r22719 - /trunk/specific_analyses/n_state_model/parameter_object.py -- April 11, 2014 - 18:21

Author: bugman
Date: Fri Apr 11 18:21:46 2014
New Revision: 22719

URL: http://svn.gna.org/viewcvs/relax?rev=22719&view=rev
Log:
Fixes for the definitions of the N-state model analysis parameters.

This analysis does not use the CSA value, and the paramagnetic centre is a 
list, not a float.


Modified:
    trunk/specific_analyses/n_state_model/parameter_object.py

Modified: trunk/specific_analyses/n_state_model/parameter_object.py
URL: 
http://svn.gna.org/viewcvs/relax/trunk/specific_analyses/n_state_model/parameter_object.py?rev=22719&r1=22718&r2=22719&view=diff
==============================================================================
--- trunk/specific_analyses/n_state_model/parameter_object.py   (original)
+++ trunk/specific_analyses/n_state_model/parameter_object.py   Fri Apr 11 
18:21:46 2014
@@ -40,14 +40,13 @@
 
         # Add the base data.
         self._add_align_data()
-        self._add_csa()
 
         # Add up the model parameters.
         self._add('probs', scope='global', default=0.0, desc='The 
probabilities of each state', py_type=list, set='params', err=True, sim=True)
         self._add('alpha', scope='global', units='rad', default=0.0, 
desc='The alpha Euler angles (for the rotation of each state)', py_type=list, 
set='params', err=True, sim=True)
         self._add('beta', scope='global', units='rad', default=0.0, 
desc='The beta Euler angles (for the rotation of each state)', py_type=list, 
set='params', err=True, sim=True)
         self._add('gamma', scope='global', units='rad', default=0.0, 
desc='The gamma Euler angles (for the rotation of each state)', py_type=list, 
set='params', err=True, sim=True)
-        self._add('paramagnetic_centre', scope='global', units='Angstrom', 
desc='The paramagnetic centre', py_type=float, set='params', err=True, 
sim=True)
+        self._add('paramagnetic_centre', scope='global', units='Angstrom', 
desc='The paramagnetic centre', py_type=list, set='params', err=True, 
sim=True)
 
         # Add the minimisation data.
         self._add_min_data(min_stats_global=False, min_stats_spin=True)