def test_convert(self):
ws = Load(Filename='INTER00013460')
converter = ConvertToWavelength(ws)
monitor_ws, detector_ws = converter.convert(
wavelength_min=0.0,
wavelength_max=10.0,
detector_workspace_indexes=(2, 4),
monitor_workspace_index=0,
correct_monitor=True,
bg_min=2.0,
bg_max=8.0)
self.assertEqual(1, monitor_ws.getNumberHistograms(),
"Wrong number of spectra in monitor workspace")
self.assertEqual(3, detector_ws.getNumberHistograms(),
"Wrong number of spectra in detector workspace")
self.assertEqual("Wavelength",
detector_ws.getAxis(0).getUnit().unitID())
self.assertEqual("Wavelength",
monitor_ws.getAxis(0).getUnit().unitID())
x_min, x_max = ConvertToWavelengthTest.cropped_x_range(detector_ws, 0)
self.assertTrue(x_min >= 0.0)
self.assertTrue(x_max <= 10.0)
def test_convert(self):
ws = Load(Filename='INTER00013460')
converter = ConvertToWavelength(ws)
monitor_ws, detector_ws = converter.convert(wavelength_min=0.0, wavelength_max=10.0, detector_workspace_indexes = (2,4), monitor_workspace_index=0, correct_monitor=True, bg_min=2.0, bg_max=8.0)
self.assertEqual(1, monitor_ws.getNumberHistograms(), "Wrong number of spectra in monitor workspace")
self.assertEqual(3, detector_ws.getNumberHistograms(), "Wrong number of spectra in detector workspace")
self.assertEqual("Wavelength", detector_ws.getAxis(0).getUnit().unitID())
self.assertEqual("Wavelength", monitor_ws.getAxis(0).getUnit().unitID())
x_min, x_max = ConvertToWavelengthTest.cropped_x_range(detector_ws, 0)
self.assertTrue(x_min >= 0.0)
self.assertTrue(x_max <= 10.0)
def make_trans_corr(transrun, stitch_start_overlap, stitch_end_overlap, stitch_params,
lambda_min=None, lambda_max=None, background_min=None,
background_max=None, int_min=None, int_max=None, detector_index_ranges=None,
i0_monitor_index=None):
'''
Make the transmission correction workspace.
'''
# Check to see whether all optional inputs have been provide. If not we have to get them from the IDF.
if not all((lambda_min, lambda_max, background_min, background_max, int_min, int_max, detector_index_ranges, i0_monitor_index)):
logger.notice("make_trans_corr: Fetching missing arguments from the IDF")
instrument_source = transrun
if isinstance(transrun, str):
instrument_source = transrun.split(',')[0]
trans_ws = ConvertToWavelength.to_workspace(instrument_source)
idf_defaults = get_defaults(trans_ws)
# Fetch defaults for anything not specified
if not i0_monitor_index:
i0_monitor_index = idf_defaults['I0MonitorIndex']
if not lambda_min:
lambda_min = idf_defaults['LambdaMin']
if not lambda_max:
lambda_max = idf_defaults['LambdaMax']
if not detector_index_ranges:
point_detector_start = idf_defaults['PointDetectorStart']
point_detector_stop = idf_defaults['PointDetectorStop']
detector_index_ranges = (point_detector_start, point_detector_stop)
if not background_min:
background_min = idf_defaults['MonitorBackgroundMin']
if not background_max:
background_max = idf_defaults['MonitorBackgroundMax']
if not int_min:
int_min = idf_defaults['MonitorIntegralMin']
if not int_max:
int_max = idf_defaults['MonitorIntegralMax']
transWS = None
if isinstance(transrun, str) and (',' in transrun):
slam = transrun.split(',')[0]
llam = transrun.split(',')[1]
print "Transmission runs: ", transrun
to_lam = ConvertToWavelength(slam)
_monitor_ws_slam, _detector_ws_slam = to_lam.convert(wavelength_min=lambda_min, wavelength_max=lambda_max, detector_workspace_indexes=detector_index_ranges, monitor_workspace_index=i0_monitor_index, correct_monitor=True, bg_min=background_min, bg_max=background_max )
