Add ability to fit individually, globally, or both #63
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I've switched the minimizer used for the multifit from Steepest Descent to Levenberg Marquardt - this significantly improves the global E1 estimate for the case where invalid spectra haven't been excluded from the fit, and means that the system test no longer fails. |
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unpackaged/vesuvio_calibration/calibration_scripts/calibrate_vesuvio_analysis.py
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unpackaged/vesuvio_calibration/calibration_scripts/calibrate_vesuvio_fit.py
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| rel_tol_theta, rel_tol_L1 = self._extract_tolerances(deepcopy(tolerances)) | ||
| theta_errors = self._assert_theta_parameters_match_expected(params_table, rel_tol_theta) | ||
| L1_errors = self._assert_L1_parameters_match_expected(params_table, rel_tol_L1) | ||
| L1_errors = None | ||
| if fit_type != 'Shared': |
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Remind me, why can't we test L1 parameters if the fit is shared?
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I've tried writing tests for the global L1 values (which are calculated using the global E1 values), but found that the values didn't match the expected L1 parameters - I was going to bring this up with Matthew when we next speak to him to check that the global L1 values are being calculated in the correct way
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Ok sounds good, I'll take another look at this PR when I get a chance, we're currently in our release sprint so I have a bit of a to-do list!
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Thanks for the review @MialLewis - I've now addressed most of your comments and have pushed the changes I've made so far. I still need to add more tests, and will aim to get this done by the end of the week. |
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Description of work:
Add ability to specify whether peaks should be individually fit, globally fit, or both, as mentioned in #59
To do:
To test:
Run the calibration scripts with the different
SharedParameterFitTypeoptions:'Individual','Shared', and'Both'