683770764656, 
1.9149424084722313e-13]
        Function value:   10202.491458125247
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.58841806834386168, 15.597683770764656, 
1.9149424084722313e-13]
Function value:   10202.491458125467
Iterations:       12
Function calls:   48
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (10202.4914581 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 19949.210139845221  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
19949.2101398       

        Parameter values: [0.44733757434630955, 6.9204553564988771, 
0.079730930614516388]
        Function value:   18204.440330631707
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.44733757434631 ,  6.920455356498877,  
0.079730930614516])fk: 19183.898571944032  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44734,      6.9205,    0.079731] fk: 
19173.6276926       

        Parameter values: [0.45237448934443414, 7.0929217879417967, 
4.2159116038131226e-05]
        Function value:   19022.627492901371
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.523744893444341e-01,   7.092921787941797e+00,
         4.215911603813123e-05])fk: 19022.712767767083  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45237,      7.0929,  4.2159e-05] fk: 
19022.6280261       

        Parameter values: [0.4523771533372774, 7.0930139219598782, 
1.1153212774211085e-08]
        Function value:   19022.627670734528
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.523771533372774e-01,   7.093013921959878e+00,
         1.115321277421109e-08])fk: 19022.627693246985  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45238,       7.093,  1.1153e-08] fk: 
19022.6276707       

        Parameter values: [0.4523771540420955, 7.0930139468254048, 
1.4765637776807717e-12]
        Function value:   19022.62767073455
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.523771540420955e-01,   7.093013946825405e+00,
         1.476563777680772e-12])fk: 19022.627670737529  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.45238,       7.093,  1.4766e-12] fk: 
19022.6276707       

        Parameter values: [0.45237715404218887, 7.093013946828628, 
9.7805527158765912e-17]
        Function value:   19022.62767073455
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.45237715404218887, 7.093013946828628, 
9.7805527158765912e-17]
Function value:   19022.62767073455
Iterations:       11
Function calls:   35
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19022.6276707 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 23392.735908891522  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
23392.7359089       

        Parameter values: [0.54506430540142214, 9.30530622447138, 
0.075463582007308017]
        Function value:   21850.377414880033
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.545064305401422,  9.30530622447138 ,  
0.075463582007308])fk: 22820.275624484428  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54506,      9.3053,    0.075464] fk: 
22805.2247293       

        Parameter values: [0.54934395332210639, 9.4902754051718983, 
4.9769912035242478e-05]
        Function value:   22635.490570763548
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.493439533221064e-01,   9.490275405171898e+00,
         4.976991203524248e-05])fk: 22635.612440595651  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54934,      9.4903,   4.977e-05] fk: 
22635.4913139       

        Parameter values: [0.54934677667756104, 9.4903985904222683, 
1.6420938460507989e-08]
        Function value:   22635.490818631424
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.493467766775610e-01,   9.490398590422268e+00,
         1.642093846050799e-08])fk: 22635.490858759018  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54935,      9.4904,  1.6421e-08] fk: 
22635.4908186       

        Parameter values: [0.54934677760919315, 9.4903986318428046, 
2.7102525329572763e-12]
        Function value:   22635.490818631471
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.493467776091931e-01,   9.490398631842805e+00,
         2.710252532957276e-12])fk: 22635.490818638096  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54935,      9.4904,  2.7103e-12] fk: 
22635.4908186       

        Parameter values: [0.54934677760927009, 9.4903986318461619, 
1.3552379794829282e-12]
        Function value:   22635.490818631471
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.54934677760927009, 9.4903986318461619, 
1.3552379794829282e-12]
Function value:   22635.490818634782
Iterations:       10
Function calls:   34
Gradient calls:   15
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (22635.4908186 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114,    0.       
        ])fk: 10393.752051839701  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500,           0] fk: 
10393.7520518       

        Parameter values: [0.28251033505114254, 3055.5910241124707, 
0.0976273024299526]
        Function value:   -79.877279224515405
        Iterations:       10
        Function calls:   23
        Gradient calls:   11
        Hessian calls:    10
        Warning:          None


k: 1       xk: array([  2.825103350511425e-01,   3.055591024112471e+03,
         9.762730242995260e-02])fk: 419.84123608753919  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28251,      3055.6,    0.097627] fk: 
419.700493744       

        Parameter values: [0.28475979163996751, 3077.1622037770358, 
3.1134921669147975e-05]
        Function value:   396.98103339254112
        Iterations:       5
        Function calls:   32
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  2.847597916399675e-01,   3.077162203777036e+03,
         3.113492166914797e-05])fk: 396.98832382950519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2,  3.1135e-05] fk: 
396.981324208       

        Parameter values: [0.28476050407018494, 3077.1691580876627, 
4.973310402938563e-09]
        Function value:   396.98113036184492
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.847605040701849e-01,   3.077169158087663e+03,
         4.973310402938563e-09])fk: 396.98113151088739  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2,  4.9733e-09] fk: 
396.981130362       

        Parameter values: [0.28476050418236121, 3077.169159222281, 
3.9849657253128149e-13]
        Function value:   396.98113036184975
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.847605041823612e-01,   3.077169159222281e+03,
         3.984965725312815e-13])fk: 396.98113036194184  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2,   3.985e-13] fk: 
396.981130362       

        Parameter values: [0.28476050418236798, 3077.1691592223492, 
9.9636115163880379e-14]
        Function value:   396.98113036184918
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  2.847605041823680e-01,   3.077169159222349e+03,
         9.963611516388038e-14])fk: 396.9811303618722   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2,  9.9636e-14] fk: 
396.981130362       

        Parameter values: [0.28476050418236881, 3077.1691592223569, 
6.0530352945326046e-14]
        Function value:   396.98113036184867
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([  2.847605041823688e-01,   3.077169159222357e+03,
         6.053035294532605e-14])fk: 396.98113036186265  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.28476,      3077.2,   6.053e-14] fk: 
396.981130362       

        Parameter values: [0.28476050418236881, 3077.1691592223569, 
6.0417364677952254e-14]
        Function value:   396.98113036184867
        Iterations:       1
        Function calls:   13
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.28476050418236881, 3077.1691592223569, 
6.0417364677952254e-14]
Function value:   396.98113036186265
Iterations:       23
Function calls:   104
Gradient calls:   30
Hessian calls:    23
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (396.981130362 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 18717.799326536191  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
18717.7993265       

        Parameter values: [0.47305965232447023, 8.9522368189729757, 
0.079483561926289636]
        Function value:   17187.870845308062
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.47305965232447 ,  8.952236818972976,  
0.07948356192629 ])fk: 18166.824633746441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47306,      8.9522,    0.079484] fk: 
18156.301528        

        Parameter values: [0.47782577499114509, 9.1478103827663109, 
4.5843537064643478e-05]
        Function value:   18004.117028871158
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.778257749911451e-01,   9.147810382766311e+00,
         4.584353706464348e-05])fk: 18004.210873317094  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1478,  4.5844e-05] fk: 
18004.1176594       

        Parameter values: [0.47782852465470493, 9.1479242774671743, 
1.3227356203851883e-08]
        Function value:   18004.117239155421
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.778285246547049e-01,   9.147924277467174e+00,
         1.322735620385188e-08])fk: 18004.117266171932  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1479,  1.3227e-08] fk: 
18004.1172392       

        Parameter values: [0.47782852544814458, 9.1479243109521597, 
1.9094034469623855e-12]
        Function value:   18004.117239155468
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.778285254481446e-01,   9.147924310952160e+00,
         1.909403446962385e-12])fk: 18004.117239159368  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1479,  1.9094e-12] fk: 
18004.1172392       

        Parameter values: [0.47782852544825916, 9.1479243109568866, 
1.3781835815730439e-16]
        Function value:   18004.117239155465
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.778285254482592e-01,   9.147924310956887e+00,
         1.378183581573044e-16])fk: 18004.117239155465  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.47783,      9.1479,  1.3782e-16] fk: 
18004.1172392       

        Parameter values: [0.47782852544825916, 9.1479243109568813, 
5.5375255810620638e-20]
        Function value:   18004.117239155465
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.47782852544825916, 9.1479243109568813, 
5.5375255810620638e-20]
Function value:   18004.117239155465
Iterations:       11
Function calls:   36
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (18004.1172392 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 30920.456720713282  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
30920.4567207       

        Parameter values: [0.44413709697351594, 5.7147938303845764, 
0.067475069471561802]
        Function value:   28932.767409064792
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.444137096973516,  5.714793830384576,  
0.067475069471562])fk: 29879.873853770805  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44414,      5.7148,    0.067475] fk: 
29853.4270761       

        Parameter values: [0.4483554889522825, 5.8357128686607505, 
5.9108210428205565e-05]
        Function value:   29660.810454929033
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.483554889522825e-01,   5.835712868660750e+00,
         5.910821042820557e-05])fk: 29661.002354594762  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8357,  5.9108e-05] fk: 
29660.8115031       

        Parameter values: [0.44835918580374895, 5.8358197220284245, 
2.590799962101485e-08]
        Function value:   29660.810804613364
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.483591858037489e-01,   5.835819722028424e+00,
         2.590799962101485e-08])fk: 29660.810888572541  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8358,  2.5908e-08] fk: 
29660.8108046       

        Parameter values: [0.44835918742441705, 5.8358197696525256, 
5.6823348259315084e-12]
        Function value:   29660.810804613502
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.483591874244170e-01,   5.835819769652526e+00,
         5.682334825931508e-12])fk: 29660.810804631918  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8358,  5.6823e-12] fk: 
29660.8108046       

        Parameter values: [0.44835918742477243, 5.8358197696627983, 
6.2316606707246238e-16]
        Function value:   29660.810804613495
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.483591874247724e-01,   5.835819769662798e+00,
         6.231660670724624e-16])fk: 29660.810804613498  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.44836,      5.8358,  6.2317e-16] fk: 
29660.8108046       

        Parameter values: [0.44835918742477249, 5.8358197696628, 
3.1149879978118e-16]
        Function value:   29660.810804613495
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44835918742477249, 5.8358197696628, 3.1149879978118e-16]
Function value:   29660.810804613495
Iterations:       12
Function calls:   39
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (29660.8108046 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 11700.145573857024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
11700.1455739       

        Parameter values: [0.46294754525236087, 9.2935614188078102, 
0.088076510936230104]
        Function value:   10186.682188576315
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.462947545252361,  9.29356141880781 ,  
0.08807651093623 ])fk: 11179.573709003622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46295,      9.2936,    0.088077] fk: 
11176.0194692       

        Parameter values: [0.46832771824806041, 9.5188612529503445, 
2.7829984944869711e-05]
        Function value:   11074.800875611836
        Iterations:       4
        Function calls:   27
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.683277182480604e-01,   9.518861252950344e+00,
         2.782998494486971e-05])fk: 11074.833981213143  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189,   2.783e-05] fk: 
11074.801108        

        Parameter values: [0.46832941847724391, 9.5189332046407085, 
4.3984892621518642e-09]
        Function value:   11074.800953087126
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.683294184772439e-01,   9.518933204640708e+00,
         4.398489262151864e-09])fk: 11074.800958307174  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189,  4.3985e-09] fk: 
11074.8009531       

        Parameter values: [0.46832941874597139, 9.5189332162532239, 
3.4777209168716507e-13]
        Function value:   11074.800953087131
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.683294187459714e-01,   9.518933216253224e+00,
         3.477720916871651e-13])fk: 11074.800953087544  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46833,      9.5189,  3.4777e-13] fk: 
11074.8009531       

        Parameter values: [0.4683294187459926, 9.518933216254112, 
1.3782477567460966e-17]
        Function value:   11074.800953087131
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4683294187459926, 9.518933216254112, 
1.3782477567460966e-17]
Function value:   11074.800953087131
Iterations:       12
Function calls:   47
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11074.8009531 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 12911.73347334042   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
12911.7334733       

        Parameter values: [0.59027923895139978, 25.238509150427895, 
0.083931438127914523]
        Function value:   11819.07454615303
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.5902792389514  ,  25.238509150427895,   
0.083931438127915])fk: 12306.164612121178  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59028,      25.239,    0.083931] fk: 
12299.7096451       

        Parameter values: [0.5942942259171724, 25.677569918567883, 
4.4183830717496081e-05]
        Function value:   12171.669704837694
        Iterations:       3
        Function calls:   14
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.942942259171724e-01,   2.567756991856788e+01,
         4.418383071749608e-05])fk: 12171.740506678367  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.59429,      25.678,  4.4184e-05] fk: 
12171.6702905       

        Parameter values: [0.59429634017605248, 25.677803427963308, 
1.1631522267352206e-08]
        Function value:   12171.669900161563
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.942963401760525e-01,   2.567780342796331e+01,
         1.163152226735221e-08])fk: 12171.669918748934  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5943,      25.678,  1.1632e-08] fk: 
12171.6699002       

        Parameter values: [0.59429634073270321, 25.677803490666811, 
1.5313023482318537e-12]
        Function value:   12171.669900161585
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.942963407327032e-01,   2.567780349066681e+01,
         1.531302348231854e-12])fk: 12171.669900164032  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5943,      25.678,  1.5313e-12] fk: 
12171.6699002       

        Parameter values: [0.59429634073270321, 25.677803490666815, 
1.5305546913421516e-12]
        Function value:   12171.669900161585
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.59429634073270321, 25.677803490666815, 
1.5305546913421516e-12]
Function value:   12171.669900164032
Iterations:       11
Function calls:   46
Gradient calls:   16
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (12171.6699002 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 20313.628539618145  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
20313.6285396       

        Parameter values: [0.4759979193713913, 4.4617951186069433, 
0.076607020777885323]
        Function value:   19205.603092321187
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.475997919371391,  4.461795118606943,  
0.076607020777885])fk: 20178.241518476872  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [       0.476,      4.4618,    0.076607] fk: 
20164.5607316       

        Parameter values: [0.48064116175173938, 4.5609756063880509, 
5.1801322408967634e-05]
        Function value:   19999.431682745519
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.806411617517394e-01,   4.560975606388051e+00,
         5.180132240896763e-05])fk: 19999.5525931337    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,       4.561,  5.1801e-05] fk: 
19999.4324878       

        Parameter values: [0.48064430249549189, 4.5610433100025158, 
1.7522877841322378e-08]
        Function value:   19999.43195126476
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.806443024954919e-01,   4.561043310002516e+00,
         1.752287784132238e-08])fk: 19999.431992074387  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,       4.561,  1.7523e-08] fk: 
19999.4319513       

        Parameter values: [0.48064430355805715, 4.56104333332856, 
2.9652084721812831e-12]
        Function value:   19999.431951264818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.806443035580572e-01,   4.561043333328560e+00,
         2.965208472181283e-12])fk: 19999.431951271723  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.48064,       4.561,  2.9652e-12] fk: 
19999.4319513       

        Parameter values: [0.4806443035582369, 4.5610433333324405, 
2.5062949437042587e-16]
        Function value:   19999.431951264818
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.4806443035582369, 4.5610433333324405, 
2.5062949437042587e-16]
Function value:   19999.431951264818
Iterations:       10
Function calls:   33
Gradient calls:   15
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (19999.4319513 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   5.000000000000001e+02,
         0.000000000000000e+00])fk: 31124.187042564765  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         500,           0] fk: 
31124.1870426       

        Parameter values: [0.19025101212292647, 1976.9350603648888, 
0.094925944898065717]
        Function value:   522.05465259176071
        Iterations:       9
        Function calls:   30
        Gradient calls:   10
        Hessian calls:    9
        Warning:          None


k: 1       xk: array([  1.902510121229265e-01,   1.976935060364889e+03,
         9.492594489806572e-02])fk: 1020.7673508328876  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19025,      1976.9,    0.094926] fk: 
1020.12369995       

        Parameter values: [0.19671190385876552, 1992.8798373115387, 
5.6104527008135655e-05]
        Function value:   973.13369973800923
        Iterations:       4
        Function calls:   22
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  1.967119038587655e-01,   1.992879837311539e+03,
         5.610452700813566e-05])fk: 973.16185271236486  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19671,      1992.9,  5.6105e-05] fk: 
973.134644053       

        Parameter values: [0.19671571781271485, 1992.8894268000802, 
1.6610947762928487e-08]
        Function value:   973.13401469619509
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.967157178127149e-01,   1.992889426800080e+03,
         1.661094776292849e-08])fk: 973.13402293823651  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9,  1.6611e-08] fk: 
973.134014696       

        Parameter values: [0.1967157189386024, 1992.8894297377767, 
2.4670911636900475e-12]
        Function value:   973.13401469624853
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.967157189386024e-01,   1.992889429737777e+03,
         2.467091163690048e-12])fk: 973.13401469747259  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9,  2.4671e-12] fk: 
973.134014696       

        Parameter values: [0.19671571893877013, 1992.8894297381994, 
1.8302819420704379e-16]
        Function value:   973.13401469624762
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  1.967157189387701e-01,   1.992889429738199e+03,
         1.830281942070438e-16])fk: 973.13401469624773  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19672,      1992.9,  1.8303e-16] fk: 
973.134014696       

        Parameter values: [0.19671571893877013, 1992.8894297381994, 
1.7158972525543717e-16]
        Function value:   973.13401469624762
        Iterations:       1
        Function calls:   7
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.19671571893877013, 1992.8894297381994, 
1.7158972525543717e-16]
Function value:   973.13401469624773
Iterations:       17
Function calls:   68
Gradient calls:   23
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (973.134014696 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,  50.000000000000007,   0.          
     ])fk: 20166.89052379959   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,          50,           0] fk: 
20166.8905238       

        Parameter values: [0.64417403292126874, 22.097979494498798, 
0.077078026536535171]
        Function value:   19225.292584637504
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([  0.644174032921269,  22.097979494498798,   
0.077078026536535])fk: 19699.021741264514  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64417,      22.098,    0.077078] fk: 
19685.8863196       

        Parameter values: [0.64801949288141891, 22.496769291457593, 
5.1801932987003763e-05]
        Function value:   19522.74296611407
        Iterations:       3
        Function calls:   15
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.480194928814189e-01,   2.249676929145759e+01,
         5.180193298700376e-05])fk: 19522.861438023374  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497,  5.1802e-05] fk: 
19522.7437711       

        Parameter values: [0.64802207816479895, 22.497040281240807, 
1.7413616148475859e-08]
        Function value:   19522.743234638507
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.480220781647990e-01,   2.249704028124081e+01,
         1.741361614847586e-08])fk: 19522.743274373479  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497,  1.7414e-08] fk: 
19522.7432346       

        Parameter values: [0.64802207903400744, 22.4970403743182, 
2.9274520519117994e-12]
        Function value:   19522.743234638572
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  6.480220790340074e-01,   2.249704037431820e+01,
         2.927452051911799e-12])fk: 19522.743234645252  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497,  2.9275e-12] fk: 
19522.7432346       

        Parameter values: [0.64802207903415354, 22.497040374333533, 
2.4594323601509479e-16]
        Function value:   19522.743234638565
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  6.480220790341535e-01,   2.249704037433353e+01,
         2.459432360150948e-16])fk: 19522.743234638565  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64802,      22.497,  2.4594e-16] fk: 
19522.7432346       

        Parameter values: [0.64802207903415365, 22.497040374333558, 
1.3904854316280254e-19]
        Function value:   19522.743234638565
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.64802207903415365, 22.497040374333558, 
1.3904854316280254e-19]
Function value:   19522.743234638565
Iterations:       10
Function calls:   36
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (19522.7432346 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0. ,  0. ])                                      
  fk: 9093.2839991858255  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,           0] fk: 
9093.28399919       

        Parameter values: [0.46032312860951025, 6.1803817172643702, 
0.089950880708427758]
        Function value:   7752.6745805664968
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([ 0.46032312860951 ,  6.18038171726437 ,  
0.089950880708428])fk: 8747.6253406396845  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46032,      6.1804,    0.089951] fk: 
8745.10072068       

        Parameter values: [0.46578498411989827, 6.3297273938781737, 
2.590064127500702e-05]
        Function value:   8657.4655958832282
        Iterations:       4
        Function calls:   26
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.657849841198983e-01,   6.329727393878174e+00,
         2.590064127500702e-05])fk: 8657.4915566622967  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46578,      6.3297,  2.5901e-05] fk: 
8657.46579714       

        Parameter values: [0.46578655702235744, 6.3297708529381431, 
3.7299643908670819e-09]
        Function value:   8657.465662986875
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.657865570223574e-01,   6.329770852938143e+00,
         3.729964390867082e-09])fk: 8657.4656667158361  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46579,      6.3298,    3.73e-09] fk: 
8657.46566299       

        Parameter values: [0.46578655724888202, 6.3297708593279927, 
2.6866549787193382e-13]
        Function value:   8657.4656629868714
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.657865572488820e-01,   6.329770859327993e+00,
         2.686654978719338e-13])fk: 8657.4656629871406  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.46579,      6.3298,  2.6867e-13] fk: 
8657.46566299       

        Parameter values: [0.46578655724888612, 6.3297708593281081, 
2.0150162083093931e-13]
        Function value:   8657.4656629868714
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.46578655724888612, 6.3297708593281081, 
2.0150162083093931e-13]
Function value:   8657.4656629870733
Iterations:       12
Function calls:   48
Gradient calls:   17
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (8657.46566299 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0. ,  0. ])                                      
  fk: 3900.8876953943559  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,           0,           0] fk: 
3900.88769539       

        Parameter values: [0.43585074910309207, 4.5862912053681786, 
0.095911447093591104]
        Function value:   2726.7378053615585
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 1       xk: array([ 0.435850749103092,  4.586291205368179,  
0.095911447093591])fk: 3725.901992118133   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43585,      4.5863,    0.095911] fk: 
3725.4840855        

        Parameter values: [0.44189687528480193, 4.7098981567974683, 
1.0723933291786544e-05]
        Function value:   3686.7909401692455
        Iterations:       4
        Function calls:   38
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  4.418968752848019e-01,   4.709898156797468e+00,
         1.072393329178654e-05])fk: 3686.7953132058337  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4419,      4.7099,  1.0724e-05] fk: 
3686.79097467       

        Parameter values: [0.44189755079133386, 4.7099119276319623, 
6.1033783247770024e-10]
        Function value:   3686.7909516708519
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.418975507913339e-01,   4.709911927631962e+00,
         6.103378324777002e-10])fk: 3686.7909519190825  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.4419,      4.7099,  6.1034e-10] fk: 
3686.79095167       

        Parameter values: [0.44189755082981003, 4.7099119284439173, 
1.7077172232913384e-14]
        Function value:   3686.7909516708519
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.44189755082981003, 4.7099119284439173, 
1.7077172232913384e-14]
Function value:   3686.7909516708587
Iterations:       10
Function calls:   53
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3686.79095167 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   5.000000000000001e+02,
         0.000000000000000e+00])fk: 32446.493009778736  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         500,           0] fk: 
32446.4930098       

        Parameter values: [0.19016287971108325, 1711.1945612266513, 
0.094537033120108083]
        Function value:   692.52556295925319
        Iterations:       8
        Function calls:   26
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  1.901628797110833e-01,   1.711194561226651e+03,
         9.453703312010808e-02])fk: 1191.0333626027134  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19016,      1711.2,    0.094537] fk: 
1190.28726242       

        Parameter values: [0.1968149643308903, 1723.1959195834631, 
5.740274753246049e-05]
        Function value:   1139.9305582503166
        Iterations:       4
        Function calls:   22
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  1.968149643308903e-01,   1.723195919583463e+03,
         5.740274753246049e-05])fk: 1139.9615876736327  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19681,      1723.2,  5.7403e-05] fk: 
1139.93154677       

        Parameter values: [0.19681900121479909, 1723.2033200047667, 
1.7452348075755009e-08]
        Function value:   1139.9308879582202
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.968190012147991e-01,   1.723203320004767e+03,
         1.745234807575501e-08])fk: 1139.9308972919566  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19682,      1723.2,  1.7452e-08] fk: 
1139.93088796       

        Parameter values: [0.19681900244018874, 1723.203322323626, 
2.6593622438214122e-12]
        Function value:   1139.9308879582829
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.968190024401887e-01,   1.723203322323626e+03,
         2.659362243821412e-12])fk: 1139.9308879597052  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19682,      1723.2,  2.6594e-12] fk: 
1139.93088796       

        Parameter values: [0.19681900244032907, 1723.2033223238827, 
6.649918654073124e-13]
        Function value:   1139.9308879582823
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.968190024403291e-01,   1.723203322323883e+03,
         6.649918654073124e-13])fk: 1139.9308879586379  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19682,      1723.2,  6.6499e-13] fk: 
1139.93088796       

        Parameter values: [0.19681900244039924, 1723.2033223240112, 
-3.3238226009254908e-13]
        Function value:   1139.9308879582809
        Iterations:       4
        Function calls:   14
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 6       xk: array([  1.968190024403992e-01,   1.723203322324011e+03,
        -3.323822600925491e-13])fk: 1139.9308879581031  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.19682,      1723.2, -3.3238e-13] fk: 
1139.93088796       

        Parameter values: [0.19681900244039338, 1723.2033223240005, 
-2.4928826189101548e-13]
        Function value:   1139.9308879582809
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.19681900244039338, 1723.2033223240005, 
-2.4928826189101548e-13]
Function value:   1139.9308879581477
Iterations:       21
Function calls:   80
Gradient calls:   28
Hessian calls:    21
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (1139.93088796 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114,    0.       
        ])fk: 9852.9523230335744  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500,           0] fk: 
9852.95232303       

        Parameter values: [0.27073099001055884, 2414.3881836133269, 
0.09671416558541672]
        Function value:   228.6228338145267
        Iterations:       7
        Function calls:   19
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  2.707309900105588e-01,   2.414388183613327e+03,
         9.671416558541672e-02])fk: 728.08299842452379  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27073,      2414.4,    0.096714] fk: 
727.81308073        

        Parameter values: [0.2750992719677815, 2427.5621659369181, 
3.3689023529820394e-05]
        Function value:   696.6299510813617
        Iterations:       4
        Function calls:   33
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  2.750992719677815e-01,   2.427562165936918e+03,
         3.368902352982039e-05])fk: 696.6409072416219   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2751,      2427.6,  3.3689e-05] fk: 
696.630291566       

        Parameter values: [0.2751007905903266, 2427.5668342365157, 
5.8715761108008415e-09]
        Function value:   696.6300646159043
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.751007905903266e-01,   2.427566834236516e+03,
         5.871576110800841e-09])fk: 696.63006650563852  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2751,      2427.6,  5.8716e-09] fk: 
696.630064616       

        Parameter values: [0.27510079085391004, 2427.5668350637147, 
5.1404992266117688e-13]
        Function value:   696.63006461591101
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.751007908539100e-01,   2.427566835063715e+03,
         5.140499226611769e-13])fk: 696.63006461607642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2751,      2427.6,  5.1405e-13] fk: 
696.630064616       

        Parameter values: [0.27510079085391004, 2427.5668350637147, 
5.1348525647600575e-13]
        Function value:   696.63006461591078
        Iterations:       2
        Function calls:   28
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  2.751007908539100e-01,   2.427566835063715e+03,
         5.134852564760058e-13])fk: 696.63006461607608  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2751,      2427.6,  5.1349e-13] fk: 
696.630064616       

        Parameter values: [0.27510079085391004, 2427.5668350637147, 
5.1343824652363977e-13]
        Function value:   696.63006461591078
        Iterations:       1
        Function calls:   17
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.27510079085391004, 2427.5668350637147, 
5.1343824652363977e-13]
Function value:   696.63006461607608
Iterations:       16
Function calls:   103
Gradient calls:   22
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (696.630064616 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,  500.000000000000114,    0.       
        ])fk: 16837.704688210419  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         500,           0] fk: 
16837.7046882       

        Parameter values: [0.22469634815896569, 2152.769250753865, 
0.096941388570597656]
        Function value:   18.947257581674478
        Iterations:       8
        Function calls:   24
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  2.246963481589657e-01,   2.152769250753865e+03,
         9.694138857059766e-02])fk: 518.47950238787098  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.2247,      2152.8,    0.096941] fk: 
518.245624791       

        Parameter values: [0.23083955090096553, 2170.6718983226092, 
4.0626989313874393e-05]
        Function value:   489.22244312444525
        Iterations:       5
        Function calls:   32
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  2.308395509009655e-01,   2.170671898322609e+03,
         4.062698931387439e-05])fk: 489.23470428660494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7,  4.0627e-05] fk: 
489.22293829        

        Parameter values: [0.23084212073764457, 2170.6795367510831, 
8.5341369843413878e-09]
        Function value:   489.22260824901514
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.308421207376446e-01,   2.170679536751083e+03,
         8.534136984341388e-09])fk: 489.22261078991824  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7,  8.5341e-09] fk: 
489.222608249       

        Parameter values: [0.23084212127528456, 2170.6795384131501, 
9.0045819462356286e-13]
        Function value:   489.22260824902941
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.308421212752846e-01,   2.170679538413150e+03,
         9.004581946235629e-13])fk: 489.22260824929748  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7,  9.0046e-13] fk: 
489.222608249       

        Parameter values: [0.23084212127534159, 2170.6795384133193, 
4.73849422426285e-17]
        Function value:   489.22260824902935
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  2.308421212753416e-01,   2.170679538413319e+03,
         4.738494224262850e-17])fk: 489.22260824902935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.23084,      2170.7,  4.7385e-17] fk: 
489.222608249       

        Parameter values: [0.23084212127534154, 2170.6795384133193, 
1.4607511777768909e-20]
        Function value:   489.22260824902935
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.23084212127534154, 2170.6795384133193, 
1.4607511777768909e-20]
Function value:   489.22260824902935
Iterations:       17
Function calls:   68
Gradient calls:   23
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (489.222608249 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,  500.000000000000114,    0.       
        ])fk: 6026.3625449029487  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         500,           0] fk: 
6026.3625449        

        Parameter values: [0.3400449457007016, 2443.6932811368629, 
0.097532769293554755]
        Function value:   86.276813115782431
        Iterations:       6
        Function calls:   13
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  3.400449457007016e-01,   2.443693281136863e+03,
         9.753276929355476e-02])fk: 585.97245174784121  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34004,      2443.7,    0.097533] fk: 
585.820271064       

        Parameter values: [0.34353620080368952, 2454.8185882019557, 
2.4265415428695552e-05]
        Function value:   562.14543945930563
        Iterations:       3
        Function calls:   21
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  3.435362008036895e-01,   2.454818588201956e+03,
         2.426541542869555e-05])fk: 562.15136741607205  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8,  2.4265e-05] fk: 
562.145616102       

        Parameter values: [0.34353706718425464, 2454.8214221171738, 
3.0193911747381831e-09]
        Function value:   562.14549835498292
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.435370671842546e-01,   2.454821422117174e+03,
         3.019391174738183e-09])fk: 562.14549908528124  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8,  3.0194e-09] fk: 
562.145498355       

        Parameter values: [0.34353706729169481, 2454.8214224712174, 
1.8847766412676486e-13]
        Function value:   562.14549835498406
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.435370672916948e-01,   2.454821422471217e+03,
         1.884776641267649e-13])fk: 562.14549835502964  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8,  1.8848e-13] fk: 
562.145498355       

        Parameter values: [0.34353706729170125, 2454.8214224712406, 
6.0270662898944285e-18]
        Function value:   562.14549835498349
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  3.435370672917012e-01,   2.454821422471241e+03,
         6.027066289894429e-18])fk: 562.14549835498349  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34354,      2454.8,  6.0271e-18] fk: 
562.145498355       

        Parameter values: [0.34353706729170125, 2454.8214224712401, 
3.0158876358109673e-18]
        Function value:   562.14549835498349
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.34353706729170125, 2454.8214224712401, 
3.0158876358109673e-18]
Function value:   562.14549835498349
Iterations:       14
Function calls:   50
Gradient calls:   20
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (562.145498355 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,  500.000000000000114,    0.       
        ])fk: 10975.476959679665  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         500,           0] fk: 
10975.4769597       

        Parameter values: [0.27328882471501059, 2011.8780554343705, 
0.096077867409433207]
        Function value:   345.79878411864081
        Iterations:       7
        Function calls:   20
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  2.732888247150106e-01,   2.011878055434370e+03,
         9.607786740943321e-02])fk: 845.02962791574146  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27329,      2011.9,    0.096078] fk: 
844.645049814       

        Parameter values: [0.27750747564338418, 2016.2654912362939, 
4.2126883646429692e-05]
        Function value:   807.75118682375626
        Iterations:       4
        Function calls:   22
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  2.775074756433842e-01,   2.016265491236294e+03,
         4.212688364642969e-05])fk: 807.76753207865261  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3,  4.2127e-05] fk: 
807.751719226       

        Parameter values: [0.27750932377441184, 2016.2674242952564, 
9.2494572524751064e-09]
        Function value:   807.75136436911862
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.775093237744118e-01,   2.016267424295256e+03,
         9.249457252475106e-09])fk: 807.75136791893101  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3,  9.2495e-09] fk: 
807.751364369       

        Parameter values: [0.27750932417935398, 2016.2674247236819, 
1.01811469562322e-12]
        Function value:   807.75136436913533
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.775093241793540e-01,   2.016267424723682e+03,
         1.018114695623220e-12])fk: 807.75136436952607  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3,  1.0181e-12] fk: 
807.751364369       

        Parameter values: [0.2775093241793764, 2016.2674247237046, 
5.0906974792587493e-13]
        Function value:   807.75136436913522
        Iterations:       2
        Function calls:   21
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  2.775093241793764e-01,   2.016267424723705e+03,
         5.090697479258749e-13])fk: 807.75136436933064  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.27751,      2016.3,  5.0907e-13] fk: 
807.751364369       

        Parameter values: [0.2775093241793769, 2016.2674247237051, 
4.9713897199614395e-13]
        Function value:   807.75136436913522
        Iterations:       1
        Function calls:   9
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.2775093241793769, 2016.2674247237051, 
4.9713897199614395e-13]
Function value:   807.75136436932598
Iterations:       16
Function calls:   78
Gradient calls:   22
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (807.751364369 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,  50.000000000000007,   0.          
     ])fk: 5061.1130768476114  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,          50,           0] fk: 
5061.11307685       

        Parameter values: [0.42732747840761165, 26.225087886930364, 
0.094032897205442847]
        Function value:   3767.1335187209002
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.427327478407612,  26.225087886930364,   
0.094032897205443])fk: 4265.3532029328599  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.42733,      26.225,    0.094033] fk: 
4264.46304504       

        Parameter values: [0.43215694588576248, 26.758539341789671, 
1.9509576099109561e-05]
        Function value:   4209.426264657156
        Iterations:       3
        Function calls:   14
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.321569458857625e-01,   2.675853934178967e+01,
         1.950957609910956e-05])fk: 4209.4378681594062  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      26.759,   1.951e-05] fk: 
4209.42637884       

        Parameter values: [0.43215794799256457, 26.758651028270034, 
2.0240469302398791e-09]
        Function value:   4209.426302727411
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.321579479925646e-01,   2.675865102827003e+01,
         2.024046930239879e-09])fk: 4209.4263039272819  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      26.759,   2.024e-09] fk: 
4209.42630273       

        Parameter values: [0.43215794809653935, 26.758651040067175, 
1.0498081621621461e-13]
        Function value:   4209.4263027274119
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  4.321579480965393e-01,   2.675865104006717e+01,
         1.049808162162146e-13])fk: 4209.4263027274737  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      26.759,  1.0498e-13] fk: 
4209.42630273       

        Parameter values: [0.43215794809654456, 26.758651040067743, 
2.9783075371023077e-18]
        Function value:   4209.426302727411
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  4.321579480965446e-01,   2.675865104006774e+01,
         2.978307537102308e-18])fk: 4209.426302727411   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.43216,      26.759,  2.9783e-18] fk: 
4209.42630273       

        Parameter values: [0.43215794809654456, 26.75865104006775, 
-5.7046984688317237e-20]
        Function value:   4209.426302727411
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.43215794809654456, 26.75865104006775, 
-5.7046984688317237e-20]
Function value:   4209.426302727411
Iterations:       12
Function calls:   37
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (4209.42630273 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,  50.000000000000007,   0.          
     ])fk: 1951.983427776664   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,          50,           0] fk: 
1951.98342778       

        Parameter values: [0.33556841995049458, 23.050938594966567, 
0.097510315990425492]
        Function value:   997.74574844210042
        Iterations:       6
        Function calls:   15
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  0.335568419950495,  23.050938594966567,   
0.097510315990425])fk: 1497.4358221187238  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.33557,      23.051,     0.09751] fk: 
1497.28085896       

        Parameter values: [0.34072209843878992, 23.596489094381273, 
1.0039854731540601e-05]
        Function value:   1473.2567350925008
        Iterations:       4
        Function calls:   28
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  3.407220984387899e-01,   2.359648909438127e+01,
         1.003985473154060e-05])fk: 1473.2592246192107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34072,      23.596,   1.004e-05] fk: 
1473.25676533       

        Parameter values: [0.34072262910376594, 23.59654573442976, 
5.1686193604287773e-10]
        Function value:   1473.2567451734058
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.407226291037659e-01,   2.359654573442976e+01,
         5.168619360428777e-10])fk: 1473.2567453010502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.34072,      23.597,  5.1686e-10] fk: 
1473.25674517       

        Parameter values: [0.34072262910377926, 23.596545734431206, 
5.1660956854650799e-10]
        Function value:   1473.2567451734058
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.34072262910377926, 23.596545734431206, 
5.1660956854650799e-10]
Function value:   1473.2567453009879
Iterations:       12
Function calls:   60
Gradient calls:   16
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (1473.2567453 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.3              ,  50.000000000000007,   0.          
     ])fk: 835.86429856616508  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.3,          50,           0] fk: 
835.864298566       

        Parameter values: [0.22403352948082172, 29.233816863930318, 
0.098721055470975039]
        Function value:   -38.571375127690487
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.224033529480822,  29.233816863930318,   
0.098721055470975])fk: 461.34683991689337  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22403,      29.234,    0.098721] fk: 
461.305947439       

        Parameter values: [0.22901336927039098, 30.097460706107917, 
8.6561026413167172e-06]
        Function value:   448.80641952963595
        Iterations:       5
        Function calls:   35
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 2       xk: array([  2.290133692703910e-01,   3.009746070610792e+01,
         8.656102641316717e-06])fk: 448.80751910433622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.097,  8.6561e-06] fk: 
448.806442008       

        Parameter values: [0.22901380593305637, 30.097536998188719, 
3.7949292619724633e-10]
        Function value:   448.80642702310422
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.290138059330564e-01,   3.009753699818872e+01,
         3.794929261972463e-10])fk: 448.80642707098224  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.098,  3.7949e-10] fk: 
448.806427023       

        Parameter values: [0.22901380594502146, 30.097537000310318, 
1.4231504608923692e-10]
        Function value:   448.80642702310399
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  2.290138059450215e-01,   3.009753700031032e+01,
         1.423150460892369e-10])fk: 448.8064270410589   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.22901,      30.098,  1.4232e-10] fk: 
448.806427023       

        Parameter values: [0.22901380594502163, 30.097537000310346, 
1.4231178883169696e-10]
        Function value:   448.80642702310399
        Iterations:       1
        Function calls:   19
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.22901380594502163, 30.097537000310346, 
1.4231178883169696e-10]
Function value:   448.8064270410585
Iterations:       14
Function calls:   76
Gradient calls:   19
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (448.806427041 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.2              ,  100.000000000000014,    0.       
        ])fk: 3619.3698258449663  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.2,         100,           0] fk: 
3619.36982584       

        Parameter values: [0.21012132242203657, 75.670344502089463, 
0.08928347487945916]
        Function value:   1301.0779717561406
        Iterations:       5
        Function calls:   12
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  0.210121322422037,  75.670344502089463,   
0.089283474879459])fk: 1795.3357762231815  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21012,       75.67,    0.089283] fk: 
1792.46467846       

        Parameter values: [0.2114319957496085, 76.319029913256301, 
0.00014209096769971795]
        Function value:   1700.9235154311375
        Iterations:       3
        Function calls:   12
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  2.114319957496085e-01,   7.631902991325630e+01,
         1.420909676997180e-04])fk: 1701.073768589303   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,      76.319,  0.00014209] fk: 
1700.92957238       

        Parameter values: [0.2114340827795709, 76.320065309619423, 
1.1316630872908603e-07]
        Function value:   1700.9255376314272
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  2.114340827795709e-01,   7.632006530961942e+01,
         1.131663087290860e-07])fk: 1700.9256556878429  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,       76.32,  1.1317e-07] fk: 
1700.92553764       

        Parameter values: [0.21143408444241724, 76.320066134577246, 
4.5082801278693507e-11]
        Function value:   1700.9255376339902
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.114340844424172e-01,   7.632006613457725e+01,
         4.508280127869351e-11])fk: 1700.9255376810202  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,       76.32,  4.5083e-11] fk: 
1700.92553763       

        Parameter values: [0.2114340844424635, 76.320066134600197, 
4.1935477075093536e-11]
        Function value:   1700.9255376339897
        Iterations:       3
        Function calls:   37
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 5       xk: array([  2.114340844424635e-01,   7.632006613460020e+01,
         4.193547707509354e-11])fk: 1700.9255376777364  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.21143,       76.32,  4.1935e-11] fk: 
1700.92553763       

        Parameter values: [0.2114340844424635, 76.320066134600197, 
4.193544708364066e-11]
        Function value:   1700.9255376339897
        Iterations:       1
        Function calls:   24
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.2114340844424635, 76.320066134600197, 
4.193544708364066e-11]
Function value:   1700.9255376777364
Iterations:       15
Function calls:   93
Gradient calls:   21
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (1700.92553768 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm4\\results.bz2' for writing.

