Exemple #1
0
 def runTest(self):
     loader = VesuvioLoadHelper('single',
                                'spectrum',
                                'Vesuvio_IP_file_test.par',
                                load_log_files=False)
     self._tof_input = VesuvioTOFFitInput('15039-15045', None, 'forward',
                                          loader)
Exemple #2
0
def fit_tof(runs, flags, iterations=1, convergence_threshold=None):
    # Retrieve vesuvio input data
    vesuvio_loader = VesuvioLoadHelper(
        flags['diff_mode'], flags['fit_mode'], flags['ip_file'],
        flags.get('bin_parameters', None),
        _extract_bool_from_flags('load_log_files', flags))
    vesuvio_input = VesuvioTOFFitInput(runs, flags.get('container_runs', None),
                                       flags.get('spectra', None),
                                       vesuvio_loader)

    if flags.get('ms_enabled', True):
        hydrogen_constraints = flags['ms_flags'].pop("HydrogenConstraints",
                                                     None)
        ms_helper = VesuvioMSHelper(**flags['ms_flags'])

        if hydrogen_constraints is not None:
            ms_helper.add_hydrogen_constraints(hydrogen_constraints)
    else:
        ms_helper = VesuvioMSHelper()

    intensity_string = _create_intensity_constraint_str(
        flags['intensity_constraints'])

    fit_helper = VesuvioTOFFitHelper(
        _create_background_str(flags.get('background', None)),
        intensity_string, _create_user_defined_ties_str(flags['masses']),
        flags.get('max_fit_iterations', 5000), flags['fit_minimizer'])

    corrections_helper = VesuvioCorrectionsHelper(
        _extract_bool_from_flags('gamma_correct', flags, False),
        _extract_bool_from_flags('ms_enabled', flags),
        flags.get('fixed_gamma_scaling', 0.0),
        flags.get('fixed_container_scaling', 0.0), intensity_string)

    create_mass_profile = _mass_profile_generator(MaterialBuilder())
    profiles = [create_mass_profile(profile) for profile in flags['masses']]
    mass_profile_collection = MassProfileCollection2D.from_collection(
        MassProfileCollection(profiles), vesuvio_input.spectra_number)

    fit_namer = VesuvioFitNamer.from_vesuvio_input(vesuvio_input,
                                                   flags['fit_mode'])

    vesuvio_fit_routine = VesuvioTOFFitRoutine(ms_helper, fit_helper,
                                               corrections_helper,
                                               mass_profile_collection,
                                               fit_namer)
    vesuvio_output, result, exit_iteration = vesuvio_fit_routine(
        vesuvio_input, iterations, convergence_threshold,
        _extract_bool_from_flags('output_verbose_corrections', flags, False),
        _extract_bool_from_flags('calculate_caad', flags, False))
    result = result if len(result) > 1 else result[0]
    return result, vesuvio_output.fit_parameters_workspace, vesuvio_output.chi2_values, exit_iteration