_i0p_slam = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_slam, WorkspaceToMatch=_detector_ws_slam)
_mon_int_trans = Integration(InputWorkspace=_i0p_slam, RangeLower=int_min, RangeUpper=int_max)
_detector_ws_slam = Divide(LHSWorkspace=_detector_ws_slam, RHSWorkspace=_mon_int_trans)
to_lam = ConvertToWavelength(llam)
_monitor_ws_llam, _detector_ws_llam = to_lam.convert(wavelength_min=lambda_min, wavelength_max=lambda_max, detector_workspace_indexes=detector_index_ranges, monitor_workspace_index=i0_monitor_index, correct_monitor=True, bg_min=background_min, bg_max=background_max )
_i0p_llam = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_llam, WorkspaceToMatch=_detector_ws_llam)
_mon_int_trans = Integration(InputWorkspace=_i0p_llam, RangeLower=int_min,RangeUpper=int_max)
_detector_ws_llam = Divide(LHSWorkspace=_detector_ws_llam, RHSWorkspace=_mon_int_trans)
print stitch_start_overlap, stitch_end_overlap, stitch_params
transWS, outputScaling = Stitch1D(LHSWorkspace=_detector_ws_slam, RHSWorkspace=_detector_ws_llam, StartOverlap=stitch_start_overlap,\
EndOverlap=stitch_end_overlap, Params=stitch_params)
transWS = RenameWorkspace(InputWorkspace=transWS, OutputWorkspace="TRANS_" + slam + "_" + llam)
else:
to_lam = ConvertToWavelength(transrun)
_monitor_ws_trans, _detector_ws_trans = to_lam.convert(wavelength_min=lambda_min, wavelength_max=lambda_max, detector_workspace_indexes=detector_index_ranges, monitor_workspace_index=i0_monitor_index, correct_monitor=True, bg_min=background_min, bg_max=background_max )
_i0p_trans = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_trans, WorkspaceToMatch=_detector_ws_trans)
_mon_int_trans = Integration( InputWorkspace=_i0p_trans, RangeLower=int_min, RangeUpper=int_max )
transWS = Divide( LHSWorkspace=_detector_ws_trans, RHSWorkspace=_mon_int_trans )
transWS = RenameWorkspace(InputWorkspace=transWS, OutputWorkspace="TRANS_" + transrun)
return transWS
def quick_explicit(run, i0_monitor_index, lambda_min, lambda_max, background_min, background_max, int_min, int_max,
point_detector_start=0, point_detector_stop=0, multi_detector_start=0, theta=None,
pointdet=True,roi=[0,0], db=[0,0], trans='', debug=False, correction_strategy=NullCorrectionStrategy(),
stitch_start_overlap=None, stitch_end_overlap=None, stitch_params=None,
polcorr=False, crho=None, calpha=None, cAp=None, cPp=None, detector_component_name='point-detector',
sample_component_name='some-surface-holder', correct_positions=True ):
'''
Version of quick where all parameters are explicitly provided.
'''
_sample_ws = ConvertToWavelength.to_single_workspace(run)
nHist = _sample_ws.getNumberHistograms()
to_lam = ConvertToWavelength(run)
if pointdet:
detector_index_ranges = (point_detector_start, point_detector_stop)
else:
detector_index_ranges = (multi_detector_start, nHist-1)
_monitor_ws, _detector_ws = to_lam.convert(wavelength_min=lambda_min, wavelength_max=lambda_max,
detector_workspace_indexes=detector_index_ranges,
monitor_workspace_index=i0_monitor_index, correct_monitor=True,
bg_min=background_min, bg_max=background_max )
inst = _sample_ws.getInstrument()
# Some beamline constants from IDF
print i0_monitor_index
print nHist
if run=='0':
RunNumber = '0'
else:
RunNumber = groupGet(_sample_ws.getName(),'samp','run_number')
if not pointdet:
# Proccess Multi-Detector; assume MD goes to the end:
# if roi or db are given in the function then sum over the apropriate channels
print "This is a multidetector run."