relax> pipe.create(pipe_name='m5', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m5', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 52402.8136361    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 38975.5634183    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 29623.7474228    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 22920.3391391    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 18865.338567     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 17458.7457067    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 16636.8310775    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 16317.8008219    
   
k: 706      xk: [         0.6,         0.5,         500] fk: 15975.6065074    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (15975.6065074 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 67957.530941     
   
k: 11       xk: [         0.1,         0.1,           0] fk: 54901.963067     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 45137.3814197    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 37382.4698415    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 31637.2283324    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 27901.6568925    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 26175.7555218    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 25202.5195956    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 24934.3537251    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 24904.1976268    
   
k: 250      xk: [         0.7,         0.6,         150] fk: 24898.3119763    
   
k: 316      xk: [         0.7,         0.6,         200] fk: 24897.9344485    
   
k: 382      xk: [         0.7,         0.6,         250] fk: 24787.3095903    
   
k: 448      xk: [         0.7,         0.6,         300] fk: 24563.4459147    
   
k: 514      xk: [         0.7,         0.6,         350] fk: 24264.3037796    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 23929.4227218    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 23587.2972655    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 23255.0047318    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (23255.0047318 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 46589.4290117    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 33988.0111311    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 24843.9456251    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 18614.0379492    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 15298.2881032    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 14896.6960872    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 14667.4984892    
   
k: 706      xk: [         0.6,         0.5,         500] fk: 14535.7249677    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (14535.7249677 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34435.2127284    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 23005.616111     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 15678.1163394    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 11189.9738566    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 9541.18866251    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 9162.30533404    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (9162.30533404 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 31683.9847331    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 23514.0970791    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 18109.8764812    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 14192.8198782    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 11762.9272701    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 10820.1986569    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 10343.2124465    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (10343.2124465 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 24164.5370766    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 18020.3030145    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 14225.3687247    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 11414.8705587    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 9588.80851655    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 8747.18259812    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 8384.92149956    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (8384.92149956 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 11277.3525666    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 7687.02751494    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 6336.83368525    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 5328.50982932    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 4662.05594716    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 4337.47203876    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 3914.94270029    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 3586.13977259    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (3586.13977259 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 7097.25569836    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 4446.49286775    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 3731.97185812    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 3177.60917292    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 2783.40481212    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 2549.35877574    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 2475.47106376    
   
k: 97       xk: [         0.4,         0.3,          50] fk: 2325.2315862     
   
k: 105      xk: [         0.5,         0.4,          50] fk: 1899.75077707    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 1719.8281361     
   
k: 118      xk: [         0.7,         0.6,          50] fk: 1715.95584943    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 1599.23957786    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 1578.06812826    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (1578.06812826 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 15125.8852796    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 9179.68854377    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 7793.61580502    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 6738.72046287    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 6015.00251731    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 5622.46196835    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 5561.09881598    
   
k: 97       xk: [         0.4,         0.3,          50] fk: 5279.85483441    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 4289.19945893    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 3923.89329825    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (3923.89329825 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 19671.2796207    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 12173.5168307    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 10539.1690187    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 9269.15275435    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 8363.46803761    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 7822.1148685     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 7645.09324701    
   
k: 88       xk: [         0.3,         0.2,          50] fk: 7582.65938907    
   
k: 97       xk: [         0.4,         0.3,          50] fk: 5719.6260944     
   
k: 105      xk: [         0.5,         0.4,          50] fk: 5046.75818588    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 4839.86358041    
   
k: 113      xk: [         0.7,         0.5,          50] fk: 4252.26120559    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 4032.67891609    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 3988.38799921    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 3838.2400932     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (3838.2400932 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 9994.98830359    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 6281.59033399    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 5241.00997239    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 4452.03874174    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 3914.67664204    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 3628.92367331    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 3594.77983553    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 2912.14699341    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 2644.06774721    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (2644.06774721 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 32826.5944821    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 23209.1392938    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 16629.3783666    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 12249.8987814    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 10070.7005381    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 9755.11852756    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (9755.11852756 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 43873.4642648    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 30410.5958776    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 21359.933225     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 15515.4789918    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 12877.2331781    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 12849.5775818    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (12849.5775818 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 13778.9159658    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 10636.9310987    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 8606.1189946     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 7057.17631137    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 5990.10304902    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 5404.89920756    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 5301.56478698    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 5238.06262029    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5238.06262029 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 16210.9940926    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 10109.8733405    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 6495.66835891    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 4390.34421079    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 3793.90089611    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (3793.90089611 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 60645.9605372    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 48113.1006427    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 39162.8316546    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 32132.7714874    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 27022.9201412    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 23833.2776161    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 22563.8439119    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 21579.1555957    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 21459.6612643    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 21402.1994651    
   
k: 514      xk: [         0.7,         0.6,         350] fk: 21200.9239497    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 20868.7931076    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 20523.091744     
   
k: 712      xk: [         0.7,         0.6,         500] fk: 20185.9885022    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (20185.9885022 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 27574.9417359    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 19706.888794     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 14406.6851767    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 10696.233357     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 8575.53333477    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 8044.58511016    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 7735.96221516    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (7735.96221516 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23111.0357575    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 17189.7022675    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 13805.8676215    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 11198.6526482    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 9368.05734785    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 8314.08172029    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 8036.72576556    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 7922.9464435     
   
k: 118      xk: [         0.7,         0.6,          50] fk: 7599.56509063    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (7599.56509063 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 31430.6075613    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 25243.6927348    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 21400.8713774    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 18146.1033112    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 15479.3885363    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 13400.7270526    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 11910.1188601    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 11007.5639589    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 10693.0623488    
   
k: 123      xk: [         0.8,         0.7,          50] fk: 10632.2809205    
   
k: 127      xk: [         0.9,         0.8,          50] fk: 10314.7485775    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (10314.7485775 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 35676.0478508    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 25362.019514     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 18138.4249451    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 13491.637874     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 11421.6583009    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (11421.6583009 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 10160.3919098    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 7639.30295369    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 6004.48976447    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 4726.16150825    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 3804.31818501    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 3238.95979477    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 3030.08633752    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 2972.50973046    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (2972.50973046 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 37130.156336     
   
k: 11       xk: [         0.1,         0.1,           0] fk: 30773.5640001    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 25903.5659598    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 21678.145292     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 18097.3019968    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 15161.036074     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 12869.3475237    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 11222.2363459    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 10219.7025407    
   
k: 63       xk: [         0.9,         0.9,           0] fk: 9861.74610793    
   
k: 127      xk: [         0.9,         0.8,          50] fk: 9813.74359751    
   
k: 128      xk: [           1,         0.8,          50] fk: 9743.51116368    
   
k: 130      xk: [           1,         0.9,          50] fk: 9494.68476538    
   
k: 196      xk: [           1,         0.9,         100] fk: 9385.67709387    
   
k: 394      xk: [           1,         0.9,         250] fk: 9376.14613748    
   
k: 460      xk: [           1,         0.9,         300] fk: 9297.79110681    
   
k: 526      xk: [           1,         0.9,         350] fk: 9187.01389933    
   
k: 592      xk: [           1,         0.9,         400] fk: 9059.85349099    
   
k: 658      xk: [           1,         0.9,         450] fk: 8928.15534058    
   
k: 724      xk: [           1,         0.9,         500] fk: 8799.19479648    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (8799.19479648 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 14378.6840735    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 8399.52791278    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 5039.32748224    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 3168.11625177    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 2785.89422137    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (2785.89422137 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33336.0067229    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 26602.9947471    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 21568.1376862    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 17630.0326789    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 14788.6797251    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 13044.0788248    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 12396.2299781    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 12070.8047178    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 11964.2487191    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 11763.5271407    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 11565.565111     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (11565.565111 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 74868.9214227    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 50020.2532151    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 32447.4626813    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 21239.765001     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 16397.160174     
   
k: 105      xk: [         0.5,         0.4,          50] fk: 16032.8746247    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (16032.8746247 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34510.7229589    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 26627.6419607    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 20973.6543214    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 16839.668889     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 14225.6856633    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 13131.7046444    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 12769.6845137    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 12732.8788704    
   
k: 706      xk: [         0.6,         0.5,         500] fk: 12474.6195738    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (12474.6195738 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 20716.7146128    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 13265.0272157    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 8727.15753861    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 5855.29399648    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 4649.43658932    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 4505.52171651    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (4505.52171651 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 29155.8504053    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 22103.0405896    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 17387.4636785    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 13912.7472091    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 11678.8911812    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 10685.8955949    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 10476.8925341    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (10476.8925341 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 14516.4590835    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 10928.5701653    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 8870.73790487    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 7268.20609076    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 6120.97472293    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 5429.04380138    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 5192.41332611    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 5042.48804324    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (5042.48804324 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 141984.64917     
   
k: 11       xk: [         0.1,         0.1,           0] fk: 102496.261982    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 73757.7478526    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 54569.0870801    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 44930.2796641    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 44841.3256046    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 43792.069546     
   
k: 178      xk: [         0.6,         0.5,         100] fk: 43758.3514842    
   
k: 508      xk: [         0.6,         0.5,         350] fk: 43350.3215369    
   
k: 567      xk: [         0.5,         0.4,         400] fk: 43122.8902387    
   
k: 574      xk: [         0.6,         0.5,         400] fk: 42788.8356293    
   
k: 633      xk: [         0.5,         0.4,         450] fk: 42272.1784856    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 42207.259219     
   
k: 699      xk: [         0.5,         0.4,         500] fk: 41440.4635886    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (41440.4635886 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 112660.585379    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 81916.0847604    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 59882.2853129    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 44909.7311567    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 36998.4222917    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 36148.358718     
   
k: 105      xk: [         0.5,         0.4,          50] fk: 35726.745649     
   
k: 112      xk: [         0.6,         0.5,          50] fk: 34962.6993467    
   
k: 178      xk: [         0.6,         0.5,         100] fk: 34894.8449084    
   
k: 508      xk: [         0.6,         0.5,         350] fk: 34760.0217863    
   
k: 574      xk: [         0.6,         0.5,         400] fk: 34261.7500718    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 33743.0944463    
   
k: 706      xk: [         0.6,         0.5,         500] fk: 33237.5005238    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (33237.5005238 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 66368.7561133    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 53755.3594536    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 44470.7985577    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 36921.030357     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 31106.0548514    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 27025.872041     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 24680.4819256    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 24069.8845053    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 24012.000798     
   
k: 123      xk: [         0.8,         0.7,          50] fk: 23417.6866818    
   
k: 585      xk: [         0.8,         0.7,         400] fk: 23397.7439182    
   
k: 651      xk: [         0.8,         0.7,         450] fk: 22993.6831386    
   
k: 717      xk: [         0.8,         0.7,         500] fk: 22593.3837074    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (22593.3837074 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 22572.9564775    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 16174.476814     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 12158.0492815    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 9363.43259809    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 7790.62676395    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 7439.63177903    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (7439.63177903 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 139373.413104    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 82588.5572885    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 43957.4912618    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 21861.0392187    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 16299.2011591    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 16203.094648     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (16203.094648 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 188648.374744    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 126666.314793    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 82230.6553801    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 54328.641801     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 42960.2740553    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 41876.6996498    
   
k: 501      xk: [         0.5,         0.4,         350] fk: 41599.970941     
   
k: 567      xk: [         0.5,         0.4,         400] fk: 40906.2190714    
   
k: 633      xk: [         0.5,         0.4,         450] fk: 40189.5577024    
   
k: 699      xk: [         0.5,         0.4,         500] fk: 39490.7756818    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (39490.7756818 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 156060.662069    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 108659.936595    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 74627.8960497    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 53077.5437017    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 44008.8795512    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 42703.5361508    
   
k: 106      xk: [         0.6,         0.4,          50] fk: 42474.8245757    
   
k: 171      xk: [         0.5,         0.4,         100] fk: 42395.7452627    
   
k: 369      xk: [         0.5,         0.4,         250] fk: 42169.937648     
   
k: 435      xk: [         0.5,         0.4,         300] fk: 41735.5489254    
   
k: 501      xk: [         0.5,         0.4,         350] fk: 41180.3843799    
   
k: 567      xk: [         0.5,         0.4,         400] fk: 40571.5326684    
   
k: 633      xk: [         0.5,         0.4,         450] fk: 39955.404079     
   
k: 634      xk: [         0.6,         0.4,         450] fk: 39924.8496478    
   
k: 699      xk: [         0.5,         0.4,         500] fk: 39359.1688368    
   
k: 700      xk: [         0.6,         0.4,         500] fk: 38383.9273767    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (38383.9273767 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 6601.70019207    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 4502.19260876    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 3264.61583415    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 2456.69212947    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 2078.4214947     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (2078.4214947 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 24536.7604569    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 17039.4394883    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 11826.4296404    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 8506.38965914    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 7079.31954452    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 7037.20942265    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (7037.20942265 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23919.0952585    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 17239.444227     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 12603.5436644    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 9547.83288509    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 8072.31188905    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 8024.17204304    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (8024.17204304 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 41472.5815614    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 34081.4966204    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 28412.6024817    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 23770.3636236    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 20154.7800463    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 17565.8517496    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 16003.5787336    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 15467.9609983    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 15433.1446689    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 15290.5252441    
   
k: 123      xk: [         0.8,         0.7,          50] fk: 14946.700503     
   
k: 124      xk: [         0.9,         0.7,          50] fk: 14751.2291995    
   
k: 189      xk: [         0.8,         0.7,         100] fk: 14744.3525663    
   
k: 255      xk: [         0.8,         0.7,         150] fk: 14691.3300938    
   
k: 321      xk: [         0.8,         0.7,         200] fk: 14653.1869119    
   
k: 387      xk: [         0.8,         0.7,         250] fk: 14572.0238308    
   
k: 453      xk: [         0.8,         0.7,         300] fk: 14442.970727     
   
k: 519      xk: [         0.8,         0.7,         350] fk: 14281.5322654    
   
k: 585      xk: [         0.8,         0.7,         400] fk: 14104.9531319    
   
k: 651      xk: [         0.8,         0.7,         450] fk: 13925.9312624    
   
k: 717      xk: [         0.8,         0.7,         500] fk: 13752.1664933    
   
k: 718      xk: [         0.9,         0.7,         500] fk: 13663.6136514    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (13663.6136514 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 5334.4090188     
   
k: 11       xk: [         0.1,         0.1,           0] fk: 3892.03407346    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 3102.91493374    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 2514.56856386    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 2126.99496381    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 1940.19413361    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 1817.02546234    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (1817.02546234 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23522.8259239    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 15367.5082935    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 10493.8299966    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 7361.38122012    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 5970.16196422    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 5849.24763248    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (5849.24763248 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 10757.5128385    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 7221.9681308     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 5413.67329467    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 4155.74340876    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 3448.17847307    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 3290.9784876     
   
k: 105      xk: [         0.5,         0.4,          50] fk: 3122.47263925    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 2926.24810737    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (2926.24810737 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 19403.0986304    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 13922.9525304    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 11386.9562967    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 9483.83202166    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 8213.57970535    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 7576.19934775    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 7571.69094886    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 6866.74574589    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 6333.24165482    
   
k: 113      xk: [         0.7,         0.5,          50] fk: 6224.31499972    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 6142.21820962    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 6134.70123498    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 6002.15901004    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 5870.51433452    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (5870.51433452 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33974.9388195    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 25528.2069218    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 19638.4747617    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 15475.7777018    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 13040.115742     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 12331.4888823    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 11851.5207664    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 11649.276442     
   
k: 706      xk: [         0.6,         0.5,         500] fk: 11425.4784271    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (11425.4784271 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 34181.7067805    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 26775.7091908    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 21469.6998182    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 17434.5259793    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 14670.1876739    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 13176.6849021    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 12954.0176639    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 12686.3461396    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 12488.2334793    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 12462.5476567    
   
k: 514      xk: [         0.7,         0.6,         350] fk: 12451.6450503    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 12257.2630157    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 12053.1044043    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 11852.9614606    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (11852.9614606 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 21988.153738     
   
k: 11       xk: [         0.1,         0.1,           0] fk: 17025.9462156    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 13688.7683468    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 11099.2718218    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 9257.45664058    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 8163.32280316    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 7816.87030954    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 7688.99026335    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (7688.99026335 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 30593.5851764    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 22382.0755004    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 16496.6955823    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 12423.6083422    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 10162.8137804    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 9714.3118966     
   
k: 112      xk: [         0.6,         0.5,          50] fk: 9648.78485307    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (9648.78485307 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 28846.7259313    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 22784.4819863    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 18276.2235486    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 14796.7706129    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 12346.123179     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 10924.281247     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 10531.2448169    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 10227.391399     
   
k: 514      xk: [         0.7,         0.6,         350] fk: 10219.9522354    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 10063.827616     
   
k: 646      xk: [         0.7,         0.6,         450] fk: 9899.71413359    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 9738.30739712    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (9738.30739712 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 70925.8752768    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 50121.3023587    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 35169.0237864    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 25156.2488925    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 20082.977677     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 19949.2101398    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 19759.5193462    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 19593.0384237    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (19593.0384237 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 59467.0252757    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 46541.0137297    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 37265.7829545    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 30315.9930593    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 25691.6440441    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 23392.7359089    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 22947.5106193    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 22935.0690528    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 22698.231745     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (22698.231745 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 42012.5196458    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 35441.5437671    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 30787.8782669    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 26628.809577     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 22964.3376973    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 19794.462628     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 17119.1843689    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 14938.5029202    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 13252.4182817    
   
k: 63       xk: [         0.9,         0.9,           0] fk: 12060.9304535    
   
k: 65       xk: [           1,           1,           0] fk: 11364.0394357    
   
k: 196      xk: [           1,         0.9,         100] fk: 11239.6178458    
   
k: 262      xk: [           1,         0.9,         150] fk: 11216.0639123    
   
k: 394      xk: [           1,         0.9,         250] fk: 11167.4168591    
   
k: 460      xk: [           1,         0.9,         300] fk: 11058.9135502    
   
k: 526      xk: [           1,         0.9,         350] fk: 10909.2485252    
   
k: 592      xk: [           1,         0.9,         400] fk: 10739.170682     
   
k: 658      xk: [           1,         0.9,         450] fk: 10564.1801899    
   
k: 724      xk: [           1,         0.9,         500] fk: 10393.7520518    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (10393.7520518 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 53091.4390749    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 39275.0806006    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 29794.4782661    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 23208.0639422    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 19515.837629     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 18717.7993265    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 18073.4412799    
   
k: 706      xk: [         0.6,         0.5,         500] fk: 17986.8784264    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (17986.8784264 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 100711.310967    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 71913.7189589    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 51365.1561599    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 37700.7354138    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 30920.4567207    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 30661.3887873    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 30638.3847692    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (30638.3847692 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 33350.0780338    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 24327.8524766    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 18354.0614007    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 14258.1798916    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 12040.2079493    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 11700.1455739    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 11525.6830892    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 11173.4173202    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (11173.4173202 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 37039.1682285    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 28150.8425759    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 23100.413622     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 19184.0614291    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 16401.7859973    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 14753.5873266    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 14239.4654169    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 13064.6927845    
   
k: 113      xk: [         0.7,         0.5,          50] fk: 12718.7772015    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 12177.95191      
   
k: 250      xk: [         0.7,         0.6,         150] fk: 12144.3380077    
   
k: 448      xk: [         0.7,         0.6,         300] fk: 12081.3797866    
   
k: 514      xk: [         0.7,         0.6,         350] fk: 11902.9916576    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 11693.5422746    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 11480.4513304    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 11279.6785371    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (11279.6785371 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 63963.0178642    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 46796.1428101    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 34677.850792     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 26224.6677409    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 21436.5936568    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 20313.6285396    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 20278.3155916    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20278.3155916 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 90916.0115374    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 71705.5146785    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 56997.3375513    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 46016.4722501    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 38762.918775     
   
k: 45       xk: [         0.5,         0.5,           0] fk: 35236.6771259    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 34188.4896806    
   
k: 113      xk: [         0.7,         0.5,          50] fk: 33819.1988486    
   
k: 178      xk: [         0.6,         0.5,         100] fk: 33794.8932729    
   
k: 244      xk: [         0.6,         0.5,         150] fk: 33676.3255862    
   
k: 310      xk: [         0.6,         0.5,         200] fk: 33558.5788719    
   
k: 376      xk: [         0.6,         0.5,         250] fk: 33334.9601506    
   
k: 442      xk: [         0.6,         0.5,         300] fk: 33005.549868     
   
k: 508      xk: [         0.6,         0.5,         350] fk: 32608.001438     
   
k: 574      xk: [         0.6,         0.5,         400] fk: 32180.5447053    
   
k: 640      xk: [         0.6,         0.5,         450] fk: 31750.4489885    
   
k: 641      xk: [         0.7,         0.5,         450] fk: 31264.4672852    
   
k: 707      xk: [         0.7,         0.5,         500] fk: 30183.0670161    
   
k: 708      xk: [         0.8,         0.5,         500] fk: 30088.8835863    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (30088.8835863 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 55156.7500081    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 44197.6357673    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 36342.4817413    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 30062.8841214    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 25358.8429074    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 22230.3580994    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 20677.4296974    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 19806.6951545    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 19796.7080517    
   
k: 124      xk: [         0.9,         0.7,          50] fk: 19757.0871992    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 19723.0448939    
   
k: 189      xk: [         0.8,         0.7,         100] fk: 19719.2766718    
   
k: 453      xk: [         0.8,         0.7,         300] fk: 19705.3141399    
   
k: 514      xk: [         0.7,         0.6,         350] fk: 19645.7513373    
   
k: 519      xk: [         0.8,         0.7,         350] fk: 19483.2623741    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 19303.3400585    
   
k: 585      xk: [         0.8,         0.7,         400] fk: 19222.9474968    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 18944.5458109    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 18593.1496867    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (18593.1496867 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 27563.6493743    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 19619.2607888    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 14605.6829403    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 11180.1608592    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 9342.69454548    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 9093.28399919    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 8786.00955241    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (8786.00955241 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 13953.1286165    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 9471.89249067    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 6648.1115501     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 4791.10995168    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 3900.88769539    
   
k: 105      xk: [         0.5,         0.4,          50] fk: 3896.91040853    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (3896.91040853 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 120128.634826    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 94453.6140658    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 74670.4729124    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 60096.987735     
   
k: 38       xk: [         0.4,         0.4,           0] fk: 50733.1585335    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 46578.9853079    
   
k: 112      xk: [         0.6,         0.5,          50] fk: 45109.46671      
   
k: 113      xk: [         0.7,         0.5,          50] fk: 44200.3238038    
   
k: 114      xk: [         0.8,         0.5,          50] fk: 43739.5102188    
   
k: 115      xk: [         0.9,         0.5,          50] fk: 43637.8926163    
   
k: 179      xk: [         0.7,         0.5,         100] fk: 43518.5353788    
   
k: 245      xk: [         0.7,         0.5,         150] fk: 43347.625121     
   
k: 310      xk: [         0.6,         0.5,         200] fk: 43298.6048387    
   
k: 311      xk: [         0.7,         0.5,         200] fk: 43031.2887791    
   
k: 376      xk: [         0.6,         0.5,         250] fk: 42869.5513402    
   
k: 377      xk: [         0.7,         0.5,         250] fk: 42385.9741185    
   
k: 443      xk: [         0.7,         0.5,         300] fk: 41467.1658014    
   
k: 509      xk: [         0.7,         0.5,         350] fk: 40393.1250163    
   
k: 510      xk: [         0.8,         0.5,         350] fk: 40207.7972023    
   
k: 575      xk: [         0.7,         0.5,         400] fk: 39266.2193497    
   
k: 576      xk: [         0.8,         0.5,         400] fk: 38366.6975432    
   
k: 577      xk: [         0.9,         0.5,         400] fk: 38129.0304728    
   
k: 637      xk: [         0.9,         0.4,         450] fk: 37502.020629     
   
k: 638      xk: [           1,         0.4,         450] fk: 36684.3465748    
   
k: 642      xk: [         0.8,         0.5,         450] fk: 36561.9850605    
   
k: 643      xk: [         0.9,         0.5,         450] fk: 35663.212635     
   
k: 644      xk: [           1,         0.5,         450] fk: 35261.0625351    
   
k: 703      xk: [         0.9,         0.4,         500] fk: 33800.4156086    
   
k: 704      xk: [           1,         0.4,         500] fk: 32446.4930098    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (32446.4930098 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 29989.6643315    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 24493.7243466    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 20773.7342534    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 17631.3089668    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 15066.4484869    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 13079.1528135    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 11669.4219468    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 10837.2558868    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 10582.6546333    
   
k: 123      xk: [         0.8,         0.7,          50] fk: 10290.8179116    
   
k: 124      xk: [         0.9,         0.7,          50] fk: 10241.7612886    
   
k: 127      xk: [         0.9,         0.8,          50] fk: 10081.375238     
   
k: 128      xk: [           1,         0.8,          50] fk: 9970.63388806    
   
k: 193      xk: [         0.9,         0.8,         100] fk: 9953.03390195    
   
k: 523      xk: [         0.9,         0.8,         350] fk: 9845.80025691    
   
k: 589      xk: [         0.9,         0.8,         400] fk: 9706.58985762    
   
k: 655      xk: [         0.9,         0.8,         450] fk: 9561.17530914    
   
k: 721      xk: [         0.9,         0.8,         500] fk: 9419.24395345    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (9419.24395345 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 48183.6562985    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 38628.676714     
   
k: 21       xk: [         0.2,         0.2,           0] fk: 31372.8116825    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 25656.0239004    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 21478.3133675    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 18839.6800839    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 17740.1240497    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 17102.5703553    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 16890.2032632    
   
k: 184      xk: [         0.7,         0.6,         100] fk: 16877.3308178    
   
k: 250      xk: [         0.7,         0.6,         150] fk: 16836.2500521    
   
k: 316      xk: [         0.7,         0.6,         200] fk: 16806.0636164    
   
k: 382      xk: [         0.7,         0.6,         250] fk: 16715.3687932    
   
k: 448      xk: [         0.7,         0.6,         300] fk: 16560.590317     
   
k: 514      xk: [         0.7,         0.6,         350] fk: 16363.2026398    
   
k: 580      xk: [         0.7,         0.6,         400] fk: 16146.0741875    
   
k: 646      xk: [         0.7,         0.6,         450] fk: 15925.7716999    
   
k: 712      xk: [         0.7,         0.6,         500] fk: 15712.2251116    
   
k: 713      xk: [         0.8,         0.6,         500] fk: 15598.2506628    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (15598.2506628 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 23132.7425346    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 18898.2221552    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 16083.495992     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 13644.2359594    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 11580.4420576    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 9892.11428644    
   
k: 51       xk: [         0.6,         0.6,           0] fk: 8579.25264605    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 7641.85713637    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 7079.92775742    
   
k: 63       xk: [         0.9,         0.9,           0] fk: 6893.46450918    
   
k: 127      xk: [         0.9,         0.8,          50] fk: 6656.50335438    
   
k: 128      xk: [           1,         0.8,          50] fk: 6569.96343998    
   
k: 130      xk: [           1,         0.9,          50] fk: 6511.67271166    
   
k: 196      xk: [           1,         0.9,         100] fk: 6394.56669306    
   
k: 460      xk: [           1,         0.9,         300] fk: 6377.18229176    
   
k: 526      xk: [           1,         0.9,         350] fk: 6301.33549671    
   
k: 592      xk: [           1,         0.9,         400] fk: 6211.3397401     
   
k: 658      xk: [           1,         0.9,         450] fk: 6117.57577408    
   
k: 724      xk: [           1,         0.9,         500] fk: 6026.3625449     
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (6026.3625449 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 36898.88387      
   
k: 11       xk: [         0.1,         0.1,           0] fk: 29188.1831019    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 24860.7578457    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 21206.8409318    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 18226.4323603    
   
k: 45       xk: [         0.5,         0.5,           0] fk: 15919.532131     
   
k: 51       xk: [         0.6,         0.6,           0] fk: 14286.1402441    
   
k: 56       xk: [         0.7,         0.7,           0] fk: 13326.2566994    
   
k: 60       xk: [         0.8,         0.8,           0] fk: 13039.8814971    
   
k: 118      xk: [         0.7,         0.6,          50] fk: 12811.8124433    
   
k: 119      xk: [         0.8,         0.6,          50] fk: 12375.3154184    
   
k: 123      xk: [         0.8,         0.7,          50] fk: 11988.5078469    
   
k: 124      xk: [         0.9,         0.7,          50] fk: 11436.4590923    
   
k: 128      xk: [           1,         0.8,          50] fk: 11243.4810401    
   
k: 259      xk: [         0.9,         0.8,         150] fk: 11105.7752381    
   
k: 325      xk: [         0.9,         0.8,         200] fk: 11051.7077817    
   
k: 391      xk: [         0.9,         0.8,         250] fk: 10993.9748609    
   
k: 457      xk: [         0.9,         0.8,         300] fk: 10899.6369177    
   
k: 523      xk: [         0.9,         0.8,         350] fk: 10776.8804808    
   
k: 589      xk: [         0.9,         0.8,         400] fk: 10642.5952745    
   
k: 655      xk: [         0.9,         0.8,         450] fk: 10510.1871037    
   
k: 717      xk: [         0.8,         0.7,         500] fk: 10507.9518554    
   
k: 721      xk: [         0.9,         0.8,         500] fk: 10387.4857752    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (10387.4857752 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 40987.1607828    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 25529.4062284    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 24097.104562     
   
k: 30       xk: [         0.3,         0.3,           0] fk: 23178.8819216    
   
k: 38       xk: [         0.4,         0.4,           0] fk: 22774.7383073    
   
k: 78       xk: [         0.2,         0.1,          50] fk: 9343.70371073    
   
k: 88       xk: [         0.3,         0.2,          50] fk: 7071.15566351    
   
k: 98       xk: [         0.5,         0.3,          50] fk: 4761.48241482    
   
k: 107      xk: [         0.7,         0.4,          50] fk: 4263.10759954    
   
k: 303      xk: [         0.5,         0.4,         200] fk: 4183.76511539    
   
k: 369      xk: [         0.5,         0.4,         250] fk: 4153.73695834    
   
k: 435      xk: [         0.5,         0.4,         300] fk: 4107.24479155    
   
k: 501      xk: [         0.5,         0.4,         350] fk: 4029.69779886    
   
k: 567      xk: [         0.5,         0.4,         400] fk: 3979.30730967    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (3979.30730967 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 45789.3602829    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 29494.8844257    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 28976.1193259    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 28735.4751754    
   
k: 78       xk: [         0.2,         0.1,          50] fk: 2451.05634104    
   
k: 89       xk: [         0.4,         0.2,          50] fk: 1867.24382377    
   
k: 99       xk: [         0.6,         0.3,          50] fk: 1589.46083246    
   
k: 172      xk: [         0.6,         0.4,         100] fk: 1525.08845363    
   
k: 295      xk: [         0.4,         0.3,         200] fk: 1472.75893229    
   
k: 493      xk: [         0.4,         0.3,         350] fk: 1414.63588413    
   
k: 559      xk: [         0.4,         0.3,         400] fk: 1398.49754914    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (1398.49754914 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 55284.1384162    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 42669.3368942    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 42512.0085314    
   
k: 78       xk: [         0.2,         0.1,          50] fk: 8398.34161247    
   
k: 79       xk: [         0.3,         0.1,          50] fk: 678.306727736    
   
k: 91       xk: [         0.6,         0.2,          50] fk: 481.165074918    
   
k: 617      xk: [         0.4,         0.2,         450] fk: 324.266881746    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (324.266881746 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 1331 grid nodes.
k: 0        xk: [           0,           0,           0] fk: 135177.865875    
   
k: 11       xk: [         0.1,         0.1,           0] fk: 113890.174458    
   
k: 21       xk: [         0.2,         0.2,           0] fk: 111502.715523    
   
k: 30       xk: [         0.3,         0.3,           0] fk: 110854.851081    
   
k: 67       xk: [         0.1,           0,          50] fk: 105182.962156    
   
k: 68       xk: [         0.2,           0,          50] fk: 104341.742462    
   
k: 69       xk: [         0.3,           0,          50] fk: 103533.319346    
   
k: 70       xk: [         0.4,           0,          50] fk: 102757.692809    
   
k: 71       xk: [         0.5,           0,          50] fk: 102014.86285     
   
k: 72       xk: [         0.6,           0,          50] fk: 101304.829469    
   
k: 73       xk: [         0.7,           0,          50] fk: 100627.592667    
   
k: 74       xk: [         0.8,           0,          50] fk: 99983.1524427    
   
k: 75       xk: [         0.9,           0,          50] fk: 99371.5087972    
   
k: 76       xk: [           1,           0,          50] fk: 98792.66173      
   
k: 78       xk: [         0.2,         0.1,          50] fk: 55403.4284419    
   
k: 79       xk: [         0.3,         0.1,          50] fk: 27291.6361469    
   
k: 80       xk: [         0.4,         0.1,          50] fk: 13590.586114     
   
k: 81       xk: [         0.5,         0.1,          50] fk: 7259.90901534    
   
k: 82       xk: [         0.6,         0.1,          50] fk: 4891.37294384    
   
k: 83       xk: [         0.7,         0.1,          50] fk: 4718.15300458    
   
k: 95       xk: [           1,         0.2,          50] fk: 4245.32591594    
   
k: 158      xk: [         0.7,         0.2,         100] fk: 2567.55437739    
   
k: 159      xk: [         0.8,         0.2,         100] fk: 1678.49271556    
   
k: 224      xk: [         0.7,         0.2,         150] fk: 1626.67682421    
   
k: 289      xk: [         0.6,         0.2,         200] fk: 1501.94911645    
   
k: 355      xk: [         0.6,         0.2,         250] fk: 1406.6013805     
   
k: 477      xk: [         0.5,         0.1,         350] fk: 1201.31381554    
   
k: 543      xk: [         0.5,         0.1,         400] fk: 432.901741704    
   
k: 665      xk: [         0.5,           0,         500] fk: 319.668092524    
   
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (319.668092524 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 15975.606507417642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
15975.6065074       

        Parameter values: [0.82865307650856879, 0.14397903250300112, 
3502.5080551719425]
        Function value:   6.952075672567229e-12
        Iterations:       12
        Function calls:   25
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.286530765085688e-01,   1.439790325030011e-01,
         3.502508055171942e+03])fk: 6.952075672567229e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82865,     0.14398,      3502.5] fk: 
6.95207567257e-12   

        Parameter values: [0.82865307312584469, 0.1439790164797379, 
3502.5083981630942]
        Function value:   1.7449225470451148e-24
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.286530731258447e-01,   1.439790164797379e-01,
         3.502508398163094e+03])fk: 1.7449225470451148e-24
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82865,     0.14398,      3502.5] fk: 
1.74492254705e-24   

        Parameter values: [0.82865307312584324, 0.14397901647972988, 
3502.5083981632629]
        Function value:   1.3668834605337371e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.286530731258432e-01,   1.439790164797299e-01,
         3.502508398163263e+03])fk: 1.3668834605337371e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82865,     0.14398,      3502.5] fk: 
1.36688346053e-27   

        Parameter values: [0.82865307312584313, 0.14397901647972991, 
3502.5083981632629]
        Function value:   0.0
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82865307312584313, 0.14397901647972991, 
3502.5083981632629]
Function value:   0.0
Iterations:       15
Function calls:   35
Gradient calls:   19
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 23255.004731841487  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
23255.0047318       

        Parameter values: [0.86187683113455049, 0.10497112953054878, 
4023.3589838499247]
        Function value:   6.5993754454172712e-18
        Iterations:       12
        Function calls:   26
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.618768311345505e-01,   1.049711295305488e-01,
         4.023358983849925e+03])fk: 6.5993754454172712e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86188,     0.10497,      4023.4] fk: 
6.59937544542e-18   

        Parameter values: [0.86187683113294666, 0.10497112950602976, 
4023.3589843152049]
        Function value:   2.412208915217923e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.618768311329467e-01,   1.049711295060298e-01,
         4.023358984315205e+03])fk: 2.412208915217923e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86188,     0.10497,      4023.4] fk: 
2.41220891522e-28   

        Parameter values: [0.86187683113294666, 0.10497112950602976, 
4023.3589843152049]
        Function value:   2.412208915217923e-28
        Iterations:       1
        Function calls:   44
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.86187683113294666, 0.10497112950602976, 
4023.3589843152049]
Function value:   2.412208915217923e-28
Iterations:       14
Function calls:   73
Gradient calls:   17
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value 
(2.41220891522e-28 < None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 14535.724967717997  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
14535.7249677       

        Parameter values: [0.8614932956646707, -0.0012307288407544836, 
5829.6370975338386]
        Function value:   5.298829325867862
        Iterations:       12
        Function calls:   25
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.614932956646707e-01,  -1.230728840754484e-03,
         5.829637097533839e+03])fk: 5.223094651894618   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86149,  -0.0012307,      5829.6] fk: 
5.52603334779       

        Parameter values: [0.86138553690121455, -1.5180506467845573e-05, 
5808.9670579973663]
        Function value:   5.3764250242954974
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.613855369012146e-01,  -1.518050646784557e-05,
         5.808967057997366e+03])fk: 5.3745336708051115  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86139, -1.5181e-05,        5809] fk: 
5.37649415863       

        Parameter values: [0.86138420687701844, -9.533104687087039e-08, 
5808.7104741109833]
        Function value:   5.3764483584938443
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.613842068770184e-01,  -9.533104687087039e-08,
         5.808710474110983e+03])fk: 5.3764363345746471  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86138, -9.5331e-08,      5808.7] fk: 
5.37644836395       

        Parameter values: [0.86138419849895087, -3.0031836797776553e-10, 
5808.7088577274335]
        Function value:   5.3764483603228825
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.613841984989509e-01,  -3.003183679777655e-10,
         5.808708857727433e+03])fk: 5.3764483224385495  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86138, -3.0032e-10,      5808.7] fk: 
5.37644836032       

        Parameter values: [0.86138419847251979, -4.7392779228072318e-13, 
5808.7088526273301]
        Function value:   5.3764483603229056
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.613841984725198e-01,  -4.739277922807232e-13,
         5.808708852627330e+03])fk: 5.3764483602631206  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86138, -4.7393e-13,      5808.7] fk: 
5.37644836032       

        Parameter values: [0.86138419847251979, -4.7378870056273515e-13, 
5808.7088526273283]
        Function value:   5.3764483603228665
        Iterations:       4
        Function calls:   70
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 6       xk: array([  8.613841984725198e-01,  -4.737887005627352e-13,
         5.808708852627328e+03])fk: 5.3764483602630992  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86138, -4.7379e-13,      5808.7] fk: 
5.37644836032       

        Parameter values: [0.86138419847251979, -4.7378802307013413e-13, 
5808.7088526273283]
        Function value:   5.3764483603228665
        Iterations:       1
        Function calls:   23
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.86138419847251979, -4.7378802307013413e-13, 
5808.7088526273283]
Function value:   5.3764483602630992
Iterations:       23
Function calls:   134
Gradient calls:   30
Hessian calls:    23
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (5.37644836026 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 9162.3053340431215  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
9162.30533404       

        Parameter values: [0.82084923217659234, 0.086031350194222797, 
3847.2190073248985]
        Function value:   1.552376008240791e-15
        Iterations:       17
        Function calls:   40
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.208492321765923e-01,   8.603135019422280e-02,
         3.847219007324898e+03])fk: 1.552376008240791e-15
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82085,    0.086031,      3847.2] fk: 
1.55237600824e-15   

        Parameter values: [0.82084923214910988, 0.086031349852922392, 
3847.2190140033213]
        Function value:   1.1008361962658263e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.208492321491099e-01,   8.603134985292239e-02,
         3.847219014003321e+03])fk: 1.1008361962658263e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82085,    0.086031,      3847.2] fk: 
1.10083619627e-27   

        Parameter values: [0.82084923214910999, 0.086031349852922392, 
3847.2190140033213]
        Function value:   4.7898602105575418e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82084923214910999, 0.086031349852922392, 
3847.2190140033213]
Function value:   4.7898602105575418e-28
Iterations:       19
Function calls:   46
Gradient calls:   22
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value 
(4.78986021056e-28 < None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 10343.212446531312  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
10343.2124465       

        Parameter values: [0.84762179079657063, 0.11362194347277729, 
3994.3561472711085]
        Function value:   3.376858076632351e-13
        Iterations:       19
        Function calls:   49
        Gradient calls:   20
        Hessian calls:    19
        Warning:          None


k: 1       xk: array([  8.476217907965706e-01,   1.136219434727773e-01,
         3.994356147271109e+03])fk: 3.376858076632351e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84762,     0.11362,      3994.4] fk: 
3.37685807663e-13   

        Parameter values: [0.84762179053045172, 0.11362193791960266, 
3994.3562548946825]
        Function value:   4.0784575750113007e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.476217905304517e-01,   1.136219379196027e-01,
         3.994356254894682e+03])fk: 4.0784575750113007e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84762,     0.11362,      3994.4] fk: 
4.07845757501e-27   

        Parameter values: [0.84762179053045161, 0.11362193791960201, 
3994.3562548946943]
        Function value:   1.9503246763151302e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84762179053045161, 0.11362193791960201, 
3994.3562548946943]
Function value:   1.9503246763151302e-27
Iterations:       21
Function calls:   55
Gradient calls:   24
Hessian calls:    21
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value 
(1.95032467632e-27 < None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 8384.9214995563452  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
8384.92149956       

        Parameter values: [0.82057772296143994, 0.087187001504548695, 
4374.817781297008]
        Function value:   3.2155373234113668e-12
        Iterations:       16
        Function calls:   42
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.205777229614399e-01,   8.718700150454869e-02,
         4.374817781297008e+03])fk: 3.2155373234113668e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82058,    0.087187,      4374.8] fk: 
3.21553732341e-12   

        Parameter values: [0.82057772342793434, 0.087186980754106469, 
4374.8181780085179]
        Function value:   4.9335118892845149e-25
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.205777234279343e-01,   8.718698075410647e-02,
         4.374818178008518e+03])fk: 4.9335118892845149e-25
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82058,    0.087187,      4374.8] fk: 
4.93351188928e-25   

        Parameter values: [0.82057772342793445, 0.087186980754098267, 
4374.8181780086734]
        Function value:   9.427059154350522e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.205777234279344e-01,   8.718698075409827e-02,
         4.374818178008673e+03])fk: 9.427059154350522e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82058,    0.087187,      4374.8] fk: 
9.42705915435e-28   

        Parameter values: [0.82057772342793456, 0.087186980754098004, 
4374.818178008677]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82057772342793456, 0.087186980754098004, 
4374.818178008677]
Function value:   0.0
Iterations:       19
Function calls:   51
Gradient calls:   23
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 3586.1397725926263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
3586.13977259       

        Parameter values: [0.83229028875816802, 0.11495319543707157, 
2944.2897765972175]
        Function value:   8.6990042867796762e-08
        Iterations:       19
        Function calls:   46
        Gradient calls:   20
        Hessian calls:    19
        Warning:          None


k: 1       xk: array([  8.322902887581680e-01,   1.149531954370716e-01,
         2.944289776597217e+03])fk: 8.6990042867796762e-08
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83229,     0.11495,      2944.3] fk: 
8.69900428678e-08   

        Parameter values: [0.83228971335819213, 0.11495196841168524, 
2944.3130522002002]
        Function value:   8.8817595472981187e-17
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.322897133581921e-01,   1.149519684116852e-01,
         2.944313052200200e+03])fk: 8.8817595472981187e-17
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83229,     0.11495,      2944.3] fk: 
8.8817595473e-17    

        Parameter values: [0.83228971333983404, 0.11495196837246865, 
2944.313052943935]
        Function value:   2.6749224814966986e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.322897133398340e-01,   1.149519683724687e-01,
         2.944313052943935e+03])fk: 2.6749224814966986e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83229,     0.11495,      2944.3] fk: 
2.6749224815e-28    

        Parameter values: [0.83228971333983404, 0.11495196837246865, 
2944.313052943935]
        Function value:   2.6749224814966986e-28
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83228971333983404, 0.11495196837246865, 
2944.313052943935]
Function value:   2.6749224814966986e-28
Iterations:       22
Function calls:   97
Gradient calls:   26
Hessian calls:    22
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (2.6749224815e-28 
< None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
100.000000000000014])fk: 1578.0681282627197  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         100] fk: 
1578.06812826       

        Parameter values: [0.77679853155541556, 0.16423231182053363, 
2462.1550597615546]
        Function value:   2.6912535369324588e-09
        Iterations:       12
        Function calls:   28
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  7.767985315554156e-01,   1.642323118205336e-01,
         2.462155059761555e+03])fk: 2.6912535369324588e-09
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7768,     0.16423,      2462.2] fk: 
2.69125353693e-09   

        Parameter values: [0.77679839520330163, 0.16423213144186669, 
2462.1581124859063]
        Function value:   6.1064367793904714e-20
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.767983952033016e-01,   1.642321314418667e-01,
         2.462158112485906e+03])fk: 6.1064367793904714e-20
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7768,     0.16423,      2462.2] fk: 
6.10643677939e-20   

        Parameter values: [0.77679839520263072, 0.16423213144101589, 
2462.1581125004468]
        Function value:   6.9945842876059397e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.767983952026307e-01,   1.642321314410159e-01,
         2.462158112500447e+03])fk: 6.9945842876059397e-29
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7768,     0.16423,      2462.2] fk: 
6.99458428761e-29   

        Parameter values: [0.77679839520263072, 0.16423213144101589, 
2462.1581125004468]
        Function value:   6.9945842876059397e-29
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.77679839520263072, 0.16423213144101589, 
2462.1581125004468]
Function value:   6.9945842876059397e-29
Iterations:       15
Function calls:   79
Gradient calls:   19
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value 
(6.99458428761e-29 < None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 3923.8932982494239  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
3923.89329825       

        Parameter values: [0.7759465916012408, 0.10216273369384293, 
2803.2675732285124]
        Function value:   1.0477864537452905e-13
        Iterations:       20
        Function calls:   53
        Gradient calls:   21
        Hessian calls:    20
        Warning:          None


k: 1       xk: array([  7.759465916012408e-01,   1.021627336938429e-01,
         2.803267573228512e+03])fk: 1.0477864537452905e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77595,     0.10216,      2803.3] fk: 
1.04778645375e-13   

        Parameter values: [0.77594659109798525, 0.1021627327561981, 
2803.2675888594526]
        Function value:   9.2939505548807524e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.759465910979852e-01,   1.021627327561981e-01,
         2.803267588859453e+03])fk: 9.2939505548807524e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77595,     0.10216,      2803.3] fk: 
9.29395055488e-28   

        Parameter values: [0.77594659109798514, 0.10216273275619821, 
2803.2675888594513]
        Function value:   5.6428537638186709e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.77594659109798514, 0.10216273275619821, 
2803.2675888594513]
Function value:   5.6428537638186709e-28
Iterations:       22
Function calls:   59
Gradient calls:   25
Hessian calls:    22
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value 
(5.64285376382e-28 < None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 3838.2400931972143  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
3838.2400932        

