def do_single_tf_fit(self, parameter_dict, output_workspace_group):
alg = mantid.AlgorithmManager.create("CalculateMuonAsymmetry")
output_workspace, fitting_parameters_table, function_object, output_status, output_chi_squared =\
run_CalculateMuonAsymmetry(parameter_dict, alg)
self._handle_single_fit_results(
parameter_dict['ReNormalizedWorkspaceList'], function_object,
fitting_parameters_table, output_workspace, output_workspace_group)
return function_object.clone(), output_status, output_chi_squared
def do_single_tf_fit(self, parameter_dict):
alg = mantid.AlgorithmManager.create("CalculateMuonAsymmetry")
output_workspace, fitting_parameters_table, function_object, output_status, output_chi_squared, covariance_matrix = \
run_CalculateMuonAsymmetry(parameter_dict, alg)
CopyLogs(InputWorkspace=parameter_dict['ReNormalizedWorkspaceList'], OutputWorkspace=output_workspace,
StoreInADS=False)
self._handle_single_fit_results(parameter_dict['ReNormalizedWorkspaceList'], function_object,
fitting_parameters_table, output_workspace, covariance_matrix)
return function_object, output_status, output_chi_squared
def do_simultaneous_tf_fit(self, parameter_dict, global_parameters):
alg = mantid.AlgorithmManager.create("CalculateMuonAsymmetry")
output_workspace, fitting_parameters_table, function_object, output_status, output_chi_squared, covariance_matrix = \
run_CalculateMuonAsymmetry(parameter_dict, alg)
if len(parameter_dict['ReNormalizedWorkspaceList']) > 1:
for input_workspace, output in zip(parameter_dict['ReNormalizedWorkspaceList'],
mantid.api.AnalysisDataService.retrieve(output_workspace).getNames()):
CopyLogs(InputWorkspace=input_workspace, OutputWorkspace=output, StoreInADS=False)
else:
CopyLogs(InputWorkspace=parameter_dict['ReNormalizedWorkspaceList'][0], OutputWorkspace=output_workspace,
StoreInADS=False)
self._handle_simultaneous_fit_results(parameter_dict['ReNormalizedWorkspaceList'], function_object,
fitting_parameters_table, output_workspace, global_parameters,
covariance_matrix)
return function_object, output_status, output_chi_squared
