def _run_focus(input_workspace,
tof_output_name,
vanadium_integration_ws,
vanadium_curves_ws,
df_kwarg,
full_calib,
region_calib):
simple.NormaliseByCurrent(InputWorkspace=input_workspace, OutputWorkspace=input_workspace)
input_workspace /= vanadium_integration_ws
simple.ReplaceSpecialValues(InputWorkspace=input_workspace, OutputWorkspace=input_workspace, NaNValue=0,
InfinityValue=0)
simple.ApplyDiffCal(InstrumentWorkspace=input_workspace, CalibrationWorkspace=full_calib)
ws_d = simple.ConvertUnits(InputWorkspace=input_workspace, Target='dSpacing')
focused_sample = simple.DiffractionFocussing(InputWorkspace=ws_d, **df_kwarg)
curves_rebinned = simple.RebinToWorkspace(WorkspaceToRebin=vanadium_curves_ws, WorkspaceToMatch=focused_sample)
normalised = simple.Divide(LHSWorkspace=focused_sample, RHSWorkspace=curves_rebinned,
AllowDifferentNumberSpectra=True)
simple.ApplyDiffCal(InstrumentWorkspace=normalised, CalibrationWorkspace=region_calib)
dspacing_output_name = tof_output_name + "_dSpacing"
simple.CloneWorkspace(InputWorkspace=normalised, OutputWorkspace=dspacing_output_name)
simple.ConvertUnits(InputWorkspace=normalised, OutputWorkspace=tof_output_name, Target='TOF')
simple.DeleteWorkspace(curves_rebinned)
simple.DeleteWorkspace(focused_sample)
simple.DeleteWorkspace(normalised)
simple.DeleteWorkspace(ws_d)
def _focus_run_and_apply_roi_calibration(ws, calibration, ws_foc_name=None):
if not ws_foc_name:
ws_foc_name = ws.name(
) + "_" + FOCUSED_OUTPUT_WORKSPACE_NAME + calibration.get_foc_ws_suffix(
)
ws_foc = mantid.DiffractionFocussing(
InputWorkspace=ws,
OutputWorkspace=ws_foc_name,
GroupingWorkspace=calibration.get_group_ws())
mantid.ApplyDiffCal(InstrumentWorkspace=ws_foc, ClearCalibration=True)
ws_foc = mantid.ConvertUnits(InputWorkspace=ws_foc,
OutputWorkspace=ws_foc.name(),
Target='TOF')
mantid.ApplyDiffCal(
InstrumentWorkspace=ws_foc,
CalibrationWorkspace=calibration.get_calibration_table())
ws_foc = mantid.ConvertUnits(InputWorkspace=ws_foc,
OutputWorkspace=ws_foc.name(),
Target='dSpacing')
return ws_foc
def adjust_calibration(calibration_runs, instrument, offset_file_name,
grouping_file_name, calibration_dir, rebin_1_params,
rebin_2_params, cross_correlate_params,
get_det_offset_params, original_cal):
"""
Create a calibration file from (usually) a ceria run
:param calibration_runs: Run number(s) for this run
:param instrument: The GEM instrument object
:param offset_file_name: Name of the file to write detector offset information to
:param grouping_file_name: Name of grouping calibration file
:param calibration_dir: Path to directory containing calibration information
:param rebin_1_params: Parameters for the first rebin step (as a string in the usual format)
:param rebin_2_params: Parameters for the second rebin step (as a string in the usual format)
:param cross_correlate_params: Parameters for CrossCorrelate (as a dictionary PropertyName: PropertyValue)
:param get_det_offset_params: Parameters for GetDetectorOffsets (as a dictionary PropertyName: PropertyValue)
:param original_cal: path to calibration file to adjust
"""
input_ws_list = common.load_current_normalised_ws_list(
run_number_string=calibration_runs,
instrument=instrument,
input_batching=INPUT_BATCHING.Summed)
input_ws = input_ws_list[0]
mantid.ApplyDiffCal(InstrumentWorkspace=input_ws,
CalibrationFile=original_cal)
input_ws = mantid.ConvertUnits(InputWorkspace=input_ws, Target="dSpacing")
mantid.ApplyDiffCal(InstrumentWorkspace=input_ws, ClearCalibration=True)
offset_file = os.path.join(calibration_dir, offset_file_name)
focused = _calibration_processing(calibration_dir, calibration_runs,
cross_correlate_params,
get_det_offset_params,
grouping_file_name, input_ws, instrument,
offset_file, rebin_1_params,
rebin_2_params)
_adjust_cal_file(original_cal, offset_file)
return focused
def _load_run_and_convert_to_dSpacing(filepath, instrument, full_calib):
runno = path_handling.get_run_number_from_path(filepath, instrument)
ws = mantid.Load(Filename=filepath, OutputWorkspace=str(runno))
if ws.getRun().getProtonCharge() > 0:
ws = mantid.NormaliseByCurrent(InputWorkspace=ws,
OutputWorkspace=ws.name())
else:
logger.warning(f"Run {ws.name()} has invalid proton charge.")