_I0M = RebinToWorkspace(WorkspaceToRebin=_monitor_ws,WorkspaceToMatch=_detector_ws)
IvsLam = _detector_ws / _I0M
if (roi != [0,0]) :
ReflectedBeam = SumSpectra(InputWorkspace=IvsLam, StartWorkspaceIndex=roi[0], EndWorkspaceIndex=roi[1])
if (db != [0,0]) :
DirectBeam = SumSpectra(InputWorkspace=_detector_ws, StartWorkspaceIndex=db[0], EndWorkspaceIndex=db[1])
ReflectedBeam = ReflectedBeam / DirectBeam
polCorr(polcorr, IvsLam, crho, calpha, cAp, cPp)
if theta and correct_positions:
IvsQ = l2q(ReflectedBeam, detector_component_name, theta, sample_component_name)
else:
IvsQ = ConvertUnits(InputWorkspace=ReflectedBeam, Target="MomentumTransfer")
# Single Detector processing-------------------------------------------------------------
else:
print "This is a Point-Detector run."
# handle transmission runs
# process the point detector reflectivity
_I0P = RebinToWorkspace(WorkspaceToRebin=_monitor_ws,WorkspaceToMatch=_detector_ws)
IvsLam = Scale(InputWorkspace=_detector_ws,Factor=1)
if not trans:
print "No transmission file. Trying default exponential/polynomial correction..."
IvsLam = correction_strategy.apply(_detector_ws)
IvsLam = Divide(LHSWorkspace=IvsLam, RHSWorkspace=_I0P)
else: # we have a transmission run
_monInt = Integration(InputWorkspace=_I0P,RangeLower=int_min,RangeUpper=int_max)
IvsLam = Divide(LHSWorkspace=_detector_ws,RHSWorkspace=_monInt)
names = mtd.getObjectNames()
IvsLam = transCorr(trans, IvsLam, lambda_min, lambda_max, background_min, background_max,
int_min, int_max, detector_index_ranges, i0_monitor_index, stitch_start_overlap,
stitch_end_overlap, stitch_params )
IvsLam = polCorr(polcorr, IvsLam, crho, calpha, cAp, cPp)
# Convert to I vs Q
# check if detector in direct beam
if theta == None or theta == 0 or theta == '':
inst = groupGet('IvsLam','inst')
detLocation=inst.getComponentByName(detector_component_name).getPos()
sampleLocation=inst.getComponentByName(sample_component_name).getPos()
detLocation=inst.getComponentByName(detector_component_name).getPos()
source=inst.getSource()
beamPos = sampleLocation - source.getPos()
theta = groupGet(str(_sample_ws),'samp','theta')
if not theta:
theta = inst.getComponentByName(detector_component_name).getTwoTheta(sampleLocation, beamPos)*180.0/math.pi/2.0
print "Det location: ", detLocation, "Calculated theta = ",theta
if correct_positions: # detector is not in correct place
# Get detector angle theta from NeXuS
logger.information('The detectorlocation is not at Y=0')
print 'Nexus file theta =', theta
IvsQ = l2q(IvsLam, detector_component_name, theta, sample_component_name)
else:
IvsQ = ConvertUnits(InputWorkspace=IvsLam,OutputWorkspace="IvsQ",Target="MomentumTransfer")
else:
if correct_positions:
theta = float(theta)
try:
IvsQ = l2q(IvsLam, detector_component_name, theta, sample_component_name)
except AttributeError:
logger.warning("detector_component_name " + detector_component_name + " is unknown")
IvsQ = ConvertUnits(InputWorkspace=IvsLam,OutputWorkspace="IvsQ",Target="MomentumTransfer")
else:
IvsQ = ConvertUnits(InputWorkspace=IvsLam,OutputWorkspace="IvsQ",Target="MomentumTransfer")
RenameWorkspace(InputWorkspace=IvsLam,OutputWorkspace=RunNumber+'_IvsLam')
if isinstance(IvsLam, WorkspaceGroup):
counter = 0
for ws in IvsLam:
RenameWorkspace(ws, OutputWorkspace=RunNumber+'_IvsLam_'+str(counter))
counter += 1
RenameWorkspace(InputWorkspace=IvsQ,OutputWorkspace=RunNumber+'_IvsQ')
# delete all temporary workspaces unless in debug mode (debug=1)
if not debug:
cleanup()
if mtd.doesExist('IvsLam'):
DeleteWorkspace('IvsLam')
return mtd[RunNumber+'_IvsLam'], mtd[RunNumber+'_IvsQ'], theta
def make_trans_corr(transrun,
stitch_start_overlap,
stitch_end_overlap,
stitch_params,
lambda_min=None,
lambda_max=None,
background_min=None,
background_max=None,
int_min=None,
int_max=None,
detector_index_ranges=None,
i0_monitor_index=None):
'''
Make the transmission correction workspace.