        Parameter values: [0.79220719577629051, 0.14063309793024706, 
2161.7039983347668]
        Function value:   1.1238857171760349e-13
        Iterations:       7
        Function calls:   18
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  7.922071957762905e-01,   1.406330979302471e-01,
         2.161703998334767e+03])fk: 1.1238857171760349e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79221,     0.14063,      2161.7] fk: 
1.12388571718e-13   

        Parameter values: [0.79220719757994762, 0.14063309705746174, 
2161.7040012323146]
        Function value:   6.9471223786744549e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.922071975799476e-01,   1.406330970574617e-01,
         2.161704001232315e+03])fk: 6.9471223786744549e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79221,     0.14063,      2161.7] fk: 
6.94712237867e-27   

        Parameter values: [0.79220719757994773, 0.14063309705746152, 
2161.7040012323164]
        Function value:   2.2316665041159636e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79220719757994773, 0.14063309705746152, 
2161.7040012323164]
Function value:   2.2316665041159636e-27
Iterations:       9
Function calls:   24
Gradient calls:   12
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value 
(2.23166650412e-27 < None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 2644.0677472086636  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
2644.06774721       

        Parameter values: [0.82244120944209798, 0.13895051227323657, 
2761.2432342381694]
        Function value:   1.013635988388666e-10
        Iterations:       20
        Function calls:   62
        Gradient calls:   21
        Hessian calls:    20
        Warning:          None


k: 1       xk: array([  8.224412094420980e-01,   1.389505122732366e-01,
         2.761243234238169e+03])fk: 1.013635988388666e-10
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82244,     0.13895,      2761.2] fk: 
1.01363598839e-10   

        Parameter values: [0.82244118928138898, 0.13895047715802405, 
2761.2438620662419]
        Function value:   8.1124886880368415e-23
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.224411892813890e-01,   1.389504771580241e-01,
         2.761243862066242e+03])fk: 8.1124886880368415e-23
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82244,     0.13895,      2761.2] fk: 
8.11248868804e-23   

        Parameter values: [0.82244118928137111, 0.1389504771579928, 
2761.2438620668036]
        Function value:   1.8474489931413108e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.224411892813711e-01,   1.389504771579928e-01,
         2.761243862066804e+03])fk: 1.8474489931413108e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82244,     0.13895,      2761.2] fk: 
1.84744899314e-27   

        Parameter values: [0.822441189281371, 0.13895047715799272, 
2761.2438620668017]
        Function value:   2.2806088956094657e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.822441189281371, 0.13895047715799272, 2761.2438620668017]
Function value:   2.2806088956094657e-28
Iterations:       23
Function calls:   71
Gradient calls:   27
Hessian calls:    23
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value 
(2.28060889561e-28 < None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 9755.1185275598054  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
9755.11852756       

        Parameter values: [0.83725752306592094, 0.092394070223430949, 
4159.5984120347603]
        Function value:   1.2434602357556852e-11
        Iterations:       17
        Function calls:   43
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.372575230659209e-01,   9.239407022343095e-02,
         4.159598412034760e+03])fk: 1.2434602357556852e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83726,    0.092394,      4159.6] fk: 
1.24346023576e-11   

        Parameter values: [0.83725752222448935, 0.092394024813821002, 
4159.5992833843584]
        Function value:   1.2444239975770633e-23
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.372575222244893e-01,   9.239402481382100e-02,
         4.159599283384358e+03])fk: 1.2444239975770633e-23
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83726,    0.092394,      4159.6] fk: 
1.24442399758e-23   

        Parameter values: [0.83725752222448857, 0.092394024813775497, 
4159.5992833852297]
        Function value:   5.2636330063410841e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.372575222244886e-01,   9.239402481377550e-02,
         4.159599283385230e+03])fk: 5.2636330063410841e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83726,    0.092394,      4159.6] fk: 
5.26363300634e-28   

        Parameter values: [0.83725752222448857, 0.092394024813775497, 
4159.5992833852297]
        Function value:   5.2636330063410841e-28
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83725752222448857, 0.092394024813775497, 
4159.5992833852297]
Function value:   5.2636330063410841e-28
Iterations:       20
Function calls:   94
Gradient calls:   24
Hessian calls:    20
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value 
(5.26363300634e-28 < None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 12849.57758182563   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
12849.5775818       

        Parameter values: [0.81184369337978979, -0.00016310707623485682, 
5946.4058931271184]
        Function value:   0.04832132572143108
        Iterations:       16
        Function calls:   40
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.118436933797898e-01,  -1.631070762348568e-04,
         5.946405893127118e+03])fk: 0.046991129805536908
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81184, -0.00016311,      5946.4] fk: 
0.0523119134691     

        Parameter values: [0.8118278703667251, -2.3885747575861016e-06, 
5943.5181519728194]
        Function value:   0.049690433715176834
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.118278703667251e-01,  -2.388574757586102e-06,
         5.943518151972819e+03])fk: 0.04965090384173175 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81183, -2.3886e-06,      5943.5] fk: 
0.049692145302      

        Parameter values: [0.81182763652798151, -1.7663038880747211e-08, 
5943.4755566645445]
        Function value:   0.04969101268217551
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.118276365279815e-01,  -1.766303888074721e-08,
         5.943475556664544e+03])fk: 0.049690716085218231
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81183, -1.7663e-08,      5943.5] fk: 
0.0496910128694     

        Parameter values: [0.81182763479421738, -6.5810769138210275e-11, 
5943.475240506652]
        Function value:   0.049691012745037885
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.118276347942174e-01,  -6.581076913821028e-11,
         5.943475240506652e+03])fk: 0.049691011639712179
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81183, -6.5811e-11,      5943.5] fk: 
0.049691012745      

        Parameter values: [0.81182763478773878, -1.2235710074675248e-13, 
5943.4752393265107]
        Function value:   0.049691012745042493
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.118276347877388e-01,  -1.223571007467525e-13,
         5.943475239326511e+03])fk: 0.049691012742987442
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81183, -1.2236e-13,      5943.5] fk: 
0.049691012745      

        Parameter values: [0.81182763478773068, -3.7750007697009269e-14, 
5943.475239324991]
        Function value:   0.049691012745028761
        Iterations:       14
        Function calls:   156
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 6       xk: array([  8.118276347877307e-01,  -3.775000769700927e-14,
         5.943475239324991e+03])fk: 0.049691012744394726
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81183,  -3.775e-14,      5943.5] fk: 
0.049691012745      

        Parameter values: [0.81182763478773068, -3.7750000954583545e-14, 
5943.475239324991]
        Function value:   0.049691012745028761
        Iterations:       1
        Function calls:   26
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81182763478773068, -3.7750000954583545e-14, 
5943.475239324991]
Function value:   0.049691012744394726
Iterations:       36
Function calls:   236
Gradient calls:   43
Hessian calls:    36
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (0.0496910127444 
< None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,   0.6              ,  
50.000000000000007])fk: 5238.0626202872581  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,          50] fk: 
5238.06262029       

        Parameter values: [0.83515958564182113, -0.0012425436589544295, 
5843.9348163056138]
        Function value:   4.9911166227538732
        Iterations:       12
        Function calls:   32
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.351595856418211e-01,  -1.242543658954429e-03,
         5.843934816305614e+03])fk: 4.9139208855334804  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83516,  -0.0012425,      5843.9] fk: 
5.22270383442       

        Parameter values: [0.83509400340511108, -1.5125692599488054e-05, 
5824.8786159701986]
        Function value:   5.0701856430021959
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.350940034051111e-01,  -1.512569259948805e-05,
         5.824878615970199e+03])fk: 5.0682833310018554  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -1.5126e-05,      5824.9] fk: 
5.07025427898       

        Parameter values: [0.8350932114055164, -9.3552699735951826e-08, 
5824.6454297087139]
        Function value:   5.0702088046712008
        Iterations:       6
        Function calls:   53
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 3       xk: array([  8.350932114055164e-01,  -9.355269973595183e-08,
         5.824645429708714e+03])fk: 5.0701968955795209  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -9.3553e-08,      5824.6] fk: 
5.07020880992       

        Parameter values: [0.83509320654344299, -2.9234997347799483e-10, 
5824.6439839043878]
        Function value:   5.0702088064327429
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.350932065434430e-01,  -2.923499734779948e-10,
         5.824643983904388e+03])fk: 5.0702087692116091  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -2.9235e-10,      5824.6] fk: 
5.07020880643       

        Parameter values: [0.83509320652807306, -4.5433999231671376e-13, 
5824.6439793765076]
        Function value:   5.0702088064327029
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.350932065280731e-01,  -4.543399923167138e-13,
         5.824643979376508e+03])fk: 5.0702088063748576  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -4.5434e-13,      5824.6] fk: 
5.07020880643       

        Parameter values: [0.83509320652807006, -3.9748857232755775e-13, 
5824.6439793756253]
        Function value:   5.0702088064326825
        Iterations:       3
        Function calls:   38
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([  8.350932065280701e-01,  -3.974885723275578e-13,
         5.824643979375625e+03])fk: 5.0702088063820749  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -3.9749e-13,      5824.6] fk: 
5.07020880643       

        Parameter values: [0.83509320652807006, -3.9748771977288441e-13, 
5824.6439793756253]
        Function value:   5.0702088064326816
        Iterations:       2
        Function calls:   46
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  8.350932065280701e-01,  -3.974877197728844e-13,
         5.824643979375625e+03])fk: 5.0702088063820749  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -3.9749e-13,      5824.6] fk: 
5.07020880643       

        Parameter values: [0.83509320652806085, -2.2307223583356825e-13, 
5824.6439793729205]
        Function value:   5.0702088064326301
        Iterations:       6
        Function calls:   89
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 8       xk: array([  8.350932065280608e-01,  -2.230722358335683e-13,
         5.824643979372921e+03])fk: 5.0702088064042288  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83509, -2.2307e-13,      5824.6] fk: 
5.07020880643       

        Parameter values: [0.83509320652806085, -2.2307177463962324e-13, 
5824.6439793729205]
        Function value:   5.0702088064326301
        Iterations:       1
        Function calls:   23
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83509320652806085, -2.2307177463962324e-13, 
5824.6439793729205]
Function value:   5.0702088064042288
Iterations:       34
Function calls:   292
Gradient calls:   43
Hessian calls:    34
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (5.0702088064 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0.4,  0. ])                                      
  fk: 3793.9008961135901  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.4,           0] fk: 
3793.90089611       

        Parameter values: [0.99999998711672244, 0.38936068634908283, 
2.1685015115160304]
        Function value:   2709.7003682320355
        Iterations:       6
        Function calls:   21
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([ 0.999999987116722,  0.389360686349083,  
2.16850151151603 ])fk: 3709.7003682320355  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,     0.38936,      2.1685] fk: 
3709.70036823       
        k: 100      xk: [     0.41287,     0.38936,      58.402] fk: 
3709.40934572       

        Parameter values: [0.76814153386179851, -0.00086612194907959147, 
6063.1434728259601]
        Function value:   6.1809156218225327
        Iterations:       114
        Function calls:   293
        Gradient calls:   115
        Hessian calls:    114
        Warning:          None


k: 2       xk: array([  7.681415338617985e-01,  -8.661219490795915e-04,
         6.063143472825960e+03])fk: 6.1058988987547895  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76814, -0.00086612,      6063.1] fk: 
6.40596579103       

        Parameter values: [0.76802527412610022, -8.2445607787682356e-06, 
6048.0973796579738]
        Function value:   6.2573567497358775
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  7.680252741261002e-01,  -8.244560778768236e-06,
         6.048097379657974e+03])fk: 6.2559149961691887  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76803, -8.2446e-06,      6048.1] fk: 
6.25739753341       

        Parameter values: [0.76802416239421123, -3.9741436318196356e-08, 
6047.953526553114]
        Function value:   6.2573704753566677
        Iterations:       3
        Function calls:   29
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 4       xk: array([  7.680241623942112e-01,  -3.974143631819636e-08,
         6.047953526553114e+03])fk: 6.2573634594785839  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76802, -3.9741e-08,        6048] fk: 
6.25737047725       

        Parameter values: [0.76802415702387539, -9.7159837117928846e-11, 
6047.9528318382327]
        Function value:   6.2573704759917979
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  7.680241570238754e-01,  -9.715983711792885e-11,
         6.047952831838233e+03])fk: 6.2573704588378316  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76802,  -9.716e-11,        6048] fk: 
6.25737047599       

        Parameter values: [0.76802415701072624, -1.1754371479472781e-13, 
6047.9528301368318]
        Function value:   6.2573704759915731
        Iterations:       4
        Function calls:   11
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 6       xk: array([  7.680241570107262e-01,  -1.175437147947278e-13,
         6.047952830136832e+03])fk: 6.25737047597082    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76802, -1.1754e-13,        6048] fk: 
6.25737047599       

        Parameter values: [0.7680241570107178, -5.4262348058115882e-14, 
6047.9528301357232]
        Function value:   6.2573704759915412
        Iterations:       5
        Function calls:   51
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 7       xk: array([  7.680241570107178e-01,  -5.426234805811588e-14,
         6.047952830135723e+03])fk: 6.2573704759819613  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.76802, -5.4262e-14,        6048] fk: 
6.25737047599       

        Parameter values: [0.7680241570107178, -5.4262192895694233e-14, 
6047.9528301357232]
        Function value:   6.2573704759915412
        Iterations:       1
        Function calls:   22
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.7680241570107178, -5.4262192895694233e-14, 
6047.9528301357232]
Function value:   6.2573704759819613
Iterations:       136
Function calls:   435
Gradient calls:   144
Hessian calls:    136
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (6.25737047598 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 20185.988502226039  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
20185.9885022       

        Parameter values: [0.85386969252245226, 0.12869570029213409, 
3735.3440772213148]
        Function value:   1.1962298666161395e-12
        Iterations:       11
        Function calls:   23
        Gradient calls:   12
        Hessian calls:    11
        Warning:          None


k: 1       xk: array([  8.538696925224523e-01,   1.286957002921341e-01,
         3.735344077221315e+03])fk: 1.1962298666161395e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85387,      0.1287,      3735.3] fk: 
1.19622986662e-12   

        Parameter values: [0.85386969151222758, 0.12869569272003872, 
3735.3442275706125]
        Function value:   5.0018410403507061e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.538696915122276e-01,   1.286956927200387e-01,
         3.735344227570612e+03])fk: 5.0018410403507061e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85387,      0.1287,      3735.3] fk: 
5.00184104035e-26   

        Parameter values: [0.85386969151222736, 0.12869569272003709, 
3735.3442275706429]
        Function value:   1.1072516511293487e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.85386969151222736, 0.12869569272003709, 
3735.3442275706429]
Function value:   1.1072516511293487e-27
Iterations:       13
Function calls:   29
Gradient calls:   16
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value 
(1.10725165113e-27 < None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 7735.9622151644762  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
7735.96221516       

        Parameter values: [0.80065653739135156, 0.1273815079334811, 
4307.2547853377973]
        Function value:   7.1116478909651029e-11
        Iterations:       16
        Function calls:   42
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.006565373913516e-01,   1.273815079334811e-01,
         4.307254785337797e+03])fk: 7.1116478909651029e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80066,     0.12738,      4307.3] fk: 
7.11164789097e-11   

        Parameter values: [0.80065653862598785, 0.12738140520966673, 
4307.2569449538141]
        Function value:   3.7220287290107974e-22
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.006565386259878e-01,   1.273814052096667e-01,
         4.307256944953814e+03])fk: 3.7220287290107974e-22
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80066,     0.12738,      4307.3] fk: 
3.72202872901e-22   

        Parameter values: [0.8006565386259904, 0.12738140520943145, 
4307.2569449587581]
        Function value:   5.2721623404573487e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.006565386259904e-01,   1.273814052094314e-01,
         4.307256944958758e+03])fk: 5.2721623404573487e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80066,     0.12738,      4307.3] fk: 
5.27216234046e-27   

        Parameter values: [0.80065653862599073, 0.12738140520943136, 
4307.2569449587618]
        Function value:   3.2229922248656816e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80065653862599073, 0.12738140520943136, 
4307.2569449587618]
Function value:   3.2229922248656816e-27
Iterations:       19
Function calls:   51
Gradient calls:   23
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value 
(3.22299222487e-27 < None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,   0.6              ,  
50.000000000000007])fk: 7599.5650906297533  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,          50] fk: 
7599.56509063       

        Parameter values: [0.83791751219894806, 0.10784291184881185, 
4318.6281085744804]
        Function value:   2.9170168063402636e-10
        Iterations:       18
        Function calls:   48
        Gradient calls:   19
        Hessian calls:    18
        Warning:          None


k: 1       xk: array([  8.379175121989481e-01,   1.078429118488119e-01,
         4.318628108574480e+03])fk: 2.9170168063402636e-10
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83792,     0.10784,      4318.6] fk: 
2.91701680634e-10   

        Parameter values: [0.83791751485342814, 0.10784273932401933, 
4318.6313911226835]
        Function value:   3.0989537802004779e-21
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.379175148534281e-01,   1.078427393240193e-01,
         4.318631391122683e+03])fk: 3.0989537802004779e-21
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83792,     0.10784,      4318.6] fk: 
3.0989537802e-21    

        Parameter values: [0.83791751485343668, 0.10784273932345675, 
4318.6313911333827]
        Function value:   2.6484647673539911e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.379175148534367e-01,   1.078427393234568e-01,
         4.318631391133383e+03])fk: 2.6484647673539911e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83792,     0.10784,      4318.6] fk: 
2.64846476735e-27   

        Parameter values: [0.83791751485343691, 0.10784273932345667, 
4318.6313911333827]
        Function value:   7.4822445773820588e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83791751485343691, 0.10784273932345667, 
4318.6313911333827]
Function value:   7.4822445773820588e-28
Iterations:       21
Function calls:   57
Gradient calls:   25
Hessian calls:    21
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value 
(7.48224457738e-28 < None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.9              ,   0.8              ,  
50.000000000000007])fk: 10314.748577513816  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         0.8,          50] fk: 
10314.7485775       

        Parameter values: [0.87145458570038326, 0.0048339012039762784, 
5990.878979302297]
        Function value:   2.206059740179043e-14
        Iterations:       16
        Function calls:   37
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.714545857003833e-01,   4.833901203976278e-03,
         5.990878979302297e+03])fk: 2.206059740179043e-14
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87145,   0.0048339,      5990.9] fk: 
2.20605974018e-14   

        Parameter values: [0.87145458611855642, 0.0048338975836408954, 
5990.8790390858439]
        Function value:   1.4428403874452933e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.714545861185564e-01,   4.833897583640895e-03,
         5.990879039085844e+03])fk: 1.4428403874452933e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87145,   0.0048339,      5990.9] fk: 
1.44284038745e-27   

        Parameter values: [0.8714545861185562, 0.0048338975836414054, 
5990.8790390858358]
        Function value:   7.0695697370823392e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8714545861185562, 0.0048338975836414054, 
5990.8790390858358]
Function value:   7.0695697370823392e-29
Iterations:       18
Function calls:   43
Gradient calls:   21
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value 
(7.06956973708e-29 < None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0.4,  0. ])                                      
  fk: 11421.658300851494  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.4,           0] fk: 
11421.6583009       

        Parameter values: [0.5302401918014209, 0.43029777148587378, 
25.328533888973663]
        Function value:   10178.917146900521
        Iterations:       41
        Function calls:   114
        Gradient calls:   42
        Hessian calls:    41
        Warning:          None


k: 1       xk: array([  0.530240191801421,   0.430297771485874,  
25.328533888973663])fk: 11178.916981129518  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.53024,      0.4303,      25.329] fk: 
11178.9168982       

        Parameter values: [0.82535658163666148, -0.0013257285889349366, 
5595.4822871357746]
        Function value:   17.571813906848082
        Iterations:       20
        Function calls:   59
        Gradient calls:   21
        Hessian calls:    20
        Warning:          None


k: 2       xk: array([  8.253565816366615e-01,  -1.325728588934937e-03,
         5.595482287135775e+03])fk: 17.396141163197679  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82536,  -0.0013257,      5595.5] fk: 
18.0991636798       

        Parameter values: [0.82525029890846691, -1.4368276780714835e-05, 
5572.9391040584069]
        Function value:   17.751446774178184
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.252502989084669e-01,  -1.436827678071484e-05,
         5.572939104058407e+03])fk: 17.747595797642269  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82525, -1.4368e-05,      5572.9] fk: 
17.7515706426       

        Parameter values: [0.82524914959353513, -7.9251792987692351e-08, 
5572.693448053994]
        Function value:   17.751488519118183
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  8.252491495935351e-01,  -7.925179298769235e-08,
         5.572693448053994e+03])fk: 17.75146704784763   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82525, -7.9252e-08,      5572.7] fk: 
17.7514885267       

        Parameter values: [0.82524914323720389, -2.1920017859101679e-10, 
5572.6920893297101]
        Function value:   17.751488521644372
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 5       xk: array([  8.252491432372039e-01,  -2.192001785910168e-10,
         5.572692089329710e+03])fk: 17.751488462250634  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82525,  -2.192e-10,      5572.7] fk: 
17.7514885216       

        Parameter values: [0.82524914321959952, -3.0357997623570392e-13, 
5572.6920855664484]
        Function value:   17.751488521644426
        Iterations:       3
        Function calls:   8
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([  8.252491432195995e-01,  -3.035799762357039e-13,
         5.572692085566448e+03])fk: 17.75148852156217   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82525, -3.0358e-13,      5572.7] fk: 
17.7514885216       

        Parameter values: [0.82524914321959952, -3.0350591138520792e-13, 
5572.6920855664475]
        Function value:   17.751488521644426
        Iterations:       1
        Function calls:   15
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82524914321959952, -3.0350591138520792e-13, 
5572.6920855664475]
Function value:   17.751488521562187
Iterations:       72
Function calls:   215
Gradient calls:   79
Hessian calls:    72
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (17.7514885216 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,   0.6              ,  
50.000000000000007])fk: 2972.5097304624842  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,          50] fk: 
2972.50973046       

        Parameter values: [0.94661947770986388, 0.064685918931670805, 
6078.0260255970825]
        Function value:   1.2518932156993759e-12
        Iterations:       16
        Function calls:   36
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  9.466194777098639e-01,   6.468591893167080e-02,
         6.078026025597082e+03])fk: 1.2518932156993759e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.94662,    0.064686,        6078] fk: 
1.2518932157e-12    

        Parameter values: [0.94661948433749499, 0.064685865423093125, 
6078.0269031218168]
        Function value:   4.654142000334191e-25
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  9.466194843374950e-01,   6.468586542309313e-02,
         6.078026903121817e+03])fk: 4.654142000334191e-25
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.94662,    0.064686,        6078] fk: 
4.65414200033e-25   

        Parameter values: [0.94661948433749921, 0.064685865423060623, 
6078.0269031223461]
        Function value:   2.5654748840933445e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.466194843374992e-01,   6.468586542306062e-02,
         6.078026903122346e+03])fk: 2.5654748840933445e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.94662,    0.064686,        6078] fk: 
2.56547488409e-28   

        Parameter values: [0.94661948433749932, 0.064685865423060596, 
6078.0269031223461]
        Function value:   2.0069794826998702e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.94661948433749932, 0.064685865423060596, 
6078.0269031223461]
Function value:   2.0069794826998702e-28
Iterations:       19
Function calls:   45
Gradient calls:   23
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (2.0069794827e-28 
< None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   1.               ,    0.9              ,  
500.000000000000114])fk: 8799.1947964824103  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,         0.9,         500] fk: 
8799.19479648       

        Parameter values: [0.92557263994566041, 0.1876858287031952, 
5009.6817296317049]
        Function value:   -415.87383839138124
        Iterations:       11
        Function calls:   23
        Gradient calls:   12
        Hessian calls:    11
        Warning:          None


k: 1       xk: array([  9.255726399456604e-01,   1.876858287031952e-01,
         5.009681729631705e+03])fk: 51.42816591909942   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.92557,     0.18769,      5009.7] fk: 
35.0791680743       

        Parameter values: [0.96587969413428076, 0.21364398086305836, 
5170.6444683940153]
        Function value:   -16.348997844759676
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  9.658796941342808e-01,   2.136439808630584e-01,
         5.170644468394015e+03])fk: 4.3743276551776655e-17
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.96588,     0.21364,      5170.6] fk: 
4.37432765518e-17   

        Parameter values: [0.96587969414714192, 0.21364398071038104, 
5170.6444712675811]
        Function value:   1.9287603749838521e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.658796941471419e-01,   2.136439807103810e-01,
         5.170644471267581e+03])fk: 1.9287603749838521e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.96588,     0.21364,      5170.6] fk: 
1.92876037498e-27   

        Parameter values: [0.96587969414714214, 0.21364398071038151, 
5170.6444712675748]
        Function value:   1.8245624620243529e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.96587969414714214, 0.21364398071038151, 
5170.6444712675748]
Function value:   1.8245624620243529e-27
Iterations:       17
Function calls:   38
Gradient calls:   21
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value 
(1.82456246202e-27 < None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0.4,  0. ])                                      
  fk: 2785.8942213662008  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.4,           0] fk: 
2785.89422137       

        Parameter values: [0.99999998946385193, 0.37538894083704499, 
2.3471284912777719]
        Function value:   1636.9500149212254
        Iterations:       8
        Function calls:   52
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([ 0.999999989463852,  0.375388940837045,  
2.347128491277772])fk: 2636.9500149212254  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,     0.37539,      2.3471] fk: 
2636.95001492       
        k: 100      xk: [     0.44939,     0.37539,      19.814] fk: 
2636.92822519       

        Parameter values: [0.77990479404283941, -0.0004122025130652973, 
5815.8847695738541]
        Function value:   1.1590519230977372
        Iterations:       133
        Function calls:   363
        Gradient calls:   134
        Hessian calls:    133
        Warning:          None


k: 2       xk: array([  7.799047940428394e-01,  -4.122025130652973e-04,
         5.815884769573854e+03])fk: 1.1420608319200025  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7799,  -0.0004122,      5815.9] fk: 
1.21002519663       

        Parameter values: [0.77983965759278895, -3.6967457421105084e-06, 
5809.046419870604]
        Function value:   1.1763473565769667
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  7.798396575927889e-01,  -3.696745742110508e-06,
         5.809046419870604e+03])fk: 1.1760398618141381  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984, -3.6967e-06,        5809] fk: 
1.17635555613       

        Parameter values: [0.77983907050631096, -1.6720633196452027e-08, 
5808.9848322006337]
        Function value:   1.1763501144880415
        Iterations:       4
        Function calls:   40
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 4       xk: array([  7.798390705063110e-01,  -1.672063319645203e-08,
         5.808984832200634e+03])fk: 1.1763487111940332  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984, -1.6721e-08,        5809] fk: 
1.17635011482       

        Parameter values: [0.77983906784250767, -3.8172313795629327e-11, 
5808.9845531313831]
        Function value:   1.1763501146004265
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  7.798390678425077e-01,  -3.817231379562933e-11,
         5.808984553131383e+03])fk: 1.1763501113965247  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984, -3.8172e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906784016699, -2.3500118530161471e-11, 
5808.9845528858359]
        Function value:   1.1763501146003719
        Iterations:       9
        Function calls:   150
        Gradient calls:   10
        Hessian calls:    9
        Warning:          None


k: 6       xk: array([  7.798390678401670e-01,  -2.350011853016147e-11,
         5.808984552885836e+03])fk: 1.1763501126279441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,   -2.35e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906784016699, -2.3500118521960747e-11, 
5808.9845528858359]
        Function value:   1.1763501146003745
        Iterations:       1
        Function calls:   35
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 7       xk: array([  7.798390678401670e-01,  -2.350011852196075e-11,
         5.808984552885836e+03])fk: 1.1763501126279441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,   -2.35e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906784016699, -2.3500118519567869e-11, 
5808.9845528858359]
        Function value:   1.1763501146003799
        Iterations:       1
        Function calls:   37
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 8       xk: array([  7.798390678401670e-01,  -2.350011851956787e-11,
         5.808984552885836e+03])fk: 1.1763501126279441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,   -2.35e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906784016699, -2.3500118518285716e-11, 
5808.9845528858359]
        Function value:   1.1763501146003905
        Iterations:       1
        Function calls:   38
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 9       xk: array([  7.798390678401670e-01,  -2.350011851828572e-11,
         5.808984552885836e+03])fk: 1.1763501126279441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,   -2.35e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906784016699, -2.3500118517954463e-11, 
5808.9845528858359]
        Function value:   1.1763501146004118
        Iterations:       1
        Function calls:   40
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 10      xk: array([  7.798390678401670e-01,  -2.350011851795446e-11,
         5.808984552885836e+03])fk: 1.1763501126279441  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,   -2.35e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906783278645, 2.2763576508223239e-11, 
5808.9845521115858]
        Function value:   1.1763501146003932
        Iterations:       4
        Function calls:   11
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 11      xk: array([  7.798390678327864e-01,   2.276357650822324e-11,
         5.808984552111586e+03])fk: 1.1763501165110268  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,  2.2764e-11,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906783641799, 4.0403547219714874e-16, 
5808.9845524925395]
        Function value:   1.1763501146004296
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 12      xk: array([  7.798390678364180e-01,   4.040354721971487e-16,
         5.808984552492539e+03])fk: 1.1763501146004636  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,  4.0404e-16,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906783641788, 5.5829496431762711e-21, 
5808.9845524925468]
        Function value:   1.176350114600422
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 13      xk: array([  7.798390678364179e-01,   5.582949643176271e-21,
         5.808984552492547e+03])fk: 1.176350114600422   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77984,  5.5829e-21,        5809] fk: 
1.1763501146        

        Parameter values: [0.77983906783641788, 4.2549766114492234e-21, 
5808.9845524925468]
        Function value:   1.176350114600422
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.77983906783641788, 4.2549766114492234e-21, 
5808.9845524925468]
Function value:   1.176350114600422
Iterations:       172
Function calls:   797
Gradient calls:   186
Hessian calls:    172
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (1.1763501146 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 11565.565110970663  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
11565.565111        

        Parameter values: [0.87976401413110272, 0.002457019760271891, 
6132.6712725630068]
        Function value:   1.6756565676818346e-09
        Iterations:       15
        Function calls:   32
        Gradient calls:   16
        Hessian calls:    15
        Warning:          None


k: 1       xk: array([  8.797640141311027e-01,   2.457019760271891e-03,
         6.132671272563007e+03])fk: 1.6756565676818346e-09
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87976,    0.002457,      6132.7] fk: 
1.67565656768e-09   

        Parameter values: [0.87976422185916014, 0.0024552888750935041, 
6132.7001560822791]
        Function value:   8.9611259386048902e-19
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.797642218591601e-01,   2.455288875093504e-03,
         6.132700156082279e+03])fk: 8.9611259386048902e-19
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87976,   0.0024553,      6132.7] fk: 
8.9611259386e-19    

        Parameter values: [0.87976422186396075, 0.0024552888350645547, 
6132.7001567500856]
        Function value:   1.6213885594103856e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.797642218639607e-01,   2.455288835064555e-03,
         6.132700156750086e+03])fk: 1.6213885594103856e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87976,   0.0024553,      6132.7] fk: 
1.62138855941e-28   

        Parameter values: [0.87976422186396075, 0.0024552888350645092, 
6132.7001567500856]
        Function value:   0.0
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.87976422186396075, 0.0024552888350645092, 
6132.7001567500856]
Function value:   0.0
Iterations:       18
Function calls:   42
Gradient calls:   22
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 16032.874624729524  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
16032.8746247       

        Parameter values: [0.87251531964922913, 0.052282102728551223, 
4851.3704681016943]
        Function value:   3.3707967146234445e-10
        Iterations:       17
        Function calls:   42
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.725153196492291e-01,   5.228210272855122e-02,
         4.851370468101694e+03])fk: 3.3707967146234445e-10
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87252,    0.052282,      4851.4] fk: 
3.37079671462e-10   

        Parameter values: [0.87251534321133484, 0.052281753267104471, 
4851.3765572498396]
        Function value:   1.3169324378195691e-20
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.725153432113348e-01,   5.228175326710447e-02,
         4.851376557249840e+03])fk: 1.3169324378195691e-20
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87252,    0.052282,      4851.4] fk: 
1.31693243782e-20   

        Parameter values: [0.87251534321148216, 0.052281753264919656, 
4851.3765572878938]
        Function value:   9.6052500885800629e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.725153432114822e-01,   5.228175326491966e-02,
         4.851376557287894e+03])fk: 9.6052500885800629e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87252,    0.052282,      4851.4] fk: 
9.60525008858e-28   

        Parameter values: [0.87251534321148227, 0.052281753264919566, 
4851.3765572878938]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.87251534321148227, 0.052281753264919566, 
4851.3765572878938]
Function value:   0.0
Iterations:       20
Function calls:   51
Gradient calls:   24
Hessian calls:    20
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 12474.619573803913  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
12474.6195738       

        Parameter values: [0.84820839028117556, 0.030399591292163349, 
5110.8690635202947]
        Function value:   4.5848627170278757e-13
        Iterations:       14
        Function calls:   31
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.482083902811756e-01,   3.039959129216335e-02,
         5.110869063520295e+03])fk: 4.5848627170278757e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84821,      0.0304,      5110.9] fk: 
4.58486271703e-13   

        Parameter values: [0.84820839166113748, 0.030399574987944981, 
5110.8693483202569]
        Function value:   4.9697238178052706e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.482083916611375e-01,   3.039957498794498e-02,
         5.110869348320257e+03])fk: 4.9697238178052706e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84821,      0.0304,      5110.9] fk: 
4.96972381781e-26   

        Parameter values: [0.84820839166113826, 0.030399574987940707, 
5110.8693483203297]
        Function value:   4.6640632122476102e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84820839166113826, 0.030399574987940707, 
5110.8693483203297]
Function value:   4.6640632122476102e-27
Iterations:       16
Function calls:   37
Gradient calls:   19
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value 
(4.66406321225e-27 < None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 4505.521716509591   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
4505.52171651       

        Parameter values: [0.88121323941528729, 0.078224724100880813, 
4156.0745999383735]
        Function value:   4.2073053728216872e-16
        Iterations:       18
        Function calls:   43
        Gradient calls:   19
        Hessian calls:    18
        Warning:          None


k: 1       xk: array([  8.812132394152873e-01,   7.822472410088081e-02,
         4.156074599938373e+03])fk: 4.2073053728216872e-16
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.88121,    0.078225,      4156.1] fk: 
4.20730537282e-16   

        Parameter values: [0.88121323941491725, 0.078224723860654197, 
4156.074604169582]
        Function value:   4.9030279856913452e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.812132394149172e-01,   7.822472386065420e-02,
         4.156074604169582e+03])fk: 4.9030279856913452e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.88121,    0.078225,      4156.1] fk: 
4.90302798569e-28   

        Parameter values: [0.88121323941491736, 0.078224723860653947, 
4156.0746041695857]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.88121323941491736, 0.078224723860653947, 
4156.0746041695857]
Function value:   0.0
Iterations:       20
Function calls:   49
Gradient calls:   23
Hessian calls:    20
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 10476.892534074435  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
10476.8925341       

        Parameter values: [0.86983446683767074, 0.0053119022746495577, 
5682.0799401222475]
        Function value:   9.7101666916405165e-12
        Iterations:       16
        Function calls:   44
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.698344668376707e-01,   5.311902274649558e-03,
         5.682079940122248e+03])fk: 9.7101666916405165e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86983,   0.0053119,      5682.1] fk: 
9.71016669164e-12   

        Parameter values: [0.86983447635653044, 0.0053118190683067697, 
5682.081321520317]
        Function value:   1.1362826874341181e-23
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.698344763565304e-01,   5.311819068306770e-03,
         5.682081321520317e+03])fk: 1.1362826874341181e-23
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86983,   0.0053118,      5682.1] fk: 
1.13628268743e-23   

        Parameter values: [0.86983447635654099, 0.005311819068217068, 
5682.0813215218086]
        Function value:   2.0095364445541946e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.698344763565410e-01,   5.311819068217068e-03,
         5.682081321521809e+03])fk: 2.0095364445541946e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86983,   0.0053118,      5682.1] fk: 
2.00953644455e-27   

        Parameter values: [0.86983447635654088, 0.0053118190682172259, 
5682.0813215218022]
        Function value:   1.4725701809158132e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.86983447635654088, 0.0053118190682172259, 
5682.0813215218022]
Function value:   1.4725701809158132e-27
Iterations:       19
Function calls:   53
Gradient calls:   23
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value 
(1.47257018092e-27 < None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,   0.6              ,  
50.000000000000007])fk: 5042.4880432415594  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,          50] fk: 
5042.48804324       

        Parameter values: [0.86723912040347506, 0.031868082229489149, 
5524.9407024958136]
        Function value:   3.5565090329075913e-09
        Iterations:       17
        Function calls:   38
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.672391204034751e-01,   3.186808222948915e-02,
         5.524940702495814e+03])fk: 3.5565090329075913e-09
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86724,    0.031868,      5524.9] fk: 
3.55650903291e-09   

        Parameter values: [0.86723928607578471, 0.031866570436696336, 
5524.9663330256517]
        Function value:   1.3406526337974218e-18
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.672392860757847e-01,   3.186657043669634e-02,
         5.524966333025652e+03])fk: 1.3406526337974218e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86724,    0.031867,        5525] fk: 
1.3406526338e-18    

        Parameter values: [0.86723928607900369, 0.031866570407329188, 
5524.9663335231598]
        Function value:   2.6896517209340104e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.672392860790037e-01,   3.186657040732919e-02,
         5.524966333523160e+03])fk: 2.6896517209340104e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86724,    0.031867,        5525] fk: 
2.68965172093e-28   

        Parameter values: [0.86723928607900358, 0.031866570407329015, 
5524.9663335231598]
        Function value:   6.724129302335026e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.86723928607900358, 0.031866570407329015, 
5524.9663335231598]
Function value:   6.724129302335026e-29
Iterations:       20
Function calls:   47
Gradient calls:   24
Hessian calls:    20
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value 
(6.72412930234e-29 < None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   4.000000000000000e-01,
         5.000000000000001e+02])fk: 41440.463588633851  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,         500] fk: 
41440.4635886       

        Parameter values: [0.81304273042002584, 0.020791631907211828, 
5717.5544628013859]
        Function value:   8.3882842943664094e-11
        Iterations:       16
        Function calls:   38
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.130427304200258e-01,   2.079163190721183e-02,
         5.717554462801386e+03])fk: 8.3882842943664094e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81304,    0.020792,      5717.6] fk: 
8.38828429437e-11   

        Parameter values: [0.8130427529365174, 0.020791425060657603, 
5717.558263991853]
        Function value:   1.1491115060643608e-21
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.130427529365174e-01,   2.079142506065760e-02,
         5.717558263991853e+03])fk: 1.1491115060643608e-21
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81304,    0.020791,      5717.6] fk: 
1.14911150606e-21   

        Parameter values: [0.81304275293660078, 0.020791425059892274, 
5717.5582640059165]
        Function value:   2.8545068439027677e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.130427529366008e-01,   2.079142505989227e-02,
         5.717558264005916e+03])fk: 2.8545068439027677e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81304,    0.020791,      5717.6] fk: 
2.8545068439e-28    

        Parameter values: [0.81304275293660078, 0.020791425059892274, 
5717.5582640059165]
        Function value:   2.8545068439027677e-28
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81304275293660078, 0.020791425059892274, 
5717.5582640059165]
Function value:   2.8545068439027677e-28
Iterations:       19
Function calls:   89
Gradient calls:   23
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (2.8545068439e-28 
< None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 33237.500523772156  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
33237.5005238       

        Parameter values: [0.83006593690088859, 0.10906277709590149, 
3922.3399302298312]
        Function value:   1.5816785227941296e-14
        Iterations:       13
        Function calls:   28
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([  8.300659369008886e-01,   1.090627770959015e-01,
         3.922339930229831e+03])fk: 1.5816785227941296e-14
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83007,     0.10906,      3922.3] fk: 
1.58167852279e-14   

        Parameter values: [0.8300659368183928, 0.10906277615021283, 
3922.339949270025]
        Function value:   4.0132115004204014e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.300659368183928e-01,   1.090627761502128e-01,
         3.922339949270025e+03])fk: 4.0132115004204014e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83007,     0.10906,      3922.3] fk: 
4.01321150042e-27   

        Parameter values: [0.8300659368183928, 0.10906277615021283, 
3922.339949270025]
        Function value:   4.0132115004204014e-27
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8300659368183928, 0.10906277615021283, 3922.339949270025]
Function value:   4.0132115004204014e-27
Iterations:       15
Function calls:   76
Gradient calls:   18
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value 
(4.01321150042e-27 < None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,    0.7              ,  
500.000000000000114])fk: 22593.383707433779  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         0.7,         500] fk: 
22593.3837074       

        Parameter values: [0.8405326238325268, -0.00060747820542145692, 
6313.0721730471605]
        Function value:   0.71418605410309921
        Iterations:       14
        Function calls:   30
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.405326238325268e-01,  -6.074782054214569e-04,
         6.313072173047161e+03])fk: 0.69573456559999547 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84053, -0.00060748,      6313.1] fk: 
0.769540519612      

        Parameter values: [0.84048195745519794, -9.3292878014306179e-06, 
6302.8066293074098]
        Function value:   0.73320314538348652
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.404819574551979e-01,  -9.329287801430618e-06,
         6.302806629307410e+03])fk: 0.73262770792125098 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -9.3293e-06,      6302.8] fk: 
0.733229256067      

        Parameter values: [0.84048117573210523, -7.2634385934056365e-08, 
6302.6477764054471]
        Function value:   0.73321198446579483
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.404811757321052e-01,  -7.263438593405637e-08,
         6.302647776405447e+03])fk: 0.73320743550458389 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -7.2634e-08,      6302.6] fk: 
0.733211987631      

        Parameter values: [0.84048116962239772, -2.8388381938852174e-10, 
6302.6465348039919]
        Function value:   0.73321198552922551
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.404811696223977e-01,  -2.838838193885217e-10,
         6.302646534803992e+03])fk: 0.73321196774593533 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -2.8388e-10,      6302.6] fk: 
0.733211985529      

        Parameter values: [0.84048116959847419, -5.5595714579607098e-13, 
6302.6465299418296]
        Function value:   0.73321198552927713
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.404811695984742e-01,  -5.559571457960710e-13,
         6.302646529941830e+03])fk: 0.73321198549445032 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -5.5596e-13,      6302.6] fk: 
0.733211985529      

        Parameter values: [0.84048116959842745, -5.4489123434207338e-16, 
6302.6465299322999]
        Function value:   0.7332119855292385
        Iterations:       3
        Function calls:   12
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([  8.404811695984274e-01,  -5.448912343420734e-16,
         6.302646529932300e+03])fk: 0.73321198552920441 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -5.4489e-16,      6302.6] fk: 
0.733211985529      

        Parameter values: [0.84048116959842745, -5.2760847789435638e-16, 
6302.6465299322999]
        Function value:   0.73321198552923006
        Iterations:       2
        Function calls:   21
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  8.404811695984274e-01,  -5.276084778943564e-16,
         6.302646529932300e+03])fk: 0.73321198552919697 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048, -5.2761e-16,      6302.6] fk: 
0.733211985529      

        Parameter values: [0.84048116959842711, 2.6372927098063204e-16, 
6302.6465299322908]
        Function value:   0.73321198552922173
        Iterations:       2
        Function calls:   9
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 8       xk: array([  8.404811695984271e-01,   2.637292709806320e-16,
         6.302646529932291e+03])fk: 0.73321198552923827 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84048,  2.6373e-16,      6302.6] fk: 
0.733211985529      

        Parameter values: [0.84048116959842711, 2.6321426364961061e-16, 
6302.6465299322908]
        Function value:   0.73321198552922173
        Iterations:       1
        Function calls:   12
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84048116959842711, 2.6321426364961061e-16, 
6302.6465299322908]
Function value:   0.73321198552923827
Iterations:       28
Function calls:   100
Gradient calls:   37
Hessian calls:    28
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (0.733211985529 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.5,  0.5,  0. ])                                      
  fk: 7439.6317790309622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.5,           0] fk: 
7439.63177903       

        Parameter values: [0.57877162616499245, 0.47879099249983209, 
19.281031924449337]
        Function value:   6284.6920816745842
        Iterations:       54
        Function calls:   155
        Gradient calls:   55
        Hessian calls:    54
        Warning:          None


k: 1       xk: array([  0.578771626164992,   0.478790992499832,  
19.281031924449337])fk: 7284.6920629218375  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.57877,     0.47879,      19.281] fk: 
7284.69205355       

