def _calibData(self, sam_ws, mon_ws):
sapi.MaskDetectors(Workspace=sam_ws,
DetectorList=self._dMask)
sapi.ModeratorTzeroLinear(InputWorkspace=sam_ws,
OutputWorkspace=sam_ws)
sapi.LoadParameterFile(Workspace=sam_ws,
Filename=pjoin(DEFAULT_CONFIG_DIR,
self._reflection["parameter_file"]))
sapi.ConvertUnits(InputWorkspace=sam_ws,
OutputWorkspace=sam_ws,
Target='Wavelength',
EMode='Indirect')
if self._MonNorm:
sapi.ModeratorTzeroLinear(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws)
sapi.Rebin(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Params='10')
sapi.ConvertUnits(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Target='Wavelength')
sapi.OneMinusExponentialCor(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
C='0.20749999999999999',
C1='0.001276')
sapi.Scale(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Factor='1e-06')
sapi.RebinToWorkspace(WorkspaceToRebin=sam_ws,
WorkspaceToMatch=mon_ws,
OutputWorkspace=sam_ws)
sapi.Divide(LHSWorkspace=sam_ws,
RHSWorkspace=mon_ws,
OutputWorkspace=sam_ws)
def _calibData(self, sam_ws, mon_ws):
api.MaskDetectors(Workspace=sam_ws, DetectorList=self._dMask)
#MaskedWorkspace='BASIS_MASK')
api.ModeratorTzeroLinear(InputWorkspace=sam_ws,\
OutputWorkspace=sam_ws)
api.LoadParameterFile(Workspace=sam_ws,
Filename=config.getInstrumentDirectory() +
'BASIS_silicon_111_Parameters.xml')
api.ConvertUnits(InputWorkspace=sam_ws,
OutputWorkspace=sam_ws,
Target='Wavelength',
EMode='Indirect')
if not self._noMonNorm:
api.ModeratorTzeroLinear(InputWorkspace=mon_ws,\
OutputWorkspace=mon_ws)
api.Rebin(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Params='10')
api.ConvertUnits(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Target='Wavelength')
api.OneMinusExponentialCor(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
C='0.20749999999999999',
C1='0.001276')
api.Scale(InputWorkspace=mon_ws,
OutputWorkspace=mon_ws,
Factor='9.9999999999999995e-07')
api.RebinToWorkspace(WorkspaceToRebin=sam_ws,
WorkspaceToMatch=mon_ws,
OutputWorkspace=sam_ws)
api.Divide(LHSWorkspace=sam_ws,
RHSWorkspace=mon_ws,
OutputWorkspace=sam_ws)
def _generate_flux_spectrum(self, run_set, sam_ws):
r"""
Retrieve the aggregate flux and create an spectrum of intensities
versus wavelength such that intensities will be similar for any
of the possible flux normalization types.
Parameters
----------
sam_ws: str
Name of aggregated sample workspace
Returns
-------
str
Name of aggregated flux workspace (output workspace)
"""
flux_binning = [1.5, 0.0005, 7.5] # wavelength binning
suffix = re.sub('[^0-9a-zA-Z]+', '_', self._flux_normalization_type)
flux_ws = tws(self._make_run_name(run_set[0]) + '_' + suffix)
if self._MonNorm:
self._sum_monitors(run_set, flux_ws)
rpf = self._elucidate_reflection_parameter_file(sam_ws)
sapi.LoadParameterFile(Workspace=flux_ws, Filename=rpf)
sapi.ModeratorTzeroLinear(InputWorkspace=flux_ws,
OutputWorkspace=flux_ws)
sapi.Rebin(InputWorkspace=flux_ws,
OutputWorkspace=flux_ws,
Params='10', # 10 microseconds TOF bin width
PreserveEvents=False)
sapi.ConvertUnits(InputWorkspace=flux_ws,
OutputWorkspace=flux_ws,
Target='Wavelength')
sapi.OneMinusExponentialCor(InputWorkspace=flux_ws,
OutputWorkspace=flux_ws,
C='0.20749999999999999',
C1='0.001276')
sapi.Scale(InputWorkspace=flux_ws, OutputWorkspace=flux_ws,
Factor='1e-06')
sapi.Rebin(InputWorkspace=flux_ws, OutputWorkspace=flux_ws,
Params=flux_binning)
else:
ws = mtd[sam_ws].getRun()
if self._flux_normalization_type == 'Proton Charge':
aggregate_flux = ws.getProtonCharge()
elif self._flux_normalization_type == 'Duration':
aggregate_flux = ws.getProperty('duration').value
# These factors ensure intensities typical of flux workspaces
# derived from monitor data
f = {'Proton Charge': 0.00874, 'Duration': 0.003333}
x = np.arange(flux_binning[0], flux_binning[2], flux_binning[1])
y = f[self._flux_normalization_type] * \
aggregate_flux * np.ones(len(x) - 1)
_flux_ws = sapi.CreateWorkspace(OutputWorkspace=flux_ws, DataX=x,
DataY=y, UnitX='Wavelength')
_flux_ws.setYUnit(mtd[sam_ws].YUnit())
return flux_ws