'''
# Check to see whether all optional inputs have been provide. If not we have to get them from the IDF.
if not all((lambda_min, lambda_max, background_min, background_max,
int_min, int_max, detector_index_ranges, i0_monitor_index)):
logger.notice(
"make_trans_corr: Fetching missing arguments from the IDF")
instrument_source = transrun
if isinstance(transrun, str):
instrument_source = transrun.split(',')[0]
trans_ws = ConvertToWavelength.to_workspace(instrument_source)
idf_defaults = get_defaults(trans_ws)
# Fetch defaults for anything not specified
if not i0_monitor_index:
i0_monitor_index = idf_defaults['I0MonitorIndex']
if not lambda_min:
lambda_min = idf_defaults['LambdaMin']
if not lambda_max:
lambda_max = idf_defaults['LambdaMax']
if not detector_index_ranges:
point_detector_start = idf_defaults['PointDetectorStart']
point_detector_stop = idf_defaults['PointDetectorStop']
detector_index_ranges = (point_detector_start, point_detector_stop)
if not background_min:
background_min = idf_defaults['MonitorBackgroundMin']
if not background_max:
background_max = idf_defaults['MonitorBackgroundMax']
if not int_min:
int_min = idf_defaults['MonitorIntegralMin']
if not int_max:
int_max = idf_defaults['MonitorIntegralMax']
transWS = None
if isinstance(transrun, str) and (',' in transrun):
slam = transrun.split(',')[0]
llam = transrun.split(',')[1]
print("Transmission runs: ", transrun)
to_lam = ConvertToWavelength(slam)
_monitor_ws_slam, _detector_ws_slam = to_lam.convert(
wavelength_min=lambda_min,
wavelength_max=lambda_max,
detector_workspace_indexes=detector_index_ranges,
monitor_workspace_index=i0_monitor_index,
correct_monitor=True,
bg_min=background_min,
bg_max=background_max)
_i0p_slam = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_slam,
WorkspaceToMatch=_detector_ws_slam)
_mon_int_trans = Integration(InputWorkspace=_i0p_slam,
RangeLower=int_min,
RangeUpper=int_max)
_detector_ws_slam = Divide(LHSWorkspace=_detector_ws_slam,
RHSWorkspace=_mon_int_trans)
to_lam = ConvertToWavelength(llam)
_monitor_ws_llam, _detector_ws_llam = to_lam.convert(
wavelength_min=lambda_min,
wavelength_max=lambda_max,
detector_workspace_indexes=detector_index_ranges,
monitor_workspace_index=i0_monitor_index,
correct_monitor=True,
bg_min=background_min,
bg_max=background_max)
_i0p_llam = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_llam,
WorkspaceToMatch=_detector_ws_llam)
_mon_int_trans = Integration(InputWorkspace=_i0p_llam,
RangeLower=int_min,
RangeUpper=int_max)
_detector_ws_llam = Divide(LHSWorkspace=_detector_ws_llam,
RHSWorkspace=_mon_int_trans)
print(stitch_start_overlap, stitch_end_overlap, stitch_params)
transWS, _outputScaling = Stitch1D(LHSWorkspace=_detector_ws_slam,
RHSWorkspace=_detector_ws_llam,
StartOverlap=stitch_start_overlap,
EndOverlap=stitch_end_overlap,
Params=stitch_params)
transWS = RenameWorkspace(InputWorkspace=transWS,
OutputWorkspace="TRANS_" + slam + "_" + llam)
else:
to_lam = ConvertToWavelength(transrun)