        Parameter values: [0.75229625708444403, -0.00066328931868178545, 
6632.2256327454597]
        Function value:   4.4085637549236534
        Iterations:       25
        Function calls:   67
        Gradient calls:   26
        Hessian calls:    25
        Warning:          None


k: 2       xk: array([  7.522962570844440e-01,  -6.632893186817855e-04,
         6.632225632745460e+03])fk: 4.3645778592690467  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7523, -0.00066329,      6632.2] fk: 
4.54055894738       

        Parameter values: [0.75222863444445731, -5.0175763126827065e-06, 
6619.8083268700202]
        Function value:   4.4532326803851117
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  7.522286344444573e-01,  -5.017576312682707e-06,
         6.619808326870020e+03])fk: 4.4525620242159265  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -5.0176e-06,      6619.8] fk: 
4.45324778603       

        Parameter values: [0.75222812185965882, -1.9167096011938214e-08, 
6619.714054714751]
        Function value:   4.4532377540681054
        Iterations:       7
        Function calls:   50
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 4       xk: array([  7.522281218596588e-01,  -1.916709601193821e-08,
         6.619714054714751e+03])fk: 4.4532351727861972  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.9167e-08,      6619.7] fk: 
4.45323775451       

        Parameter values: [0.75222811989866512, -3.6732864715563586e-11, 
6619.7136939219545]
        Function value:   4.4532377542156949
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  7.522281198986651e-01,  -3.673286471556359e-11,
         6.619713693921954e+03])fk: 4.4532377492685038  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -3.6733e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091567472495214e-11, 
6619.7136935137951]
        Function value:   4.4532377542155634
        Iterations:       12
        Function calls:   157
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 6       xk: array([  7.522281198964459e-01,  -1.509156747249521e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091567135488546e-11, 
6619.7136935137951]
        Function value:   4.4532377542155652
        Iterations:       1
        Function calls:   29
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 7       xk: array([  7.522281198964459e-01,  -1.509156713548855e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091566938802696e-11, 
6619.7136935137951]
        Function value:   4.453237754215567
        Iterations:       1
        Function calls:   30
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 8       xk: array([  7.522281198964459e-01,  -1.509156693880270e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091566886107155e-11, 
6619.7136935137951]
        Function value:   4.4532377542155706
        Iterations:       1
        Function calls:   32
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 9       xk: array([  7.522281198964459e-01,  -1.509156688610716e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091566885256251e-11, 
6619.7136935137951]
        Function value:   4.4532377542155803
        Iterations:       1
        Function calls:   38
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 10      xk: array([  7.522281198964459e-01,  -1.509156688525625e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091566885148169e-11, 
6619.7136935137951]
        Function value:   4.4532377542155972
        Iterations:       1
        Function calls:   41
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 11      xk: array([  7.522281198964459e-01,  -1.509156688514817e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989644589, -1.5091566885093698e-11, 
6619.7136935137951]
        Function value:   4.4532377542156318
        Iterations:       1
        Function calls:   42
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 12      xk: array([  7.522281198964459e-01,  -1.509156688509370e-11,
         6.619713693513795e+03])fk: 4.4532377521830266  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223, -1.5092e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.7522281198933628, 1.4973276729052049e-11, 
6619.7136929467579]
        Function value:   4.4532377542155599
        Iterations:       3
        Function calls:   10
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 13      xk: array([  7.522281198933628e-01,   1.497327672905205e-11,
         6.619713692946758e+03])fk: 4.4532377562322107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223,  1.4973e-11,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989489824, 5.6073148674675806e-17, 
6619.7136932291596]
        Function value:   4.4532377542156745
        Iterations:       3
        Function calls:   11
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 14      xk: array([  7.522281198948982e-01,   5.607314867467581e-17,
         6.619713693229160e+03])fk: 4.4532377542156825  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223,  5.6073e-17,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989489824, 1.4666339562257097e-22, 
6619.7136932291596]
        Function value:   4.4532377542156523
        Iterations:       3
        Function calls:   11
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 15      xk: array([  7.522281198948982e-01,   1.466633956225710e-22,
         6.619713693229160e+03])fk: 4.4532377542156523  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.75223,  1.4666e-22,      6619.7] fk: 
4.45323775422       

        Parameter values: [0.75222811989489824, 8.5994478698141299e-23, 
6619.7136932291596]
        Function value:   4.4532377542156523
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.75222811989489824, 8.5994478698141299e-23, 
6619.7136932291596]
Function value:   4.4532377542156523
Iterations:       117
Function calls:   685
Gradient calls:   133
Hessian calls:    117
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (4.45323775422 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 16203.094648042041  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
16203.094648        

        Parameter values: [0.83732440737499203, 0.028130751923042673, 
5182.5125012809722]
        Function value:   3.823208969970685e-11
        Iterations:       14
        Function calls:   39
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.373244073749920e-01,   2.813075192304267e-02,
         5.182512501280972e+03])fk: 3.823208969970685e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83732,    0.028131,      5182.5] fk: 
3.82320896997e-11   

        Parameter values: [0.83732441740499808, 0.028130648576189139, 
5182.5143229477799]
        Function value:   9.4589908734095962e-23
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.373244174049981e-01,   2.813064857618914e-02,
         5.182514322947780e+03])fk: 9.4589908734095962e-23
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83732,    0.028131,      5182.5] fk: 
9.45899087341e-23   

        Parameter values: [0.83732441740501384, 0.028130648576026578, 
5182.5143229506448]
        Function value:   1.2888289099746744e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.373244174050138e-01,   2.813064857602658e-02,
         5.182514322950645e+03])fk: 1.2888289099746744e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83732,    0.028131,      5182.5] fk: 
1.28882890997e-26   

        Parameter values: [0.83732441740501384, 0.028130648576026623, 
5182.5143229506393]
        Function value:   1.1884785898003459e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83732441740501384, 0.028130648576026623, 
5182.5143229506393]
Function value:   1.1884785898003459e-26
Iterations:       17
Function calls:   48
Gradient calls:   21
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (1.1884785898e-26 
< None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   4.000000000000000e-01,
         5.000000000000001e+02])fk: 39490.775681817198  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,         500] fk: 
39490.7756818       

        Parameter values: [0.83243265149988444, 0.029629513698217667, 
5468.5092479078312]
        Function value:   5.9269085427554923e-17
        Iterations:       16
        Function calls:   33
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.324326514998844e-01,   2.962951369821767e-02,
         5.468509247907831e+03])fk: 5.9269085427554923e-17
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83243,     0.02963,      5468.5] fk: 
5.92690854276e-17   

        Parameter values: [0.83243265151686685, 0.029629513525952746, 
5468.5092510202458]
        Function value:   2.3458498310699181e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.324326515168669e-01,   2.962951352595275e-02,
         5.468509251020246e+03])fk: 2.3458498310699181e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83243,     0.02963,      5468.5] fk: 
2.34584983107e-28   

        Parameter values: [0.83243265151686685, 0.029629513525952746, 
5468.5092510202458]
        Function value:   2.3458498310699181e-28
        Iterations:       1
        Function calls:   44
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83243265151686685, 0.029629513525952746, 
5468.5092510202458]
Function value:   2.3458498310699181e-28
Iterations:       18
Function calls:   80
Gradient calls:   21
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value 
(2.34584983107e-28 < None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   4.000000000000000e-01,
         5.000000000000001e+02])fk: 38383.92737669163   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.4,         500] fk: 
38383.9273767       

        Parameter values: [0.81575045245223066, 0.069855948554945882, 
4491.0178150868032]
        Function value:   5.9795471993268125e-15
        Iterations:       16
        Function calls:   34
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.157504524522307e-01,   6.985594855494588e-02,
         4.491017815086803e+03])fk: 5.9795471993268125e-15
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81575,    0.069856,        4491] fk: 
5.97954719933e-15   

        Parameter values: [0.8157504524614918, 0.069855947473886376, 
4491.0178360661284]
        Function value:   2.2746693309876042e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.157504524614918e-01,   6.985594747388638e-02,
         4.491017836066128e+03])fk: 2.2746693309876042e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81575,    0.069856,        4491] fk: 
2.27466933099e-27   

        Parameter values: [0.8157504524614918, 0.069855947473886376, 
4491.0178360661284]
        Function value:   2.2746693309876042e-27
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8157504524614918, 0.069855947473886376, 
4491.0178360661284]
Function value:   2.2746693309876042e-27
Iterations:       18
Function calls:   82
Gradient calls:   21
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value 
(2.27466933099e-27 < None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.4,  0.4,  0. ])                                      
  fk: 2078.421494703497   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.4,           0] fk: 
2078.4214947        

        Parameter values: [0.99999996980298689, 0.43804070232158154, 
3.6483710765227624]
        Function value:   991.63913089686389
        Iterations:       8
        Function calls:   32
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([ 0.999999969802987,  0.438040702321582,  
3.648371076522762])fk: 1991.6391308968639  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,     0.43804,      3.6484] fk: 
1991.6391309        

        Parameter values: [0.82854181032493146, -0.0001691344681092102, 
5593.2426528909718]
        Function value:   0.46490868176568328
        Iterations:       80
        Function calls:   222
        Gradient calls:   81
        Hessian calls:    80
        Warning:          None


k: 2       xk: array([  8.285418103249315e-01,  -1.691344681092102e-04,
         5.593242652890972e+03])fk: 0.46204803493542473 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82854, -0.00016913,      5593.2] fk: 
0.473490622256      

        Parameter values: [0.82852603246106649, -6.3104021552635035e-07, 
5590.550216520096]
        Function value:   0.46779066404878067
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.285260324610665e-01,  -6.310402155263504e-07,
         5.590550216520096e+03])fk: 0.46776923827618822 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853, -6.3104e-07,      5590.6] fk: 
0.467790902976      

        Parameter values: [0.82852597352132595, -1.1813426792007395e-09, 
5590.5401530603585]
        Function value:   0.46779074398932891
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.285259735213260e-01,  -1.181342679200740e-09,
         5.590540153060359e+03])fk: 0.46779070372942766 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853, -1.1813e-09,      5590.5] fk: 
0.467790743991      

        Parameter values: [0.82852597341101375, -1.1106024288576645e-12, 
5590.5401342070891]
        Function value:   0.46779074398990272
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.285259734110137e-01,  -1.110602428857665e-12,
         5.590540134207089e+03])fk: 0.46779074395205311 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853, -1.1106e-12,      5590.5] fk: 
0.46779074399       

        Parameter values: [0.82852597341090983, -5.2068028466090761e-16, 
5590.5401341893521]
        Function value:   0.46779074398988618
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  8.285259734109098e-01,  -5.206802846609076e-16,
         5.590540134189352e+03])fk: 0.46779074398986842 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853, -5.2068e-16,      5590.5] fk: 
0.46779074399       

        Parameter values: [0.82852597341090983, -4.1638827168685703e-16, 
5590.5401341893521]
        Function value:   0.46779074398988263
        Iterations:       7
        Function calls:   56
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 7       xk: array([  8.285259734109098e-01,  -4.163882716868570e-16,
         5.590540134189352e+03])fk: 0.46779074398986842 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853, -4.1639e-16,      5590.5] fk: 
0.46779074399       

        Parameter values: [0.82852597341090972, 2.0818005528429024e-16, 
5590.5401341893421]
        Function value:   0.46779074398986431
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 8       xk: array([  8.285259734109097e-01,   2.081800552842902e-16,
         5.590540134189342e+03])fk: 0.46779074398987142 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853,  2.0818e-16,      5590.5] fk: 
0.46779074399       

        Parameter values: [0.82852597341090972, 1.8180563717285227e-16, 
5590.5401341893421]
        Function value:   0.4677907439898622
        Iterations:       2
        Function calls:   17
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 9       xk: array([  8.285259734109097e-01,   1.818056371728523e-16,
         5.590540134189342e+03])fk: 0.46779074398986842 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82853,  1.8181e-16,      5590.5] fk: 
0.46779074399       

        Parameter values: [0.82852597341090972, 1.8167248828256801e-16, 
5590.5401341893421]
        Function value:   0.4677907439898622
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82852597341090972, 1.8167248828256801e-16, 
5590.5401341893421]
Function value:   0.46779074398986842
Iterations:       106
Function calls:   364
Gradient calls:   116
Hessian calls:    106
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (0.46779074399 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 7037.2094226457175  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
7037.20942265       

        Parameter values: [0.80254544355170099, -0.00059996984800583081, 
5998.7711425600401]
        Function value:   1.8100454417255762
        Iterations:       20
        Function calls:   52
        Gradient calls:   21
        Hessian calls:    20
        Warning:          None


k: 1       xk: array([  8.025454435517010e-01,  -5.999698480058308e-04,
         5.998771142560040e+03])fk: 1.7920472507997693  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80255, -0.00059997,      5998.8] fk: 
1.8640400145        

        Parameter values: [0.80248649109646863, -4.5553219896216615e-06, 
5987.8713401554296]
        Function value:   1.8283163671275973
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.024864910964686e-01,  -4.555321989621661e-06,
         5.987871340155430e+03])fk: 1.8280409864475813  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80249, -4.5553e-06,      5987.9] fk: 
1.82832259242       

        Parameter values: [0.80248604267356405, -1.7468721117485775e-08, 
5987.7882597793887]
        Function value:   1.8283184581390866
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.024860426735640e-01,  -1.746872111748578e-08,
         5.987788259779389e+03])fk: 1.8283173940923301  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80249, -1.7469e-08,      5987.8] fk: 
1.82831845832       

        Parameter values: [0.80248604095742804, -3.3981976718961683e-11, 
5987.7879405074373]
        Function value:   1.8283184582003653
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.024860409574280e-01,  -3.398197671896168e-11,
         5.987787940507437e+03])fk: 1.8283184561303516  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80249, -3.3982e-11,      5987.8] fk: 
1.8283184582        

        Parameter values: [0.8024860409540735, -3.2678774463067611e-14, 
5987.7879398858822]
        Function value:   1.8283184582003245
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.024860409540735e-01,  -3.267877446306761e-14,
         5.987787939885882e+03])fk: 1.8283184581983338  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80249, -3.2679e-14,      5987.8] fk: 
1.8283184582        

        Parameter values: [0.8024860409540735, -3.2612989283725706e-14, 
5987.7879398858813]
        Function value:   1.8283184582003191
        Iterations:       2
        Function calls:   28
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  8.024860409540735e-01,  -3.261298928372571e-14,
         5.987787939885881e+03])fk: 1.8283184581983325  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80249, -3.2613e-14,      5987.8] fk: 
1.8283184582        

        Parameter values: [0.8024860409540735, -3.2612802715155397e-14, 
5987.7879398858813]
        Function value:   1.8283184582003191
        Iterations:       1
        Function calls:   21
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8024860409540735, -3.2612802715155397e-14, 
5987.7879398858813]
Function value:   1.8283184581983325
Iterations:       28
Function calls:   115
Gradient calls:   35
Hessian calls:    28
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (1.8283184582 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 8024.1720430371197  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
8024.17204304       

        Parameter values: [0.82846516208028231, -0.00099401312148855898, 
5591.9490607599128]
        Function value:   3.2213095240080212
        Iterations:       17
        Function calls:   40
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.284651620802823e-01,  -9.940131214885590e-04,
         5.591949060759913e+03])fk: 3.1719064197234497  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82847, -0.00099401,      5591.9] fk: 
3.36951883686       

        Parameter values: [0.82838871479538045, -1.2006388542729747e-05, 
5575.0336740867242]
        Function value:   3.271902025578854
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.283887147953805e-01,  -1.200638854272975e-05,
         5.575033674086724e+03])fk: 3.2706941594669536  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -1.2006e-05,        5575] fk: 
3.27194527159       

        Parameter values: [0.82838779167024235, -7.3711158598680447e-08, 
5574.8281205136282]
        Function value:   3.2719166179089791
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.283877916702423e-01,  -7.371115859868045e-08,
         5.574828120513628e+03])fk: 3.2719091128354654  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -7.3711e-08,      5574.8] fk: 
3.27191662117       

        Parameter values: [0.82838778598585783, -2.2699357347888616e-10, 
5574.8268546669124]
        Function value:   3.2719166190023921
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.283877859858578e-01,  -2.269935734788862e-10,
         5.574826854666912e+03])fk: 3.271916595887145   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -2.2699e-10,      5574.8] fk: 
3.271916619         

        Parameter values: [0.82838778596832852, -3.5014103455614352e-13, 
5574.8268507627245]
        Function value:   3.2719166190024471
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.283877859683285e-01,  -3.501410345561435e-13,
         5.574826850762724e+03])fk: 3.2719166189667916  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -3.5014e-13,      5574.8] fk: 
3.271916619         

        Parameter values: [0.82838778596830154, -2.7043254083079377e-16, 
5574.8268507566918]
        Function value:   3.2719166190023867
        Iterations:       2
        Function calls:   9
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  8.283877859683015e-01,  -2.704325408307938e-16,
         5.574826850756692e+03])fk: 3.2719166190023592  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -2.7043e-16,      5574.8] fk: 
3.271916619         

        Parameter values: [0.82838778596830154, -2.5154560380400933e-16, 
5574.8268507566918]
        Function value:   3.271916619002385
        Iterations:       2
        Function calls:   16
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  8.283877859683015e-01,  -2.515456038040093e-16,
         5.574826850756692e+03])fk: 3.2719166190023592  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -2.5155e-16,      5574.8] fk: 
3.271916619         

        Parameter values: [0.82838778596830154, -2.4988814658906202e-16, 
5574.8268507566918]
        Function value:   3.2719166190023845
        Iterations:       2
        Function calls:   24
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 8       xk: array([  8.283877859683015e-01,  -2.498881465890620e-16,
         5.574826850756692e+03])fk: 3.2719166190023592  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82839, -2.4989e-16,      5574.8] fk: 
3.271916619         

        Parameter values: [0.82838778596830154, -2.4983471434929916e-16, 
5574.8268507566918]
        Function value:   3.2719166190023845
        Iterations:       1
        Function calls:   16
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82838778596830154, -2.4983471434929916e-16, 
5574.8268507566918]
Function value:   3.2719166190023592
Iterations:       30
Function calls:   121
Gradient calls:   39
Hessian calls:    30
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (3.271916619 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,    0.7              ,  
500.000000000000114])fk: 13663.613651402124  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         0.7,         500] fk: 
13663.6136514       

        Parameter values: [0.83460704316366796, 0.065753592508298486, 
4749.155306171383]
        Function value:   5.1329515327788269e-16
        Iterations:       14
        Function calls:   30
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.346070431636680e-01,   6.575359250829849e-02,
         4.749155306171383e+03])fk: 5.1329515327788269e-16
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83461,    0.065754,      4749.2] fk: 
5.13295153278e-16   

        Parameter values: [0.83460704318418555, 0.065753592072188505, 
4749.1553142470138]
        Function value:   6.017212182792834e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.346070431841855e-01,   6.575359207218850e-02,
         4.749155314247014e+03])fk: 6.017212182792834e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83461,    0.065754,      4749.2] fk: 
6.01721218279e-27   

        Parameter values: [0.83460704318418533, 0.065753592072188199, 
4749.1553142470229]
        Function value:   5.4271564515289784e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83460704318418533, 0.065753592072188199, 
4749.1553142470229]
Function value:   5.4271564515289784e-27
Iterations:       16
Function calls:   36
Gradient calls:   19
Hessian calls:    16
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value 
(5.42715645153e-27 < None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 1817.0254623414855  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
1817.02546234       

        Parameter values: [0.80460695988056397, 0.10397786785016483, 
3927.9807591367035]
        Function value:   1.0776083531426451e-14
        Iterations:       16
        Function calls:   37
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.046069598805640e-01,   1.039778678501648e-01,
         3.927980759136703e+03])fk: 1.0776083531426451e-14
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80461,     0.10398,        3928] fk: 
1.07760835314e-14   

        Parameter values: [0.80460695979067887, 0.10397786626191666, 
3927.9807906967126]
        Function value:   3.0019491123818917e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.046069597906789e-01,   1.039778662619167e-01,
         3.927980790696713e+03])fk: 3.0019491123818917e-29
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80461,     0.10398,        3928] fk: 
3.00194911238e-29   

        Parameter values: [0.80460695979067887, 0.10397786626191666, 
3927.9807906967126]
        Function value:   3.0019491123818917e-29
        Iterations:       1
        Function calls:   44
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80460695979067887, 0.10397786626191666, 
3927.9807906967126]
Function value:   3.0019491123818917e-29
Iterations:       18
Function calls:   84
Gradient calls:   21
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value 
(3.00194911238e-29 < None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 5849.2476324833406  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
5849.24763248       

        Parameter values: [0.81371179829622931, 0.094306157598633741, 
4352.4436209419819]
        Function value:   2.84883923525466e-08
        Iterations:       18
        Function calls:   51
        Gradient calls:   19
        Hessian calls:    18
        Warning:          None


k: 1       xk: array([  8.137117982962293e-01,   9.430615759863374e-02,
         4.352443620941982e+03])fk: 2.84883923525466e-08
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81371,    0.094306,      4352.4] fk: 
2.84883923525e-08   

        Parameter values: [0.81371185064850593, 0.094304351208844811, 
4352.4789496828889]
        Function value:   3.2800027840190003e-17
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.137118506485059e-01,   9.430435120884481e-02,
         4.352478949682889e+03])fk: 3.2800027840190003e-17
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81371,    0.094304,      4352.5] fk: 
3.28000278402e-17   

        Parameter values: [0.81371185065031149, 0.094304351147473695, 
4352.4789508815229]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.137118506503115e-01,   9.430435114747369e-02,
         4.352478950881523e+03])fk: 0.0                 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81371,    0.094304,      4352.5] fk: 0.0      
           

        Parameter values: [0.81371185065031149, 0.094304351147473695, 
4352.4789508815229]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81371185065031149, 0.094304351147473695, 
4352.4789508815229]
Function value:   0.0
Iterations:       21
Function calls:   60
Gradient calls:   25
Hessian calls:    21
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 2926.2481073703448  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
2926.24810737       

        Parameter values: [0.83227513638508177, 0.14635802446204477, 
3361.8148589184279]
        Function value:   5.4760521460130101e-08
        Iterations:       20
        Function calls:   52
        Gradient calls:   21
        Hessian calls:    20
        Warning:          None


k: 1       xk: array([  8.322751363850818e-01,   1.463580244620448e-01,
         3.361814858918428e+03])fk: 5.4760521460130101e-08
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83228,     0.14636,      3361.8] fk: 
5.47605214601e-08   

        Parameter values: [0.83227478767300944, 0.1463564922538092, 
3361.8466510070689]
        Function value:   8.2775232541198649e-17
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.322747876730094e-01,   1.463564922538092e-01,
         3.361846651007069e+03])fk: 8.2775232541198649e-17
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83227,     0.14636,      3361.8] fk: 
8.27752325412e-17   

        Parameter values: [0.83227478765949192, 0.14635649219419125, 
3361.846652243119]
        Function value:   8.9007987078851474e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.322747876594919e-01,   1.463564921941913e-01,
         3.361846652243119e+03])fk: 8.9007987078851474e-29
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.83227,     0.14636,      3361.8] fk: 
8.90079870789e-29   

        Parameter values: [0.83227478765949192, 0.14635649219419125, 
3361.846652243119]
        Function value:   8.9007987078851474e-29
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83227478765949192, 0.14635649219419125, 
3361.846652243119]
Function value:   8.9007987078851474e-29
Iterations:       23
Function calls:   103
Gradient calls:   27
Hessian calls:    23
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value 
(8.90079870789e-29 < None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 5870.5143345180768  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
5870.51433452       

        Parameter values: [0.82223085186587253, 0.14932410375092475, 
2430.2485794583131]
        Function value:   2.6076899382637592e-08
        Iterations:       7
        Function calls:   16
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 1       xk: array([  8.222308518658725e-01,   1.493241037509248e-01,
         2.430248579458313e+03])fk: 2.6076899382637592e-08
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82223,     0.14932,      2430.2] fk: 
2.60768993826e-08   

        Parameter values: [0.82223048658776821, 0.1493237388705114, 
2430.2563472534775]
        Function value:   4.3790618881753129e-18
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.222304865877682e-01,   1.493237388705114e-01,
         2.430256347253478e+03])fk: 4.3790618881753129e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82223,     0.14932,      2430.3] fk: 
4.37906188818e-18   

        Parameter values: [0.82223048658303177, 0.14932373886578304, 
2430.2563473541427]
        Function value:   6.357018184795029e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.222304865830318e-01,   1.493237388657830e-01,
         2.430256347354143e+03])fk: 6.357018184795029e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82223,     0.14932,      2430.3] fk: 
6.3570181848e-28    

        Parameter values: [0.82223048658303177, 0.14932373886578301, 
2430.2563473541427]
        Function value:   3.6089315763140763e-28
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82223048658303177, 0.14932373886578301, 
2430.2563473541427]
Function value:   3.6089315763140763e-28
Iterations:       10
Function calls:   27
Gradient calls:   14
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value 
(3.60893157631e-28 < None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 11425.478427106285  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
11425.4784271       

        Parameter values: [0.8266508862143449, 0.10052047461728071, 
3838.0462647903273]
        Function value:   8.0345012601342583e-15
        Iterations:       13
        Function calls:   27
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([  8.266508862143449e-01,   1.005204746172807e-01,
         3.838046264790327e+03])fk: 8.0345012601342583e-15
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82665,     0.10052,        3838] fk: 
8.03450126013e-15   

        Parameter values: [0.8266508861217019, 0.1005204736952959, 
3838.0462831332366]
        Function value:   4.2353159487878636e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.266508861217019e-01,   1.005204736952959e-01,
         3.838046283133237e+03])fk: 4.2353159487878636e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82665,     0.10052,        3838] fk: 
4.23531594879e-28   

        Parameter values: [0.82665088612170179, 0.1005204736952957, 
3838.0462831332393]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82665088612170179, 0.1005204736952957, 
3838.0462831332393]
Function value:   0.0
Iterations:       15
Function calls:   33
Gradient calls:   18
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 11852.961460599812  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
11852.9614606       

        Parameter values: [0.78882914452036546, 0.082244977753184817, 
4424.5631636271301]
        Function value:   8.3702159603268017e-18
        Iterations:       13
        Function calls:   33
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([  7.888291445203655e-01,   8.224497775318482e-02,
         4.424563163627130e+03])fk: 8.3702159603268017e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.78883,    0.082245,      4424.6] fk: 
8.37021596033e-18   

        Parameter values: [0.78882914452099739, 0.082244977712462142, 
4424.5631644454315]
        Function value:   1.3344428140508043e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.888291445209974e-01,   8.224497771246214e-02,
         4.424563164445432e+03])fk: 1.3344428140508043e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.78883,    0.082245,      4424.6] fk: 
1.33444281405e-27   

        Parameter values: [0.78882914452099739, 0.082244977712462142, 
4424.5631644454315]
        Function value:   1.3344428140508043e-27
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.78882914452099739, 0.082244977712462142, 
4424.5631644454315]
Function value:   1.3344428140508043e-27
Iterations:       15
Function calls:   81
Gradient calls:   18
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value 
(1.33444281405e-27 < None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.7              ,   0.6              ,  
50.000000000000007])fk: 7688.9902633496358  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,          50] fk: 
7688.99026335       

        Parameter values: [0.77040793038631095, -0.00083450910836125084, 
6511.0257346690432]
        Function value:   2.2984330780203659
        Iterations:       13
        Function calls:   33
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([  7.704079303863109e-01,  -8.345091083612508e-04,
         6.511025734669043e+03])fk: 2.2636128054234712  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77041, -0.00083451,        6511] fk: 
2.40289389581       

        Parameter values: [0.77034079144301359, -8.9758745886000683e-06, 
6496.0196981330137]
        Function value:   2.3340005094496341
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  7.703407914430136e-01,  -8.975874588600068e-06,
         6.496019698133014e+03])fk: 2.3332434079072017  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -8.9759e-06,        6496] fk: 
2.33402467935       

        Parameter values: [0.77034006869710803, -4.8906209877924522e-08, 
6495.8574767143273]
        Function value:   2.334008653874907
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  7.703400686971080e-01,  -4.890620987792452e-08,
         6.495857476714327e+03])fk: 2.3340044843335823  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -4.8906e-08,      6495.9] fk: 
2.33400865531       

        Parameter values: [0.77034006474856886, -1.3361083677099867e-10, 
6495.8565904184443]
        Function value:   2.334008654355872
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  7.703400647485689e-01,  -1.336108367709987e-10,
         6.495856590418444e+03])fk: 2.3340086429634503  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -1.3361e-10,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.7703400647441927, -7.9551692980785526e-11, 
6495.85658943609]
        Function value:   2.3340086543558285
        Iterations:       5
        Function calls:   34
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 5       xk: array([  7.703400647441927e-01,  -7.955169298078553e-11,
         6.495856589436090e+03])fk: 2.3340086475727886  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -7.9552e-11,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.7703400647441927, -7.955121158992286e-11, 
6495.8565894360818]
        Function value:   2.3340086543558192
        Iterations:       5
        Function calls:   127
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 6       xk: array([  7.703400647441927e-01,  -7.955121158992286e-11,
         6.495856589436082e+03])fk: 2.3340086475728046  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -7.9551e-11,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.7703400647441927, -7.9551115950901891e-11, 
6495.8565894360818]
        Function value:   2.3340086543558414
        Iterations:       8
        Function calls:   210
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 7       xk: array([  7.703400647441927e-01,  -7.955111595090189e-11,
         6.495856589436082e+03])fk: 2.3340086475728046  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034, -7.9551e-11,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473212047, 6.957253041295472e-11, 
6495.8565867262141]
        Function value:   2.3340086543558352
        Iterations:       3
        Function calls:   11
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 8       xk: array([  7.703400647321205e-01,   6.957253041295472e-11,
         6.495856586726214e+03])fk: 2.3340086602880206  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,  6.9573e-11,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775241, 5.955463014464183e-15, 
6495.8565879903808]
        Function value:   2.3340086543558853
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 9       xk: array([  7.703400647377524e-01,   5.955463014464183e-15,
         6.495856587990381e+03])fk: 2.3340086543563929  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,  5.9555e-15,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775241, 5.5600958877213119e-15, 
6495.8565879903872]
        Function value:   2.3340086543558654
        Iterations:       3
        Function calls:   31
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 10      xk: array([  7.703400647377524e-01,   5.560095887721312e-15,
         6.495856587990387e+03])fk: 2.3340086543563396  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,  5.5601e-15,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775252, 4.5140381799311678e-15, 
6495.8565879904063]
        Function value:   2.3340086543558636
        Iterations:       2
        Function calls:   19
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 11      xk: array([  7.703400647377525e-01,   4.514038179931168e-15,
         6.495856587990406e+03])fk: 2.3340086543562486  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,   4.514e-15,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775285, 4.3155697142679582e-16, 
6495.8565879904791]
        Function value:   2.3340086543558609
        Iterations:       2
        Function calls:   17
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 12      xk: array([  7.703400647377528e-01,   4.315569714267958e-16,
         6.495856587990479e+03])fk: 2.3340086543558978  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,  4.3156e-16,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775285, 4.0985968460642485e-16, 
6495.8565879904791]
        Function value:   2.3340086543558547
        Iterations:       2
        Function calls:   22
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 13      xk: array([  7.703400647377528e-01,   4.098596846064248e-16,
         6.495856587990479e+03])fk: 2.3340086543558898  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.77034,  4.0986e-16,      6495.9] fk: 
2.33400865436       

        Parameter values: [0.77034006473775285, 4.0906162797419389e-16, 
6495.8565879904791]
        Function value:   2.3340086543558547
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.77034006473775285, 4.0906162797419389e-16, 
6495.8565879904791]
Function value:   2.3340086543558898
Iterations:       51
Function calls:   537
Gradient calls:   65
Hessian calls:    51
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (2.33400865436 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 9648.7848530706196  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
9648.78485307       

        Parameter values: [0.82071303663269868, -0.0013466573924085287, 
6388.9917909019359]
        Function value:   8.8405287172207476
        Iterations:       12
        Function calls:   31
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.207130366326987e-01,  -1.346657392408529e-03,
         6.388991790901936e+03])fk: 8.7498544105943203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82071,  -0.0013467,        6389] fk: 
9.1125516371        

        Parameter values: [0.82057126555755289, -1.4099333058113309e-05, 
6365.0939512003888]
        Function value:   8.9330945141459868
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.205712655575529e-01,  -1.409933305811331e-05,
         6.365093951200389e+03])fk: 8.9311759379176454  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057, -1.4099e-05,      6365.1] fk: 
8.9331541515        

        Parameter values: [0.82056977798761177, -7.5059628467787761e-08, 
6364.8424031620807]
        Function value:   8.9331146049148966
        Iterations:       3
        Function calls:   8
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 3       xk: array([  8.205697779876118e-01,  -7.505962846778776e-08,
         6.364842403162081e+03])fk: 8.9331042841696124  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057,  -7.506e-08,      6364.8] fk: 
8.9331146083        

        Parameter values: [0.82056977004745801, -2.0035226868894397e-10, 
6364.8410604376404]
        Function value:   8.9331146060476865
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.205697700474580e-01,  -2.003522686889440e-10,
         6.364841060437640e+03])fk: 8.9331145784961024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057, -2.0035e-10,      6364.8] fk: 
8.93311460605       

        Parameter values: [0.82056977004745801, -2.0035226272596264e-10, 
6364.8410604376404]
        Function value:   8.9331146060477344
        Iterations:       1
        Function calls:   28
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.205697700474580e-01,  -2.003522627259626e-10,
         6.364841060437640e+03])fk: 8.9331145784961024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057, -2.0035e-10,      6364.8] fk: 
8.93311460605       

        Parameter values: [0.82056977001560438, 9.9975150734601865e-11, 
6364.8410550507624]
        Function value:   8.9331146060477433
        Iterations:       2
        Function calls:   9
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  8.205697700156044e-01,   9.997515073460187e-11,
         6.364841055050762e+03])fk: 8.933114619795921   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057,  9.9975e-11,      6364.8] fk: 
8.93311460605       

        Parameter values: [0.82056977002620524, 3.3435269176298858e-14, 
6364.8410568433783]
        Function value:   8.9331146060477504
        Iterations:       3
        Function calls:   10
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 7       xk: array([  8.205697700262052e-01,   3.343526917629886e-14,
         6.364841056843378e+03])fk: 8.9331146060523476  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057,  3.3435e-14,      6364.8] fk: 
8.93311460605       

        Parameter values: [0.82056977002620768, 9.3985223027820796e-15, 
6364.8410568438112]
        Function value:   8.9331146060476332
        Iterations:       4
        Function calls:   24
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 8       xk: array([  8.205697700262077e-01,   9.398522302782080e-15,
         6.364841056843811e+03])fk: 8.9331146060489264  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82057,  9.3985e-15,      6364.8] fk: 
8.93311460605       

        Parameter values: [0.82056977002620768, 9.3976620395171376e-15, 
6364.8410568438112]
        Function value:   8.9331146060476332
        Iterations:       1
        Function calls:   17
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82056977002620768, 9.3976620395171376e-15, 
6364.8410568438112]
Function value:   8.9331146060489264
Iterations:       29
Function calls:   135
Gradient calls:   38
Hessian calls:    29
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (8.93311460605 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 9738.3073971152171  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
9738.30739712       

        Parameter values: [0.84821434700588128, 0.046269274766655662, 
5477.6403329747627]
        Function value:   2.0511724613168262e-16
        Iterations:       15
        Function calls:   34
        Gradient calls:   16
        Hessian calls:    15
        Warning:          None


k: 1       xk: array([  8.482143470058813e-01,   4.626927476665566e-02,
         5.477640332974763e+03])fk: 2.0511724613168262e-16
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84821,    0.046269,      5477.6] fk: 
2.05117246132e-16   

        Parameter values: [0.84821434705322796, 0.046269274302277723, 
5477.6403413016524]
        Function value:   9.7648502122023638e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.482143470532280e-01,   4.626927430227772e-02,
         5.477640341301652e+03])fk: 9.7648502122023638e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84821,    0.046269,      5477.6] fk: 
9.7648502122e-28    

        Parameter values: [0.84821434705322796, 0.046269274302277723, 
5477.6403413016524]
        Function value:   9.7648502122023638e-28
        Iterations:       1
        Function calls:   44
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84821434705322796, 0.046269274302277723, 
5477.6403413016524]
Function value:   9.7648502122023638e-28
Iterations:       17
Function calls:   81
Gradient calls:   20
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (9.7648502122e-28 
< None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 19593.038423656464  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
19593.0384237       

        Parameter values: [0.87339109612703114, -0.00014433891151516821, 
5906.2798196347667]
        Function value:   0.054275696403529132
        Iterations:       13
        Function calls:   31
        Gradient calls:   14
        Hessian calls:    13
        Warning:          None


k: 1       xk: array([  8.733910961270311e-01,  -1.443389115151682e-04,
         5.906279819634767e+03])fk: 0.053234010334659951
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87339, -0.00014434,      5906.3] fk: 
0.0574007546101     

        Parameter values: [0.87337766865915512, -1.4843582276249167e-06, 
5903.8504961508306]
        Function value:   0.055338795538970385
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.733776686591551e-01,  -1.484358227624917e-06,
         5.903850496150831e+03])fk: 0.055317150141948192
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87338, -1.4844e-06,      5903.9] fk: 
0.0553394565348     

        Parameter values: [0.87337752993248552, -7.6848624211124697e-09, 
5903.8253835469113]
        Function value:   0.055339018152353515
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.733775299324855e-01,  -7.684862421112470e-09,
         5.903825383546911e+03])fk: 0.055338904936656642
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87338, -7.6849e-09,      5903.8] fk: 
0.0553390181878     

        Parameter values: [0.87337752921315792, -2.0012723110902139e-11, 
5903.8252531872486]
        Function value:   0.05533901816422096
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.733775292131579e-01,  -2.001272311090214e-11,
         5.903825253187249e+03])fk: 0.055339017869356605
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87338, -2.0013e-11,      5903.8] fk: 
0.0553390181642     

        Parameter values: [0.87337752921128031, -2.6004925404150941e-14, 
5903.8252528473522]
        Function value:   0.055339018164221196
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.733775292112803e-01,  -2.600492540415094e-14,
         5.903825252847352e+03])fk: 0.055339018163838044
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87338, -2.6005e-14,      5903.8] fk: 
0.0553390181642     

        Parameter values: [0.87337752921127909, -1.2712063638201296e-14, 
5903.8252528471257]
        Function value:   0.055339018164214736
        Iterations:       9
        Function calls:   110
        Gradient calls:   10
        Hessian calls:    9
        Warning:          None


k: 6       xk: array([  8.733775292112791e-01,  -1.271206363820130e-14,
         5.903825252847126e+03])fk: 0.055339018164027441
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.87338, -1.2712e-14,      5903.8] fk: 
0.0553390181642     

        Parameter values: [0.87337752921127909, -1.2712054550778757e-14, 
5903.8252528471257]
        Function value:   0.055339018164214736
        Iterations:       1
        Function calls:   24
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.87337752921127909, -1.2712054550778757e-14, 
5903.8252528471257]
Function value:   0.055339018164027441
Iterations:       28
Function calls:   179
Gradient calls:   35
Hessian calls:    28
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (0.055339018164 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 22698.23174497778   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
22698.231745        

        Parameter values: [0.84030866403438409, -0.0019610059883591246, 
5747.1010970487723]
        Function value:   5.4747960376702185
        Iterations:       12
        Function calls:   26
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.403086640343841e-01,  -1.961005988359125e-03,
         5.747101097048772e+03])fk: 5.2825188133512011  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84031,   -0.001961,      5747.1] fk: 
6.05162771063       

        Parameter values: [0.84017710952058933, -5.0851994275266196e-05, 
5715.0739288013056]
        Function value:   5.6769832665926634
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.401771095205893e-01,  -5.085199427526620e-05,
         5.715073928801306e+03])fk: 5.6667525675311063  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84018, -5.0852e-05,      5715.1] fk: 
5.67775904419       

        Parameter values: [0.84017370913269607, -6.8106583979304973e-07, 
5714.2329250781722]
        Function value:   5.6772487847013133
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.401737091326961e-01,  -6.810658397930497e-07,
         5.714232925078172e+03])fk: 5.6771082078009103  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -6.8107e-07,      5714.2] fk: 
5.67724906301       

        Parameter values: [0.84017366330342413, -4.5938528210896826e-09, 
5714.2215856070443]
        Function value:   5.6772488787228363
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 4       xk: array([  8.401736633034241e-01,  -4.593852821089683e-09,
         5.714221585607044e+03])fk: 5.6772479298843042  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -4.5939e-09,      5714.2] fk: 
5.67724887875       

        Parameter values: [0.8401736629933223, -1.5549432975633937e-11, 
5714.221508862749]
        Function value:   5.6772488787313344
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.401736629933223e-01,  -1.554943297563394e-11,
         5.714221508862749e+03])fk: 5.677248875519644   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5549e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.5518503149302359e-11, 
5714.2215088622306]
        Function value:   5.6772488787312474
        Iterations:       7
        Function calls:   156
        Gradient calls:   8
        Hessian calls:    7
        Warning:          None


k: 6       xk: array([  8.401736629933203e-01,  -1.551850314930236e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.5518503149217748e-11, 
5714.2215088622306]
        Function value:   5.6772488787312492
        Iterations:       1
        Function calls:   41
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 7       xk: array([  8.401736629933203e-01,  -1.551850314921775e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.5518503149193058e-11, 
5714.2215088622306]
        Function value:   5.6772488787312518
        Iterations:       1
        Function calls:   43
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 8       xk: array([  8.401736629933203e-01,  -1.551850314919306e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.5518503149186444e-11, 
5714.2215088622306]
        Function value:   5.6772488787312563
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 9       xk: array([  8.401736629933203e-01,  -1.551850314918644e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.5518503149183025e-11, 
5714.2215088622306]
        Function value:   5.6772488787312652
        Iterations:       1
        Function calls:   46
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 10      xk: array([  8.401736629933203e-01,  -1.551850314918303e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.551850314918129e-11, 
5714.2215088622306]
        Function value:   5.6772488787312838
        Iterations:       1
        Function calls:   47
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 11      xk: array([  8.401736629933203e-01,  -1.551850314918129e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.8401736629933203, -1.551850314918118e-11, 
5714.2215088622306]
        Function value:   5.6772488787313211
        Iterations:       1
        Function calls:   51
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 12      xk: array([  8.401736629933203e-01,  -1.551850314918118e-11,
         5.714221508862231e+03])fk: 5.6772488755259456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017, -1.5519e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.84017366299122609, 1.5396854384185534e-11, 
5714.221508344006]
        Function value:   5.6772488787312376
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 13      xk: array([  8.401736629912261e-01,   1.539685438418553e-11,
         5.714221508344006e+03])fk: 5.6772488819114617  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017,  1.5397e-11,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.84017366299226925, 1.0210777260141654e-16, 
5714.221508602096]
        Function value:   5.6772488787313762
        Iterations:       2
        Function calls:   9
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 14      xk: array([  8.401736629922693e-01,   1.021077726014165e-16,
         5.714221508602096e+03])fk: 5.6772488787313975  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017,  1.0211e-16,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.84017366299226914, 4.9458118420796561e-17, 
5714.2215086020942]
        Function value:   5.6772488787313327
        Iterations:       2
        Function calls:   11
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 15      xk: array([  8.401736629922691e-01,   4.945811842079656e-17,
         5.714221508602094e+03])fk: 5.6772488787313433  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84017,  4.9458e-17,      5714.2] fk: 
5.67724887873       

        Parameter values: [0.84017366299226914, 4.9453590393787896e-17, 
5714.2215086020942]
        Function value:   5.6772488787313327
        Iterations:       1
        Function calls:   17
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84017366299226914, 4.9453590393787896e-17, 
5714.2215086020942]
Function value:   5.6772488787313433
Iterations:       41
Function calls:   523
Gradient calls:   57
Hessian calls:    41
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (5.67724887873 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   1.               ,    0.9              ,  
500.000000000000114])fk: 10393.752051839701  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,         0.9,         500] fk: 
10393.7520518       

