def correct_for_gamma_background(ws_name,first_spectrum,last_spectrum, sample_properties, g_log):
g_log.debug( "Evaluating the Gamma Background Correction.")
gamma_background_correction=sapi.CloneWorkspace(ws_name)
for spec in range(first_spectrum,last_spectrum+1):
ws_index=gamma_background_correction.getIndexFromSpectrumNumber(spec)
tmp_bkg, tmp_cor = sapi.VesuvioCalculateGammaBackground(
InputWorkspace=ws_name,ComptonFunction=sample_properties, WorkspaceIndexList=ws_index)
for bin in range(gamma_background_correction.blocksize()):
gamma_background_correction.dataY(ws_index)[bin]=tmp_bkg.dataY(0)[bin]
gamma_background_correction.dataE(ws_index)[bin]=0.
sapi.RenameWorkspace(InputWorkspace= "gamma_background_correction", OutputWorkspace = str(ws_name)+"_gamma_background")
safe_delete_ws("tmp_cor")
safe_delete_ws("tmp_bkg")
return
def _gamma_correction(self):
correction_background_ws = str(
self._correction_wsg) + "_GammaBackground"
fit_opts = parse_fit_options(
mass_values=self._masses,
profile_strs=self.getProperty("MassProfiles").value,
constraints_str=self.getProperty("IntensityConstraints").value)
params_dict = TableWorkspaceDictionaryFacade(
self.getProperty("FitParameters").value)
func_str = fit_opts.create_function_str(params_dict)
ms.VesuvioCalculateGammaBackground(
InputWorkspace=self._output_ws,
ComptonFunction=func_str,
BackgroundWorkspace=correction_background_ws,
CorrectedWorkspace='__corrected_dummy')
ms.DeleteWorkspace('__corrected_dummy')
return correction_background_ws