Commit | Date | |
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[r25248]
by
tlinnet
Removal of unnecessary imports in specific_analyses.relax_disp.optimisation(). task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting. |
2014-08-25 13:27:51 | Tree |
[r25247]
by
tlinnet
Fix for missing imports. task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting. |
2014-08-25 13:27:49 | Tree |
[r25246]
by
tlinnet
Implemented first try to minimise with minfx in estimate_r2eff() function. task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting. |
2014-08-25 13:22:57 | Tree |
[r25245]
by
tlinnet
Split function to minimise with scipy.optimize.leastsq out in estimate_r2eff module. This is to prepare for implementing with minfx. |
2014-08-25 13:22:55 | Tree |
[r25244]
by
tlinnet
Isolated all code related to user function: relax_disp.r2eff_estimate() into independent module file. All has been isolated to: specific_analyses.relax_disp.estimate_r2eff. |
2014-08-25 11:27:43 | Tree |
[r25243]
by
tlinnet
Moved target function for curve fitting with scipy into specific_analyses.relax_disp.estimate_r2eff. This will later include the backend specific_analyses.relax_disp.optimisation.estimate_r2eff() The code in target_functions.relax_disp_curve_fit is a lot more than just a target function, so it doesn't really belong in this package. This is also to isolate this experimental feature. |
2014-08-25 11:27:41 | Tree |
[r25242]
by
tlinnet
Re-used the dependency check "scipy_module", since leastsq() has been part of Scipy since 2003. |
2014-08-25 10:31:52 | Tree |
[r25241]
by
tlinnet
Lowering precision in systemtest Relax_disp.test_r1rho_kjaergaard_missing_r1. This is R1 estimation with: MODEL_NS_R1RHO_2SITE. The lowering of precision is due different system precision. |
2014-08-25 10:26:21 | Tree |
[r25240]
by
tlinnet
Add dependency check for scipy.optimize.leastsq. task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting. |
2014-08-25 10:06:29 | Tree |
[r25239]
by
tlinnet
Added systemtest Relax_disp.test_estimate_r2eff_error(). This is to get insight in the error difference between 2000 monto carlo simulations and then scipy.optimize.leastsq. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 431.0. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 651.2. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 800.5. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 984.0. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 1341.1. R1rho at 799.8 MHz, for offset=118.078 ppm and dispersion point 1648.5. R1rho at 799.8 MHz, for offset=124.247 ppm and dispersion point 1341.1. R1rho at 799.8 MHz, for offset=130.416 ppm and dispersion point 800.5. R1rho at 799.8 MHz, for offset=130.416 ppm and dispersion point 1341.1. R1rho at 799.8 MHz, for offset=130.416 ppm and dispersion point 1648.5. R1rho at 799.8 MHz, for offset=142.754 ppm and dispersion point 800.5. R1rho at 799.8 MHz, for offset=142.754 ppm and dispersion point 1341.1. R1rho at 799.8 MHz, for offset=179.768 ppm and dispersion point 1341.1. R1rho at 799.8 MHz, for offset=241.459 ppm and dispersion point 1341.1. task #7822(https://gna.org/task/index.php?7822): Implement user function to estimate R2eff and associated errors for exponential curve fitting. |
2014-08-24 23:50:58 | Tree |