        Parameter values: [0.85621584656451377, 0.040699660887791284, 
4560.2247843491332]
        Function value:   -500.00000000000006
        Iterations:       12
        Function calls:   26
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.562158465645138e-01,   4.069966088779128e-02,
         4.560224784349133e+03])fk: 8.0461123768619282e-19
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85622,      0.0407,      4560.2] fk: 
8.04611237686e-19   

        Parameter values: [0.85621584656469307, 0.040699660875498395, 
4560.2247845540687]
        Function value:   5.7601655560421153e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.562158465646931e-01,   4.069966087549839e-02,
         4.560224784554069e+03])fk: 5.7601655560421153e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85622,      0.0407,      4560.2] fk: 
5.76016555604e-27   

        Parameter values: [0.85621584656469285, 0.040699660875498707, 
4560.2247845540642]
        Function value:   2.9001370834199022e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.85621584656469285, 0.040699660875498707, 
4560.2247845540642]
Function value:   2.9001370834199022e-28
Iterations:       14
Function calls:   32
Gradient calls:   17
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value 
(2.90013708342e-28 < None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  6.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 17986.878426443443  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,         500] fk: 
17986.8784264       

        Parameter values: [0.81730321256798999, 0.080679693297205049, 
4277.9000082587281]
        Function value:   1.5494195956023101e-09
        Iterations:       10
        Function calls:   21
        Gradient calls:   11
        Hessian calls:    10
        Warning:          None


k: 1       xk: array([  8.173032125679900e-01,   8.067969329720505e-02,
         4.277900008258728e+03])fk: 1.5494195956023101e-09
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8173,     0.08068,      4277.9] fk: 
1.5494195956e-09    

        Parameter values: [0.81730321228424618, 0.08067928717719762, 
4277.9078623320038]
        Function value:   1.239911637414733e-19
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.173032122842462e-01,   8.067928717719762e-02,
         4.277907862332004e+03])fk: 1.239911637414733e-19
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8173,    0.080679,      4277.9] fk: 
1.23991163741e-19   

        Parameter values: [0.81730321228424629, 0.080679287173565734, 
4277.9078624022186]
        Function value:   2.1036825869990141e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.173032122842463e-01,   8.067928717356573e-02,
         4.277907862402219e+03])fk: 2.1036825869990141e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8173,    0.080679,      4277.9] fk: 
2.103682587e-27     

        Parameter values: [0.81730321228424618, 0.08067928717356565, 
4277.9078624022204]
        Function value:   1.6407419928917545e-27
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81730321228424618, 0.08067928717356565, 
4277.9078624022204]
Function value:   1.6407419928917545e-27
Iterations:       13
Function calls:   31
Gradient calls:   17
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value 
(1.64074199289e-27 < None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 30638.384769169355  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
30638.3847692       

        Parameter values: [0.84147586058303903, -0.0027208279170772382, 
5956.0108811190612]
        Function value:   11.253755819876659
        Iterations:       14
        Function calls:   36
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.414758605830390e-01,  -2.720827917077238e-03,
         5.956010881119061e+03])fk: 10.883610592159316  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84148,  -0.0027208,        5956] fk: 
12.364191503        

        Parameter values: [0.84122379427744143, -7.6665628568427924e-05, 
5909.9506032740474]
        Function value:   11.644584646794121
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.412237942774414e-01,  -7.666562856842792e-05,
         5.909950603274047e+03])fk: 11.623137486684817  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -7.6666e-05,        5910] fk: 
11.6463479324       

        Parameter values: [0.84121666357297042, -1.1247356885095374e-06, 
5908.6340214270595]
        Function value:   11.645189650185179
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.412166635729704e-01,  -1.124735688509537e-06,
         5.908634021427059e+03])fk: 11.644866130239336  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -1.1247e-06,      5908.6] fk: 
11.6451904092       

        Parameter values: [0.84121655821783947, -8.3174138049840979e-09, 
5908.6145633930682]
        Function value:   11.645189906933016
        Iterations:       3
        Function calls:   25
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 4       xk: array([  8.412165582178395e-01,  -8.317413804984098e-09,
         5.908614563393068e+03])fk: 11.645187512606268  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -8.3174e-09,      5908.6] fk: 
11.645189907        

        Parameter values: [0.841216557436266, -3.0911196210457539e-11, 
5908.6144189638253]
        Function value:   11.645189906961061
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.412165574362660e-01,  -3.091119621045754e-11,
         5.908614418963825e+03])fk: 11.645189898062579  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -3.0911e-11,      5908.6] fk: 
11.645189907        

        Parameter values: [0.84121655743335477, -5.7468944632853533e-14, 
5908.6144184260756]
        Function value:   11.645189906961045
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  8.412165574333548e-01,  -5.746894463285353e-14,
         5.908614418426076e+03])fk: 11.645189906944502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -5.7469e-14,      5908.6] fk: 
11.645189907        

        Parameter values: [0.84121655743335466, -5.6566652524806292e-14, 
5908.6144184260602]
        Function value:   11.645189906960942
        Iterations:       3
        Function calls:   42
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 7       xk: array([  8.412165574333547e-01,  -5.656665252480629e-14,
         5.908614418426060e+03])fk: 11.645189906944658  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84122, -5.6567e-14,      5908.6] fk: 
11.645189907        

        Parameter values: [0.84121655743335466, -5.656600547433115e-14, 
5908.6144184260602]
        Function value:   11.645189906960942
        Iterations:       1
        Function calls:   20
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84121655743335466, -5.656600547433115e-14, 
5908.6144184260602]
Function value:   11.645189906944658
Iterations:       28
Function calls:   144
Gradient calls:   36
Hessian calls:    28
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (11.6451899069 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 11173.417320234024  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
11173.4173202       

        Parameter values: [0.85773820464877915, 0.099928756563427451, 
3632.5749073496117]
        Function value:   1.1541099416058186e-11
        Iterations:       14
        Function calls:   33
        Gradient calls:   15
        Hessian calls:    14
        Warning:          None


k: 1       xk: array([  8.577382046487791e-01,   9.992875656342745e-02,
         3.632574907349612e+03])fk: 1.1541099416058186e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85774,    0.099929,      3632.6] fk: 
1.15410994161e-11   

        Parameter values: [0.85773820052926764, 0.099928729353929449, 
3632.5754288603725]
        Function value:   5.2360546722897312e-24
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.577382005292676e-01,   9.992872935392945e-02,
         3.632575428860373e+03])fk: 5.2360546722897312e-24
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85774,    0.099929,      3632.6] fk: 
5.23605467229e-24   

        Parameter values: [0.85773820052926497, 0.099928729353911158, 
3632.5754288607232]
        Function value:   4.126579620600651e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.577382005292650e-01,   9.992872935391116e-02,
         3.632575428860723e+03])fk: 4.126579620600651e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.85774,    0.099929,      3632.6] fk: 
4.1265796206e-27    

        Parameter values: [0.85773820052926464, 0.099928729353911144, 
3632.5754288607232]
        Function value:   7.2584994265796441e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.85773820052926464, 0.099928729353911144, 
3632.5754288607232]
Function value:   7.2584994265796441e-28
Iterations:       17
Function calls:   42
Gradient calls:   21
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value 
(7.25849942658e-28 < None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 11279.678537074005  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
11279.6785371       

        Parameter values: [0.76450321140299105, 0.13526187014491634, 
2453.8755668064891]
        Function value:   5.6014822879907968e-13
        Iterations:       8
        Function calls:   17
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  7.645032114029910e-01,   1.352618701449163e-01,
         2.453875566806489e+03])fk: 5.6014822879907968e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7645,     0.13526,      2453.9] fk: 
5.60148228799e-13   

        Parameter values: [0.76450320993825405, 0.13526186871185986, 
2453.8756002777413]
        Function value:   4.5587223465560906e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.645032099382540e-01,   1.352618687118599e-01,
         2.453875600277741e+03])fk: 4.5587223465560906e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.7645,     0.13526,      2453.9] fk: 
4.55872234656e-27   

        Parameter values: [0.76450320993825416, 0.13526186871185972, 
2453.8756002777432]
        Function value:   3.6528569010559743e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.76450320993825416, 0.13526186871185972, 
2453.8756002777432]
Function value:   3.6528569010559743e-28
Iterations:       10
Function calls:   23
Gradient calls:   13
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value 
(3.65285690106e-28 < None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 20278.315591578612  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
20278.3155916       

        Parameter values: [0.81443268433198734, -0.0031122720666298237, 
6545.6434696072911]
        Function value:   20.06342083775899
        Iterations:       11
        Function calls:   28
        Gradient calls:   12
        Hessian calls:    11
        Warning:          None


k: 1       xk: array([  8.144326843319873e-01,  -3.112272066629824e-03,
         6.545643469607291e+03])fk: 19.579108966922778  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81443,  -0.0031123,      6545.6] fk: 
21.5163564503       

        Parameter values: [0.81410239583825317, -7.5553437921315218e-05, 
6490.9396398055205]
        Function value:   20.571049941247288
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.141023958382532e-01,  -7.555343792131522e-05,
         6.490939639805521e+03])fk: 20.546964823611081  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8141, -7.5553e-05,      6490.9] fk: 
20.5727624378       

        Parameter values: [0.81409433096132311, -9.5278115276884634e-07, 
6489.5955119326636]
        Function value:   20.571635167633676
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 3       xk: array([  8.140943309613231e-01,  -9.527811527688463e-07,
         6.489595511932664e+03])fk: 20.571324057480219  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -9.5278e-07,      6489.6] fk: 
20.5716357123       

        Parameter values: [0.81409422862796987, -6.0495434168828643e-09, 
6489.5784539868901]
        Function value:   20.571635351497342
        Iterations:       2
        Function calls:   18
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  8.140942286279699e-01,  -6.049543416882864e-09,
         6.489578453986890e+03])fk: 20.571633374981889  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -6.0495e-09,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797634889, -1.9291114995938488e-11, 
6489.5783453345202]
        Function value:   20.571635351512136
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.140942279763489e-01,  -1.929111499593849e-11,
         6.489578345334520e+03])fk: 20.57163534520927   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.9291e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606812, -1.6694285013285543e-11, 
6489.5783452877322]
        Function value:   20.571635351511929
        Iterations:       6
        Function calls:   92
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 6       xk: array([  8.140942279760681e-01,  -1.669428501328554e-11,
         6.489578345287732e+03])fk: 20.571635346057509  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6694e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692731110961603e-11, 
6489.5783452877049]
        Function value:   20.571635351511851
        Iterations:       3
        Function calls:   64
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 7       xk: array([  8.140942279760680e-01,  -1.669273111096160e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692730675848167e-11, 
6489.5783452877049]
        Function value:   20.571635351511855
        Iterations:       1
        Function calls:   29
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 8       xk: array([  8.140942279760680e-01,  -1.669273067584817e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692730559275277e-11, 
6489.5783452877049]
        Function value:   20.571635351511858
        Iterations:       1
        Function calls:   31
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 9       xk: array([  8.140942279760680e-01,  -1.669273055927528e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.669273054421636e-11, 
6489.5783452877049]
        Function value:   20.571635351511869
        Iterations:       1
        Function calls:   34
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 10      xk: array([  8.140942279760680e-01,  -1.669273054421636e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692730536565059e-11, 
6489.5783452877049]
        Function value:   20.57163535151189
        Iterations:       1
        Function calls:   35
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 11      xk: array([  8.140942279760680e-01,  -1.669273053656506e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692730532708943e-11, 
6489.5783452877049]
        Function value:   20.571635351511933
        Iterations:       1
        Function calls:   36
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 12      xk: array([  8.140942279760680e-01,  -1.669273053270894e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797606801, -1.6692730531741106e-11, 
6489.5783452877049]
        Function value:   20.571635351512018
        Iterations:       1
        Function calls:   38
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 13      xk: array([  8.140942279760680e-01,  -1.669273053174111e-11,
         6.489578345287705e+03])fk: 20.571635346057935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -1.6693e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797246633, 1.6627306492123002e-11, 
6489.5783446873511]
        Function value:   20.571635351511841
        Iterations:       3
        Function calls:   10
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 14      xk: array([  8.140942279724663e-01,   1.662730649212300e-11,
         6.489578344687351e+03])fk: 20.571635356944491  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409,  1.6627e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797291564, 1.2470489865947226e-11, 
6489.578344762248]
        Function value:   20.571635351512153
        Iterations:       2
        Function calls:   29
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 15      xk: array([  8.140942279729156e-01,   1.247048986594723e-11,
         6.489578344762248e+03])fk: 20.571635355586434  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409,   1.247e-11,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797493758, -6.2352092656735923e-12, 
6489.5783450992849]
        Function value:   20.571635351511997
        Iterations:       2
        Function calls:   7
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 16      xk: array([  8.140942279749376e-01,  -6.235209265673592e-12,
         6.489578345099285e+03])fk: 20.571635349474867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -6.2352e-12,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797493758, -6.2352077790850181e-12, 
6489.5783450992849]
        Function value:   20.571635351512185
        Iterations:       1
        Function calls:   25
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 17      xk: array([  8.140942279749376e-01,  -6.235207779085018e-12,
         6.489578345099285e+03])fk: 20.571635349474867  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409, -6.2352e-12,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.81409422797392694, 3.1176002415836551e-12, 
6489.5783449307646]
        Function value:   20.571635351512196
        Iterations:       3
        Function calls:   9
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 18      xk: array([  8.140942279739269e-01,   3.117600241583655e-12,
         6.489578344930765e+03])fk: 20.571635352530855  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409,  3.1176e-12,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.8140942279742639, 6.0797350250538853e-19, 
6489.5783449869368]
        Function value:   20.571635351512235
        Iterations:       3
        Function calls:   10
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 19      xk: array([  8.140942279742639e-01,   6.079735025053885e-19,
         6.489578344986937e+03])fk: 20.571635351512235  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81409,  6.0797e-19,      6489.6] fk: 
20.5716353515       

        Parameter values: [0.8140942279742639, 4.5598122203640329e-19, 
6489.5783449869368]
        Function value:   20.571635351512235
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.8140942279742639, 4.5598122203640329e-19, 
6489.5783449869368]
Function value:   20.571635351512235
Iterations:       48
Function calls:   513
Gradient calls:   68
Hessian calls:    48
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (20.5716353515 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  8.000000000000000e-01,   5.000000000000000e-01,
         5.000000000000001e+02])fk: 30088.883586262811  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         0.5,         500] fk: 
30088.8835863       

        Parameter values: [0.84920563415586137, 0.046872590674203386, 
4951.9633528627919]
        Function value:   6.1494704859977597e-14
        Iterations:       16
        Function calls:   33
        Gradient calls:   17
        Hessian calls:    16
        Warning:          None


k: 1       xk: array([  8.492056341558614e-01,   4.687259067420339e-02,
         4.951963352862792e+03])fk: 6.1494704859977597e-14
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84921,    0.046873,        4952] fk: 
6.149470486e-14     

        Parameter values: [0.84920563446631836, 0.046872585663860475, 
4951.9634429055432]
        Function value:   5.7235074213581758e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.492056344663184e-01,   4.687258566386047e-02,
         4.951963442905543e+03])fk: 5.7235074213581758e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.84921,    0.046873,        4952] fk: 
5.72350742136e-27   

        Parameter values: [0.84920563446631847, 0.046872585663859191, 
4951.9634429055641]
        Function value:   5.7139378484565246e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.84920563446631847, 0.046872585663859191, 
4951.9634429055641]
Function value:   5.7139378484565246e-28
Iterations:       18
Function calls:   39
Gradient calls:   21
Hessian calls:    18
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value 
(5.71393784846e-28 < None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.7              ,    0.6              ,  
500.000000000000114])fk: 18593.14968668644   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.7,         0.6,         500] fk: 
18593.1496867       

        Parameter values: [0.81131893620689532, 0.097430562956490996, 
4181.7876292825777]
        Function value:   3.4476747157207639e-10
        Iterations:       12
        Function calls:   27
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.113189362068953e-01,   9.743056295649100e-02,
         4.181787629282578e+03])fk: 3.4476747157207639e-10
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81132,    0.097431,      4181.8] fk: 
3.44767471572e-10   

        Parameter values: [0.81131893186858262, 0.097430390836896225, 
4181.7910441410768]
        Function value:   5.9179184184745536e-21
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.113189318685826e-01,   9.743039083689622e-02,
         4.181791044141077e+03])fk: 5.9179184184745536e-21
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81132,     0.09743,      4181.8] fk: 
5.91791841847e-21   

        Parameter values: [0.8113189318685643, 0.097430390836182823, 
4181.7910441552303]
        Function value:   2.3696036409124657e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.113189318685643e-01,   9.743039083618282e-02,
         4.181791044155230e+03])fk: 2.3696036409124657e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81132,     0.09743,      4181.8] fk: 
2.36960364091e-27   

        Parameter values: [0.81131893186856419, 0.097430390836182976, 
4181.7910441552267]
        Function value:   1.8597731409036579e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81131893186856419, 0.097430390836182976, 
4181.7910441552267]
Function value:   1.8597731409036579e-27
Iterations:       15
Function calls:   36
Gradient calls:   19
Hessian calls:    15
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (1.8597731409e-27 
< None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.6              ,   0.5              ,  
50.000000000000007])fk: 8786.0095524144454  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.6,         0.5,          50] fk: 
8786.00955241       

        Parameter values: [0.80507468045444008, 0.075889587749936649, 
4552.103956413971]
        Function value:   1.2596210675317973e-12
        Iterations:       17
        Function calls:   39
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.050746804544401e-01,   7.588958774993665e-02,
         4.552103956413971e+03])fk: 1.2596210675317973e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80507,     0.07589,      4552.1] fk: 
1.25962106753e-12   

        Parameter values: [0.80507468112350034, 0.07588957357173641, 
4552.1042302617061]
        Function value:   7.3884492350655297e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.050746811235003e-01,   7.588957357173641e-02,
         4.552104230261706e+03])fk: 7.3884492350655297e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80507,     0.07589,      4552.1] fk: 
7.38844923507e-26   

        Parameter values: [0.80507468112350045, 0.075889573571733066, 
4552.1042302617734]
        Function value:   9.5665854906122509e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80507468112350045, 0.075889573571733066, 
4552.1042302617734]
Function value:   9.5665854906122509e-28
Iterations:       19
Function calls:   45
Gradient calls:   22
Hessian calls:    19
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value 
(9.56658549061e-28 < None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  0.5              ,   0.4              ,  
50.000000000000007])fk: 3896.9104085289932  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,          50] fk: 
3896.91040853       

        Parameter values: [0.83539805231553355, 0.050114025825458097, 
5057.2712566125856]
        Function value:   2.217312757920537e-12
        Iterations:       17
        Function calls:   42
        Gradient calls:   18
        Hessian calls:    17
        Warning:          None


k: 1       xk: array([  8.353980523155335e-01,   5.011402582545810e-02,
         5.057271256612586e+03])fk: 2.217312757920537e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8354,    0.050114,      5057.3] fk: 
2.21731275792e-12   

        Parameter values: [0.83539805565983882, 0.050113989822015675, 
5057.2719044122405]
        Function value:   6.5660402997431661e-25
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.353980556598388e-01,   5.011398982201568e-02,
         5.057271904412240e+03])fk: 6.5660402997431661e-25
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8354,    0.050114,      5057.3] fk: 
6.56604029974e-25   

        Parameter values: [0.83539805565984049, 0.050113989821996004, 
5057.2719044125943]
        Function value:   3.1407955301784158e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.353980556598405e-01,   5.011398982199600e-02,
         5.057271904412594e+03])fk: 3.1407955301784158e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.8354,    0.050114,      5057.3] fk: 
3.14079553018e-28   

        Parameter values: [0.83539805565984049, 0.050113989821996094, 
5057.2719044125924]
        Function value:   1.5256187377335294e-28
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.83539805565984049, 0.050113989821996094, 
5057.2719044125924]
Function value:   1.5256187377335294e-28
Iterations:       20
Function calls:   53
Gradient calls:   24
Hessian calls:    20
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value 
(1.52561873773e-28 < None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  1.000000000000000e+00,   4.000000000000000e-01,
         5.000000000000001e+02])fk: 32446.493009778736  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,         0.4,         500] fk: 
32446.4930098       

        Parameter values: [0.82350613147561891, 0.077856853864843048, 
4304.8292824500259]
        Function value:   -500.00000000000006
        Iterations:       15
        Function calls:   32
        Gradient calls:   16
        Hessian calls:    15
        Warning:          None


k: 1       xk: array([  8.235061314756189e-01,   7.785685386484305e-02,
         4.304829282450026e+03])fk: 6.882953959595331e-19
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82351,    0.077857,      4304.8] fk: 
6.8829539596e-19    

        Parameter values: [0.82350613147525209, 0.077856853853104036, 
4304.8292826792022]
        Function value:   6.8108741077757188e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.235061314752521e-01,   7.785685385310404e-02,
         4.304829282679202e+03])fk: 6.8108741077757188e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.82351,    0.077857,      4304.8] fk: 
6.81087410778e-27   

        Parameter values: [0.82350613147525198, 0.077856853853103911, 
4304.829282679204]
        Function value:   0.0
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.82350613147525198, 0.077856853853103911, 
4304.829282679204]
Function value:   0.0
Iterations:       17
Function calls:   39
Gradient calls:   20
Hessian calls:    17
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,    0.8              ,  
500.000000000000114])fk: 9419.2439534462046  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         0.8,         500] fk: 
9419.24395345       

        Parameter values: [0.81774178276705134, 0.072524599377597088, 
4104.2499453526943]
        Function value:   8.798616324721437e-18
        Iterations:       11
        Function calls:   23
        Gradient calls:   12
        Hessian calls:    11
        Warning:          None


k: 1       xk: array([  8.177417827670513e-01,   7.252459937759709e-02,
         4.104249945352694e+03])fk: 8.798616324721437e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81774,    0.072525,      4104.2] fk: 
8.79861632472e-18   

        Parameter values: [0.81774178276569309, 0.072524599346013213, 
4104.2499459407882]
        Function value:   4.0964060402570703e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.177417827656931e-01,   7.252459934601321e-02,
         4.104249945940788e+03])fk: 4.0964060402570703e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81774,    0.072525,      4104.2] fk: 
4.09640604026e-27   

        Parameter values: [0.81774178276569331, 0.072524599346013061, 
4104.2499459407882]
        Function value:   2.9307111429342477e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81774178276569331, 0.072524599346013061, 
4104.2499459407882]
Function value:   2.9307111429342477e-28
Iterations:       13
Function calls:   29
Gradient calls:   16
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value 
(2.93071114293e-28 < None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.8              ,    0.6              ,  
500.000000000000114])fk: 15598.250662806371  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.8,         0.6,         500] fk: 
15598.2506628       

        Parameter values: [0.86594173991602041, 0.12266414896992255, 
4059.579033729191]
        Function value:   2.0501600331286502e-13
        Iterations:       12
        Function calls:   27
        Gradient calls:   13
        Hessian calls:    12
        Warning:          None


k: 1       xk: array([  8.659417399160204e-01,   1.226641489699225e-01,
         4.059579033729191e+03])fk: 2.0501600331286502e-13
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86594,     0.12266,      4059.6] fk: 
2.05016003313e-13   

        Parameter values: [0.86594173958007403, 0.12266414333655426, 
4059.5791428753409]
        Function value:   1.7737559548886005e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.659417395800740e-01,   1.226641433365543e-01,
         4.059579142875341e+03])fk: 1.7737559548886005e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.86594,     0.12266,      4059.6] fk: 
1.77375595489e-26   

        Parameter values: [0.86594173958007425, 0.12266414333655318, 
4059.57914287536]
        Function value:   0.0
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.86594173958007425, 0.12266414333655318, 4059.57914287536]
Function value:   0.0
Iterations:       14
Function calls:   33
Gradient calls:   17
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (0.0 < None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   1.               ,    0.9              ,  
500.000000000000114])fk: 6026.3625449029487  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           1,         0.9,         500] fk: 
6026.3625449        

        Parameter values: [0.80064520754735335, 0.091292696872569315, 
4015.691089792997]
        Function value:   -499.99999999452228
        Iterations:       8
        Function calls:   17
        Gradient calls:   9
        Hessian calls:    8
        Warning:          None


k: 1       xk: array([  8.006452075473534e-01,   9.129269687256931e-02,
         4.015691089792997e+03])fk: 5.4777496912598417e-09
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80065,    0.091293,      4015.7] fk: 
5.47774969126e-09   

        Parameter values: [0.80064515325788665, 0.09129190386972004, 
4015.7062543232773]
        Function value:   1.7640631145439174e-18
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.006451532578867e-01,   9.129190386972004e-02,
         4.015706254323277e+03])fk: 1.7640631145439174e-18
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80065,    0.091292,      4015.7] fk: 
1.76406311454e-18   

        Parameter values: [0.80064515325689634, 0.091291903855467954, 
4015.7062545955287]
        Function value:   1.0906876882341388e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  8.006451532568963e-01,   9.129190385546795e-02,
         4.015706254595529e+03])fk: 1.0906876882341388e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.80065,    0.091292,      4015.7] fk: 
1.09068768823e-27   

        Parameter values: [0.80064515325689622, 0.091291903855467885, 
4015.70625459553]
        Function value:   2.3197920143751644e-28
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.80064515325689622, 0.091291903855467885, 
4015.70625459553]
Function value:   2.3197920143751644e-28
Iterations:       11
Function calls:   27
Gradient calls:   15
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value 
(2.31979201438e-28 < None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([   0.9              ,    0.8              ,  
500.000000000000114])fk: 10387.485775163519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.9,         0.8,         500] fk: 
10387.4857752       

        Parameter values: [0.81207751519823324, 0.11397033936043302, 
2669.0438147568871]
        Function value:   1.5481199657740902e-12
        Iterations:       6
        Function calls:   15
        Gradient calls:   7
        Hessian calls:    6
        Warning:          None


k: 1       xk: array([  8.120775151982332e-01,   1.139703393604330e-01,
         2.669043814756887e+03])fk: 1.5481199657740902e-12
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81208,     0.11397,        2669] fk: 
1.54811996577e-12   

        Parameter values: [0.81207751432177844, 0.11397033661759454, 
2669.0438744521198]
        Function value:   1.3981485115295377e-26
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.120775143217784e-01,   1.139703366175945e-01,
         2.669043874452120e+03])fk: 1.3981485115295377e-26
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.81208,     0.11397,        2669] fk: 
1.39814851153e-26   

        Parameter values: [0.81207751432177822, 0.11397033661759409, 
2669.0438744521261]
        Function value:   4.1732337097355613e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.81207751432177822, 0.11397033661759409, 
2669.0438744521261]
Function value:   4.1732337097355613e-28
Iterations:       8
Function calls:   21
Gradient calls:   11
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value 
(4.17323370974e-28 < None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   4.000000000000000e-01,
         4.000000000000001e+02])fk: 3979.3073096671419  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,         0.4,         400] fk: 
3979.30730967       

        Parameter values: [0.79872632908083152, 0.077078650342239652, 
1456.7834501832813]
        Function value:   4.7146473551023229e-20
        Iterations:       9
        Function calls:   22
        Gradient calls:   10
        Hessian calls:    9
        Warning:          None


k: 1       xk: array([  7.987263290808315e-01,   7.707865034223965e-02,
         1.456783450183281e+03])fk: 4.7146473551023229e-20
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79873,    0.077079,      1456.8] fk: 
4.7146473551e-20    

        Parameter values: [0.79872632908013608, 0.077078650342347163, 
1456.7834501846255]
        Function value:   1.9387335225132262e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.987263290801361e-01,   7.707865034234716e-02,
         1.456783450184626e+03])fk: 1.9387335225132262e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.79873,    0.077079,      1456.8] fk: 
1.93873352251e-27   

        Parameter values: [0.79872632908013597, 0.077078650342347302, 
1456.7834501846253]
        Function value:   9.3317642464111127e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.79872632908013597, 0.077078650342347302, 
1456.7834501846253]
Function value:   9.3317642464111127e-28
Iterations:       11
Function calls:   28
Gradient calls:   14
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value 
(9.33176424641e-28 < None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   3.000000000000000e-01,
         4.000000000000001e+02])fk: 1398.4975491443245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.3,         400] fk: 
1398.49754914       

        Parameter values: [0.73538105524803854, 0.063905508547597412, 
1252.4493722092009]
        Function value:   1.3766920214054734e-10
        Iterations:       10
        Function calls:   21
        Gradient calls:   11
        Hessian calls:    10
        Warning:          None


k: 1       xk: array([  7.353810552480385e-01,   6.390550854759741e-02,
         1.252449372209201e+03])fk: 1.3766920214054734e-10
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.73538,    0.063906,      1252.4] fk: 
1.37669202141e-10   

        Parameter values: [0.73538105032255885, 0.063905516333233561, 
1252.449306686106]
        Function value:   4.2125483248850698e-24
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  7.353810503225588e-01,   6.390551633323356e-02,
         1.252449306686106e+03])fk: 4.2125483248850698e-24
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.73538,    0.063906,      1252.4] fk: 
4.21254832489e-24   

        Parameter values: [0.73538105032255285, 0.063905516333234297, 
1252.4493066861153]
        Function value:   2.4940788172017916e-28
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.353810503225529e-01,   6.390551633323430e-02,
         1.252449306686115e+03])fk: 2.4940788172017916e-28
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.73538,    0.063906,      1252.4] fk: 
2.4940788172e-28    

        Parameter values: [0.73538105032255285, 0.063905516333234297, 
1252.4493066861153]
        Function value:   2.4940788172017916e-28
        Iterations:       1
        Function calls:   45
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.73538105032255285, 0.063905516333234297, 
1252.4493066861153]
Function value:   2.4940788172017916e-28
Iterations:       13
Function calls:   72
Gradient calls:   17
Hessian calls:    13
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (2.4940788172e-28 
< None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  4.000000000000000e-01,   2.000000000000000e-01,
         4.500000000000001e+02])fk: 324.26688174572342  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.4,         0.2,         450] fk: 
324.266881746       

        Parameter values: [0.64687766148012449, 0.05007029468972439, 
809.98733429106278]
        Function value:   1.0086569100714685e-11
        Iterations:       9
        Function calls:   22
        Gradient calls:   10
        Hessian calls:    9
        Warning:          None


k: 1       xk: array([  6.468776614801245e-01,   5.007029468972439e-02,
         8.099873342910628e+02])fk: 1.0086569100714685e-11
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64688,     0.05007,      809.99] fk: 
1.00865691007e-11   

        Parameter values: [0.6468776922647862, 0.050070267247973803, 
809.98735382297116]
        Function value:   9.9928255470505195e-25
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  6.468776922647862e-01,   5.007026724797380e-02,
         8.099873538229712e+02])fk: 9.9928255470505195e-25
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64688,     0.05007,      809.99] fk: 
9.99282554705e-25   

        Parameter values: [0.64687769226479419, 0.050070267247966586, 
809.98735382297536]
        Function value:   9.1323514334701982e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.468776922647942e-01,   5.007026724796659e-02,
         8.099873538229754e+02])fk: 9.1323514334701982e-29
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.64688,     0.05007,      809.99] fk: 
9.13235143347e-29   

        Parameter values: [0.64687769226479419, 0.050070267247966621, 
809.98735382297536]
        Function value:   8.3298863201845545e-29
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.64687769226479419, 0.050070267247966621, 
809.98735382297536]
Function value:   8.3298863201845545e-29
Iterations:       12
Function calls:   31
Gradient calls:   16
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value 
(8.32988632018e-29 < None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([  5.000000000000000e-01,   0.000000000000000e+00,
         5.000000000000001e+02])fk: 319.66809252404329  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [         0.5,           0,         500] fk: 
319.668092524       

        Parameter values: [0.54261360720911611, 0.063616881494930763, 
459.62076523445137]
        Function value:   -343.54872741956979
        Iterations:       5
        Function calls:   11
        Gradient calls:   6
        Hessian calls:    5
        Warning:          None


k: 1       xk: array([  5.426136072091161e-01,   6.361688149493076e-02,
         4.596207652344514e+02])fk: 90.264706972734686  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.54261,    0.063617,      459.62] fk: 
57.1714241689       

        Parameter values: [0.52289966143228217, 0.017061061471227903, 
509.66619807106349]
        Function value:   -32.616197327471113
        Iterations:       4
        Function calls:   9
        Gradient calls:   5
        Hessian calls:    4
        Warning:          None


k: 2       xk: array([  5.228996614322822e-01,   1.706106147122790e-02,
         5.096661980710635e+02])fk: 0.34928295302274065 
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [      0.5229,    0.017061,      509.67] fk: 
0.285381691346      

        Parameter values: [0.52162475685485288, 0.013971326002898946, 
512.80005677015356]
        Function value:   -0.063901261676970758
        Iterations:       3
        Function calls:   7
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 3       xk: array([  5.216247568548529e-01,   1.397132600289895e-02,
         5.128000567701536e+02])fk: 5.4275861741745104e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52162,    0.013971,       512.8] fk: 
5.42758617417e-27   

        Parameter values: [0.52162475685485299, 0.01397132600289896, 
512.80005677015367]
        Function value:   4.6733024843676192e-27
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.216247568548530e-01,   1.397132600289896e-02,
         5.128000567701537e+02])fk: 4.6733024843676192e-27
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.52162,    0.013971,       512.8] fk: 
4.67330248437e-27   

        Parameter values: [0.52162475685485299, 0.013971326002898948, 
512.80005677015367]
        Function value:   4.6317731935618803e-27
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [0.52162475685485299, 0.013971326002898948, 
512.80005677015367]
Function value:   4.6317731935618803e-27
Iterations:       14
Function calls:   34
Gradient calls:   19
Hessian calls:    14
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value 
(4.63177319356e-27 < None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm5\\results.bz2' for writing.

relax> pipe.create(pipe_name='m6', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m6', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm6\\results.bz2' for writing.

relax> pipe.create(pipe_name='m7', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m7', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm7\\results.bz2' for writing.

relax> pipe.create(pipe_name='m8', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m8', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' has been deselected because of 
over-fitting - more parameters than data points.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm8\\results.bz2' for writing.

relax> pipe.create(pipe_name='m9', pipe_type='mf', bundle=None)

relax> structure.read_pdb(file='C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb', 
dir=None, read_mol=None, set_mol_name=None, read_model=None, 
set_model_num=None, parser='internal')

Internal relax PDB parser.
Opening the file 'C:\\Program Files\\relax-2.1.2\\1UBQ_H.pdb' for reading.
Adding molecule '1UBQ_H_mol1' to model None (from the original molecule 
number 1 of model None)

relax> structure.load_spins(spin_id='@N', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    1          MET         1           N            
1UBQ_H_mol1    2          GLN         9           N            
1UBQ_H_mol1    3          ILE         18          N            
1UBQ_H_mol1    4          PHE         26          N            
1UBQ_H_mol1    5          VAL         37          N            
1UBQ_H_mol1    6          LYS         44          N            
1UBQ_H_mol1    7          THR         53          N            
1UBQ_H_mol1    8          LEU         60          N            
1UBQ_H_mol1    9          THR         68          N            
1UBQ_H_mol1    10         GLY         75          N            
1UBQ_H_mol1    11         LYS         79          N            
1UBQ_H_mol1    12         THR         88          N            
1UBQ_H_mol1    13         ILE         95          N            
1UBQ_H_mol1    14         THR         103         N            
1UBQ_H_mol1    15         LEU         110         N            
1UBQ_H_mol1    16         GLU         118         N            
1UBQ_H_mol1    17         VAL         127         N            
1UBQ_H_mol1    18         GLU         134         N            
1UBQ_H_mol1    19         PRO         143         N            
1UBQ_H_mol1    20         SER         150         N            
1UBQ_H_mol1    21         ASP         156         N            
1UBQ_H_mol1    22         THR         164         N            
1UBQ_H_mol1    23         ILE         171         N            
1UBQ_H_mol1    24         GLU         179         N            
1UBQ_H_mol1    25         ASN         188         N            
1UBQ_H_mol1    26         VAL         196         N            
1UBQ_H_mol1    27         LYS         203         N            
1UBQ_H_mol1    28         ALA         212         N            
1UBQ_H_mol1    29         LYS         217         N            
1UBQ_H_mol1    30         ILE         226         N            
1UBQ_H_mol1    31         GLN         234         N            
1UBQ_H_mol1    32         ASP         243         N            
1UBQ_H_mol1    33         LYS         251         N            
1UBQ_H_mol1    34         GLU         260         N            
1UBQ_H_mol1    35         GLY         269         N            
1UBQ_H_mol1    36         ILE         273         N            
1UBQ_H_mol1    37         PRO         281         N            
1UBQ_H_mol1    38         PRO         288         N            
1UBQ_H_mol1    39         ASP         295         N            
1UBQ_H_mol1    40         GLN         303         N            
1UBQ_H_mol1    41         GLN         312         N            
1UBQ_H_mol1    42         ARG         321         N            
1UBQ_H_mol1    43         LEU         332         N            
1UBQ_H_mol1    44         ILE         340         N            
1UBQ_H_mol1    45         PHE         348         N            
1UBQ_H_mol1    46         ALA         359         N            
1UBQ_H_mol1    47         GLY         364         N            
1UBQ_H_mol1    48         LYS         368         N            
1UBQ_H_mol1    49         GLN         377         N            
1UBQ_H_mol1    50         LEU         386         N            
1UBQ_H_mol1    51         GLU         394         N            
1UBQ_H_mol1    52         ASP         403         N            
1UBQ_H_mol1    53         GLY         411         N            
1UBQ_H_mol1    54         ARG         415         N            
1UBQ_H_mol1    55         THR         426         N            
1UBQ_H_mol1    56         LEU         433         N            
1UBQ_H_mol1    57         SER         441         N            
1UBQ_H_mol1    58         ASP         447         N            
1UBQ_H_mol1    59         TYR         455         N            
1UBQ_H_mol1    60         ASN         467         N            
1UBQ_H_mol1    61         ILE         475         N            
1UBQ_H_mol1    62         GLN         483         N            
1UBQ_H_mol1    63         LYS         492         N            
1UBQ_H_mol1    64         GLU         501         N            
1UBQ_H_mol1    65         SER         510         N            
1UBQ_H_mol1    66         THR         516         N            
1UBQ_H_mol1    67         LEU         523         N            
1UBQ_H_mol1    68         HIS         531         N            
1UBQ_H_mol1    69         LEU         541         N            
1UBQ_H_mol1    70         VAL         549         N            
1UBQ_H_mol1    71         LEU         556         N            
1UBQ_H_mol1    72         ARG         564         N            
1UBQ_H_mol1    73         LEU         575         N            
1UBQ_H_mol1    74         ARG         583         N            
1UBQ_H_mol1    75         GLY         594         N            
1UBQ_H_mol1    76         GLY         598         N            

relax> structure.load_spins(spin_id='@H', ave_pos=True)
Adding the following spins to the relax data store.

