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Commit Date  
[r21374] by bugman

Updates for the TODO section of the dispersion chapter of the user manual.

Some of the entries were rubbish!

2013-11-04 10:29:19 Tree
[r21373] by bugman

Updated the GLOVE details in the dispersion software comparison table in the manual.

2013-11-04 10:24:12 Tree
[r21372] by bugman

Added the chemex software to the dispersion chapter of the user manual.

2013-11-04 10:20:26 Tree
[r21371] by bugman

Added Dmitry Korzhnev's cpmg_fit software to the dispersion chapter of the manual.

This is in the last section of that chapter and in the software comparison table.

2013-11-04 10:13:35 Tree
[r21370] by bugman

Better organisation of the models by data type in the dispersion software comparison table in the manual.

2013-11-04 10:00:21 Tree
[r21369] by bugman

Added a header comment to the grace2images.py script to explain its dependence on Grace.

This is thanks to feedback from Nikolai Skrynnikov.

2013-11-04 08:14:09 Tree
[r21368] by bugman

The dispersion target function num_disp_points structure is now variable.

The number of points can now be different for each experiment type and each magnetic field strength.

2013-10-31 19:50:20 Tree
[r21367] by bugman

The return_cpmg_frqs() and return_spin_lock_nu1() dispersion functions now return lists of lists of arrays.

The dispersion data structures are now experiment and spectrometer frequency dependent. Therefore
the number of dispersion points can now be different for each.

2013-10-31 19:35:54 Tree
[r21366] by bugman

Conversion of the format of the relaxation dispersion R2eff/R1rho data structures.

These are now lists of lists of lists of numpy arrays instead of pure numpy rank-4 arrays. This
only affects a number of related data structures in the dispersion target function class. The main
purpose is to prepare to have a different number of dispersion points per experiment, per spin, and
per spectrometer frequency.

2013-10-31 18:49:54 Tree
[r21365] by bugman

Better MMQ data support for the dispersion specific loop_cluster() function.

For the models using proton-heteronuclear multi-multiple quantum data, proton spin containers are
now skipped as all the data will be analysed from the perspective of the heteronucleus.

2013-10-31 14:46:20 Tree
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