mailFwd: r21067 - /branches/relax_disp/target_functions/relax_disp.py


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Posted by Troels Emtekær Linnet on October 11, 2013 - 13:47:
Hi Edward.

lib/dispersion/mq_ns_cpmg_2site.py is missing.

Best
Troels


---------
[software@tomat software_relax_disp]$ svnversion
21067
[software@tomat software_relax_disp]$ ./relax
Traceback (most recent call last):
  File "./relax", line 4, in <module>
    import relax
  File "/sbinlab2/software/NMR-relax/relax_disp/relax.py", line 66, in 
<module>
    user_functions.initialise()
  File "/sbinlab2/software/NMR-relax/relax_disp/user_functions/__init__.py",
line 97, in initialise
    import user_functions.consistency_tests
  File 
"/sbinlab2/software/NMR-relax/relax_disp/user_functions/consistency_tests.py",
line 29, in <module>
    from specific_analyses.setup import consistency_tests_obj
  File "/sbinlab2/software/NMR-relax/relax_disp/specific_analyses/setup.py",
line 35, in <module>
    from specific_analyses.relax_disp.api import Relax_disp
  File 
"/sbinlab2/software/NMR-relax/relax_disp/specific_analyses/relax_disp/api.py",
line 48, in <module>
    from specific_analyses.relax_disp.optimisation import Disp_memo,
Disp_minimise_command, grid_search_setup
  File 
"/sbinlab2/software/NMR-relax/relax_disp/specific_analyses/relax_disp/optimisation.py",
line 40, in <module>
    from target_functions.relax_disp import Dispersion
  File 
"/sbinlab2/software/NMR-relax/relax_disp/target_functions/relax_disp.py",
line 38, in <module>
    from lib.dispersion.mq_ns_cpmg_2site import r2eff_mq_ns_cpmg_2site
ImportError: No module named mq_ns_cpmg_2site


Troels Emtekær Linnet



---------- Forwarded message ----------
From:  <edward@xxxxxxxxxxxxx>
Date: 2013/10/11
Subject: r21067 - /branches/relax_disp/target_functions/relax_disp.py
To: relax-commits@xxxxxxx


Author: bugman
Date: Fri Oct 11 09:43:11 2013
New Revision: 21067

URL: http://svn.gna.org/viewcvs/relax?rev=21067&view=rev
Log:
This time properly created the 'MQ NS CPMG 2-site' model target function.

This follows the tutorial for adding relaxation dispersion models at:
http://wiki.nmr-relax.com/Tutorial_for_adding_relaxation_dispersion_models_to_relax#The_target_function


Modified:
    branches/relax_disp/target_functions/relax_disp.py

Modified: branches/relax_disp/target_functions/relax_disp.py
URL: 
http://svn.gna.org/viewcvs/relax/branches/relax_disp/target_functions/relax_disp.py?rev=21067&r1=21066&r2=21067&view=diff
==============================================================================
--- branches/relax_disp/target_functions/relax_disp.py (original)
+++ branches/relax_disp/target_functions/relax_disp.py Fri Oct 11 09:43:11 
2013
@@ -35,6 +35,7 @@
 from lib.dispersion.lm63_3site import r2eff_LM63_3site
 from lib.dispersion.m61 import r1rho_M61
 from lib.dispersion.m61b import r1rho_M61b
+from lib.dispersion.mq_ns_cpmg_2site import r2eff_mq_ns_cpmg_2site
 from lib.dispersion.ns_cpmg_2site_3d import r2eff_ns_cpmg_2site_3D
 from lib.dispersion.ns_cpmg_2site_expanded import 
r2eff_ns_cpmg_2site_expanded
 from lib.dispersion.ns_cpmg_2site_star import r2eff_ns_cpmg_2site_star
@@ -44,7 +45,7 @@
 from lib.dispersion.tsmfk01 import r2eff_TSMFK01
 from lib.errors import RelaxError
 from target_functions.chi2 import chi2
-from specific_analyses.relax_disp.variables import EXP_TYPE_CPMG,
EXP_TYPE_MQ_CPMG, EXP_TYPE_MQ_R1RHO, EXP_TYPE_R1RHO, MODEL_CR72,
MODEL_CR72_FULL, MODEL_DPL94, MODEL_IT99, MODEL_LIST_CPMG,
MODEL_LIST_FULL, MODEL_LIST_MQ_CPMG, MODEL_LIST_MQ_R1RHO,
MODEL_LIST_R1RHO, MODEL_LM63, MODEL_LM63_3SITE, MODEL_M61, MODEL_M61B,
MODEL_NOREX, MODEL_NS_CPMG_2SITE_3D, MODEL_NS_CPMG_2SITE_3D_FULL,
MODEL_NS_CPMG_2SITE_EXPANDED, MODEL_NS_CPMG_2SITE_STAR,
MODEL_NS_CPMG_2SITE_STAR_FULL, MODEL_NS_R1RHO_2SITE, MODEL_R2EFF,
MODEL_TP02, MODEL_TSMFK01
+from specific_analyses.relax_disp.variables import EXP_TYPE_CPMG,
EXP_TYPE_MQ_CPMG, EXP_TYPE_MQ_R1RHO, EXP_TYPE_R1RHO, MODEL_CR72,
MODEL_CR72_FULL, MODEL_DPL94, MODEL_IT99, MODEL_LIST_CPMG,
MODEL_LIST_FULL, MODEL_LIST_MQ_CPMG, MODEL_LIST_MQ_R1RHO,
MODEL_LIST_R1RHO, MODEL_LM63, MODEL_LM63_3SITE, MODEL_M61, MODEL_M61B,
MODEL_MQ_NS_CPMG_2SITE, MODEL_NOREX, MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL,
MODEL_NS_R1RHO_2SITE, MODEL_R2EFF, MODEL_TP02, MODEL_TSMFK01