# mol_name     res_num    res_name    spin_num    spin_name    
1UBQ_H_mol1    2          GLN         0           H            
1UBQ_H_mol1    3          ILE         0           H            
1UBQ_H_mol1    4          PHE         0           H            
1UBQ_H_mol1    5          VAL         0           H            
1UBQ_H_mol1    6          LYS         0           H            
1UBQ_H_mol1    7          THR         0           H            
1UBQ_H_mol1    8          LEU         0           H            
1UBQ_H_mol1    9          THR         0           H            
1UBQ_H_mol1    10         GLY         0           H            
1UBQ_H_mol1    11         LYS         0           H            
1UBQ_H_mol1    12         THR         0           H            
1UBQ_H_mol1    13         ILE         0           H            
1UBQ_H_mol1    14         THR         0           H            
1UBQ_H_mol1    15         LEU         0           H            
1UBQ_H_mol1    16         GLU         0           H            
1UBQ_H_mol1    17         VAL         0           H            
1UBQ_H_mol1    18         GLU         0           H            
1UBQ_H_mol1    20         SER         0           H            
1UBQ_H_mol1    21         ASP         0           H            
1UBQ_H_mol1    22         THR         0           H            
1UBQ_H_mol1    23         ILE         0           H            
1UBQ_H_mol1    24         GLU         0           H            
1UBQ_H_mol1    25         ASN         0           H            
1UBQ_H_mol1    26         VAL         0           H            
1UBQ_H_mol1    27         LYS         0           H            
1UBQ_H_mol1    28         ALA         0           H            
1UBQ_H_mol1    29         LYS         0           H            
1UBQ_H_mol1    30         ILE         0           H            
1UBQ_H_mol1    31         GLN         0           H            
1UBQ_H_mol1    32         ASP         0           H            
1UBQ_H_mol1    33         LYS         0           H            
1UBQ_H_mol1    34         GLU         0           H            
1UBQ_H_mol1    35         GLY         0           H            
1UBQ_H_mol1    36         ILE         0           H            
1UBQ_H_mol1    39         ASP         0           H            
1UBQ_H_mol1    40         GLN         0           H            
1UBQ_H_mol1    41         GLN         0           H            
1UBQ_H_mol1    42         ARG         0           H            
1UBQ_H_mol1    43         LEU         0           H            
1UBQ_H_mol1    44         ILE         0           H            
1UBQ_H_mol1    45         PHE         0           H            
1UBQ_H_mol1    46         ALA         0           H            
1UBQ_H_mol1    47         GLY         0           H            
1UBQ_H_mol1    48         LYS         0           H            
1UBQ_H_mol1    49         GLN         0           H            
1UBQ_H_mol1    50         LEU         0           H            
1UBQ_H_mol1    51         GLU         0           H            
1UBQ_H_mol1    52         ASP         0           H            
1UBQ_H_mol1    53         GLY         0           H            
1UBQ_H_mol1    54         ARG         0           H            
1UBQ_H_mol1    55         THR         0           H            
1UBQ_H_mol1    56         LEU         0           H            
1UBQ_H_mol1    57         SER         0           H            
1UBQ_H_mol1    58         ASP         0           H            
1UBQ_H_mol1    59         TYR         0           H            
1UBQ_H_mol1    60         ASN         0           H            
1UBQ_H_mol1    61         ILE         0           H            
1UBQ_H_mol1    62         GLN         0           H            
1UBQ_H_mol1    63         LYS         0           H            
1UBQ_H_mol1    64         GLU         0           H            
1UBQ_H_mol1    65         SER         0           H            
1UBQ_H_mol1    66         THR         0           H            
1UBQ_H_mol1    67         LEU         0           H            
1UBQ_H_mol1    68         HIS         0           H            
1UBQ_H_mol1    69         LEU         0           H            
1UBQ_H_mol1    70         VAL         0           H            
1UBQ_H_mol1    71         LEU         0           H            
1UBQ_H_mol1    72         ARG         0           H            
1UBQ_H_mol1    73         LEU         0           H            
1UBQ_H_mol1    74         ARG         0           H            
1UBQ_H_mol1    75         GLY         0           H            
1UBQ_H_mol1    76         GLY         0           H            

relax> spin.isotope(isotope='15N', spin_id='@N', force=False)

relax> spin.isotope(isotope='1H', spin_id='@H', force=False)

relax> bruker.read(ri_id='r1_600', file='C:\\Program Files\\relax-2.1.2\\T1 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T1 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R1 relaxation data with the ID 'r1_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         2.193166    0.0120117    
:3@N         2.331642    0.0100021    
:4@N         2.347886    0.0144963    
:5@N         2.248866    0.0178085    
:6@N         2.278953    0.0160188    
:7@N         2.22004     0.017172     
:8@N         2.239517    0.0266531    
:9@N         1.967779    0.0318895    
:10@N        2.087568    0.0232412    
:11@N        1.997302    0.020495     
:12@N        2.164055    0.0294066    
:13@N        2.272432    0.0172483    
:14@N        2.198955    0.0146194    
:15@N        2.279491    0.0223303    
:16@N        2.08655     0.0257266    
:17@N        2.284386    0.0105615    
:18@N        2.1079      0.0168766    
:20@N        2.242728    0.0176452    
:21@N        2.349431    0.0144537    
:22@N        2.274659    0.0162203    
:23@N        2.466636    0.0313472    
:25@N        2.39529     0.0138188    
:26@N        2.132891    0.031588     
:27@N        2.362255    0.0148486    
:28@N        2.384826    0.014329     
:29@N        2.3267      0.014887     
:30@N        2.420068    0.0280076    
:31@N        2.371887    0.0168529    
:32@N        2.342778    0.0229854    
:33@N        2.192978    0.0077526    
:34@N        2.23812     0.0087902    
:35@N        2.24603     0.0095811    
:36@N        1.990657    0.0164038    
:39@N        2.293678    0.0140188    
:40@N        2.254689    0.0082345    
:41@N        2.22433     0.0080233    
:42@N        2.279689    0.0383629    
:43@N        2.172448    0.0193995    
:44@N        2.279211    0.0193237    
:45@N        2.266261    0.0120563    
:46@N        2.171849    0.0357772    
:47@N        2.191289    0.0216538    
:48@N        2.201116    0.0292672    
:49@N        2.113897    0.0185659    
:50@N        2.2443      0.0149041    
:51@N        2.133544    0.0130923    
:52@N        2.045718    0.0155307    
:54@N        2.191798    0.0162384    
:55@N        2.274841    0.0154719    
:56@N        2.369048    0.0128013    
:57@N        2.298024    0.0108868    
:58@N        2.37716     0.0120527    
:59@N        2.225857    0.0120542    
:60@N        2.284584    0.0098544    
:61@N        2.341786    0.0164834    
:62@N        1.973574    0.0116178    
:63@N        2.164873    0.0109975    
:64@N        2.319045    0.0089583    
:65@N        2.189207    0.0102977    
:66@N        2.181262    0.0170342    
:67@N        2.267592    0.027716     
:68@N        2.246237    0.007518     
:69@N        2.248552    0.0138771    
:70@N        2.315301    0.0120178    
:71@N        2.175595    0.0151547    
:72@N        2.163526    0.0123078    
:73@N        1.856539    0.020376     
:74@N        1.612032    0.030413     
:75@N        1.162229    0.0378665    
:76@N        0.763152    0.0070017    

relax> bruker.read(ri_id='r2_600', file='C:\\Program Files\\relax-2.1.2\\T2 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\T2 demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz R2 relaxation data with the ID 'r2_600' has been 
loaded into the relax data store:

# Spin_ID    Value       Error        
:2@N         5.707795    0.0433769    
:3@N         5.784468    0.0525668    
:4@N         5.696191    0.040493     
:5@N         5.287907    0.0405825    
:6@N         5.771655    0.0578901    
:7@N         5.558716    0.0724657    
:8@N         5.116983    0.124882     
:9@N         5.082639    0.191713     
:10@N        4.635013    0.1314738    
:11@N        4.692682    0.12842      
:12@N        5.203808    0.1472191    
:13@N        5.598043    0.0464991    
:14@N        5.432869    0.0384655    
:15@N        5.468351    0.1052964    
:16@N        5.15346     0.0555462    
:17@N        5.815188    0.0533835    
:18@N        5.781641    0.0554953    
:20@N        5.821879    0.0828912    
:21@N        5.893907    0.105634     
:22@N        5.340499    0.0429208    
:23@N        6.930291    0.1188476    
:25@N        7.919704    0.1008506    
:26@N        5.15346     0.0555462    
:27@N        5.9921      0.069752     
:28@N        5.781946    0.0269155    
:29@N        5.563349    0.0577005    
:30@N        5.713259    0.0526098    
:31@N        5.749888    0.0636773    
:32@N        5.886224    0.1083134    
:33@N        5.522062    0.0224198    
:34@N        5.595294    0.0261226    
:35@N        5.763971    0.0584613    
:36@N        5.251803    0.0644619    
:39@N        5.508468    0.0165478    
:40@N        5.617454    0.016743     
:41@N        5.427242    0.0194091    
:42@N        5.375617    0.1053443    
:43@N        5.381802    0.0500029    
:44@N        5.371245    0.0550609    
:45@N        5.623171    0.0768384    
:46@N        5.40999     0.1621058    
:47@N        5.573678    0.0519443    
:48@N        5.675005    0.0941425    
:49@N        5.09691     0.0927995    
:50@N        5.452556    0.0537035    
:51@N        5.351792    0.0654979    
:52@N        5.329825    0.087402     
:54@N        5.643532    0.051848     
:55@N        5.864731    0.071893     
:56@N        5.827847    0.0308474    
:57@N        5.501794    0.0473457    
:58@N        5.435625    0.1408692    
:59@N        5.433845    0.0412798    
:60@N        5.60594     0.0262707    
:61@N        5.502881    0.0507908    
:62@N        4.71568     0.0727852    
:63@N        5.643351    0.0365863    
:64@N        5.639458    0.0371563    
:65@N        5.508601    0.0608821    
:66@N        5.447224    0.0554794    
:67@N        5.630915    0.069886     
:68@N        5.456531    0.0314662    
:69@N        5.275173    0.1092892    
:70@N        5.991591    0.0593871    
:71@N        5.311384    0.1476439    
:72@N        4.837409    0.1037745    
:73@N        3.393935    0.1032138    
:74@N        2.844357    0.1377194    
:75@N        2.00961     0.1567679    
:76@N        1.021642    0.0689117    

relax> bruker.read(ri_id='noe_600', file='C:\\Program Files\\relax-2.1.2\\NOE 
demo.txt', dir=None)
Opening the file 'C:\\Program Files\\relax-2.1.2\\NOE demo.txt' for reading.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:1@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:2@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:3@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:4@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:5@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:6@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:7@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:8@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:9@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:10@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:11@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:12@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:13@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:14@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:15@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:16@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:17@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:18@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:19@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:20@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:21@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:22@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:23@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:24@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:25@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:26@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:27@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:28@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:29@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:30@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:31@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:32@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:33@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:34@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:35@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:36@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:37@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:38@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:39@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:40@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:41@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:42@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:43@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:44@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:45@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:46@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:47@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:48@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:49@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:50@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:51@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:52@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:53@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:54@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:55@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:56@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:57@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:58@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:59@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:60@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:61@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:62@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:63@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:64@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:65@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:66@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:67@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:68@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:69@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:70@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:71@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:72@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:73@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:74@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:75@H' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@N' is 
already set.
RelaxWarning: The nuclear isotope type of the spin '#1UBQ_H_mol1:76@H' is 
already set.
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@N' is already named.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' is already named.

The following 600.13 MHz NOE relaxation data with the ID 'noe_600' has been 
loaded into the relax data store:

# Spin_ID    Value      Error        
:2@N         0.7014     0.0071372    
:3@N         0.7226     0.0071483    
:4@N         0.7841     0.0090542    
:5@N         0.7139     0.0073618    
:6@N         0.7222     0.0071636    
:7@N         0.7345     0.0067083    
:8@N         0.658      0.0067882    
:9@N         0.6132     0.0076052    
:10@N        0.6436     0.0046737    
:11@N        0.5581     0.0047003    
:12@N        0.6435     0.0061779    
:13@N        0.7272     0.0087358    
:14@N        0.7669     0.0064638    
:15@N        0.7816     0.008492     
:16@N        0.7832     0.0067708    
:17@N        0.7118     0.0064496    
:18@N        0.7353     0.0079068    
:20@N        0.7339     0.0059158    
:21@N        0.7664     0.0053657    
:22@N        0.796      0.0088774    
:23@N        0.7698     0.0096563    
:25@N        0.7609     0.007891     
:26@N        0.77       0.0066074    
:27@N        0.7684     0.0091068    
:28@N        0.746      0.0079459    
:29@N        0.7512     0.0088656    
:30@N        0.7258     0.0071831    
:31@N        0.7614     0.0069041    
:32@N        0.7597     0.0070117    
:33@N        0.7627     0.0065712    
:34@N        0.719      0.006359     
:35@N        0.7752     0.0054623    
:36@N        0.7871     0.0061237    
:39@N        0.7527     0.00584      
:40@N        0.7586     0.0072487    
:41@N        0.7371     0.0082612    
:42@N        0.7665     0.010811     
:43@N        0.7806     0.010809     
:44@N        0.7771     0.01006      
:45@N        0.7442     0.009141     
:46@N        0.7191     0.012138     
:47@N        0.7343     0.006318     
:48@N        0.6932     0.0080087    
:49@N        0.6042     0.0067655    
:50@N        0.7146     0.0090647    
:51@N        0.736      0.0085709    
:52@N        0.7836     0.0071379    
:54@N        0.7975     0.0088194    
:55@N        0.7595     0.010037     
:56@N        0.7666     0.0074373    
:57@N        0.7756     0.0059819    
:58@N        0.7373     0.0065193    
:59@N        0.7308     0.006594     
:60@N        0.7842     0.0057097    
:61@N        0.7041     0.0078305    
:62@N        0.6069     0.0062279    
:63@N        0.7971     0.005384     
:64@N        0.7483     0.008555     
:65@N        0.7286     0.0064421    
:66@N        0.7394     0.0066708    
:67@N        0.751      0.0089885    
:68@N        0.7315     0.009567     
:69@N        0.7238     0.0073684    
:70@N        0.7253     0.009216     
:71@N        0.7218     0.0079344    
:72@N        0.6298     0.0059853    
:73@N        0.3004     0.0039353    
:74@N        0.1597     0.0040735    
:75@N        -0.4157    0.0060822    
:76@N        -1.354     0.0067099    

relax> diffusion_tensor.init(params=1e-08, time_scale=1.0, d_scale=1.0, 
angle_units='deg', param_types=0, spheroid_type=None, fixed=True)

relax> dipole_pair.define(spin_id1='@N', spin_id2='@H', direct_bond=True)
Magnetic dipole-dipole interactions are now defined for the following spins:

# Spin_ID_1            Spin_ID_2              
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    

relax> dipole_pair.set_dist(spin_id1='@N', spin_id2='@H', 
ave_dist=1.0200000000000001e-10, unit='meter')
The following averaged distances have been set:

# Spin_ID_1            Spin_ID_2              Ave_distance(meters)      
'#1UBQ_H_mol1:2@N'     '#1UBQ_H_mol1:2@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:3@N'     '#1UBQ_H_mol1:3@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:4@N'     '#1UBQ_H_mol1:4@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:5@N'     '#1UBQ_H_mol1:5@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:6@N'     '#1UBQ_H_mol1:6@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:7@N'     '#1UBQ_H_mol1:7@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:8@N'     '#1UBQ_H_mol1:8@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:9@N'     '#1UBQ_H_mol1:9@H'     1.0200000000000001e-10    
'#1UBQ_H_mol1:10@N'    '#1UBQ_H_mol1:10@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:11@N'    '#1UBQ_H_mol1:11@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:12@N'    '#1UBQ_H_mol1:12@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:13@N'    '#1UBQ_H_mol1:13@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:14@N'    '#1UBQ_H_mol1:14@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:15@N'    '#1UBQ_H_mol1:15@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:16@N'    '#1UBQ_H_mol1:16@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:17@N'    '#1UBQ_H_mol1:17@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:18@N'    '#1UBQ_H_mol1:18@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:20@N'    '#1UBQ_H_mol1:20@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:21@N'    '#1UBQ_H_mol1:21@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:22@N'    '#1UBQ_H_mol1:22@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:23@N'    '#1UBQ_H_mol1:23@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:24@N'    '#1UBQ_H_mol1:24@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:25@N'    '#1UBQ_H_mol1:25@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:26@N'    '#1UBQ_H_mol1:26@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:27@N'    '#1UBQ_H_mol1:27@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:28@N'    '#1UBQ_H_mol1:28@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:29@N'    '#1UBQ_H_mol1:29@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:30@N'    '#1UBQ_H_mol1:30@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:31@N'    '#1UBQ_H_mol1:31@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:32@N'    '#1UBQ_H_mol1:32@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:33@N'    '#1UBQ_H_mol1:33@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:34@N'    '#1UBQ_H_mol1:34@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:35@N'    '#1UBQ_H_mol1:35@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:36@N'    '#1UBQ_H_mol1:36@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:39@N'    '#1UBQ_H_mol1:39@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:40@N'    '#1UBQ_H_mol1:40@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:41@N'    '#1UBQ_H_mol1:41@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:42@N'    '#1UBQ_H_mol1:42@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:43@N'    '#1UBQ_H_mol1:43@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:44@N'    '#1UBQ_H_mol1:44@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:45@N'    '#1UBQ_H_mol1:45@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:46@N'    '#1UBQ_H_mol1:46@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:47@N'    '#1UBQ_H_mol1:47@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:48@N'    '#1UBQ_H_mol1:48@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:49@N'    '#1UBQ_H_mol1:49@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:50@N'    '#1UBQ_H_mol1:50@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:51@N'    '#1UBQ_H_mol1:51@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:52@N'    '#1UBQ_H_mol1:52@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:53@N'    '#1UBQ_H_mol1:53@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:54@N'    '#1UBQ_H_mol1:54@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:55@N'    '#1UBQ_H_mol1:55@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:56@N'    '#1UBQ_H_mol1:56@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:57@N'    '#1UBQ_H_mol1:57@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:58@N'    '#1UBQ_H_mol1:58@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:59@N'    '#1UBQ_H_mol1:59@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:60@N'    '#1UBQ_H_mol1:60@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:61@N'    '#1UBQ_H_mol1:61@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:62@N'    '#1UBQ_H_mol1:62@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:63@N'    '#1UBQ_H_mol1:63@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:64@N'    '#1UBQ_H_mol1:64@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:65@N'    '#1UBQ_H_mol1:65@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:66@N'    '#1UBQ_H_mol1:66@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:67@N'    '#1UBQ_H_mol1:67@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:68@N'    '#1UBQ_H_mol1:68@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:69@N'    '#1UBQ_H_mol1:69@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:70@N'    '#1UBQ_H_mol1:70@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:71@N'    '#1UBQ_H_mol1:71@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:72@N'    '#1UBQ_H_mol1:72@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:73@N'    '#1UBQ_H_mol1:73@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:74@N'    '#1UBQ_H_mol1:74@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:75@N'    '#1UBQ_H_mol1:75@H'    1.0200000000000001e-10    
'#1UBQ_H_mol1:76@N'    '#1UBQ_H_mol1:76@H'    1.0200000000000001e-10    

relax> structure.get_pos(spin_id='@N', ave_pos=True)
# Spin_ID    Position                                                         
         
:1@N         array([ 27.34 ,  24.43 ,   2.614])                               
         
:2@N         array([ 26.335000000000001,  27.77             ,   3.258         
   ])    
:3@N         array([ 26.849            ,  29.655999999999999,   6.217         
   ])    
:4@N         array([ 26.213999999999999,  32.097000000000001,   
8.771000000000001])    
:5@N         array([ 28.260000000000002,  33.942999999999998,  11.096         
   ])    
:6@N         array([ 27.751000000000001,  35.866999999999997,  13.74          
   ])    
:7@N         array([ 29.425999999999998,  38.43             ,  15.446         
   ])    
:8@N         array([ 30.132000000000001,  40.069000000000003,  
18.641999999999999])    
:9@N         array([ 30.991            ,  42.570999999999998,  
17.998000000000001])    
:10@N        array([ 29.721            ,  43.673000000000002,  15.885         
   ])    
:11@N        array([ 30.562999999999999,  42.622999999999998,  
13.494999999999999])    
:12@N        array([ 30.163            ,  40.338000000000001,  
10.885999999999999])    
:13@N        array([ 30.795000000000002,  37.015000000000001,  
10.095000000000001])    
:14@N        array([ 31.244            ,  34.985999999999997,   7.197         
   ])    
:15@N        array([ 30.884            ,  31.484999999999999,   6.666         
   ])    
:16@N        array([ 31.834            ,  28.411999999999999,   5.125         
   ])    
:17@N        array([ 30.309999999999999,  25.457999999999998,   5.384         
   ])    
:18@N        array([ 29.379999999999999,  22.056999999999999,   6.232         
   ])    
:19@N        array([ 26.559000000000001,  20.219999999999999,   7.288         
   ])    
:20@N        array([ 27.361000000000001,  17.959            ,   
8.558999999999999])    
:21@N        array([ 29.599            ,  18.599            ,   
9.827999999999999])    
:22@N        array([ 31.510000000000002,  18.936            ,  12.852         
   ])    
:23@N        array([ 31.113            ,  20.863            ,  
15.859999999999999])    
:24@N        array([ 33.548000000000002,  21.526            ,  
16.949999999999999])    
:25@N        array([ 35.139000000000003,  21.623999999999999,  
14.662000000000001])    
:26@N        array([ 34.006999999999998,  23.745000000000001,  13.25          
   ])    
:27@N        array([ 34.734000000000002,  25.821999999999999,  14.949         
   ])    
:28@N        array([ 37.499000000000002,  25.742999999999999,  14.571         
   ])    
:29@N        array([ 37.633000000000003,  26.542999999999999,  
11.867000000000001])    
:30@N        array([ 36.811            ,  29.170000000000002,  12.192         
   ])    
:31@N        array([ 38.883000000000003,  30.109999999999999,  
13.712999999999999])    
:32@N        array([ 41.000999999999998,  29.878            ,  
11.930999999999999])    
:33@N        array([ 40.116999999999997,  31.75             ,   9.988         
   ])    
:34@N        array([ 39.655000000000001,  34.335000000000001,  11.285         
   ])    
:35@N        array([ 41.317            ,  34.393000000000001,  13.432         
   ])    
:36@N        array([ 40.642000000000003,  33.915999999999997,  
16.111999999999998])    
:37@N        array([ 41.189            ,  32.085000000000001,  
19.030999999999999])    
:38@N        array([ 40.058999999999997,  28.757999999999999,  
19.606999999999999])    
:39@N        array([ 39.374000000000002,  28.09             ,  
22.239999999999998])    
:40@N        array([ 38.418999999999997,  30.373000000000001,  
23.341000000000001])    
:41@N        array([ 36.               ,  30.859999999999999,  
22.172000000000001])    
:42@N        array([ 32.478000000000002,  30.917000000000002,  
22.268999999999998])    
:43@N        array([ 29.693999999999999,  29.436            ,  
21.053999999999998])    
:44@N        array([ 26.436            ,  30.231999999999999,  
20.004000000000001])    
:45@N        array([ 23.140999999999998,  29.187000000000001,  19.241         
   ])    
:46@N        array([ 19.809999999999999,  29.378            ,  
18.577999999999999])    
:47@N        array([ 19.172000000000001,  29.808            ,  
21.242999999999999])    
:48@N        array([ 20.800999999999998,  27.931000000000001,  
22.577999999999999])    
:49@N        array([ 23.879999999999999,  26.727            ,  
23.850999999999999])    
:50@N        array([ 26.465            ,  25.689            ,  
21.832999999999998])    
:51@N        array([ 27.942,  22.448,  21.648])                               
         
:52@N        array([ 31.233000000000001,  21.09             ,  21.459         
   ])    
:53@N        array([ 31.696999999999999,  18.311            ,  
20.405999999999999])    
:54@N        array([ 29.34             ,  17.594000000000001,  
19.076000000000001])    
:55@N        array([ 27.510000000000002,  17.689            ,  
15.954000000000001])    
:56@N        array([ 26.585000000000001,  20.062999999999999,  13.378         
   ])    
:57@N        array([ 24.239999999999998,  19.233000000000001,  12.246         
   ])    
:58@N        array([ 22.997            ,  17.978000000000002,  14.366         
   ])    
:59@N        array([ 21.846            ,  19.954000000000001,  
15.904999999999999])    
:60@N        array([ 19.992999999999999,  20.884            ,  
14.048999999999999])    
:61@N        array([ 20.716999999999999,  22.963999999999999,  12.26          
   ])    
:62@N        array([ 20.291,  24.875,   9.507])                               
         
:63@N        array([ 20.923999999999999,  25.861999999999998,   6.006         
   ])    
:64@N        array([ 22.099,  29.163,   5.605])                               
         
:65@N        array([ 21.673999999999999,  30.033999999999999,   
8.191000000000001])    
:66@N        array([ 22.241            ,  31.873000000000001,  11.241         
   ])    
:67@N        array([ 24.789999999999999,  32.021000000000001,  13.618         
   ])    
:68@N        array([ 25.620999999999999,  32.945            ,  
16.949999999999999])    
:69@N        array([ 28.524999999999999,  34.447000000000003,  18.189         
   ])    
:70@N        array([ 30.123999999999999,  34.533000000000001,  
21.190999999999999])    
:71@N        array([ 32.762999999999998,  35.831000000000003,  23.09          
   ])    
:72@N        array([ 34.93             ,  34.384            ,  
25.451000000000001])    
:73@N        array([ 37.197000000000003,  35.396999999999998,  
27.513000000000002])    
:74@N        array([ 40.293999999999997,  34.411999999999999,  
29.045000000000002])    
:75@N        array([ 41.164999999999999,  35.530999999999999,  31.898         
   ])    
:76@N        array([ 40.945999999999998,  38.472000000000001,  
33.756999999999998])    

relax> structure.get_pos(spin_id='@H', ave_pos=True)
# Spin_ID    Position                                                         
         
:2@H         array([ 25.556000000000001,  27.887            ,   2.643         
   ])    
:3@H         array([ 27.847000000000001,  29.716000000000001,   6.193         
   ])    
:4@H         array([ 25.366            ,  31.806000000000001,   
9.212999999999999])    
:5@H         array([ 28.925000000000001,  34.399000000000001,  10.504         
   ])    
:6@H         array([ 27.065000000000001,  35.280000000000001,  14.17          
   ])    
:7@H         array([ 29.651            ,  39.031999999999996,  14.68          
   ])    
:8@H         array([ 30.852            ,  39.530000000000001,  
19.077999999999999])    
:9@H         array([ 31.408000000000001,  41.787999999999997,  17.538         
   ])    
:10@H        array([ 29.359000000000002,  42.893000000000001,  
16.396000000000001])    
:11@H        array([ 30.931000000000001,  42.305999999999997,  14.369         
   ])    
:12@H        array([ 30.321000000000002,  40.902999999999999,  
10.076000000000001])    
:13@H        array([ 30.472000000000001,  36.526000000000003,  
10.904999999999999])    
:14@H        array([ 31.914999999999999,  35.482999999999997,   6.647         
   ])    
:15@H        array([ 29.914999999999999,  31.334            ,   6.864         
   ])    
:16@H        array([ 32.829000000000001,  28.388000000000002,   5.225         
   ])    
:17@H        array([ 29.407,  25.77 ,   5.087])                               
         
:18@H        array([ 30.093,  21.846,   6.901])                               
         
:20@H        array([ 27.562999999999999,  18.074000000000002,   7.586         
   ])    
:21@H        array([ 29.125            ,  19.271000000000001,   9.259         
   ])    
:22@H        array([ 32.418999999999997,  18.664000000000001,  12.536         
   ])    
:23@H        array([ 30.616            ,  20.225999999999999,  
16.449999999999999])    
:24@H        array([ 33.222999999999999,  20.606999999999999,  
17.172999999999998])    
:25@H        array([ 34.424999999999997,  20.923999999999999,  
14.683999999999999])    
:26@H        array([ 33.338999999999999,  23.146000000000001,  
13.691000000000001])    
:27@H        array([ 34.402999999999999,  25.016999999999999,  15.442         
   ])    
:28@H        array([ 37.061            ,  24.844999999999999,  
14.595000000000001])    
:29@H        array([ 36.854999999999997,  25.943999999999999,  12.057         
   ])    
:30@H        array([ 36.372            ,  28.5              ,  
12.789999999999999])    
:31@H        array([ 38.601999999999997,  29.184999999999999,  13.968         
   ])    
:32@H        array([ 40.465000000000003,  29.039000000000001,  
12.023999999999999])    
:33@H        array([ 39.354999999999997,  31.305            ,  10.458         
   ])    
:34@H        array([ 39.481999999999999,  33.520000000000003,  
11.837999999999999])    
:35@H        array([ 41.134999999999998,  33.545999999999999,  12.932         
   ])    
:36@H        array([ 39.905999999999999,  33.920000000000002,  15.435         
   ])    
:39@H        array([ 40.348999999999997,  28.141999999999999,  22.023         
   ])    
:40@H        array([ 38.895000000000003,  30.385000000000002,  22.462         
   ])    
:41@H        array([ 36.600999999999999,  30.111000000000001,  
21.893999999999998])    
:42@H        array([ 32.417000000000002,  31.881            ,  
22.007999999999999])    
:43@H        array([ 29.888000000000002,  28.492999999999999,  
21.324999999999999])    
:44@H        array([ 26.66             ,  31.024999999999999,  
19.437000000000001])    
:45@H        array([ 23.058            ,  28.513999999999999,  
19.975999999999999])    
:46@H        array([ 19.881            ,  30.163            ,  
17.963000000000001])    
:47@H        array([ 19.655000000000001,  30.535            ,  
20.754999999999999])    
:48@H        array([ 20.893000000000001,  28.033000000000001,  21.587         
   ])    
:49@H        array([ 23.611999999999998,  26.346            ,  
24.736000000000001])    
:50@H        array([ 26.818999999999999,  26.556999999999999,  
21.484999999999999])    
:51@H        array([ 27.207000000000001,  21.908000000000001,  21.238         
   ])    
:52@H        array([ 31.619            ,  21.379999999999999,  
22.335000000000001])    
:53@H        array([ 31.420000000000002,  18.352            ,  21.366         
   ])    
:54@H        array([ 29.364999999999998,  18.425999999999998,  
19.629999999999999])    
:55@H        array([ 26.733000000000001,  17.081            ,  
16.117999999999999])    
:56@H        array([ 27.334            ,  20.004999999999999,  
12.717000000000001])    
:57@H        array([ 25.044            ,  18.733000000000001,  
11.925000000000001])    
:58@H        array([ 23.997            ,  17.984999999999999,  14.34          
   ])    
:59@H        array([ 22.709            ,  20.16             ,  
15.444000000000001])    
:60@H        array([ 20.468            ,  20.027000000000001,  13.85          
   ])    
:61@H        array([ 21.443999999999999,  22.297999999999998,  
12.428000000000001])    
:62@H        array([ 19.741            ,  25.588999999999999,   9.939         
   ])    
:63@H        array([ 20.506            ,  25.143999999999998,   5.449         
   ])    
:64@H        array([ 23.056000000000001,  28.931999999999999,   5.432         
   ])    
:65@H        array([ 22.021999999999998,  29.120000000000001,   7.984         
   ])    
:66@H        array([ 21.366            ,  31.809000000000001,  11.721         
   ])    
:67@H        array([ 25.561            ,  32.128999999999998,  12.991         
   ])    
:68@H        array([ 25.206            ,  32.252000000000002,  
17.539000000000001])    
:69@H        array([ 28.521000000000001,  35.298000000000002,  
17.664999999999999])    
:70@H        array([ 29.952000000000002,  33.57             ,  
21.399000000000001])    
:71@H        array([ 32.558999999999997,  36.808999999999997,  23.128         
   ])    
:72@H        array([ 35.366            ,  33.695            ,  
24.873000000000001])    
:73@H        array([ 36.682000000000002,  36.220999999999997,  
27.748999999999999])    
:74@H        array([ 40.899000000000001,  34.396999999999998,  
28.248999999999999])    
:75@H        array([ 40.203000000000003,  35.409999999999997,  
32.143000000000001])    
:76@H        array([ 41.088000000000001,  37.984999999999999,  34.619         
   ])    

relax> dipole_pair.unit_vectors(ave=True)
Averaging all vectors.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:2@N' and 
'#1UBQ_H_mol1:2@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:3@N' and 
'#1UBQ_H_mol1:3@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:4@N' and 
'#1UBQ_H_mol1:4@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:5@N' and 
'#1UBQ_H_mol1:5@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:6@N' and 
'#1UBQ_H_mol1:6@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:7@N' and 
'#1UBQ_H_mol1:7@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:8@N' and 
'#1UBQ_H_mol1:8@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:9@N' and 
'#1UBQ_H_mol1:9@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:10@N' and 
'#1UBQ_H_mol1:10@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:11@N' and 
'#1UBQ_H_mol1:11@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:12@N' and 
'#1UBQ_H_mol1:12@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:13@N' and 
'#1UBQ_H_mol1:13@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:14@N' and 
'#1UBQ_H_mol1:14@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:15@N' and 
'#1UBQ_H_mol1:15@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:16@N' and 
'#1UBQ_H_mol1:16@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:17@N' and 
'#1UBQ_H_mol1:17@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:18@N' and 
'#1UBQ_H_mol1:18@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:20@N' and 
'#1UBQ_H_mol1:20@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:21@N' and 
'#1UBQ_H_mol1:21@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:22@N' and 
'#1UBQ_H_mol1:22@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:23@N' and 
'#1UBQ_H_mol1:23@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:24@N' and 
'#1UBQ_H_mol1:24@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:25@N' and 
'#1UBQ_H_mol1:25@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:26@N' and 
'#1UBQ_H_mol1:26@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:27@N' and 
'#1UBQ_H_mol1:27@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:28@N' and 
'#1UBQ_H_mol1:28@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:29@N' and 
'#1UBQ_H_mol1:29@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:30@N' and 
'#1UBQ_H_mol1:30@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:31@N' and 
'#1UBQ_H_mol1:31@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:32@N' and 
'#1UBQ_H_mol1:32@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:33@N' and 
'#1UBQ_H_mol1:33@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:34@N' and 
'#1UBQ_H_mol1:34@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:35@N' and 
'#1UBQ_H_mol1:35@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:36@N' and 
'#1UBQ_H_mol1:36@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:39@N' and 
'#1UBQ_H_mol1:39@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:40@N' and 
'#1UBQ_H_mol1:40@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:41@N' and 
'#1UBQ_H_mol1:41@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:42@N' and 
'#1UBQ_H_mol1:42@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:43@N' and 
'#1UBQ_H_mol1:43@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:44@N' and 
'#1UBQ_H_mol1:44@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:45@N' and 
'#1UBQ_H_mol1:45@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:46@N' and 
'#1UBQ_H_mol1:46@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:47@N' and 
'#1UBQ_H_mol1:47@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:48@N' and 
'#1UBQ_H_mol1:48@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:49@N' and 
'#1UBQ_H_mol1:49@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:50@N' and 
'#1UBQ_H_mol1:50@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:51@N' and 
'#1UBQ_H_mol1:51@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:52@N' and 
'#1UBQ_H_mol1:52@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:53@N' and 
'#1UBQ_H_mol1:53@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:54@N' and 
'#1UBQ_H_mol1:54@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:55@N' and 
'#1UBQ_H_mol1:55@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:56@N' and 
'#1UBQ_H_mol1:56@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:57@N' and 
'#1UBQ_H_mol1:57@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:58@N' and 
'#1UBQ_H_mol1:58@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:59@N' and 
'#1UBQ_H_mol1:59@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:60@N' and 
'#1UBQ_H_mol1:60@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:61@N' and 
'#1UBQ_H_mol1:61@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:62@N' and 
'#1UBQ_H_mol1:62@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:63@N' and 
'#1UBQ_H_mol1:63@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:64@N' and 
'#1UBQ_H_mol1:64@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:65@N' and 
'#1UBQ_H_mol1:65@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:66@N' and 
'#1UBQ_H_mol1:66@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:67@N' and 
'#1UBQ_H_mol1:67@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:68@N' and 
'#1UBQ_H_mol1:68@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:69@N' and 
'#1UBQ_H_mol1:69@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:70@N' and 
'#1UBQ_H_mol1:70@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:71@N' and 
'#1UBQ_H_mol1:71@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:72@N' and 
'#1UBQ_H_mol1:72@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:73@N' and 
'#1UBQ_H_mol1:73@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:74@N' and 
'#1UBQ_H_mol1:74@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:75@N' and 
'#1UBQ_H_mol1:75@H'.
Calculated 1 N-H unit vector between the spins '#1UBQ_H_mol1:76@N' and 
'#1UBQ_H_mol1:76@H'.

relax> value.set(val=-0.00017199999999999998, param='csa', spin_id='@N')

relax> model_free.select_model(model='m9', spin_id=None)

relax> grid_search(lower=None, upper=None, inc=11, constraints=True, 
verbosity=1)

