r20316 - /branches/relax_disp/specific_analyses/relax_disp/api.py -- July 16, 2013 - 09:50

Author: bugman
Date: Tue Jul 16 09:50:06 2013
New Revision: 20316

URL: http://svn.gna.org/viewcvs/relax?rev=20316&view=rev
Log:
Fix for the Monte Carlo simulations for the numeric dispersion models.

The back-calculation method was not correctly initialising the target 
function class.


Modified:
    branches/relax_disp/specific_analyses/relax_disp/api.py

Modified: branches/relax_disp/specific_analyses/relax_disp/api.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/relax_disp/specific_analyses/relax_disp/api.py?rev=20316&r1=20315&r2=20316&view=diff
==============================================================================
--- branches/relax_disp/specific_analyses/relax_disp/api.py (original)
+++ branches/relax_disp/specific_analyses/relax_disp/api.py Tue Jul 16 
09:50:06 2013
@@ -126,7 +126,7 @@
         values, errors, missing, frqs = return_r2eff_arrays(spins=[spin], 
spin_ids=[spin_id], fields=fields, field_count=field_count)
 
         # Initialise the relaxation dispersion fit functions.
-        model = Dispersion(model=spin.model, 
num_params=param_num(spins=[spin]), num_spins=1, num_frq=field_count, 
num_disp_points=cdp.dispersion_points, values=values, errors=errors, 
missing=missing, frqs=frqs, cpmg_frqs=return_cpmg_frqs(ref_flag=False), 
spin_lock_nu1=return_spin_lock_nu1(ref_flag=False), 
scaling_matrix=scaling_matrix)
+        model = Dispersion(model=spin.model, 
num_params=param_num(spins=[spin]), num_spins=1, num_frq=field_count, 
num_disp_points=cdp.dispersion_points, values=values, errors=errors, 
missing=missing, frqs=frqs, cpmg_frqs=return_cpmg_frqs(ref_flag=False), 
spin_lock_nu1=return_spin_lock_nu1(ref_flag=False), 
relax_time=cdp.relax_time_list[0], scaling_matrix=scaling_matrix)
 
         # Make a single function call.  This will cause back calculation and 
the data will be stored in the class instance.
         model.func(param_vector)