 class Dispersion:
@@ -75,6 +76,7 @@
             - 'NS CPMG 2-site star':  The reduced numerical solution
for the 2-site Bloch-McConnell equations for CPMG data using complex
conjugate matrices with R20A = R20B.
             - 'NS CPMG 2-site star full':  The full numerical
solution for the 2-site Bloch-McConnell equations for CPMG data using
complex conjugate matrices.
             - 'NS CPMG 2-site expanded':  The numerical solution for
the 2-site Bloch-McConnell equations for CPMG data expanded using
Maple by Nikolai Skrynnikov.
+            - 'MQ NS CPMG 2-site':  The reduced numerical solution
for the 2-site Bloch-McConnell equations for MQ CPMG data using 3D
magnetisation vectors with R20A = R20B.


         @keyword model:             The relaxation dispersion model to fit.
@@ -171,7 +173,7 @@

         # The spin and dependent parameters (phi_ex, dw, padw2).
         self.end_index.append(self.end_index[-1] + self.num_spins)
-        if model in [MODEL_IT99, MODEL_LM63_3SITE]:
+        if model in [MODEL_IT99, MODEL_LM63_3SITE, MODEL_MQ_NS_CPMG_2SITE]:
             self.end_index.append(self.end_index[-1] + self.num_spins)

         # Set up the matrices for the numerical solutions.
@@ -193,7 +195,7 @@
             self.r180x = r180x_3d()

         # This is a vector that contains the initial magnetizations
corresponding to the A and B state transverse magnetizations.
-        if model in [MODEL_NS_CPMG_2SITE_STAR, 
MODEL_NS_CPMG_2SITE_STAR_FULL]:
+        if model in [MODEL_MQ_NS_CPMG_2SITE,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL]:
             self.M0 = zeros(2, float64)
         if model in [MODEL_NS_CPMG_2SITE_3D, MODEL_NS_CPMG_2SITE_3D_FULL]:
             self.M0 = zeros(7, float64)
@@ -202,14 +204,14 @@
             self.M0 = zeros(6, float64)

         # Some other data structures for the analytical and numerical
solutions.
-        if model in [MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL,
MODEL_TSMFK01]:
+        if model in [MODEL_MQ_NS_CPMG_2SITE, MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL,
MODEL_TSMFK01]:
             # The tau_cpmg times.
             self.tau_cpmg = zeros(self.num_disp_points, float64)
             for i in range(self.num_disp_points):
                 self.tau_cpmg[i] = 0.25 / self.cpmg_frqs[i]

         # Some other data structures for the numerical solutions.
-        if model in [MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL]:
+        if model in [MODEL_MQ_NS_CPMG_2SITE, MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL]:
             # The matrix exponential power array.
             self.power = zeros(self.num_disp_points, int16)
             for i in range(self.num_disp_points):
@@ -221,8 +223,13 @@
             self.spin_lock_omega1_squared = self.spin_lock_omega1 ** 2