mantid.DeleteWorkspace(ws)
return None
mantid.ApplyDiffCal(InstrumentWorkspace=ws,
CalibrationWorkspace=full_calib)
ws = mantid.ConvertUnits(InputWorkspace=ws,
OutputWorkspace=ws.name(),
Target='dSpacing')
return ws
def focus_and_make_van_curves(ceria_d, vanadium_d, grouping_kwarg):
# focus ceria
focused_ceria = simple.DiffractionFocussing(InputWorkspace=ceria_d, **grouping_kwarg)
simple.ApplyDiffCal(InstrumentWorkspace=focused_ceria, ClearCalibration=True)
tof_focused = simple.ConvertUnits(InputWorkspace=focused_ceria, Target='TOF')
# focus van data
focused_van = simple.DiffractionFocussing(InputWorkspace=vanadium_d, **grouping_kwarg)
background_van = simple.EnggEstimateFocussedBackground(InputWorkspace=focused_van, NIterations='15',
XWindow=0.03)
simple.DeleteWorkspace(focused_ceria)
simple.DeleteWorkspace(focused_van)
return tof_focused, background_van
def run_calibration(ceria_ws, calibration, full_instrument_cal_ws):
"""
Creates Engineering calibration files with PDCalibration
:param ceria_ws: The workspace with the ceria data.
:param bank: The bank to crop to, both if none.
:param calfile: The custom calibration file to crop to, not used if none.
:param spectrum_numbers: The spectrum numbers to crop to, no crop if none.
:return: dict containing calibrated diffractometer constants, and copy of the raw ceria workspace
"""
# initial process of ceria ws
mantid.NormaliseByCurrent(InputWorkspace=ceria_ws,
OutputWorkspace=ceria_ws)
mantid.ApplyDiffCal(InstrumentWorkspace=ceria_ws,
CalibrationWorkspace=full_instrument_cal_ws)
mantid.ConvertUnits(InputWorkspace=ceria_ws,
OutputWorkspace=ceria_ws,
Target='dSpacing')
# get grouping workspace and focus
grp_ws = calibration.get_group_ws() # (creates if doesn't exist)
focused_ceria = mantid.DiffractionFocussing(InputWorkspace=ceria_ws,
GroupingWorkspace=grp_ws)
mantid.ApplyDiffCal(
InstrumentWorkspace=focused_ceria,
ClearCalibration=True) # DIFC of detector in middle of bank
focused_ceria = mantid.ConvertUnits(InputWorkspace=focused_ceria,
Target='TOF')
# Run mantid.PDCalibration to fit peaks in TOF
foc_name = focused_ceria.name(
) # PDCal invalidates ptr during rebin so keep track of ws name
cal_table_name = "engggui_calibration_" + calibration.get_group_suffix()
diag_ws_name = "diag_" + calibration.get_group_suffix()
cal_table, diag_ws, mask = mantid.PDCalibration(
InputWorkspace=foc_name,
OutputCalibrationTable=cal_table_name,
DiagnosticWorkspaces=diag_ws_name,
PeakPositions=default_ceria_expected_peaks(final=True),
TofBinning=[12000, -0.0003, 52000],
PeakWindow=default_ceria_expected_peak_windows(final=True),
MinimumPeakHeight=0.5,
PeakFunction='BackToBackExponential',
CalibrationParameters='DIFC+TZERO+DIFA',
UseChiSq=True)
mantid.ApplyDiffCal(InstrumentWorkspace=foc_name,
CalibrationWorkspace=cal_table)
# warn user which spectra were unsuccessfully calibrated
focused_ceria = ADS.retrieve(foc_name)
masked_detIDs = mask.getMaskedDetectors()
for ispec in range(focused_ceria.getNumberHistograms()):
if focused_ceria.getSpectrum(
ispec).getDetectorIDs()[0] in masked_detIDs:
logger.warning(
f'mantid.PDCalibration failed for spectrum index {ispec} - proceeding with uncalibrated DIFC.'
