RE: [task #7415] Implement support for inversion-recovery R1 curve fitting -- November 30, 2014 - 04:04

Hi Edward,

thanks a ton.

I have been testing the inversion recovery with real data and it does really 
well, but I would have one more question.

How would I call the saturation recovery experiment in relax_fit.select_model?

Best,
Andras
________________________________________
From: Edward d Auvergne [NO-REPLY.INVALID-ADDRESS@xxxxxxx]
Sent: Saturday, November 29, 2014 7:33 PM
To: Edward d Auvergne; Boeszoermenyi, Andras; Sébastien Morin; 
sebastien@xxxxxxxxxxxxx; Troels E. Linnet; relax-devel@xxxxxxx
Subject: [task #7415] Implement support for inversion-recovery R1 curve 
fitting

Update of task #7415 (project relax):

                  Status:               Postponed => Completed
        Percent Complete:                     50% => 100%
             Open/Closed:                    Open => Closed

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Follow-up Comment #9:

This is now fully implemented in the relax trunk.  The system test
Relax_fit.test_inversion_recovery, based on the original inversion-recovery
branch and the relax_fit_exp_3param_inv_neg.py system test script, now passes.
 This demonstrates that the inversion recovery R1 curve-fitting is fully
functional.

The C code from the original branch was not used, as it was simpler to
duplicate the target_functions/exponential.c file to exponential_inv.c and
update function, gradient, and Hessian functions for the different curve type.
 The original code did not have gradient or Hessians implemented, as this is
relatively new for the curve-fitting analysis.

In addition, the saturation recovery model type has also been fully
implemented and a system test based on the attached files passes.

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