Over-fit spin deselection:
RelaxWarning: The spin '#1UBQ_H_mol1:1@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:2@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:3@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:4@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:5@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:6@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:7@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:8@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:9@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:10@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:11@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:12@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:13@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:14@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:15@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:16@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:17@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:18@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:19@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:20@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:21@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:22@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:23@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:24@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:24@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:25@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:26@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:27@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:28@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:29@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:30@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:31@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:32@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:33@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:34@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:35@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:36@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:37@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:38@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:39@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:40@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:41@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:42@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:43@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:44@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:45@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:46@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:47@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:48@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:49@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:50@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:51@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:52@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:53@N' has been deselected because of 
missing relaxation data.
RelaxWarning: The spin '#1UBQ_H_mol1:53@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:54@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:55@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:56@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:57@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:58@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:59@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:60@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:61@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:62@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:63@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:64@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:65@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:66@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:67@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:68@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:69@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:70@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:71@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:72@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:73@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:74@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:75@H' has been deselected because of an 
absence of relaxation mechanisms.
RelaxWarning: The spin '#1UBQ_H_mol1:76@H' has been deselected because of an 
absence of relaxation mechanisms.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 50151.8970808       
Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (50151.8970808 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 39368.8507304       
Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (39368.8507304 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 56601.1034575       
Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (56601.1034575 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 59274.9805621       
Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (59274.9805621 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 28414.0155138       
Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (28414.0155138 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 19305.5948627       
Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (19305.5948627 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 7842.60210321       
Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (7842.60210321 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 3781.50346          
Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (3781.50346 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 8627.42017245       
Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (8627.42017245 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 10580.3222373       
Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (10580.3222373 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 5974.295794         
Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (5974.295794 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 43201.419259        
Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (43201.419259 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 64378.1351041       
Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (64378.1351041 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 9706.92131356       
Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (9706.92131356 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31901.7385104       
Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (31901.7385104 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 36688.1973052       
Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (36688.1973052 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 29236.1209506       
Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (29236.1209506 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 14693.498675        
Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (14693.498675 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 11828.2190024       
Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (11828.2190024 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 53114.7383169       
Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (53114.7383169 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 5759.44183844       
Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (5759.44183844 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 10148.3670477       
Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (10148.3670477 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31761.3352403       
Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (31761.3352403 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 20772.3551267       
Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (20772.3551267 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 121008.481134       
Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (121008.481134 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 30461.8326521       
Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (30461.8326521 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 32400.4209806       
Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (32400.4209806 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 24333.8242869       
Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (24333.8242869 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 8798.89588779       
Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (8798.89588779 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 187644.355656       
Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (187644.355656 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 137816.720218       
Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (137816.720218 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 32646.8484152       
Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (32646.8484152 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 24011.8195926       
Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (24011.8195926 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 330155.066455       
Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (330155.066455 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 321956.630084       
Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (321956.630084 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 251712.346799       
Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (251712.346799 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 8831.5121545        
Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (8831.5121545 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 38269.266056        
Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (38269.266056 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 32403.1713618       
Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (32403.1713618 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 20021.0394765       
Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (20021.0394765 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 4017.78153016       
Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (4017.78153016 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34188.66636         
Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (34188.66636 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 10760.4528135       
Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (10760.4528135 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 13882.3769403       
Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (13882.3769403 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34693.8810857       
Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (34693.8810857 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 24771.7040471       
Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (24771.7040471 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 13907.8737731       
Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (13907.8737731 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34656.1926498       
Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (34656.1926498 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 19247.1541153       
Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (19247.1541153 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 93372.9276299       
Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (93372.9276299 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 46779.8084327       
Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (46779.8084327 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 11364.0394357       
Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 58140.4279745       
Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (58140.4279745 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 134805.767675       
Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (134805.767675 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 38168.4771989       
Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (38168.4771989 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 23523.7453892       
Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (23523.7453892 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 69675.4374584       
Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (69675.4374584 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 73515.1462716       
Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (73515.1462716 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 30221.2801489       
Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (30221.2801489 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31667.0677788       
Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (31667.0677788 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 18861.9203426       
Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (18861.9203426 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 103952.95882        
Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (103952.95882 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 11806.1465463       
Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (11806.1465463 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 28732.6724056       
Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (28732.6724056 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 7082.46739167       
Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (7082.46739167 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 14487.6561193       
Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (14487.6561193 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 31145.5361701       
Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (31145.5361701 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 34838.3527053       
Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (34838.3527053 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 48787.609766        
Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (48787.609766 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Grid search
~~~~~~~~~~~

Searching through 11 grid nodes.
k: 0        xk: [           0] fk: 155028.445788       
Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (155028.445788 < 
None).

relax> minimise(min_algor='newton', line_search=None, hessian_mod=None, 
hessian_type=None, func_tol=1e-25, grad_tol=None, max_iter=10000000, 
constraints=True, scaling=True, verbosity=1)

Over-fit spin deselection:
No spins have been deselected.
Only the model-free parameters for single spins will be used.


Fitting to spin '#1UBQ_H_mol1:2@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 50151.897080832183  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 50151.8970808       

        Parameter values: [0.0016863324011631756]
        Function value:   50151.753383618874
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.001686332401163])                                    
  fk: 50168.474521782147  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   0.0016863] fk: 50152.1799412       

        Parameter values: [8.9150566426456166e-06]
        Function value:   50151.897072842119
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  8.915056642645617e-06])                               
  fk: 50151.984712085832  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.9151e-06] fk: 50151.8970967       

        Parameter values: [2.3627867994750886e-08]
        Function value:   50151.897080832081
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.362786799475089e-08])                               
  fk: 50151.897313084082  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.3628e-08] fk: 50151.8970808       

        Parameter values: [3.1352404997304095e-11]
        Function value:   50151.89708083219
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  3.135240499730409e-11])                               
  fk: 50151.897081140371  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.1352e-11] fk: 50151.8970808       

        Parameter values: [2.0815046455195716e-14]
        Function value:   50151.89708083219
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.0815046455195716e-14]
Function value:   50151.897080832394
Iterations:       7
Function calls:   19
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:2@N', the 
optimised chi-squared value is lower than the current value (50151.8970808 < 
None).


Fitting to spin '#1UBQ_H_mol1:3@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 39368.850730357837  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 39368.8507304       

        Parameter values: [0.033382124900109368]
        Function value:   39312.729138895622
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.033382124900109])                                    
  fk: 39590.832074754391  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.033382] fk: 39479.8835427       

        Parameter values: [0.00012037105442416155]
        Function value:   39368.849276195258
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000120371054424])                                    
  fk: 39369.649713663115  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012037] fk: 39368.853623        

        Parameter values: [2.1741217672070724e-07]
        Function value:   39368.850730348364
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.174121767207072e-07])                               
  fk: 39368.85217345861   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.1741e-07] fk: 39368.8507304       

        Parameter values: [1.9652058545203816e-10]
        Function value:   39368.850730357823
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.965205854520382e-10])                               
  fk: 39368.850731662256  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9652e-10] fk: 39368.8507304       

        Parameter values: [1.9652057374379486e-10]
        Function value:   39368.850730357823
        Iterations:       1
        Function calls:   27
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.9652057374379486e-10]
Function value:   39368.850731662256
Iterations:       7
Function calls:   51
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:3@N', the 
optimised chi-squared value is lower than the current value (39368.8507317 < 
None).


Fitting to spin '#1UBQ_H_mol1:4@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 56601.103457486766  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 56601.1034575       

        Parameter values: [-0.01278115475105325]
        Function value:   56592.835933908071
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.012781154751053])                                    
  fk: 56456.856490559025  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.012781] fk: 56617.3396214       

        Parameter values: [-7.7476426509926269e-05]
        Function value:   56601.102853566241
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ -7.747642650992627e-05])                               
  fk: 56600.2284652218    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -7.7476e-05] fk: 56601.1046543       

        Parameter values: [-2.3553604008695215e-07]
        Function value:   56601.103457475612
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -2.355360400869522e-07])                               
  fk: 56601.10079741216   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.3554e-07] fk: 56601.1034575       

        Parameter values: [-3.5857153801753352e-10]
        Function value:   56601.103457486766
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -3.585715380175335e-10])                               
  fk: 56601.103453437165  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -3.5857e-10] fk: 56601.1034575       

        Parameter values: [-2.7314647521090267e-13]
        Function value:   56601.103457486759
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -2.731464752109027e-13])                               
  fk: 56601.103457483674  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.7315e-13] fk: 56601.1034575       

        Parameter values: [-1.3234291376534631e-13]
        Function value:   56601.10345748673
        Iterations:       3
        Function calls:   26
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 6       xk: array([ -1.323429137653463e-13])                               
  fk: 56601.103457485238  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.3234e-13] fk: 56601.1034575       

        Parameter values: [-1.3233988565838557e-13]
        Function value:   56601.10345748673
        Iterations:       1
        Function calls:   19
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-1.3233988565838557e-13]
Function value:   56601.103457485238
Iterations:       11
Function calls:   64
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:4@N', the 
optimised chi-squared value is lower than the current value (56601.1034575 < 
None).


Fitting to spin '#1UBQ_H_mol1:5@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 59274.980562088771  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 59274.9805621       

        Parameter values: [-0.017188820285500974]
        Function value:   59260.028388208237
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.017188820285501])                                    
  fk: 59073.367408212864  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.017189] fk: 59304.3467196       

        Parameter values: [-0.00010373838209199598]
        Function value:   59274.979479389258
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000103738382092])                                    
  fk: 59273.762705362496  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00010374] fk: 59274.9827079       

        Parameter values: [-3.1398968987765325e-07]
        Function value:   59274.980562069024
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -3.139896898776532e-07])                               
  fk: 59274.976875926615  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -3.1399e-07] fk: 59274.9805621       

        Parameter values: [-4.759036707901043e-10]
        Function value:   59274.980562088764
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -4.759036707901043e-10])                               
  fk: 59274.980556501774  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -4.759e-10] fk: 59274.9805621       

        Parameter values: [-4.7590321727720499e-10]
        Function value:   59274.980562088764
        Iterations:       1
        Function calls:   23
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-4.7590321727720499e-10]
Function value:   59274.980556501774
Iterations:       6
Function calls:   37
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:5@N', the 
optimised chi-squared value is lower than the current value (59274.9805565 < 
None).


Fitting to spin '#1UBQ_H_mol1:6@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 28414.01551377392   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 28414.0155138       

        Parameter values: [0.044925194668674562]
        Function value:   28312.499615562399
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.044925194668675])                                    
  fk: 28660.837906448229  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.044925] fk: 28585.0070519       

        Parameter values: [0.00013365566933229434]
        Function value:   28414.01372205963
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000133655669332])                                    
  fk: 28414.748041672829  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00013366] fk: 28414.0190812       

        Parameter values: [1.9911377972033507e-07]
        Function value:   28414.015513765964
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.991137797203351e-07])                               
  fk: 28414.016605050761  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9911e-07] fk: 28414.0155138       

        Parameter values: [1.4842561808639828e-10]
        Function value:   28414.015513773917
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.484256180863983e-10])                               
  fk: 28414.015514587387  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4843e-10] fk: 28414.0155138       

        Parameter values: [5.5342141534717627e-14]
        Function value:   28414.015513773902
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.534214153471763e-14])                               
  fk: 28414.015513774204  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.5342e-14] fk: 28414.0155138       

        Parameter values: [4.1509175296680535e-14]
        Function value:   28414.015513773902
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [4.1509175296680535e-14]
Function value:   28414.015513774131
Iterations:       9
Function calls:   33
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:6@N', the 
optimised chi-squared value is lower than the current value (28414.0155138 < 
None).


Fitting to spin '#1UBQ_H_mol1:7@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 19305.594862655678  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 19305.5948627       

        Parameter values: [0.063968797994827242]
        Function value:   19100.215266524829
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.063968797994827])                                    
  fk: 19535.302890627951  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.063969] fk: 19502.8467027       

        Parameter values: [0.00012158415109065658]
        Function value:   19305.59338157003
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000121584151091])                                    
  fk: 19306.029985610308  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012158] fk: 19305.5978164       

        Parameter values: [1.1565613403010516e-07]
        Function value:   19305.594862653001
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.156561340301052e-07])                               
  fk: 19305.595276560889  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.1566e-07] fk: 19305.5948627       

        Parameter values: [5.5034748621493601e-11]
        Function value:   19305.594862655682
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  5.503474862149360e-11])                               
  fk: 19305.594862852638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.5035e-11] fk: 19305.5948627       

        Parameter values: [1.3097299933298538e-14]
        Function value:   19305.594862655675
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  1.309729993329854e-14])                               
  fk: 19305.594862655722  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.3097e-14] fk: 19305.5948627       

        Parameter values: [1.1460333245405265e-14]
        Function value:   19305.594862655675
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.1460333245405265e-14]
Function value:   19305.594862655715
Iterations:       9
Function calls:   34
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:7@N', the 
optimised chi-squared value is lower than the current value (19305.5948627 < 
None).


Fitting to spin '#1UBQ_H_mol1:8@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 7842.6021032058434  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 7842.60210321       

        Parameter values: [0.087271303925419957]
        Function value:   7461.2997152172302
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.08727130392542])                                     
  fk: 7953.1987300292785  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.087271] fk: 7949.14823744       

        Parameter values: [5.5923377051498144e-05]
        Function value:   7842.6017902629001
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.592337705149814e-05])                               
  fk: 7842.6726606874854  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.5923e-05] fk: 7842.60272849       

        Parameter values: [1.7923568841192884e-08]
        Function value:   7842.6021032057788
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.792356884119288e-08])                               
  fk: 7842.6021258196106  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.7924e-08] fk: 7842.60210321       

        Parameter values: [2.8727322046699831e-12]
        Function value:   7842.6021032058461
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.872732204669983e-12])                               
  fk: 7842.6021032094704  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.8727e-12] fk: 7842.60210321       

        Parameter values: [2.3034264857151231e-16]
        Function value:   7842.6021032058434
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  2.303426485715123e-16])                               
  fk: 7842.6021032058434  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.3034e-16] fk: 7842.60210321       

        Parameter values: [-6.0749923703254731e-21]
        Function value:   7842.6021032058434
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-6.0749923703254731e-21]
Function value:   7842.6021032058434
Iterations:       10
Function calls:   43
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:8@N', the 
optimised chi-squared value is lower than the current value (7842.60210321 < 
None).


Fitting to spin '#1UBQ_H_mol1:9@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 3781.5034600036065  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 3781.50346          

        Parameter values: [0.094576257894786714]
        Function value:   3334.0266654497827
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.094576257894787])                                    
  fk: 3832.5558165285897  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.094576] fk: 3831.82039207       

        Parameter values: [2.5725323981237985e-05]
        Function value:   3781.5033938063712
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  2.572532398123798e-05])                               
  fk: 3781.5172803794267  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.5725e-05] fk: 3781.50359234       

        Parameter values: [3.4991990942012912e-09]
        Function value:   3781.5034600036042
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.499199094201291e-09])                               
  fk: 3781.5034618834738  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.4992e-09] fk: 3781.50346          

        Parameter values: [2.3799956644794383e-13]
        Function value:   3781.503460003607
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  2.379995664479438e-13])                               
  fk: 3781.5034600037347  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    2.38e-13] fk: 3781.50346          

        Parameter values: [8.1027029401624745e-18]
        Function value:   3781.5034600036065
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.102702940162475e-18])                               
  fk: 3781.5034600036065  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.1027e-18] fk: 3781.50346          

        Parameter values: [2.6534939189065985e-21]
        Function value:   3781.5034600036065
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.6534939189065985e-21]
Function value:   3781.5034600036065
Iterations:       10
Function calls:   42
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:9@N', the 
optimised chi-squared value is lower than the current value (3781.50346 < 
None).


Fitting to spin '#1UBQ_H_mol1:10@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 8627.4201724469203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 8627.42017245       

        Parameter values: [0.087957226561828722]
        Function value:   8240.1489134588301
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.087957226561829])                                    
  fk: 8732.8974938546744  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.087957] fk: 8729.27178405       

        Parameter values: [5.0855967220246427e-05]
        Function value:   8627.4199136643565
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.085596722024643e-05])                               
  fk: 8627.4808997205364  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.0856e-05] fk: 8627.42068956       

        Parameter values: [1.4706451156989769e-08]
        Function value:   8627.4201724468767
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.470645115698977e-08])                               
  fk: 8627.420190007897   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4706e-08] fk: 8627.42017245       

        Parameter values: [2.1267018962436199e-12]
        Function value:   8627.4201724469222
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  2.126701896243620e-12])                               
  fk: 8627.4201724494615  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.1267e-12] fk: 8627.42017245       

        Parameter values: [1.539484123217275e-16]
        Function value:   8627.4201724469203
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.539484123217275e-16])                               
  fk: 8627.4201724469203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5395e-16] fk: 8627.42017245       

        Parameter values: [-2.0631340880827155e-20]
        Function value:   8627.4201724469203
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-2.0631340880827155e-20]
Function value:   8627.4201724469203
Iterations:       11
Function calls:   45
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:10@N', the 
optimised chi-squared value is lower than the current value (8627.42017245 < 
None).


Fitting to spin '#1UBQ_H_mol1:11@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 10580.322237325872  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 10580.3222373       

        Parameter values: [0.087448221807968282]
        Function value:   10197.498962949659
        Iterations:       3
        Function calls:   8
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([ 0.087448221807968])                                    
  fk: 10689.621606160563  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.087448] fk: 10685.6829278       

        Parameter values: [5.2993473936388709e-05]
        Function value:   10580.321956324757
        Iterations:       3
        Function calls:   24
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  5.299347393638871e-05])                               
  fk: 10580.388191726977  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.2993e-05] fk: 10580.3227988       

        Parameter values: [1.6061844338292907e-08]
        Function value:   10580.32223732582
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.606184433829291e-08])                               
  fk: 10580.322257316006  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6062e-08] fk: 10580.3222373       

        Parameter values: [2.4344691021451412e-12]
        Function value:   10580.32223732587
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  2.434469102145141e-12])                               
  fk: 10580.322237328901  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.4345e-12] fk: 10580.3222373       

        Parameter values: [1.2173268298126917e-12]
        Function value:   10580.32223732587
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.2173268298126917e-12]
Function value:   10580.322237327386
Iterations:       10
Function calls:   44
Gradient calls:   15
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:11@N', the 
optimised chi-squared value is lower than the current value (10580.3222373 < 
None).


Fitting to spin '#1UBQ_H_mol1:12@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 5974.2957939991638  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 5974.295794         

        Parameter values: [0.090917603744947312]
        Function value:   5560.613871918109
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.090917603744947])                                    
  fk: 6056.4893758314192  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.090918] fk: 6054.42712779       

        Parameter values: [4.1929465808858077e-05]
        Function value:   5974.295618110038
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.192946580885808e-05])                               
  fk: 5974.3335243043512  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.1929e-05] fk: 5974.29614553       

        Parameter values: [9.6707651788872462e-09]
        Function value:   5974.2957939991447
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.670765178887246e-09])                               
  fk: 5974.2958027014001  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.6708e-09] fk: 5974.295794         

        Parameter values: [1.1153788679191536e-12]
        Function value:   5974.2957939991629
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.115378867919154e-12])                               
  fk: 5974.295794000167   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.1154e-12] fk: 5974.295794         

        Parameter values: [9.7596455042750315e-13]
        Function value:   5974.2957939991629
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [9.7596455042750315e-13]
Function value:   5974.2957940000415
Iterations:       8
Function calls:   40
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:12@N', the 
optimised chi-squared value is lower than the current value (5974.295794 < 
None).


Fitting to spin '#1UBQ_H_mol1:13@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 43201.419258976217  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 43201.419259        

        Parameter values: [0.013322861453427997]
        Function value:   43192.462234148239
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.013322861453428])                                    
  fk: 43316.815916817155  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.013323] fk: 43219.0870297       

        Parameter values: [6.1334445012157027e-05]
        Function value:   43201.418881044941
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  6.133444501215703e-05])                               
  fk: 43201.950134272331  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.1334e-05] fk: 43201.4200096       

        Parameter values: [1.4150839505718351e-07]
        Function value:   43201.419258972201
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.415083950571835e-07])                               
  fk: 43201.420483786605  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4151e-07] fk: 43201.419259        

        Parameter values: [1.6342980169920115e-10]
        Function value:   43201.419258976239
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.634298016992011e-10])                               
  fk: 43201.419260390787  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6343e-10] fk: 43201.419259        

        Parameter values: [9.4427894329996819e-14]
        Function value:   43201.419258976239
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [9.4427894329996819e-14]
Function value:   43201.419258977054
Iterations:       6
Function calls:   17
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:13@N', the 
optimised chi-squared value is lower than the current value (43201.419259 < 
None).


Fitting to spin '#1UBQ_H_mol1:14@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 64378.135104137735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 64378.1351041       

        Parameter values: [-0.028332950255302441]
        Function value:   64337.454749297154
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.028332950255302])                                    
  fk: 64013.987443235659  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.028333] fk: 64457.8681598       

        Parameter values: [-0.00019020576832578726]
        Function value:   64378.131461862868
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000190205768326])                                    
  fk: 64375.686877298955  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00019021] fk: 64378.1423153       

        Parameter values: [-6.4059830463472503e-07]
        Function value:   64378.135104055378
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -6.405983046347250e-07])                               
  fk: 64378.126858617172  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -6.406e-07] fk: 64378.1351043       

        Parameter values: [-1.0805623743531391e-09]
        Function value:   64378.13510413772
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -1.080562374353139e-09])                               
  fk: 64378.13509022916   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.0806e-09] fk: 64378.1351041       

        Parameter values: [-9.4560609214499943e-10]
        Function value:   64378.13510413772
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-9.4560609214499943e-10]
Function value:   64378.135091966265
Iterations:       7
Function calls:   22
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:14@N', the 
optimised chi-squared value is lower than the current value (64378.135092 < 
None).


Fitting to spin '#1UBQ_H_mol1:15@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 9706.9213135565624  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 9706.92131356       

        Parameter values: [0.082737729157171758]
        Function value:   9364.0273030285371
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.082737729157172])                                    
  fk: 9849.1280032959803  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.082738] fk: 9841.67835343       

        Parameter values: [7.4556416130877948e-05]
        Function value:   9706.9207571892912
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  7.455641613087795e-05])                               
  fk: 9707.048902628203   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.4556e-05] fk: 9706.92242479       

        Parameter values: [3.3607187884191338e-08]
        Function value:   9706.921313556335
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.360718788419134e-08])                               
  fk: 9706.9213710686217  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.3607e-08] fk: 9706.92131356       

        Parameter values: [7.5761264712235347e-12]
        Function value:   9706.9213135565624
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  7.576126471223535e-12])                               
  fk: 9706.9213135695281  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.5761e-12] fk: 9706.92131356       

        Parameter values: [8.5426632185555896e-16]
        Function value:   9706.9213135565606
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  8.542663218555590e-16])                               
  fk: 9706.9213135565624  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.5427e-16] fk: 9706.92131356       

        Parameter values: [6.4070697753152995e-16]
        Function value:   9706.9213135565606
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.4070697753152995e-16]
Function value:   9706.9213135565624
Iterations:       9
Function calls:   33
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:15@N', the 
optimised chi-squared value is lower than the current value (9706.92131356 < 
None).


Fitting to spin '#1UBQ_H_mol1:16@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 31901.738510402007  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 31901.7385104       

        Parameter values: [0.036228233111844858]
        Function value:   31835.688878323639
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.036228233111845])                                    
  fk: 32132.346965721779  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.036228] fk: 32030.6760094       

        Parameter values: [0.00011703968235746934]
        Function value:   31901.73713613355
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000117039682357])                                    
  fk: 31902.48214903882   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011704] fk: 31901.7412456       

        Parameter values: [1.8936129163927326e-07]
        Function value:   31901.738510394815
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.893612916392733e-07])                               
  fk: 31901.739713545503  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.8936e-07] fk: 31901.7385104       

        Parameter values: [1.5331009719065775e-10]
        Function value:   31901.73851040201
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.533100971906577e-10])                               
  fk: 31901.738511376097  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5331e-10] fk: 31901.7385104       

        Parameter values: [6.2086482041699067e-14]
        Function value:   31901.738510402
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  6.208648204169907e-14])                               
  fk: 31901.738510402392  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.2086e-14] fk: 31901.7385104       

        Parameter values: [3.0807108670107041e-14]
        Function value:   31901.738510401992
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  3.080710867010704e-14])                               
  fk: 31901.738510402189  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.0807e-14] fk: 31901.7385104       

        Parameter values: [1.9256416882199672e-14]
        Function value:   31901.738510401992
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.9256416882199672e-14]
Function value:   31901.738510402116
Iterations:       11
Function calls:   48
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:16@N', the 
optimised chi-squared value is lower than the current value (31901.7385104 < 
None).


Fitting to spin '#1UBQ_H_mol1:17@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 36688.197305194226  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 36688.1973052       

        Parameter values: [0.03560486621900899]
        Function value:   36624.36713945504
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.035604866219009])                                    
  fk: 36917.030476721455  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.035605] fk: 36813.3621454       

        Parameter values: [0.00012450132953265714]
        Function value:   36688.195749696926
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000124501329533])                                    
  fk: 36688.995927615935  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   0.0001245] fk: 36688.2003999       

        Parameter values: [2.1805627995974083e-07]
        Function value:   36688.197305184694
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.180562799597408e-07])                               
  fk: 36688.198703921858  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.1806e-07] fk: 36688.1973052       

        Parameter values: [1.9112332937996002e-10]
        Function value:   36688.197305194219
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.911233293799600e-10])                               
  fk: 36688.197306420181  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9112e-10] fk: 36688.1973052       

        Parameter values: [8.3794517804711143e-14]
        Function value:   36688.197305194211
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  8.379451780471114e-14])                               
  fk: 36688.19730519475   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.3795e-14] fk: 36688.1973052       

        Parameter values: [7.3322490833916074e-14]
        Function value:   36688.197305194211
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [7.3322490833916074e-14]
Function value:   36688.197305194684
Iterations:       10
Function calls:   37
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:17@N', the 
optimised chi-squared value is lower than the current value (36688.1973052 < 
None).


Fitting to spin '#1UBQ_H_mol1:18@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 29236.120950577286  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 29236.1209506       

        Parameter values: [0.04016508819007919]
        Function value:   29154.935411533326
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.040165088190079])                                    
  fk: 29475.924577968275  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.040165] fk: 29386.4191612       

        Parameter values: [0.0001299955335972991]
        Function value:   29236.119255206297
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000129995533597])                                    
  fk: 29236.895392451268  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.00013] fk: 29236.1243249       

        Parameter values: [2.1070823752673048e-07]
        Function value:   29236.120950568402
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.107082375267305e-07])                               
  fk: 29236.122205852178  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.1071e-07] fk: 29236.1209506       

        Parameter values: [1.7090576653858948e-10]
        Function value:   29236.120950577293
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.709057665385895e-10])                               
  fk: 29236.120951595447  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.7091e-10] fk: 29236.1209506       

        Parameter values: [6.9339139299741138e-14]
        Function value:   29236.120950577293
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.9339139299741138e-14]
Function value:   29236.120950577708
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:18@N', the 
optimised chi-squared value is lower than the current value (29236.1209506 < 
None).


Fitting to spin '#1UBQ_H_mol1:20@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 14693.498674951747  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 14693.498675        

        Parameter values: [0.073201491378529202]
        Function value:   14424.795886530035
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.073201491378529])                                    
  fk: 14888.887883313282  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.073201] fk: 14870.9338817       

        Parameter values: [0.00010638281101004181]
        Function value:   14693.497541574372
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.00010638281101])                                     
  fk: 14693.781499911925  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00010638] fk: 14693.5009368       

        Parameter values: [7.7358615871827088e-08]
        Function value:   14693.498674950542
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.735861587182709e-08])                               
  fk: 14693.498880612973  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.7359e-08] fk: 14693.498675        

        Parameter values: [2.813674426991317e-11]
        Function value:   14693.49867495175
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.813674426991317e-11])                               
  fk: 14693.498675026553  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.8137e-11] fk: 14693.498675        

        Parameter values: [5.1178484826755547e-15]
        Function value:   14693.498674951743
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  5.117848482675555e-15])                               
  fk: 14693.498674951756  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.1178e-15] fk: 14693.498675        

        Parameter values: [2.3992306423590901e-15]
        Function value:   14693.498674951739
        Iterations:       2
        Function calls:   10
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  2.399230642359090e-15])                               
  fk: 14693.498674951747  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.3992e-15] fk: 14693.498675        

        Parameter values: [2.3957165299790266e-15]
        Function value:   14693.498674951739
        Iterations:       1
        Function calls:   13
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.3957165299790266e-15]
Function value:   14693.498674951747
Iterations:       10
Function calls:   49
Gradient calls:   17
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:20@N', the 
optimised chi-squared value is lower than the current value (14693.498675 < 
None).


Fitting to spin '#1UBQ_H_mol1:21@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 11828.219002439513  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 11828.2190024       

        Parameter values: [0.083609074286416826]
        Function value:   11478.068668585245
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.083609074286417])                                    
  fk: 11964.635546297835  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.083609] fk: 11957.9189852       

        Parameter values: [7.4861225946777632e-05]
        Function value:   11828.218441516967
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  7.486122594677763e-05])                               
  fk: 11828.340585575985  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.4861e-05] fk: 11828.2201228       

        Parameter values: [3.3529334254317066e-08]
        Function value:   11828.219002439286
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.352933425431707e-08])                               
  fk: 11828.219056894734  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.3529e-08] fk: 11828.2190024       

        Parameter values: [7.5103499402441335e-12]
        Function value:   11828.219002439513
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  7.510349940244133e-12])                               
  fk: 11828.219002451711  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.5103e-12] fk: 11828.2190024       

        Parameter values: [8.4128028947766767e-16]
        Function value:   11828.219002439511
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.412802894776677e-16])                               
  fk: 11828.219002439513  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.4128e-16] fk: 11828.2190024       

        Parameter values: [6.3097141928219694e-16]
        Function value:   11828.219002439511
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.3097141928219694e-16]
Function value:   11828.219002439513
Iterations:       10
Function calls:   44
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:21@N', the 
optimised chi-squared value is lower than the current value (11828.2190024 < 
None).


Fitting to spin '#1UBQ_H_mol1:22@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 53114.738316871983  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 53114.7383169       

        Parameter values: [-0.0043364433950094788]
        Function value:   53113.78787201563
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.004336443395009])                                    
  fk: 53069.483200999624  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0043364] fk: 53116.6085832       

        Parameter values: [-2.3412455086749967e-05]
        Function value:   53114.73826176014
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ -2.341245508674997e-05])                               
  fk: 53114.493929716344  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.3412e-05] fk: 53114.7384262       

        Parameter values: [-6.3372990307062742e-08]
        Function value:   53114.738316871175
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -6.337299030706274e-08])                               
  fk: 53114.737655362391  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -6.3373e-08] fk: 53114.7383169       

        Parameter values: [-8.5885456926863865e-11]
        Function value:   53114.738316872012
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -8.588545692686386e-11])                               
  fk: 53114.738315975512  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -8.5885e-11] fk: 53114.7383169       

        Parameter values: [-5.8236876275746942e-14]
        Function value:   53114.738316872004
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -5.823687627574694e-14])                               
  fk: 53114.738316871393  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -5.8237e-14] fk: 53114.7383169       

        Parameter values: [-1.9976418167770199e-17]
        Function value:   53114.738316871983
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 6       xk: array([ -1.997641816777020e-17])                               
  fk: 53114.738316871983  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.9976e-17] fk: 53114.7383169       

        Parameter values: [-8.4595907537717246e-20]
        Function value:   53114.738316871983
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-8.4595907537717246e-20]
Function value:   53114.738316871983
Iterations:       8
Function calls:   23
Gradient calls:   15
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:22@N', the 
optimised chi-squared value is lower than the current value (53114.7383169 < 
None).


Fitting to spin '#1UBQ_H_mol1:23@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 5759.4418384437258  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 5759.44183844       

        Parameter values: [0.088511713002035627]
        Function value:   5367.1710194184325
        Iterations:       3
        Function calls:   7
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([ 0.088511713002036])                                    
  fk: 5860.5719825110518  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.088512] fk: 5857.27246406       

        Parameter values: [6.2619926292822696e-05]
        Function value:   5759.4414460405915
        Iterations:       3
        Function calls:   22
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  6.261992629282270e-05])                               
  fk: 5759.5129934835795  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   6.262e-05] fk: 5759.44262242       

        Parameter values: [2.2158890749116923e-08]
        Function value:   5759.4418384436285
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.215889074911692e-08])                               
  fk: 5759.441863622782   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.2159e-08] fk: 5759.44183844       

        Parameter values: [3.9213024485217427e-12]
        Function value:   5759.441838443724
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  3.921302448521743e-12])                               
  fk: 5759.4418384481796  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.9213e-12] fk: 5759.44183844       

        Parameter values: [3.8906699838994129e-12]
        Function value:   5759.441838443724
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [3.8906699838994129e-12]
Function value:   5759.4418384481451
Iterations:       9
Function calls:   45
Gradient calls:   14
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:23@N', the 
optimised chi-squared value is lower than the current value (5759.44183845 < 
None).


Fitting to spin '#1UBQ_H_mol1:25@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 10148.36704768798   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 10148.3670477       

        Parameter values: [0.085996182700494708]
        Function value:   9777.8727636303975
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.085996182700495])                                    
  fk: 10268.067418682502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.085996] fk: 10263.1647462       

        Parameter values: [8.4468622397065179e-05]
        Function value:   10148.366333491653
        Iterations:       2
        Function calls:   11
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.446862239706518e-05])                               
  fk: 10148.483908312395  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.4469e-05] fk: 10148.368474        

        Parameter values: [4.1504481780672148e-08]
        Function value:   10148.367047687632
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  4.150448178067215e-08])                               
  fk: 10148.367105108242  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.1504e-08] fk: 10148.3670477       

        Parameter values: [1.0199321677317241e-11]
        Function value:   10148.367047687982
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.019932167731724e-11])                               
  fk: 10148.367047702091  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.0199e-11] fk: 10148.3670477       

        Parameter values: [1.2533160541601388e-15]
        Function value:   10148.36704768798
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  1.253316054160139e-15])                               
  fk: 10148.367047687982  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.2533e-15] fk: 10148.3670477       

        Parameter values: [6.6734928808868254e-20]
        Function value:   10148.36704768798
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.6734928808868254e-20]
Function value:   10148.36704768798
Iterations:       8
Function calls:   28
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:25@N', the 
optimised chi-squared value is lower than the current value (10148.3670477 < 
None).


Fitting to spin '#1UBQ_H_mol1:26@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 31761.33524028596   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 31761.3352403       

        Parameter values: [0.036228233111844858]
        Function value:   31695.285608207592
        Iterations:       2
        Function calls:   6
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.036228233111845])                                    
  fk: 31991.943695605733  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.036228] fk: 31890.2727393       

        Parameter values: [0.00011703968235746934]
        Function value:   31761.333866017503
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000117039682357])                                    
  fk: 31762.078878922774  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011704] fk: 31761.3379755       

        Parameter values: [1.8936129163927326e-07]
        Function value:   31761.335240278768
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.893612916392733e-07])                               
  fk: 31761.336443429456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.8936e-07] fk: 31761.3352403       

        Parameter values: [1.5331009719065775e-10]
        Function value:   31761.335240285964
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.533100971906577e-10])                               
  fk: 31761.335241260051  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5331e-10] fk: 31761.3352403       

        Parameter values: [6.2086482041699067e-14]
        Function value:   31761.335240285949
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  6.208648204169907e-14])                               
  fk: 31761.335240286342  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.2086e-14] fk: 31761.3352403       

        Parameter values: [3.0807108670107041e-14]
        Function value:   31761.335240285945
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  3.080710867010704e-14])                               
  fk: 31761.335240286142  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.0807e-14] fk: 31761.3352403       

        Parameter values: [1.9256416882199672e-14]
        Function value:   31761.335240285945
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.9256416882199672e-14]
Function value:   31761.335240286069
Iterations:       11
Function calls:   48
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:26@N', the 
optimised chi-squared value is lower than the current value (31761.3352403 < 
None).


Fitting to spin '#1UBQ_H_mol1:27@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 20772.355126671464  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 20772.3551267       

        Parameter values: [0.062896597783685074]
        Function value:   20573.742931616514
        Iterations:       3
        Function calls:   7
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([ 0.062896597783685])                                    
  fk: 21004.909808815231  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.062897] fk: 20970.4932474       

        Parameter values: [0.00012900962472491961]
        Function value:   20772.353458902311
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000129009624725])                                    
  fk: 20772.830464153576  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012901] fk: 20772.3584519       

        Parameter values: [1.3244412595871135e-07]
        Function value:   20772.355126667961
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.324441259587114e-07])                               
  fk: 20772.355614659908  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.3244e-07] fk: 20772.3551267       

        Parameter values: [6.8019945480969701e-11]
        Function value:   20772.35512667146
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  6.801994548096970e-11])                               
  fk: 20772.355126922077  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   6.802e-11] fk: 20772.3551267       

        Parameter values: [5.1019326906269529e-11]
        Function value:   20772.35512667146
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [5.1019326906269529e-11]
Function value:   20772.355126859442
Iterations:       9
Function calls:   32
Gradient calls:   14
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:27@N', the 
optimised chi-squared value is lower than the current value (20772.3551269 < 
None).


Fitting to spin '#1UBQ_H_mol1:28@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 121008.48113405341  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 121008.481134       

        Parameter values: [-0.14913336106680303]
        Function value:   119865.742717277
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.149133361066803])                                    
  fk: 117262.37113745489  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.14913] fk: 123201.856625       

        Parameter values: [-0.002030560976577972]
        Function value:   121008.06312475985
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.002030560976578])                                    
  fk: 120957.06275887729  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0020306] fk: 121009.300078       

        Parameter values: [-1.3918550198251025e-05]
        Function value:   121008.48109504077
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -1.391855019825102e-05])                               
  fk: 121008.12864628338  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.3919e-05] fk: 121008.481211       

        Parameter values: [-4.7866642808178176e-08]
        Function value:   121008.48113405249
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -4.786664280817818e-08])                               
  fk: 121008.4799218281   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -4.7867e-08] fk: 121008.481134       

        Parameter values: [-8.2449754405263451e-11]
        Function value:   121008.48113405339
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -8.244975440526345e-11])                               
  fk: 121008.48113196535  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -8.245e-11] fk: 121008.481134       

        Parameter values: [-4.1250356474958938e-11]
        Function value:   121008.48113405338
        Iterations:       2
        Function calls:   18
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ -4.125035647495894e-11])                               
  fk: 121008.48113300871  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -4.125e-11] fk: 121008.481134       

        Parameter values: [-4.1249766808613801e-11]
        Function value:   121008.48113405336
        Iterations:       2
        Function calls:   41
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([ -4.124976680861380e-11])                               
  fk: 121008.48113300871  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -4.125e-11] fk: 121008.481134       

        Parameter values: [-5.1683721353075523e-12]
        Function value:   121008.48113405336
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-5.1683721353075523e-12]
Function value:   121008.48113392247
Iterations:       12
Function calls:   82
Gradient calls:   20
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:28@N', the 
optimised chi-squared value is lower than the current value (121008.481134 < 
None).


Fitting to spin '#1UBQ_H_mol1:29@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 30461.832652067402  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 30461.8326521       

        Parameter values: [0.043320960444686245]
        Function value:   30367.433685697441
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.043320960444686])                                    
  fk: 30706.808009451801  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.043321] fk: 30626.4951713       

        Parameter values: [0.00012972881033455549]
        Function value:   30461.830964056044
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000129728810335])                                    
  fk: 30462.564571536863  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012973] fk: 30461.8360129       

        Parameter values: [1.9453401683925818e-07]
        Function value:   30461.83265205982
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.945340168392582e-07])                               
  fk: 30461.833749605044  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9453e-07] fk: 30461.8326521       

        Parameter values: [1.4596556936347155e-10]
        Function value:   30461.832652067376
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.459655693634715e-10])                               
  fk: 30461.832652890898  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4597e-10] fk: 30461.8326521       

        Parameter values: [1.459655606665109e-10]
        Function value:   30461.832652067376
        Iterations:       1
        Function calls:   27
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.459655606665109e-10]
Function value:   30461.832652890898
Iterations:       8
Function calls:   52
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:29@N', the 
optimised chi-squared value is lower than the current value (30461.8326529 < 
None).


Fitting to spin '#1UBQ_H_mol1:30@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 32400.420980594445  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 32400.4209806       

        Parameter values: [0.032979334881585151]
        Function value:   32345.646192197797
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.032979334881585])                                    
  fk: 32621.057714552062  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.032979] fk: 32508.7916716       

        Parameter values: [0.00011872503804731538]
        Function value:   32400.419565938253
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.000118725038047])                                    
  fk: 32401.213859476404  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011873] fk: 32400.4237946       

        Parameter values: [2.1408940603241775e-07]
        Function value:   32400.420980585273
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.140894060324177e-07])                               
  fk: 32400.422410333991  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.1409e-07] fk: 32400.4209806       

        Parameter values: [1.9320118286792785e-10]
        Function value:   32400.420980594463
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.932011828679279e-10])                               
  fk: 32400.420981884705  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   1.932e-10] fk: 32400.4209806       

        Parameter values: [8.7215013379851232e-14]
        Function value:   32400.420980594459
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  8.721501337985123e-14])                               
  fk: 32400.420980595041  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.7215e-14] fk: 32400.4209806       

        Parameter values: [2.041382914506241e-17]
        Function value:   32400.420980594445
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  2.041382914506241e-17])                               
  fk: 32400.420980594445  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.0414e-17] fk: 32400.4209806       

        Parameter values: [-4.7491440570442104e-20]
        Function value:   32400.420980594445
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-4.7491440570442104e-20]
Function value:   32400.420980594445
Iterations:       9
Function calls:   25
Gradient calls:   16
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:30@N', the 
optimised chi-squared value is lower than the current value (32400.4209806 < 
None).


Fitting to spin '#1UBQ_H_mol1:31@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 24333.824286905299  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 24333.8242869       

        Parameter values: [0.054327304975895253]
        Function value:   24185.523591447683
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.054327304975895])                                    
  fk: 24581.223837909438  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.054327] fk: 24529.0739611       

        Parameter values: [0.000133653130663762]
        Function value:   24333.822496183933
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000133653130664])                                    
  fk: 24334.431139735581  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00013365] fk: 24333.8278551       

        Parameter values: [1.6460561959064394e-07]
        Function value:   24333.824286899875
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.646056195906439e-07])                               
  fk: 24333.825034292669  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6461e-07] fk: 24333.8242869       

        Parameter values: [1.0142562585161634e-10]
        Function value:   24333.824286905307
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.014256258516163e-10])                               
  fk: 24333.824287365827  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.0143e-10] fk: 24333.8242869       

        Parameter values: [3.1257503756024588e-14]
        Function value:   24333.824286905307
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [3.1257503756024588e-14]
Function value:   24333.824286905448
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:31@N', the 
optimised chi-squared value is lower than the current value (24333.8242869 < 
None).


Fitting to spin '#1UBQ_H_mol1:32@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 8798.8958877918449  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 8798.89588779       

        Parameter values: [0.084395545707490985]
        Function value:   8442.158360841051
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.084395545707491])                                    
  fk: 8929.9834111527016  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.084396] fk: 8923.89593631       

        Parameter values: [7.1876201907105849e-05]
        Function value:   8798.8953707326473
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  7.187620190710585e-05])                               
  fk: 8799.0070130045442  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.1876e-05] fk: 8798.89692059       

        Parameter values: [3.062003574464203e-08]
        Function value:   8798.8958877916593
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.062003574464203e-08])                               
  fk: 8798.8959351321955  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   3.062e-08] fk: 8798.89588779       

        Parameter values: [6.5236220694353218e-12]
        Function value:   8798.8958877918431
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  6.523622069435322e-12])                               
  fk: 8798.8958878019293  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.5236e-12] fk: 8798.89588779       

        Parameter values: [6.9504111524148624e-16]
        Function value:   8798.8958877918431
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.9504111524148624e-16]
Function value:   8798.8958877918449
Iterations:       9
Function calls:   39
Gradient calls:   14
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:32@N', the 
optimised chi-squared value is lower than the current value (8798.89588779 < 
None).


Fitting to spin '#1UBQ_H_mol1:33@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 187644.35565559106  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 187644.355656       

        Parameter values: [-0.26480338197160963]
        Function value:   183998.8110876948
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.26480338197161])                                     
  fk: 177844.7357127986   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     -0.2648] fk: 194516.935753       

        Parameter values: [-0.0051654093129436252]
        Function value:   187641.63442840846
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.005165409312944])                                    
  fk: 187450.53040440849  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0051654] fk: 187649.638864       

        Parameter values: [-5.0875952353265398e-05]
        Function value:   187644.35513276909
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -5.087595235326540e-05])                               
  fk: 187642.44608412503  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -5.0876e-05] fk: 187644.356686       

        Parameter values: [-2.5178764221547918e-07]
        Function value:   187644.3556555656
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -2.517876422154792e-07])                               
  fk: 187644.34620500068  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.5179e-07] fk: 187644.355656       

        Parameter values: [-6.2460042665479531e-10]
        Function value:   187644.35565559106
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -6.246004266547953e-10])                               
  fk: 187644.35563214732  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -6.246e-10] fk: 187644.355656       

        Parameter values: [-7.756732364141638e-13]
        Function value:   187644.35565559103
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 6       xk: array([ -7.756732364141638e-13])                               
  fk: 187644.35565556193  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -7.7567e-13] fk: 187644.355656       

        Parameter values: [-5.8187552497325172e-13]
        Function value:   187644.35565559103
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-5.8187552497325172e-13]
Function value:   187644.3556555692
Iterations:       10
Function calls:   32
Gradient calls:   17
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:33@N', the 
optimised chi-squared value is lower than the current value (187644.355656 < 
None).


Fitting to spin '#1UBQ_H_mol1:34@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 137816.72021846243  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 137816.720218       

        Parameter values: [-0.16936438250607794]
        Function value:   136340.47048502753
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.169364382506078])                                    
  fk: 133212.61195688351  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.16936] fk: 140643.114594       

        Parameter values: [-0.0024460827865837587]
        Function value:   137816.11311818159
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.002446082786584])                                    
  fk: 137749.62602814502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0024461] fk: 137817.908114       

        Parameter values: [-1.779253382666211e-05]
        Function value:   137816.72015468363
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -1.779253382666211e-05])                               
  fk: 137816.23211947788  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.7793e-05] fk: 137816.720345       

        Parameter values: [-6.4946662347373371e-08]
        Function value:   137816.72021846069
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ -6.494666234737337e-08])                               
  fk: 137816.71843679203  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -6.4947e-08] fk: 137816.720218       

        Parameter values: [-1.1875153547346876e-10]
        Function value:   137816.72021846237
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -1.187515354734688e-10])                               
  fk: 137816.7202152047   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.1875e-10] fk: 137816.720218       

        Parameter values: [-1.0866508463666642e-13]
        Function value:   137816.72021846237
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-1.0866508463666642e-13]
Function value:   137816.72021845941
Iterations:       8
Function calls:   22
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:34@N', the 
optimised chi-squared value is lower than the current value (137816.720218 < 
None).


Fitting to spin '#1UBQ_H_mol1:35@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 32646.848415245782  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 32646.8484152       

        Parameter values: [0.04594522639579416]
        Function value:   32540.682571813941
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.045945226395794])                                    
  fk: 32894.586644343843  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.045945] fk: 32821.5386806       

        Parameter values: [0.0001340400562832994]
        Function value:   32646.846613315178
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000134040056283])                                    
  fk: 32647.569367131135  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00013404] fk: 32646.8520033       

        Parameter values: [1.9580905740319279e-07]
        Function value:   32646.84841523811
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.958090574031928e-07])                               
  fk: 32646.849468422617  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9581e-07] fk: 32646.8484153       

        Parameter values: [1.4312591831307942e-10]
        Function value:   32646.848415245782
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.431259183130794e-10])                               
  fk: 32646.848416015597  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4313e-10] fk: 32646.8484152       

        Parameter values: [5.232910138142485e-14]
        Function value:   32646.848415245779
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  5.232910138142485e-14])                               
  fk: 32646.848415246059  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.2329e-14] fk: 32646.8484152       

        Parameter values: [5.1920354263866343e-14]
        Function value:   32646.848415245779
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [5.1920354263866343e-14]
Function value:   32646.848415246059
Iterations:       8
Function calls:   36
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:35@N', the 
optimised chi-squared value is lower than the current value (32646.8484152 < 
None).


Fitting to spin '#1UBQ_H_mol1:36@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 24011.819592648942  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 24011.8195926       

        Parameter values: [0.053041215153934063]
        Function value:   23870.474017424458
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.053041215153934])                                    
  fk: 24260.217643713502  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.053041] fk: 24205.0894569       

        Parameter values: [0.00012733956667543289]
        Function value:   24011.817967210118
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000127339566675])                                    
  fk: 24012.414316804981  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012734] fk: 24011.8228318       

        Parameter values: [1.5303998257863239e-07]
        Function value:   24011.819592644246
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.530399825786324e-07])                               
  fk: 24011.820307399114  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5304e-07] fk: 24011.8195927       

        Parameter values: [9.201899860741285e-11]
        Function value:   24011.819592648946
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  9.201899860741285e-11])                               
  fk: 24011.819593078708  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.2019e-11] fk: 24011.8195926       

        Parameter values: [4.0273877782900693e-11]
        Function value:   24011.819592648939
        Iterations:       2
        Function calls:   9
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  4.027387778290069e-11])                               
  fk: 24011.819592837033  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.0274e-11] fk: 24011.8195926       

        Parameter values: [-2.0120072038599627e-11]
        Function value:   24011.819592648935
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ -2.012007203859963e-11])                               
  fk: 24011.819592554966  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -2.012e-11] fk: 24011.8195926       

        Parameter values: [-1.5130362657542328e-15]
        Function value:   24011.819592648935
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-1.5130362657542328e-15]
Function value:   24011.819592648928
Iterations:       11
Function calls:   40
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:36@N', the 
optimised chi-squared value is lower than the current value (24011.8195926 < 
None).


Fitting to spin '#1UBQ_H_mol1:39@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 330155.06645520107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 330155.066455       

        Parameter values: [-0.54981668169756093]
        Function value:   313936.18229817675
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.549816681697561])                                    
  fk: 293323.09630755527  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.54982] fk: 359280.939819       

        Parameter values: [-0.019371359342047145]
        Function value:   330116.17112316424
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.019371359342047])                                    
  fk: 328819.86292212637  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.019371] fk: 330228.745992       

        Parameter values: [-0.00034736902839385339]
        Function value:   330155.04188149469
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([-0.000347369028394])                                    
  fk: 330131.09932745609  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00034737] fk: 330155.114281       

        Parameter values: [-3.1427045975381701e-06]
        Function value:   330155.06645121449
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ -3.142704597538170e-06])                               
  fk: 330154.84961671324  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -3.1427e-06] fk: 330155.066463       

        Parameter values: [-1.4280882815089868e-08]
        Function value:   330155.06645520095
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -1.428088281508987e-08])                               
  fk: 330155.06546985696  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.4281e-08] fk: 330155.066455       

        Parameter values: [-3.2521044536791785e-11]
        Function value:   330155.06645520101
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ -3.252104453679179e-11])                               
  fk: 330155.06645295717  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -3.2521e-11] fk: 330155.066455       

        Parameter values: [-2.8460547790538706e-11]
        Function value:   330155.06645520101
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-2.8460547790538706e-11]
Function value:   330155.06645323732
Iterations:       9
Function calls:   28
Gradient calls:   16
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:39@N', the 
optimised chi-squared value is lower than the current value (330155.066453 < 
None).


Fitting to spin '#1UBQ_H_mol1:40@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 321956.63008391554  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 321956.630084       

        Parameter values: [-0.52849844167225601]
        Function value:   306994.72942534904
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.528498441672256])                                    
  fk: 287744.21486612636  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     -0.5285] fk: 348891.319853       

        Parameter values: [-0.018203492342286687]
        Function value:   321922.31130143837
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.018203492342287])                                    
  fk: 320745.08793108078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.018203] fk: 322021.721441       

        Parameter values: [-0.00031899233892507609]
        Function value:   321956.60936970357
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([-0.000318992338925])                                    
  fk: 321935.37904476933  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00031899] fk: 321956.670423       

        Parameter values: [-2.8196667556080469e-06]
        Function value:   321956.63008070696
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -2.819666755608047e-06])                               
  fk: 321956.44223657326  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.8197e-06] fk: 321956.63009        

        Parameter values: [-1.2517252154667147e-08]
        Function value:   321956.63008391537
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -1.251725215466715e-08])                               
  fk: 321956.62925001094  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.2517e-08] fk: 321956.630084       

        Parameter values: [-2.7845522138661313e-11]
        Function value:   321956.63008391554
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ -2.784552213866131e-11])                               
  fk: 321956.63008206047  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.7846e-11] fk: 321956.630084       

        Parameter values: [-3.1006997335384848e-14]
        Function value:   321956.63008391554
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-3.1006997335384848e-14]
Function value:   321956.63008391351
Iterations:       11
Function calls:   29
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:40@N', the 
optimised chi-squared value is lower than the current value (321956.630084 < 
None).


Fitting to spin '#1UBQ_H_mol1:41@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 251712.34679890063  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 251712.346799       

        Parameter values: [-0.38538835823603057]
        Function value:   243891.87413400973
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.385388358236031])                                    
  fk: 232611.78121845628  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.38539] fk: 266170.502134       

        Parameter values: [-0.0099657419322286001]
        Function value:   251702.1515593894
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.009965741932229])                                    
  fk: 251208.49444665457  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0099657] fk: 251731.946363       

        Parameter values: [-0.00013053966830563202]
        Function value:   251712.34334554468
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([-0.000130539668306])                                    
  fk: 251705.74350896606  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00013054] fk: 251712.35357        

        Parameter values: [-8.6059557728411149e-07]
        Function value:   251712.34679860243
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -8.605955772841115e-07])                               
  fk: 251712.30326576732  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -8.606e-07] fk: 251712.346799       

        Parameter values: [-2.8461622090396741e-09]
        Function value:   251712.34679890063
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -2.846162209039674e-09])                               
  fk: 251712.34665492782  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.8462e-09] fk: 251712.346799       

        Parameter values: [-4.7142131715404833e-12]
        Function value:   251712.34679890057
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([ -4.714213171540483e-12])                               
  fk: 251712.3467986621   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -4.7142e-12] fk: 251712.346799       

        Parameter values: [-2.3590601505595775e-12]
        Function value:   251712.34679890057
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-2.3590601505595775e-12]
Function value:   251712.34679878125
Iterations:       10
Function calls:   28
Gradient calls:   17
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:41@N', the 
optimised chi-squared value is lower than the current value (251712.346799 < 
None).


Fitting to spin '#1UBQ_H_mol1:42@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 8831.5121544971953  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 8831.5121545        

        Parameter values: [0.08258656919258911]
        Function value:   8489.8704779879481
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.082586569192589])                                    
  fk: 8974.709099363723   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.082587] fk: 8967.12841005       

        Parameter values: [7.4352601885744989e-05]
        Function value:   8831.511601168093
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  7.435260188574499e-05])                               
  fk: 8831.6405217259799  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.4353e-05] fk: 8831.51325966       

        Parameter values: [3.3484858056161354e-08]
        Function value:   8831.5121544969697
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.348485805616135e-08])                               
  fk: 8831.5122123074343  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.3485e-08] fk: 8831.5121545        

        Parameter values: [7.5416877112893083e-12]
        Function value:   8831.5121544971953
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  7.541687711289308e-12])                               
  fk: 8831.5121545102156  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.5417e-12] fk: 8831.5121545        

        Parameter values: [8.4957870927268684e-16]
        Function value:   8831.5121544971935
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  8.495787092726868e-16])                               
  fk: 8831.5121544971953  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.4958e-16] fk: 8831.5121545        

        Parameter values: [6.3719168349310804e-16]
        Function value:   8831.5121544971935
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.3719168349310804e-16]
Function value:   8831.5121544971953
Iterations:       10
Function calls:   35
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:42@N', the 
optimised chi-squared value is lower than the current value (8831.5121545 < 
None).


Fitting to spin '#1UBQ_H_mol1:43@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 38269.266055989625  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 38269.266056        

        Parameter values: [0.023235520459399667]
        Function value:   38242.055654722957
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.0232355204594])                                      
  fk: 38447.416388765989  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.023236] fk: 38323.0390664       

        Parameter values: [9.2561100038458105e-05]
        Function value:   38269.265195807267
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  9.256110003845811e-05])                               
  fk: 38269.974879518559  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.2561e-05] fk: 38269.2677661       

        Parameter values: [1.8473130800975165e-07]
        Function value:   38269.266055982785
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.847313080097516e-07])                               
  fk: 38269.267470636449  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.8473e-07] fk: 38269.266056        

        Parameter values: [1.8452537683349836e-10]
        Function value:   38269.266055989632
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.845253768334984e-10])                               
  fk: 38269.266057402703  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.8453e-10] fk: 38269.266056        

        Parameter values: [9.2206410322085693e-14]
        Function value:   38269.266055989625
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  9.220641032208569e-14])                               
  fk: 38269.266055990331  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.2206e-14] fk: 38269.266056        

        Parameter values: [2.3175289457286351e-17]
        Function value:   38269.266055989625
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.3175289457286351e-17]
Function value:   38269.266055989625
Iterations:       9
Function calls:   24
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:43@N', the 
optimised chi-squared value is lower than the current value (38269.266056 < 
None).


Fitting to spin '#1UBQ_H_mol1:44@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 32403.171361844241  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 32403.1713618       

        Parameter values: [0.036533827417778289]
        Function value:   32335.995080125373
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.036533827417778])                                    
  fk: 32634.597327013555  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.036534] fk: 32533.8984505       

        Parameter values: [0.00012010979019074939]
        Function value:   32403.169914449558
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000120109790191])                                    
  fk: 32403.930762680695  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012011] fk: 32403.1742424       

        Parameter values: [1.9776349828732329e-07]
        Function value:   32403.171361836397
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.977634982873233e-07])                               
  fk: 32403.172612207141  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9776e-07] fk: 32403.1713619       

        Parameter values: [1.6294519093088447e-10]
        Function value:   32403.171361844234
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.629451909308845e-10])                               
  fk: 32403.171362874458  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6295e-10] fk: 32403.1713618       

        Parameter values: [1.4258516478146053e-10]
        Function value:   32403.171361844226
        Iterations:       2
        Function calls:   27
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.425851647814605e-10])                               
  fk: 32403.171362745725  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4259e-10] fk: 32403.1713618       

        Parameter values: [1.4258511380054275e-10]
        Function value:   32403.171361844226
        Iterations:       1
        Function calls:   25
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.4258511380054275e-10]
Function value:   32403.171362745725
Iterations:       10
Function calls:   78
Gradient calls:   16
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:44@N', the 
optimised chi-squared value is lower than the current value (32403.1713627 < 
None).


Fitting to spin '#1UBQ_H_mol1:45@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 20021.039476493526  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 20021.0394765       

        Parameter values: [0.068157170513156992]
        Function value:   19787.982678019795
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.068157170513157])                                    
  fk: 20237.284388533386  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.068157] fk: 20211.9352438       

        Parameter values: [0.00011524443757282132]
        Function value:   20021.03814611601
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000115244437573])                                    
  fk: 20021.403788885462  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011524] fk: 20021.0421305       

        Parameter values: [9.7513718694126048e-08]
        Function value:   20021.039476491616
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.751371869412605e-08])                               
  fk: 20021.039784753404  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.7514e-08] fk: 20021.0394765       

        Parameter values: [4.1272926495431678e-11]
        Function value:   20021.039476493526
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  4.127292649543168e-11])                               
  fk: 20021.039476623999  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.1273e-11] fk: 20021.0394765       

        Parameter values: [8.7363689367468731e-15]
        Function value:   20021.039476493526
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [8.7363689367468731e-15]
Function value:   20021.039476493555
Iterations:       8
Function calls:   28
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:45@N', the 
optimised chi-squared value is lower than the current value (20021.0394765 < 
None).


Fitting to spin '#1UBQ_H_mol1:46@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 4017.7815301622936  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 4017.78153016       

        Parameter values: [0.092664732653738549]
        Function value:   3588.1171340463447
        Iterations:       3
        Function calls:   7
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 1       xk: array([ 0.092664732653739])                                    
  fk: 4085.4268266942886  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.092665] fk: 4084.08167302       

        Parameter values: [3.5249432833470672e-05]
        Function value:   4017.7814058627591
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  3.524943283347067e-05])                               
  fk: 4017.8071380118713  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.5249e-05] fk: 4017.78177862       

        Parameter values: [6.7056735111140921e-09]
        Function value:   4017.7815301622868
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.705673511114092e-09])                               
  fk: 4017.7815350337942  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.7057e-09] fk: 4017.78153016       

        Parameter values: [6.3788724522499848e-13]
        Function value:   4017.7815301622945
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  6.378872452249985e-13])                               
  fk: 4017.7815301627579  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.3789e-13] fk: 4017.78153016       

        Parameter values: [3.0403585679857893e-17]
        Function value:   4017.7815301622936
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  3.040358567985789e-17])                               
  fk: 4017.7815301622936  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.0404e-17] fk: 4017.78153016       

        Parameter values: [-6.9201305124567134e-21]
        Function value:   4017.7815301622936
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-6.9201305124567134e-21]
Function value:   4017.7815301622936
Iterations:       12
Function calls:   46
Gradient calls:   18
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:46@N', the 
optimised chi-squared value is lower than the current value (4017.78153016 < 
None).


Fitting to spin '#1UBQ_H_mol1:47@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 34188.666360002811  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 34188.66636         

        Parameter values: [0.030236733113233227]
        Function value:   34142.614519109062
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.030236733113233])                                    
  fk: 34399.268848773347  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.030237] fk: 34279.7535235       

        Parameter values: [0.00011164839409048832]
        Function value:   34188.665108846573
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.00011164839409])                                     
  fk: 34189.442757981626  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011165] fk: 34188.6688485       

        Parameter values: [2.0651074388477097e-07]
        Function value:   34188.666359994269
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.065107438847710e-07])                               
  fk: 34188.667796060836  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.0651e-07] fk: 34188.66636         

        Parameter values: [1.9116336324109347e-10]
        Function value:   34188.666360002811
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.911633632410935e-10])                               
  fk: 34188.666361332143  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9116e-10] fk: 34188.66636         

        Parameter values: [8.8519308578410344e-14]
        Function value:   34188.666360002811
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [8.8519308578410344e-14]
Function value:   34188.66636000343
Iterations:       6
Function calls:   17
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:47@N', the 
optimised chi-squared value is lower than the current value (34188.66636 < 
None).


Fitting to spin '#1UBQ_H_mol1:48@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 10760.452813546677  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 10760.4528135       

        Parameter values: [0.07888002959435382]
        Function value:   10448.647818783827
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.078880029594354])                                    
  fk: 10926.345161287059  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [     0.07888] fk: 10915.1938325       

        Parameter values: [8.8900840739029874e-05]
        Function value:   10760.452022318981
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.890084073902987e-05])                               
  fk: 10760.638990295576  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.8901e-05] fk: 10760.4543933       

        Parameter values: [5.0125587754999766e-08]
        Function value:   10760.45281354617
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.012558775499977e-08])                               
  fk: 10760.452918519519  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.0126e-08] fk: 10760.4528135       

        Parameter values: [1.4135317426129851e-11]
        Function value:   10760.452813546672
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.413531742612985e-11])                               
  fk: 10760.452813576274  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4135e-11] fk: 10760.4528135       

        Parameter values: [7.0686553568655058e-12]
        Function value:   10760.452813546672
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [7.0686553568655058e-12]
Function value:   10760.452813561475
Iterations:       8
Function calls:   29
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:48@N', the 
optimised chi-squared value is lower than the current value (10760.4528136 < 
None).


Fitting to spin '#1UBQ_H_mol1:49@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 13882.376940291642  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 13882.3769403       

        Parameter values: [0.076926271568611218]
        Function value:   13585.807217064939
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.076926271568611])                                    
  fk: 14059.187369878666  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.076926] fk: 14045.8774463       

        Parameter values: [8.9223529502677743e-05]
        Function value:   13882.376143283405
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.922352950267774e-05])                               
  fk: 13882.581219148527  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.9224e-05] fk: 13882.3785315       

        Parameter values: [5.1773324334476668e-08]
        Function value:   13882.376940291113
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  5.177332433447667e-08])                               
  fk: 13882.37705882706   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.1773e-08] fk: 13882.3769403       

        Parameter values: [1.5025491843768424e-11]
        Function value:   13882.376940291646
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.502549184376842e-11])                               
  fk: 13882.376940326047  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5025e-11] fk: 13882.3769403       

        Parameter values: [2.1805241929441474e-15]
        Function value:   13882.376940291646
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.1805241929441474e-15]
Function value:   13882.376940291651
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:49@N', the 
optimised chi-squared value is lower than the current value (13882.3769403 < 
None).


Fitting to spin '#1UBQ_H_mol1:50@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 34693.881085712492  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 34693.8810857       

        Parameter values: [0.033867316861906069]
        Function value:   34636.133627399904
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.033867316861906])                                    
  fk: 34917.457038447727  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.033867] fk: 34808.118744        

        Parameter values: [0.00011702330869022481]
        Function value:   34693.87971151869
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.00011702330869])                                     
  fk: 34694.652248612554  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011702] fk: 34693.8838199       

        Parameter values: [2.025279315976986e-07]
        Function value:   34693.881085704277
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.025279315976986e-07])                               
  fk: 34693.882420327529  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.0253e-07] fk: 34693.8810857       

        Parameter values: [1.7540559869890263e-10]
        Function value:   34693.881085712499
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.754055986989026e-10])                               
  fk: 34693.881086868387  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.7541e-10] fk: 34693.8810857       

        Parameter values: [4.3865588094990894e-11]
        Function value:   34693.881085712477
        Iterations:       3
        Function calls:   19
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 5       xk: array([  4.386558809499089e-11])                               
  fk: 34693.881086001544  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.3866e-11] fk: 34693.8810857       

        Parameter values: [4.3833480855749871e-11]
        Function value:   34693.881085712477
        Iterations:       1
        Function calls:   14
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [4.3833480855749871e-11]
Function value:   34693.881086001333
Iterations:       11
Function calls:   59
Gradient calls:   17
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:50@N', the 
optimised chi-squared value is lower than the current value (34693.881086 < 
None).


Fitting to spin '#1UBQ_H_mol1:51@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 24771.70404712098   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 24771.7040471       

        Parameter values: [0.054972139028374369]
        Function value:   24619.90282553036
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.054972139028374])                                    
  fk: 25018.527412346357  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.054972] fk: 24967.8397058       

        Parameter values: [0.00012784292990174195]
        Function value:   24771.702408929734
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000127842929902])                                    
  fk: 24772.276423915646  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012784] fk: 24771.7073121       

        Parameter values: [1.4882849463715214e-07]
        Function value:   24771.704047116546
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.488284946371521e-07])                               
  fk: 24771.704713449657  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4883e-07] fk: 24771.7040471       

        Parameter values: [8.6679885554340163e-11]
        Function value:   24771.704047120984
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  8.667988555434016e-11])                               
  fk: 24771.704047509062  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   8.668e-11] fk: 24771.7040471       

        Parameter values: [2.5249337008829341e-14]
        Function value:   24771.704047120984
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.5249337008829341e-14]
Function value:   24771.704047121097
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:51@N', the 
optimised chi-squared value is lower than the current value (24771.7040471 < 
None).


Fitting to spin '#1UBQ_H_mol1:52@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 13907.873773058216  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 13907.8737731       

        Parameter values: [0.074604320757417256]
        Function value:   13628.854945895864
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.074604320757417])                                    
  fk: 14096.607919686256  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.074604] fk: 14080.4844066       

        Parameter values: [9.7533339983002596e-05]
        Function value:   13907.872820537701
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  9.753333998300260e-05])                               
  fk: 13908.119561804227  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.7533e-05] fk: 13907.8756744       

        Parameter values: [6.3796403397916495e-08]
        Function value:   13907.873773057398
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  6.379640339791649e-08])                               
  fk: 13907.873933827428  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.3796e-08] fk: 13907.8737731       

        Parameter values: [2.0871389287044282e-11]
        Function value:   13907.873773058216
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  2.087138928704428e-11])                               
  fk: 13907.873773110812  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.0871e-11] fk: 13907.8737731       

        Parameter values: [3.4148508253322703e-15]
        Function value:   13907.873773058212
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  3.414850825332270e-15])                               
  fk: 13907.873773058222  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.4149e-15] fk: 13907.8737731       

        Parameter values: [2.5411956575557732e-15]
        Function value:   13907.873773058211
        Iterations:       2
        Function calls:   14
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  2.541195657555773e-15])                               
  fk: 13907.873773058218  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.5412e-15] fk: 13907.8737731       

        Parameter values: [2.5337510840503282e-15]
        Function value:   13907.873773058211
        Iterations:       1
        Function calls:   12
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.5337510840503282e-15]
Function value:   13907.873773058218
Iterations:       11
Function calls:   54
Gradient calls:   18
Hessian calls:    11
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:52@N', the 
optimised chi-squared value is lower than the current value (13907.8737731 < 
None).


Fitting to spin '#1UBQ_H_mol1:54@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 34656.192649823795  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 34656.1926498       

        Parameter values: [0.030495125550053456]
        Function value:   34609.349078851759
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.030495125550053])                                    
  fk: 34867.802700236622  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.030495] fk: 34748.8419812       

        Parameter values: [0.00011301962362024465]
        Function value:   34656.191367728628
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.00011301962362])                                     
  fk: 34656.975631860107  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011302] fk: 34656.1951998       

        Parameter values: [2.0982286831017715e-07]
        Function value:   34656.192649814977
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.098228683101771e-07])                               
  fk: 34656.194103434565  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.0982e-07] fk: 34656.1926498       

        Parameter values: [1.9495084071013042e-10]
        Function value:   34656.192649823803
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.949508407101304e-10])                               
  fk: 34656.19265117438   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9495e-10] fk: 34656.1926498       

        Parameter values: [9.0608516063132293e-14]
        Function value:   34656.192649823795
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([  9.060851606313229e-14])                               
  fk: 34656.192649824421  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.0609e-14] fk: 34656.1926498       

        Parameter values: [2.1167620144176106e-17]
        Function value:   34656.192649823795
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.1167620144176106e-17]
Function value:   34656.192649823795
Iterations:       7
Function calls:   20
Gradient calls:   13
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:54@N', the 
optimised chi-squared value is lower than the current value (34656.1926498 < 
None).


Fitting to spin '#1UBQ_H_mol1:55@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 19247.154115349695  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 19247.1541153       

        Parameter values: [0.064574249584944732]
        Function value:   19037.855667711574
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.064574249584945])                                    
  fk: 19475.106478088084  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.064574] fk: 19443.7318833       

        Parameter values: [0.00012469433162991782]
        Function value:   19247.152557473761
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.00012469433163])                                     
  fk: 19247.592741633176  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012469] fk: 19247.1572221       

        Parameter values: [1.2051013656061752e-07]
        Function value:   19247.154115346784
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.205101365606175e-07])                               
  fk: 19247.154539254698  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.2051e-07] fk: 19247.1541154       

        Parameter values: [5.8261325097948702e-11]
        Function value:   19247.154115349691
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  5.826132509794870e-11])                               
  fk: 19247.154115554629  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.8261e-11] fk: 19247.1541153       

        Parameter values: [2.9137705954587193e-11]
        Function value:   19247.154115349691
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [2.9137705954587193e-11]
Function value:   19247.154115452184
Iterations:       6
Function calls:   25
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:55@N', the 
optimised chi-squared value is lower than the current value (19247.1541155 < 
None).


Fitting to spin '#1UBQ_H_mol1:56@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 93372.927629879196  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 93372.9276299       

        Parameter values: [-0.089949621647347003]
        Function value:   92959.878116221735
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.089949621647347])                                    
  fk: 91655.835178023219  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.08995] fk: 94173.5182814       

        Parameter values: [-0.00093545308083468892]
        Function value:   93372.839203015756
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000935453080835])                                    
  fk: 93354.982799891775  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00093545] fk: 93373.1017248       

        Parameter values: [-4.8896621232586736e-06]
        Function value:   93372.92762507232
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -4.889662123258674e-06])                               
  fk: 93372.833826533635  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -4.8897e-06] fk: 93372.9276394       

        Parameter values: [-1.2812746122520631e-08]
        Function value:   93372.927629879152
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -1.281274612252063e-08])                               
  fk: 93372.927384079245  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.2813e-08] fk: 93372.9276299       

        Parameter values: [-1.6809120358569018e-11]
        Function value:   93372.92762987921
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -1.680912035856902e-11])                               
  fk: 93372.92762955674   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.6809e-11] fk: 93372.9276299       

        Parameter values: [-8.4100765844180665e-12]
        Function value:   93372.92762987921
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-8.4100765844180665e-12]
Function value:   93372.927629717873
Iterations:       8
Function calls:   23
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:56@N', the 
optimised chi-squared value is lower than the current value (93372.9276297 < 
None).


Fitting to spin '#1UBQ_H_mol1:57@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 46779.808432721002  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 46779.8084327       

        Parameter values: [0.015516617671579686]
        Function value:   46767.662754411824
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.01551661767158])                                     
  fk: 46910.790659929327  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.015517] fk: 46803.777568        

        Parameter values: [6.8913271343791493e-05]
        Function value:   46779.807955698518
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([  6.891327134379149e-05])                               
  fk: 46780.389683419664  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.8913e-05] fk: 46779.8093804       

        Parameter values: [1.5337132058584804e-07]
        Function value:   46779.80843271628
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.533713205858480e-07])                               
  fk: 46779.809726330503  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5337e-07] fk: 46779.8084327       

        Parameter values: [1.7085944874272951e-10]
        Function value:   46779.808432720987
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.708594487427295e-10])                               
  fk: 46779.8084341621    
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.7086e-10] fk: 46779.8084327       

        Parameter values: [8.5477173728444834e-11]
        Function value:   46779.80843272098
        Iterations:       2
        Function calls:   25
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  8.547717372844483e-11])                               
  fk: 46779.80843344194   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.5477e-11] fk: 46779.8084327       

        Parameter values: [8.5477158451032636e-11]
        Function value:   46779.80843272098
        Iterations:       1
        Function calls:   26
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [8.5477158451032636e-11]
Function value:   46779.80843344194
Iterations:       7
Function calls:   63
Gradient calls:   13
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:57@N', the 
optimised chi-squared value is lower than the current value (46779.8084334 < 
None).


Fitting to spin '#1UBQ_H_mol1:58@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 11364.039435651424  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 11364.0394357       

        Parameter values: [0.090314588347178079]
        Function value:   10955.792152585489
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.090314588347178])                                    
  fk: 11451.101792641259  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.090315] fk: 11448.7566127       

        Parameter values: [4.5489065239588157e-05]
        Function value:   11364.039228621645
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.548906523958816e-05])                               
  fk: 11364.083079728394  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.5489e-05] fk: 11364.0398494       

        Parameter values: [1.1458704180342561e-08]
        Function value:   11364.039435651397
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.145870418034256e-08])                               
  fk: 11364.039446645349  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.1459e-08] fk: 11364.0394357       

        Parameter values: [1.4434065932930829e-12]
        Function value:   11364.039435651424
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.443406593293083e-12])                               
  fk: 11364.039435652809  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.4434e-12] fk: 11364.0394357       

        Parameter values: [9.0905938866565118e-17]
        Function value:   11364.039435651424
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [9.0905938866565118e-17]
Function value:   11364.039435651424
Iterations:       8
Function calls:   37
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:58@N', the 
optimised chi-squared value is lower than the current value (11364.0394357 < 
None).


Fitting to spin '#1UBQ_H_mol1:59@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 58140.427974508078  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 58140.4279745       

        Parameter values: [-0.01161568894333221]
        Function value:   58133.602583157815
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.011615688943332])                                    
  fk: 58010.699482243079  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.011616] fk: 58153.8412176       

        Parameter values: [-6.7768615000685095e-05]
        Function value:   58140.427512554423
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ -6.776861500068510e-05])                               
  fk: 58139.670649230698  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -6.7769e-05] fk: 58140.4288903       

        Parameter values: [-1.9826725296619066e-07]
        Function value:   58140.427974500191
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -1.982672529661907e-07])                               
  fk: 58140.425758831465  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.9827e-07] fk: 58140.4279745       

        Parameter values: [-2.9045518240350974e-10]
        Function value:   58140.427974508064
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -2.904551824035097e-10])                               
  fk: 58140.427971262172  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -2.9046e-10] fk: 58140.4279745       

        Parameter values: [-2.5417489836486909e-10]
        Function value:   58140.427974508064
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-2.5417489836486909e-10]
Function value:   58140.42797166761
Iterations:       6
Function calls:   20
Gradient calls:   11
Hessian calls:    6
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:59@N', the 
optimised chi-squared value is lower than the current value (58140.4279717 < 
None).


Fitting to spin '#1UBQ_H_mol1:60@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 134805.76767458854  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 134805.767675       

        Parameter values: [-0.16612134950030846]
        Function value:   133385.96656888741
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.166121349500308])                                    
  fk: 130344.93793589417  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    -0.16612] fk: 137525.411983       

        Parameter values: [-0.0023726547994505631]
        Function value:   134805.19656859591
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.002372654799451])                                    
  fk: 134741.49220980337  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0023727] fk: 134806.885416       

        Parameter values: [-1.7065783620894004e-05]
        Function value:   134805.76761591836
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -1.706578362089400e-05])                               
  fk: 134805.30530249074  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.7066e-05] fk: 134805.767791       

        Parameter values: [-6.1596013662894137e-08]
        Function value:   134805.76767458703
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ -6.159601366289414e-08])                               
  fk: 134805.76600573439  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -6.1596e-08] fk: 134805.767675       

        Parameter values: [-1.1136108268643589e-10]
        Function value:   134805.76767458851
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -1.113610826864359e-10])                               
  fk: 134805.76767157135  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.1136e-10] fk: 134805.767675       

        Parameter values: [-5.5730920189101707e-11]
        Function value:   134805.76767458851
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-5.5730920189101707e-11]
Function value:   134805.76767307858
Iterations:       7
Function calls:   21
Gradient calls:   13
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:60@N', the 
optimised chi-squared value is lower than the current value (134805.767673 < 
None).


Fitting to spin '#1UBQ_H_mol1:61@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 38168.477198869463  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 38168.4771989       

        Parameter values: [0.026511991171959345]
        Function value:   38133.060447650161
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.026511991171959])                                    
  fk: 38363.036075574651  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.026512] fk: 38238.493299        

        Parameter values: [0.00010237454628605341]
        Function value:   38168.476146751986
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([ 0.000102374546286])                                    
  fk: 38169.227428853337  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00010237] fk: 38168.4792909       

        Parameter values: [1.9803910281292062e-07]
        Function value:   38168.477198861598
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.980391028129206e-07])                               
  fk: 38168.478650148856  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9804e-07] fk: 38168.4771989       

        Parameter values: [1.9173446079002008e-10]
        Function value:   38168.477198869463
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.917344607900201e-10])                               
  fk: 38168.477200274538  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9173e-10] fk: 38168.4771989       

        Parameter values: [9.286052090809996e-14]
        Function value:   38168.477198869456
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  9.286052090809996e-14])                               
  fk: 38168.47719887014   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.2861e-14] fk: 38168.4771989       

        Parameter values: [4.6441494151989349e-14]
        Function value:   38168.477198869456
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [4.6441494151989349e-14]
Function value:   38168.477198869798
Iterations:       8
Function calls:   23
Gradient calls:   14
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:61@N', the 
optimised chi-squared value is lower than the current value (38168.4771989 < 
None).


Fitting to spin '#1UBQ_H_mol1:62@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 23523.745389202821  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 23523.7453892       

        Parameter values: [0.061112556008381475]
        Function value:   23336.303187451627
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.061112556008381])                                    
  fk: 23760.691522441564  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.061113] fk: 23722.8856899       

        Parameter values: [0.00011513974944761876]
        Function value:   23523.744060984191
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000115139749448])                                    
  fk: 23524.190484323783  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00011514] fk: 23523.7480381       

        Parameter values: [1.0856739753488723e-07]
        Function value:   23523.745389200456
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.085673975348872e-07])                               
  fk: 23523.745808888874  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.0857e-07] fk: 23523.7453892       

        Parameter values: [5.120924590733939e-11]
        Function value:   23523.745389202828
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  5.120924590733939e-11])                               
  fk: 23523.745389400785  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  5.1209e-11] fk: 23523.7453892       

        Parameter values: [1.208071525403244e-14]
        Function value:   23523.745389202824
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.208071525403244e-14])                               
  fk: 23523.745389202872  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.2081e-14] fk: 23523.7453892       

        Parameter values: [1.0664442715141431e-18]
        Function value:   23523.745389202821
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  1.066444271514143e-18])                               
  fk: 23523.745389202821  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.0664e-18] fk: 23523.7453892       

        Parameter values: [6.930344355706609e-22]
        Function value:   23523.745389202821
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.930344355706609e-22]
Function value:   23523.745389202821
Iterations:       12
Function calls:   38
Gradient calls:   19
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:62@N', the 
optimised chi-squared value is lower than the current value (23523.7453892 < 
None).


Fitting to spin '#1UBQ_H_mol1:63@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 69675.437458435248  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 69675.4374584       

        Parameter values: [-0.0385571033177479]
        Function value:   69599.994311444767
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([-0.038557103317748])                                    
  fk: 69140.090767454516  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.038557] fk: 69822.9918439       

        Parameter values: [-0.00028591370907431884]
        Function value:   69675.429222699648
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000285913709074])                                    
  fk: 69671.459510501925  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00028591] fk: 69675.4537467       

        Parameter values: [-1.0640175112979692e-06]
        Function value:   69675.437458207991
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -1.064017511297969e-06])                               
  fk: 69675.422654419701  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -1.064e-06] fk: 69675.4374589       

        Parameter values: [-1.9835421498200061e-09]
        Function value:   69675.437458435234
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -1.983542149820006e-09])                               
  fk: 69675.437430837585  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.9835e-09] fk: 69675.4374584       

        Parameter values: [-1.850586738122553e-12]
        Function value:   69675.437458435234
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


Parameter values: [-1.850586738122553e-12]
Function value:   69675.437458409491
Iterations:       8
Function calls:   21
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:63@N', the 
optimised chi-squared value is lower than the current value (69675.4374584 < 
None).


Fitting to spin '#1UBQ_H_mol1:64@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 73515.146271587801  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 73515.1462716       

        Parameter values: [-0.034454441429934285]
        Function value:   73454.930989311615
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.034454441429934])                                    
  fk: 73051.031148299837  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.034454] fk: 73632.9972694       

        Parameter values: [-0.00024776839922770189]
        Function value:   73515.140088203974
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000247768399228])                                    
  fk: 73511.802593113796  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -0.00024777] fk: 73515.158505        

        Parameter values: [-8.9408947317629961e-07]
        Function value:   73515.146271427395
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -8.940894731762996e-07])                               
  fk: 73515.134205532013  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -8.9409e-07] fk: 73515.1462719       

        Parameter values: [-1.6161078921939862e-09]
        Function value:   73515.146271587801
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([ -1.616107892193986e-09])                               
  fk: 73515.146249777856  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.6161e-09] fk: 73515.1462716       

        Parameter values: [-1.2124463982385073e-09]
        Function value:   73515.146271587815
        Iterations:       1
        Function calls:   5
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 5       xk: array([ -1.212446398238507e-09])                               
  fk: 73515.146255225423  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.2124e-09] fk: 73515.1462716       

        Parameter values: [6.0521759425466854e-10]
        Function value:   73515.14627158783
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 6       xk: array([  6.052175942546685e-10])                               
  fk: 73515.146279755456  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.0522e-10] fk: 73515.1462716       

        Parameter values: [2.270421985217096e-10]
        Function value:   73515.146271587815
        Iterations:       2
        Function calls:   8
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 7       xk: array([  2.270421985217096e-10])                               
  fk: 73515.146274651837  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.2704e-10] fk: 73515.1462716       

        Parameter values: [5.6801216969293839e-11]
        Function value:   73515.146271587815
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [5.6801216969293839e-11]
Function value:   73515.146272354366
Iterations:       10
Function calls:   34
Gradient calls:   18
Hessian calls:    10
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:64@N', the 
optimised chi-squared value is lower than the current value (73515.1462724 < 
None).


Fitting to spin '#1UBQ_H_mol1:65@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 30221.280148914542  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 30221.2801489       

        Parameter values: [0.048765301185657597]
        Function value:   30101.73585110635
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.048765301185658])                                    
  fk: 30470.48613297653   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.048765] fk: 30404.8612739       

        Parameter values: [0.00013120837927960496]
        Function value:   30221.278422706113
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.00013120837928])                                     
  fk: 30221.948943321662  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00013121] fk: 30221.2835874       

        Parameter values: [1.7675303805588199e-07]
        Function value:   30221.280148908285
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.767530380558820e-07])                               
  fk: 30221.281049852605  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.7675e-07] fk: 30221.2801489       

        Parameter values: [1.1913375657184149e-10]
        Function value:   30221.280148914535
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.191337565718415e-10])                               
  fk: 30221.280149521779  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.1913e-10] fk: 30221.2801489       

        Parameter values: [4.0162910538048332e-14]
        Function value:   30221.280148914531
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  4.016291053804833e-14])                               
  fk: 30221.280148914735  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.0163e-14] fk: 30221.2801489       

        Parameter values: [1.9771072365251494e-14]
        Function value:   30221.280148914528
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 6       xk: array([  1.977107236525149e-14])                               
  fk: 30221.28014891463   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9771e-14] fk: 30221.2801489       

        Parameter values: [1.6064501171393127e-14]
        Function value:   30221.280148914528
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.6064501171393127e-14]
Function value:   30221.280148914611
Iterations:       12
Function calls:   48
Gradient calls:   19
Hessian calls:    12
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:65@N', the 
optimised chi-squared value is lower than the current value (30221.2801489 < 
None).


Fitting to spin '#1UBQ_H_mol1:66@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 31667.067778758421  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 31667.0677788       

        Parameter values: [0.037972061108019275]
        Function value:   31594.505455806284
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.037972061108019])                                    
  fk: 31902.132195646918  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.037972] fk: 31805.9455656       

        Parameter values: [0.00012296795969068963]
        Function value:   31667.066261733809
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000122967959691])                                    
  fk: 31667.827494530837  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00012297] fk: 31667.0707981       

        Parameter values: [1.994314022151823e-07]
        Function value:   31667.067778750457
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.994314022151823e-07])                               
  fk: 31667.069010869651  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.9943e-07] fk: 31667.0677788       

        Parameter values: [1.6185176386046174e-10]
        Function value:   31667.067778758417
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.618517638604617e-10])                               
  fk: 31667.067779758356  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6185e-10] fk: 31667.0677788       

        Parameter values: [1.4162850630862609e-10]
        Function value:   31667.067778758417
        Iterations:       1
        Function calls:   6
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.4162850630862609e-10]
Function value:   31667.067779633417
Iterations:       8
Function calls:   31
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:66@N', the 
optimised chi-squared value is lower than the current value (31667.0677796 < 
None).


Fitting to spin '#1UBQ_H_mol1:67@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 18861.920342601159  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 18861.9203426       

        Parameter values: [0.061565160298898025]
        Function value:   18671.630844544427
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([ 0.061565160298898])                                    
  fk: 19097.768999401957  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.061565] fk: 19060.8380768       

        Parameter values: [0.00012579585948336962]
        Function value:   18861.918756901279
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000125795859483])                                    
  fk: 18862.400668810882  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   0.0001258] fk: 18861.9235043       

        Parameter values: [1.2865053782988621e-07]
        Function value:   18861.920342597849
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.286505378298862e-07])                               
  fk: 18861.920833824075  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.2865e-07] fk: 18861.9203426       

        Parameter values: [6.5818654612764745e-11]
        Function value:   18861.920342601159
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  6.581865461276474e-11])                               
  fk: 18861.920342852474  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.5819e-11] fk: 18861.9203426       

        Parameter values: [1.6841391586017367e-14]
        Function value:   18861.920342601152
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([  1.684139158601737e-14])                               
  fk: 18861.920342601217  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.6841e-14] fk: 18861.9203426       

        Parameter values: [1.6709834780140178e-14]
        Function value:   18861.920342601152
        Iterations:       1
        Function calls:   10
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.6709834780140178e-14]
Function value:   18861.920342601217
Iterations:       9
Function calls:   38
Gradient calls:   15
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:67@N', the 
optimised chi-squared value is lower than the current value (18861.9203426 < 
None).


Fitting to spin '#1UBQ_H_mol1:68@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 103952.95881971213  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 103952.95882        

        Parameter values: [-0.090050528289041365]
        Function value:   103539.3139368751
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 1       xk: array([-0.090050528289041])                                    
  fk: 102233.35377172791  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   -0.090051] fk: 104755.678584       

        Parameter values: [-0.00090039566652502789]
        Function value:   103952.87692967584
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 2       xk: array([-0.000900395666525])                                    
  fk: 103935.68379123099  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -0.0009004] fk: 103953.120143       

        Parameter values: [-4.5240478030038507e-06]
        Function value:   103952.95881559806
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([ -4.524047803003851e-06])                               
  fk: 103952.87201705055  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  -4.524e-06] fk: 103952.958828       

        Parameter values: [-1.139418877345045e-08]
        Function value:   103952.95881971209
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([ -1.139418877345045e-08])                               
  fk: 103952.9586010924   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.1394e-08] fk: 103952.95882        

        Parameter values: [-1.4366693684354689e-11]
        Function value:   103952.95881971215
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 5       xk: array([ -1.436669368435469e-11])                               
  fk: 103952.95881943649  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -1.4367e-11] fk: 103952.95882        

        Parameter values: [-9.0635085711832715e-15]
        Function value:   103952.95881971213
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 6       xk: array([ -9.063508571183272e-15])                               
  fk: 103952.95881971196  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [ -9.0635e-15] fk: 103952.95882        

        Parameter values: [-2.6851905473205003e-18]
        Function value:   103952.95881971213
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [-2.6851905473205003e-18]
Function value:   103952.95881971213
Iterations:       8
Function calls:   23
Gradient calls:   15
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:68@N', the 
optimised chi-squared value is lower than the current value (103952.95882 < 
None).


Fitting to spin '#1UBQ_H_mol1:69@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 11806.146546342896  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 11806.1465463       

        Parameter values: [0.083651018229731061]
        Function value:   11455.686051728248
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.083651018229731])                                    
  fk: 11942.321591482018  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.083651] fk: 11935.6393614       

        Parameter values: [6.9976672138815331e-05]
        Function value:   11806.146056259458
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  6.997667213881533e-05])                               
  fk: 11806.259971319709  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.9977e-05] fk: 11806.1475253       

        Parameter values: [2.9281075948915701e-08]
        Function value:   11806.146546342721
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  2.928107594891570e-08])                               
  fk: 11806.146593804329  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  2.9281e-08] fk: 11806.1465463       

        Parameter values: [6.1274770089932505e-12]
        Function value:   11806.146546342894
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  6.127477008993251e-12])                               
  fk: 11806.146546352826  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  6.1275e-12] fk: 11806.1465463       

        Parameter values: [6.4122725762245613e-16]
        Function value:   11806.146546342894
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.4122725762245613e-16]
Function value:   11806.146546342896
Iterations:       8
Function calls:   28
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:69@N', the 
optimised chi-squared value is lower than the current value (11806.1465463 < 
None).


Fitting to spin '#1UBQ_H_mol1:70@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 28732.672405598099  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 28732.6724056       

        Parameter values: [0.048891519730188085]
        Function value:   28612.475599748344
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.048891519730188])                                    
  fk: 28981.871761973856  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.048892] fk: 28916.5698431       

        Parameter values: [0.0001382355167343606]
        Function value:   28732.670489274096
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([ 0.000138235516734])                                    
  fk: 28733.375079086247  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  0.00013824] fk: 28732.676222        

        Parameter values: [1.9569969230659695e-07]
        Function value:   28732.672405590427
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.956996923065969e-07])                               
  fk: 28732.673400363627  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [   1.957e-07] fk: 28732.6724056       

        Parameter values: [1.3862391772410123e-10]
        Function value:   28732.672405598099
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.386239177241012e-10])                               
  fk: 28732.672406302743  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.3862e-10] fk: 28732.6724056       

        Parameter values: [6.9336516153095203e-11]
        Function value:   28732.672405598099
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.9336516153095203e-11]
Function value:   28732.672405950547
Iterations:       7
Function calls:   27
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:70@N', the 
optimised chi-squared value is lower than the current value (28732.672406 < 
None).


Fitting to spin '#1UBQ_H_mol1:71@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 7082.4673916693573  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 7082.46739167       

        Parameter values: [0.091068353230409696]
        Function value:   6667.4146880917679
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.09106835323041])                                     
  fk: 7163.4259723909308  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.091068] fk: 7161.43161454       

        Parameter values: [4.1757768539085142e-05]
        Function value:   7082.4672172182427
        Iterations:       3
        Function calls:   23
        Gradient calls:   4
        Hessian calls:    3
        Warning:          None


k: 2       xk: array([  4.175776853908514e-05])                               
  fk: 7082.5043394109671  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.1758e-05] fk: 7082.46774033       

        Parameter values: [9.5758352757833293e-09]
        Function value:   7082.46739166934
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.575835275783329e-09])                               
  fk: 7082.4674001421463  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.5758e-09] fk: 7082.46739167       

        Parameter values: [1.0980848625287539e-12]
        Function value:   7082.4673916693573
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  1.098084862528754e-12])                               
  fk: 7082.4673916703287  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.0981e-12] fk: 7082.46739167       

        Parameter values: [6.2932070852738958e-17]
        Function value:   7082.4673916693573
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [6.2932070852738958e-17]
Function value:   7082.4673916693573
Iterations:       9
Function calls:   39
Gradient calls:   14
Hessian calls:    9
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:71@N', the 
optimised chi-squared value is lower than the current value (7082.46739167 < 
None).


Fitting to spin '#1UBQ_H_mol1:72@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 14487.656119301671  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 14487.6561193       

        Parameter values: [0.081059057437684837]
        Function value:   14158.51745048221
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.081059057437685])                                    
  fk: 14640.579485224764  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.081059] fk: 14631.6105026       

        Parameter values: [7.5199882294770199e-05]
        Function value:   14487.655553274333
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  7.519988229477020e-05])                               
  fk: 14487.797423437227  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    7.52e-05] fk: 14487.6572498       

        Parameter values: [3.4898300226352246e-08]
        Function value:   14487.656119301426
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.489830022635225e-08])                               
  fk: 14487.656184876983  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.4898e-08] fk: 14487.6561193       

        Parameter values: [8.0995737469751662e-12]
        Function value:   14487.656119301673
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  8.099573746975166e-12])                               
  fk: 14487.656119316893  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.0996e-12] fk: 14487.6561193       

        Parameter values: [4.0502569080944191e-12]
        Function value:   14487.656119301673
        Iterations:       1
        Function calls:   4
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [4.0502569080944191e-12]
Function value:   14487.656119309284
Iterations:       8
Function calls:   29
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:72@N', the 
optimised chi-squared value is lower than the current value (14487.6561193 < 
None).


Fitting to spin '#1UBQ_H_mol1:73@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 31145.536170070463  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 31145.5361701       

        Parameter values: [0.078148209812104893]
        Function value:   30839.605760849936
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.078148209812105])                                    
  fk: 31315.730724129149  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.078148] fk: 31303.7932058       

        Parameter values: [7.3288531494028822e-05]
        Function value:   31145.535632445386
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  7.328853149402882e-05])                               
  fk: 31145.695243885839  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.3289e-05] fk: 31145.5372438       

        Parameter values: [3.4381648933464576e-08]
        Function value:   31145.536170070227
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  3.438164893346458e-08])                               
  fk: 31145.536244696093  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.4382e-08] fk: 31145.5361701       

        Parameter values: [8.0665768052208723e-12]
        Function value:   31145.53617007046
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  8.066576805220872e-12])                               
  fk: 31145.536170087969  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.0666e-12] fk: 31145.5361701       

        Parameter values: [9.4639004056796563e-16]
        Function value:   31145.53617007046
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [9.4639004056796563e-16]
Function value:   31145.536170070463
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:73@N', the 
optimised chi-squared value is lower than the current value (31145.5361701 < 
None).


Fitting to spin '#1UBQ_H_mol1:74@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 34838.352705323967  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 34838.3527053       

        Parameter values: [0.087137390340192328]
        Function value:   34458.306134897226
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.087137390340192])                                    
  fk: 34950.033798534198  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.087137] fk: 34945.8976304       

        Parameter values: [4.5918256264973478e-05]
        Function value:   34838.352494364168
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  4.591825626497348e-05])                               
  fk: 34838.411346376204  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.5918e-05] fk: 34838.3531269       

        Parameter values: [1.2101819579229283e-08]
        Function value:   34838.352705323938
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  1.210181957922928e-08])                               
  fk: 34838.352720778865  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.2102e-08] fk: 34838.3527053       

        Parameter values: [1.5949354143156952e-12]
        Function value:   34838.352705323967
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 4       xk: array([  1.594935414315695e-12])                               
  fk: 34838.352705326004  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  1.5949e-12] fk: 34838.3527053       

        Parameter values: [1.0513818092080923e-16]
        Function value:   34838.352705323967
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.0513818092080923e-16]
Function value:   34838.352705323967
Iterations:       7
Function calls:   26
Gradient calls:   12
Hessian calls:    7
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:74@N', the 
optimised chi-squared value is lower than the current value (34838.3527053 < 
None).


Fitting to spin '#1UBQ_H_mol1:75@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 48787.60976603139   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 48787.609766        

        Parameter values: [0.089392147502415253]
        Function value:   48387.736813751566
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.089392147502415])                                    
  fk: 48882.11048702104   
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.089392] fk: 48879.2973237       

        Parameter values: [3.6358705422030041e-05]
        Function value:   48787.609633782049
        Iterations:       2
        Function calls:   12
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  3.635870542203004e-05])                               
  fk: 48787.648070364921  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  3.6359e-05] fk: 48787.6100304       

        Parameter values: [7.3956404030229217e-09]
        Function value:   48787.609766031383
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  7.395640403022922e-09])                               
  fk: 48787.609773822776  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.3956e-09] fk: 48787.609766        

        Parameter values: [7.5224173022663796e-13]
        Function value:   48787.60976603139
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  7.522417302266380e-13])                               
  fk: 48787.609766032183  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  7.5224e-13] fk: 48787.609766        

        Parameter values: [3.8200145557775623e-17]
        Function value:   48787.60976603139
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [3.8200145557775623e-17]
Function value:   48787.60976603139
Iterations:       8
Function calls:   28
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:75@N', the 
optimised chi-squared value is lower than the current value (48787.609766 < 
None).


Fitting to spin '#1UBQ_H_mol1:76@N'
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~


Method of Multipliers
~~~~~~~~~~~~~~~~~~~~~