_monitor_ws_trans, _detector_ws_trans = to_lam.convert(
wavelength_min=lambda_min,
wavelength_max=lambda_max,
detector_workspace_indexes=detector_index_ranges,
monitor_workspace_index=i0_monitor_index,
correct_monitor=True,
bg_min=background_min,
bg_max=background_max)
_i0p_trans = RebinToWorkspace(WorkspaceToRebin=_monitor_ws_trans,
WorkspaceToMatch=_detector_ws_trans)
_mon_int_trans = Integration(InputWorkspace=_i0p_trans,
RangeLower=int_min,
RangeUpper=int_max)
transWS = Divide(LHSWorkspace=_detector_ws_trans,
RHSWorkspace=_mon_int_trans)
transWS = RenameWorkspace(InputWorkspace=transWS,
OutputWorkspace="TRANS_" + transrun)
return transWS
def quick_explicit(run,
i0_monitor_index,
lambda_min,
lambda_max,
background_min,
background_max,
int_min,
int_max,
point_detector_start=0,
point_detector_stop=0,
multi_detector_start=0,
theta=None,
pointdet=True,
roi=[0, 0],
db=[0, 0],
trans='',
debug=False,
correction_strategy=NullCorrectionStrategy(),
stitch_start_overlap=None,
stitch_end_overlap=None,
stitch_params=None,
polcorr=False,
crho=None,
calpha=None,
cAp=None,
cPp=None,
detector_component_name='point-detector',
sample_component_name='some-surface-holder',
correct_positions=True):
'''
Version of quick where all parameters are explicitly provided.
'''
_sample_ws = ConvertToWavelength.to_single_workspace(run)
nHist = _sample_ws.getNumberHistograms()
to_lam = ConvertToWavelength(run)
if pointdet:
detector_index_ranges = (point_detector_start, point_detector_stop)
else:
detector_index_ranges = (multi_detector_start, nHist - 1)
_monitor_ws, _detector_ws = to_lam.convert(
wavelength_min=lambda_min,
wavelength_max=lambda_max,
detector_workspace_indexes=detector_index_ranges,
monitor_workspace_index=i0_monitor_index,
correct_monitor=True,
bg_min=background_min,
bg_max=background_max)
inst = _sample_ws.getInstrument()
# Some beamline constants from IDF
print(i0_monitor_index)
print(nHist)
if run == '0':
RunNumber = '0'
else:
RunNumber = groupGet(_sample_ws.name(), 'samp', 'run_number')
if not pointdet:
# Proccess Multi-Detector; assume MD goes to the end:
# if roi or db are given in the function then sum over the apropriate channels
print("This is a multidetector run.")
_I0M = RebinToWorkspace(WorkspaceToRebin=_monitor_ws,
WorkspaceToMatch=_detector_ws)
IvsLam = _detector_ws / _I0M
if (roi != [0, 0]):
ReflectedBeam = SumSpectra(InputWorkspace=IvsLam,
StartWorkspaceIndex=roi[0],
EndWorkspaceIndex=roi[1])
if (db != [0, 0]):
DirectBeam = SumSpectra(InputWorkspace=_detector_ws,
StartWorkspaceIndex=db[0],
EndWorkspaceIndex=db[1])
ReflectedBeam = ReflectedBeam / DirectBeam
polCorr(polcorr, IvsLam, crho, calpha, cAp, cPp)
if theta and correct_positions:
IvsQ = l2q(ReflectedBeam, detector_component_name, theta,
sample_component_name)
else:
IvsQ = ConvertUnits(InputWorkspace=ReflectedBeam,
Target="MomentumTransfer")
# Single Detector processing-------------------------------------------------------------
else:
print("This is a Point-Detector run.")