)
# store cal_table in calibration
calibration.set_calibration_table(cal_table_name)
return focused_ceria, cal_table, diag_ws
def _focus_one_ws(input_workspace,
run_number,
instrument,
perform_vanadium_norm,
absorb,
sample_details,
vanadium_path,
empty_can_subtraction_method,
paalman_pings_events_per_point=None):
run_details = instrument._get_run_details(run_number_string=run_number)
if perform_vanadium_norm:
_test_splined_vanadium_exists(instrument, run_details)
# Subtract empty instrument runs, as long as this run isn't an empty, user hasn't turned empty subtraction off, or
# The user has not supplied a sample empty
is_run_empty = common.runs_overlap(run_number, run_details.empty_inst_runs)
summed_empty = None
if not is_run_empty and instrument.should_subtract_empty_inst(
) and not run_details.sample_empty:
if os.path.isfile(run_details.summed_empty_inst_file_path):
logger.warning('Pre-summed empty instrument workspace found at ' +
run_details.summed_empty_inst_file_path)
summed_empty = mantid.LoadNexus(
Filename=run_details.summed_empty_inst_file_path)
else:
summed_empty = common.generate_summed_runs(
empty_sample_ws_string=run_details.empty_inst_runs,
instrument=instrument)
elif run_details.sample_empty:
scale_factor = 1.0
if empty_can_subtraction_method != 'PaalmanPings':
scale_factor = instrument._inst_settings.sample_empty_scale
# Subtract a sample empty if specified ie empty can
summed_empty = common.generate_summed_runs(
empty_sample_ws_string=run_details.sample_empty,
instrument=instrument,
scale_factor=scale_factor)
if absorb and empty_can_subtraction_method == 'PaalmanPings':
if run_details.sample_empty: # need summed_empty including container
input_workspace = instrument._apply_paalmanpings_absorb_and_subtract_empty(
workspace=input_workspace,
summed_empty=summed_empty,
sample_details=sample_details,
paalman_pings_events_per_point=paalman_pings_events_per_point)
# Crop to largest acceptable TOF range
input_workspace = instrument._crop_raw_to_expected_tof_range(
ws_to_crop=input_workspace)
else:
raise TypeError(
"The PaalmanPings absorption method requires 'sample_empty' to be supplied."
