Author: semor Date: Thu Jan 8 16:19:09 2009 New Revision: 8335 URL: http://svn.gna.org/viewcvs/relax?rev=8335&view=rev Log: Changed the index name and description. This is as proposed by Ed in a post at: https://mail.gna.org/public/relax-devel/2009-01/msg00029.html (Message-id: <7f080ed10901080144u541e6ed5ve52d2d233f8d7cf7@xxxxxxxxxxxxxx>) The description might change later to be more appropriate when the code is more mature... Modified: branches/relax_disp/specific_fns/relax_disp.py Modified: branches/relax_disp/specific_fns/relax_disp.py URL: http://svn.gna.org/viewcvs/relax/branches/relax_disp/specific_fns/relax_disp.py?rev=8335&r1=8334&r2=8335&view=diff ============================================================================== --- branches/relax_disp/specific_fns/relax_disp.py (original) +++ branches/relax_disp/specific_fns/relax_disp.py Thu Jan 8 16:19:09 2009 @@ -135,14 +135,16 @@ return scaling_matrix - def back_calc(self, spin=None, cpmg_frq_index=None): + def back_calc(self, spin=None, result_index=None): """Back-calculation of peak intensity for the given CPMG pulse train frequency. @keyword spin: The spin container. @type spin: SpinContainer instance - @keyword cpmg_frq_index: The index for the desired CPMG pulse train frequency. - @type cpmg_frq_index: int - @return: The peak intensity for the desired CPMG pulse train frequency. + @keyword result_index: The index for the back-calculated data associated to every CPMG or + R1rho frequency, as well as every magnetic field frequency. + @type result_index: int + @return: The R2eff value associated to every CPMG or R1rho frequency, as + well as every magnetic field frequency. @rtype: float """ @@ -165,7 +167,7 @@ results = back_calc_I() # Return the correct peak height. - return results[cpmg_frq_index] + return results[result_index] def cpmg_frq(self, frq=0, spectrum_id=None): @@ -239,7 +241,7 @@ # Loop over the spectral time points. for j in xrange(len(cdp.cpmg_frqs)): # Back calculate the value. - value = self.back_calc(spin=spin, cpmg_frq_index=j) + value = self.back_calc(spin=spin, result_index=j) # Append the value. mc_data.append(value)