         # The inverted relaxation delay.
-        if model in [MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL,
MODEL_NS_R1RHO_2SITE]:
+        if model in [MODEL_MQ_NS_CPMG_2SITE, MODEL_NS_CPMG_2SITE_3D,
MODEL_NS_CPMG_2SITE_3D_FULL, MODEL_NS_CPMG_2SITE_EXPANDED,
MODEL_NS_CPMG_2SITE_STAR, MODEL_NS_CPMG_2SITE_STAR_FULL,
MODEL_NS_R1RHO_2SITE]:
             self.inv_relax_time = 1.0 / relax_time
+
+        # Special matrices for the multi-quantum CPMG 2-site numerical model.
+        if model == MODEL_MQ_NS_CPMG_2SITE:
+            self.m1 = zeros((2, 2), complex64)
+            self.m2 = zeros((2, 2), complex64)

         # Set up the model.
         if model == MODEL_NOREX:
@@ -259,6 +266,8 @@
             self.func = self.func_TP02
         if model == MODEL_NS_R1RHO_2SITE:
             self.func = self.func_ns_r1rho_2site
+        if model == MODEL_MQ_NS_CPMG_2SITE:
+            self.func = self.func_mq_ns_cpmg_2site


     def calc_CR72_chi2(self, R20A=None, R20B=None, dw=None, pA=None, 
kex=None):
@@ -786,6 +795,64 @@
         return chi2_sum


+    def func_mq_ns_cpmg_2site(self, params):
+        """Target function for the Ishima and Torchia (1999) 2-site
model for all timescales with pA >> pB.
+
+        @param params:  The vector of parameter values.
+        @type params:   numpy rank-1 float array
+        @return:        The chi-squared value.
+        @rtype:         float
+        """
+
+        # Scaling.
+        if self.scaling_flag:
+            params = dot(params, self.scaling_matrix)
+
+        # Unpack the parameter values.
+        R20 = params[:self.end_index[0]]
+        dw = params[self.end_index[0]:self.end_index[1]]
+        dwH = params[self.end_index[1]:self.end_index[2]]
+        pA = params[self.end_index[2]]
+        kex = params[self.end_index[2]+1]
+
+        # Once off parameter conversions.
+        pB = 1.0 - pA
+        k_BA = pA * kex
+        k_AB = pB * kex
+
+        # This is a vector that contains the initial magnetizations
corresponding to the A and B state transverse magnetizations.
+        self.M0[0] = pA
+        self.M0[1] = pB
+
+        # Initialise.
+        chi2_sum = 0.0
+
+        # Loop over the spins.
+        for spin_index in range(self.num_spins):
+            # Loop over the spectrometer frequencies.
+            for frq_index in range(self.num_frq):
+                # The R20 index.
+                r20_index = frq_index + spin_index*self.num_frq
+
+                # Convert dw from ppm to rad/s.
+                dw_frq = dw[spin_index] * self.frqs[spin_index, frq_index]
+                dwH_frq = dwH[spin_index] * self.frqs[spin_index, frq_index]
+
+                # Back calculate the R2eff values.
+                r2eff_mq_ns_cpmg_2site(M0=self.M0, m1=self.m1,
m2=self.m2, r20=R20[r20_index], pA=pA, pB=pB, dw=dw_frq, dwH=dwH_frq,
k_AB=k_AB, k_BA=k_BA, cpmg_frqs=self.cpmg_frqs,
back_calc=self.back_calc[spin_index, frq_index],
num_points=self.num_disp_points, power=self.power)
+
+                # For all missing data points, set the
back-calculated value to the measured values so that it has no effect
on the chi-squared value.
+                for point_index in range(self.num_disp_points):
+                    if self.missing[spin_index, frq_index, point_index]:
+                        self.back_calc[spin_index, frq_index,
point_index] = self.values[spin_index, frq_index, point_index]
+
+                # Calculate and return the chi-squared value.
+                chi2_sum += chi2(self.values[spin_index, frq_index],
self.back_calc[spin_index, frq_index], self.errors[spin_index,
frq_index])
+
+        # Return the total chi-squared value.
+        return chi2_sum
+
+
     def func_NOREX(self, params):
         """Target function for no exchange.



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