)
else:
if summed_empty:
input_workspace = common.subtract_summed_runs(
ws_to_correct=input_workspace, empty_sample=summed_empty)
# Crop to largest acceptable TOF range
input_workspace = instrument._crop_raw_to_expected_tof_range(
ws_to_crop=input_workspace)
if absorb:
input_workspace = instrument._apply_absorb_corrections(
run_details=run_details, ws_to_correct=input_workspace)
else:
# Set sample material if specified by the user
if sample_details is not None:
mantid.SetSample(
InputWorkspace=input_workspace,
Geometry=sample_details.generate_sample_geometry(),
Material=sample_details.generate_sample_material())
# Align
mantid.ApplyDiffCal(InstrumentWorkspace=input_workspace,
CalibrationFile=run_details.offset_file_path)
aligned_ws = mantid.ConvertUnits(InputWorkspace=input_workspace,
Target="dSpacing")
solid_angle = instrument.get_solid_angle_corrections(
run_details.vanadium_run_numbers, run_details)
if solid_angle:
aligned_ws = mantid.Divide(LHSWorkspace=aligned_ws,
RHSWorkspace=solid_angle)
mantid.DeleteWorkspace(solid_angle)
# Focus the spectra into banks
focused_ws = mantid.DiffractionFocussing(
InputWorkspace=aligned_ws,
GroupingFileName=run_details.grouping_file_path)
instrument.apply_calibration_to_focused_data(focused_ws)
calibrated_spectra = _apply_vanadium_corrections(
instrument=instrument,
input_workspace=focused_ws,
perform_vanadium_norm=perform_vanadium_norm,
vanadium_splines=vanadium_path)
output_spectra = instrument._crop_banks_to_user_tof(calibrated_spectra)
bin_widths = instrument._get_instrument_bin_widths()
if bin_widths:
# Reduce the bin width if required on this instrument
output_spectra = common.rebin_workspace_list(
workspace_list=output_spectra, bin_width_list=bin_widths)
# Output
d_spacing_group, tof_group = instrument._output_focused_ws(
output_spectra, run_details=run_details)
common.keep_single_ws_unit(d_spacing_group=d_spacing_group,
tof_group=tof_group,
unit_to_keep=instrument._get_unit_to_keep())
# Tidy workspaces from Mantid
common.remove_intermediate_workspace(input_workspace)
common.remove_intermediate_workspace(aligned_ws)
common.remove_intermediate_workspace(focused_ws)
common.remove_intermediate_workspace(output_spectra)
return d_spacing_group
def ws_initial_process(ws):
"""Run some processing common to both the sample and vanadium workspaces"""
simple.NormaliseByCurrent(InputWorkspace=ws, OutputWorkspace=ws)
simple.ApplyDiffCal(InstrumentWorkspace=ws, CalibrationWorkspace=full_inst_calib)
simple.ConvertUnits(InputWorkspace=ws, OutputWorkspace=ws, Target='dSpacing')
return ws
def create_calibration(calibration_runs, instrument, offset_file_name,
grouping_file_name, calibration_dir, rebin_1_params,
rebin_2_params, cross_correlate_params,
get_det_offset_params, output_name):
"""
Create a calibration file from (usually) a ceria run
:param calibration_runs: Run number(s) for this run
:param instrument: The PEARL instrument object
:param offset_file_name: Name of the file to write detector offset information to
:param grouping_file_name: Name of grouping calibration file
:param calibration_dir: Path to directory containing calibration information
:param rebin_1_params: Parameters for the first rebin step (as a string in the usual format)
:param rebin_2_params: Parameters for the second rebin step (as a string in the usual format)
:param cross_correlate_params: Parameters for CrossCorrelate (as a dictionary PropertyName: PropertyValue)
:param get_det_offset_params: Parameters for GetDetectorOffsets (as a dictionary PropertyName: PropertyValue)
:param output_name: The name of the focused output workspace
"""
input_ws_list = common.load_current_normalised_ws_list(
run_number_string=calibration_runs,
instrument=instrument,
input_batching=INPUT_BATCHING.Summed)
input_ws = input_ws_list[0]
calibration_ws = mantid.Rebin(InputWorkspace=input_ws,
Params=rebin_1_params)
if calibration_ws.getAxis(
0).getUnit().unitID() != WORKSPACE_UNITS.d_spacing:
calibration_ws = mantid.ConvertUnits(InputWorkspace=calibration_ws,
Target="dSpacing")
rebinned = mantid.Rebin(InputWorkspace=calibration_ws,
Params=rebin_2_params)
cross_correlated = mantid.CrossCorrelate(InputWorkspace=rebinned,
**cross_correlate_params)
offset_file = os.path.join(calibration_dir, offset_file_name)
# Offsets workspace must be referenced as string so it can be deleted, as simpleapi doesn't recognise it as a ws
offsets_ws_name = "offsets"
mantid.GetDetectorOffsets(InputWorkspace=cross_correlated,
GroupingFileName=offset_file,
OutputWorkspace=offsets_ws_name,
**get_det_offset_params)
rebinned_tof = mantid.ConvertUnits(InputWorkspace=rebinned, Target="TOF")
mantid.ApplyDiffCal(InstrumentWorkspace=rebinned_tof,
CalibrationFile=offset_file)
aligned = mantid.ConvertUnits(InputWorkspace=rebinned_tof,
Target="dSpacing")
mantid.ApplyDiffCal(InstrumentWorkspace=aligned, ClearCalibration=True)
grouping_file = os.path.join(calibration_dir, grouping_file_name)
focused = mantid.DiffractionFocussing(InputWorkspace=aligned,
GroupingFileName=grouping_file,
OutputWorkspace=output_name)
common.remove_intermediate_workspace([
calibration_ws, rebinned, cross_correlated, rebinned_tof, aligned,
offsets_ws_name
])
return focused
def create_van(instrument, run_details, absorb):
"""
Creates a splined vanadium run for the following instrument. Requires the run_details for the
vanadium workspace we will process and whether to apply absorption corrections.
