mailr24216 - /branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py


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Posted by tlinnet on June 20, 2014 - 17:54:
Author: tlinnet
Date: Fri Jun 20 17:54:33 2014
New Revision: 24216

URL: http://svn.gna.org/viewcvs/relax?rev=24216&view=rev
Log:
Documentation and input fix for ns mmq 2site. The m1 and m2 matrices are 
populated inside the lib function.

Task #7807 (https://gna.org/task/index.php?7807): Speed-up of dispersion 
models for Clustered analysis.

Modified:
    branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py

Modified: branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py?rev=24216&r1=24215&r2=24216&view=diff
==============================================================================
--- branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py     (original)
+++ branches/disp_spin_speed/lib/dispersion/ns_mmq_2site.py     Fri Jun 20 
17:54:33 2014
@@ -78,10 +78,6 @@
     @type M0:               numpy float64, rank-1, 7D array
     @keyword F_vector:      The observable magnitisation vector.  This 
defaults to [1, 0] for X observable magnitisation.
     @type F_vector:         numpy rank-1, 2D float64 array
-    @keyword m1:            A complex numpy matrix to be populated.
-    @type m1:               numpy rank-2, 2D complex64 array
-    @keyword m2:            A complex numpy matrix to be populated.
-    @type m2:               numpy rank-2, 2D complex64 array
     @keyword R20A:          The transverse, spin-spin relaxation rate for 
state A.
     @type R20A:             numpy float array of rank [NS][NM][NO][ND]
     @keyword R20B:          The transverse, spin-spin relaxation rate for 
state B.
@@ -229,7 +225,7 @@
                         back_calc[si, mi, oi, i]= -inv_tcpmg[si, mi, oi, i] 
* log(Mx / pA)
 
 
-def r2eff_ns_mmq_2site_sq_dq_zq(M0=None, F_vector=array([1, 0], float64), 
m1=None, m2=None, R20A=None, R20B=None, pA=None, dw=None, dwH=None, kex=None, 
inv_tcpmg=None, tcp=None, back_calc=None, num_points=None, power=None):
+def r2eff_ns_mmq_2site_sq_dq_zq(M0=None, F_vector=array([1, 0], float64), 
R20A=None, R20B=None, pA=None, dw=None, dwH=None, kex=None, inv_tcpmg=None, 
tcp=None, back_calc=None, num_points=None, power=None):
     """The 2-site numerical solution to the Bloch-McConnell equation for SQ, 
ZQ, and DQ data.
 
     The notation used here comes from:




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