# handle transmission runs
# process the point detector reflectivity
_I0P = RebinToWorkspace(WorkspaceToRebin=_monitor_ws,
WorkspaceToMatch=_detector_ws)
IvsLam = Scale(InputWorkspace=_detector_ws, Factor=1)
if not trans:
print(
"No transmission file. Trying default exponential/polynomial correction..."
)
IvsLam = correction_strategy.apply(_detector_ws)
IvsLam = Divide(LHSWorkspace=IvsLam, RHSWorkspace=_I0P)
else: # we have a transmission run
_monInt = Integration(InputWorkspace=_I0P,
RangeLower=int_min,
RangeUpper=int_max)
IvsLam = Divide(LHSWorkspace=_detector_ws, RHSWorkspace=_monInt)
IvsLam = transCorr(trans, IvsLam, lambda_min, lambda_max,
background_min, background_max, int_min,
int_max, detector_index_ranges,
i0_monitor_index, stitch_start_overlap,
stitch_end_overlap, stitch_params)
IvsLam = polCorr(polcorr, IvsLam, crho, calpha, cAp, cPp)
# Convert to I vs Q
# check if detector in direct beam
if theta is None or theta == 0 or theta == '':
inst = groupGet('IvsLam', 'inst')
detLocation = inst.getComponentByName(
detector_component_name).getPos()
sampleLocation = inst.getComponentByName(
sample_component_name).getPos()
detLocation = inst.getComponentByName(
detector_component_name).getPos()
source = inst.getSource()
beamPos = sampleLocation - source.getPos()
theta = groupGet(str(_sample_ws), 'samp', 'theta')
if not theta:
theta = inst.getComponentByName(
detector_component_name).getTwoTheta(
sampleLocation, beamPos) * 180.0 / math.pi / 2.0
print("Det location: ", detLocation, "Calculated theta = ", theta)
if correct_positions: # detector is not in correct place
# Get detector angle theta from NeXuS
logger.information('The detectorlocation is not at Y=0')
print('Nexus file theta =', theta)
IvsQ = l2q(IvsLam, detector_component_name, theta,
sample_component_name)
else:
IvsQ = ConvertUnits(InputWorkspace=IvsLam,
OutputWorkspace="IvsQ",
Target="MomentumTransfer")
else:
if correct_positions:
theta = float(theta)
try:
IvsQ = l2q(IvsLam, detector_component_name, theta,
sample_component_name)
except AttributeError:
logger.warning("detector_component_name " +
detector_component_name + " is unknown")
IvsQ = ConvertUnits(InputWorkspace=IvsLam,
OutputWorkspace="IvsQ",
Target="MomentumTransfer")
else:
IvsQ = ConvertUnits(InputWorkspace=IvsLam,
OutputWorkspace="IvsQ",
Target="MomentumTransfer")
RenameWorkspace(InputWorkspace=IvsLam,
OutputWorkspace=RunNumber + '_IvsLam')
if isinstance(IvsLam, WorkspaceGroup):
counter = 0
for ws in IvsLam:
RenameWorkspace(ws,
OutputWorkspace=RunNumber + '_IvsLam_' +
str(counter))
counter += 1
RenameWorkspace(InputWorkspace=IvsQ, OutputWorkspace=RunNumber + '_IvsQ')
# delete all temporary workspaces unless in debug mode (debug=1)
if not debug:
cleanup()
if mtd.doesExist('IvsLam'):
DeleteWorkspace('IvsLam')
return mtd[RunNumber + '_IvsLam'], mtd[RunNumber + '_IvsQ'], theta