:param instrument: The instrument object that will be used to supply various instrument specific methods
:param run_details: The run details associated with this vanadium run
:param absorb: Boolean flag whether to apply absorption corrections
:return: Processed workspace group in dSpacing (but not splined)
"""
van = run_details.vanadium_run_numbers
# Always sum a range of inputs as its a vanadium run over multiple captures
input_van_ws_list = common.load_current_normalised_ws_list(
run_number_string=van,
instrument=instrument,
input_batching=INPUT_BATCHING.Summed)
input_van_ws = input_van_ws_list[
0] # As we asked for a summed ws there should only be one returned
instrument.create_solid_angle_corrections(input_van_ws, run_details)
if not (run_details.empty_runs is None):
summed_empty = common.generate_summed_runs(
empty_sample_ws_string=run_details.empty_runs,
instrument=instrument)
mantid.SaveNexus(Filename=run_details.summed_empty_file_path,
InputWorkspace=summed_empty)
corrected_van_ws = common.subtract_summed_runs(
ws_to_correct=input_van_ws, empty_sample=summed_empty)
# Crop the tail end of the data on PEARL if they are not capturing slow neutrons
corrected_van_ws = instrument._crop_raw_to_expected_tof_range(
ws_to_crop=corrected_van_ws)
if absorb:
corrected_van_ws = instrument._apply_absorb_corrections(
run_details=run_details, ws_to_correct=corrected_van_ws)
else:
# Assume that create_van only uses Vanadium runs
mantid.SetSampleMaterial(InputWorkspace=corrected_van_ws,
ChemicalFormula='V')
mantid.ApplyDiffCal(InstrumentWorkspace=corrected_van_ws,
CalibrationFile=run_details.offset_file_path)
aligned_ws = mantid.ConvertUnits(InputWorkspace=corrected_van_ws,
Target="dSpacing")
solid_angle = instrument.get_solid_angle_corrections(
run_details.run_number, run_details)
if solid_angle:
aligned_ws = mantid.Divide(LHSWorkspace=aligned_ws,
RHSWorkspace=solid_angle)
mantid.DeleteWorkspace(solid_angle)
focused_vanadium = mantid.DiffractionFocussing(
InputWorkspace=aligned_ws,
GroupingFileName=run_details.grouping_file_path)
# convert back to TOF based on engineered detector positions
mantid.ApplyDiffCal(InstrumentWorkspace=focused_vanadium,
ClearCalibration=True)
focused_spectra = common.extract_ws_spectra(focused_vanadium)
focused_spectra = instrument._crop_van_to_expected_tof_range(
focused_spectra)
d_spacing_group, tof_group = instrument._output_focused_ws(
processed_spectra=focused_spectra, run_details=run_details)
_create_vanadium_splines(focused_spectra, instrument, run_details)
common.keep_single_ws_unit(d_spacing_group=d_spacing_group,
tof_group=tof_group,
unit_to_keep=instrument._get_unit_to_keep())
common.remove_intermediate_workspace(corrected_van_ws)
common.remove_intermediate_workspace(aligned_ws)
common.remove_intermediate_workspace(focused_vanadium)
common.remove_intermediate_workspace(focused_spectra)
return d_spacing_group
def apply_calibration_to_focused_data(self, focused_ws):
# convert back to TOF based on engineered detector positions
mantid.ApplyDiffCal(InstrumentWorkspace=focused_ws,
ClearCalibration=True)