k: 0       xk: array([ 0.])                                                   
  fk: 155028.44578782615  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [           0] fk: 155028.445788       

        Parameter values: [0.041144390076256601]
        Function value:   154943.44626595682
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 1       xk: array([ 0.041144390076257])                                    
  fk: 155270.24712498204  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [    0.041144] fk: 155183.647554       

        Parameter values: [8.6459183900513409e-05]
        Function value:   155028.44503873299
        Iterations:       2
        Function calls:   13
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 2       xk: array([  8.645918390051341e-05])                               
  fk: 155028.95315201415  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  8.6459e-05] fk: 155028.447281       

        Parameter values: [9.0936489290406055e-08]
        Function value:   155028.44578782449
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


k: 3       xk: array([  9.093648929040605e-08])                               
  fk: 155028.44632146263  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  9.0936e-08] fk: 155028.445788       

        Parameter values: [4.7847989466791969e-11]
        Function value:   155028.44578782615
        Iterations:       2
        Function calls:   5
        Gradient calls:   3
        Hessian calls:    2
        Warning:          None


k: 4       xk: array([  4.784798946679197e-11])                               
  fk: 155028.44578810694  
Entering sub-algorithm.
        
        Newton minimisation
        ~~~~~~~~~~~~~~~~~~~
        Line search:  Backtracking line search.
        Hessian modification:  The Gill, Murray, and Wright modified Cholesky 
algorithm.

        k: 0        xk: [  4.7848e-11] fk: 155028.445788       

        Parameter values: [1.2591529237398408e-14]
        Function value:   155028.44578782615
        Iterations:       1
        Function calls:   3
        Gradient calls:   2
        Hessian calls:    1
        Warning:          None


Parameter values: [1.2591529237398408e-14]
Function value:   155028.44578782623
Iterations:       8
Function calls:   29
Gradient calls:   13
Hessian calls:    8
Warning:          None

Storing the optimisation results for the spin '#1UBQ_H_mol1:76@N', the 
optimised chi-squared value is lower than the current value (155028.445788 < 
None).

relax> results.write(file='results', dir='pipe_name', compress_type=1, 
force=True)
Opening the file 'm9\\results.bz2' for writing.

relax> state.save(state='save', dir=None, compress_type=1, force=True)
Opening the file 'save.bz2' for writing.

Attachment: results.bz2
Description: BZip2 compressed data


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