def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
threeNonnegativeInts = CompositeValidator()
threeNonnegativeInts.add(IntArrayLengthValidator(3))
nonnegativeInts = IntArrayBoundedValidator()
nonnegativeInts.setLower(0)
threeNonnegativeInts.add(nonnegativeInts)
self.declareProperty(
MatrixWorkspaceProperty(
Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator('Wavelength')),
doc='An input workspace (units wavelength) to be integrated.')
self.declareProperty(
MatrixWorkspaceProperty(Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='The integrated foreground divided by the summed direct beam.')
self.declareProperty(Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator(
[SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(
Prop.CLEANUP,
defaultValue=common.WSCleanup.ON,
validator=StringListValidator(
[common.WSCleanup.ON, common.WSCleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(Prop.SUM_TYPE,
defaultValue=SumType.IN_LAMBDA,
validator=StringListValidator(
[SumType.IN_LAMBDA, SumType.IN_Q]),
doc='Type of summation to perform.')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.DIRECT_FOREGROUND_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional,
validator=WorkspaceUnitValidator('Wavelength')),
doc=
'Summed direct beam workspace if output in reflectivity is required.'
)
self.declareProperty(
IntArrayProperty(Prop.FOREGROUND_INDICES,
values=[
Property.EMPTY_INT, Property.EMPTY_INT,
Property.EMPTY_INT
],
validator=threeNonnegativeInts),
doc=
'A three element array of foreground start, centre and end workspace indices.'
)
def PyInit(self):
self.declareProperty(ITableWorkspaceProperty('InputWorkspace', '', Direction.Input),
doc='Input table workspace.')
validator = IntArrayBoundedValidator()
validator.setLower(0)
self.declareProperty(
IntArrayProperty('ColumnIndices', values=[], direction=Direction.Input, validator=validator),
'Comma separated list of column indices for which statistics will be separated')
self.declareProperty(ITableWorkspaceProperty('OutputWorkspace', '', Direction.Output),
doc='Output workspace containing column statistics.')
def PyInit(self):
self.declareProperty(FileProperty('CalibrationRun', '', action=FileAction.Load, extensions=['nxs']),
doc='File path of calibration run. Must be a detector scan.')
self.declareProperty(FileProperty('CalibrationFile', '', action=FileAction.OptionalLoad, extensions=['nxs']),
doc='Optional file containing previous calibration constants.')
self.declareProperty(name='CalibrationMethod',
defaultValue='Median',
validator=StringListValidator(['Median', 'Mean', 'MostLikelyMean']),
doc='The method of how the calibration constant of a '
'pixel relative to the neighbouring one is derived.')
self.declareProperty(name='InterpolateOverlappingAngles', defaultValue=False,
doc='Wheter to interpolate 2theta values for overlapping regions between neighbouring cells.')
self.declareProperty(name='NormaliseTo',
defaultValue='None',
validator=StringListValidator(['None', 'Monitor', 'ROI']),
doc='Normalise to time, monitor or ROI counts before deriving the calibration.')
thetaRangeValidator = FloatArrayOrderedPairsValidator()
self.declareProperty(FloatArrayProperty(name='ROI', values=[0,100.], validator=thetaRangeValidator),
doc='Regions of interest for normalisation [in scattering angle in degrees].')
normaliseToROI = VisibleWhenProperty('NormaliseTo', PropertyCriterion.IsEqualTo, 'ROI')
self.setPropertySettings('ROI', normaliseToROI)
self.declareProperty(FloatArrayProperty(name='ExcludedRange', values=[], validator=thetaRangeValidator),
doc='2theta regions to exclude from the computation of relative calibration constants '
'[in scattering angle in degrees]. ')
pixelRangeValidator = CompositeValidator()
greaterThanOne = IntArrayBoundedValidator()
greaterThanOne.setLower(1)
lengthTwo = IntArrayLengthValidator()
lengthTwo.setLength(2)
orderedPairsValidator = IntArrayOrderedPairsValidator()
pixelRangeValidator.add(greaterThanOne)
pixelRangeValidator.add(lengthTwo)
pixelRangeValidator.add(orderedPairsValidator)
self.declareProperty(IntArrayProperty(name='PixelRange', values=[1,3072], validator=pixelRangeValidator),
doc='Range of the pixel numbers to compute the calibration factors for. '
'For the other pixels outside the range, the factor will be set to 1.')
self.declareProperty(MatrixWorkspaceProperty('OutputResponseWorkspace', '',
optional=PropertyMode.Optional, direction=Direction.Output),
doc='Output workspace containing the summed diffraction patterns of all the pixels.')
self.declareProperty(MatrixWorkspaceProperty('OutputWorkspace', '',
direction=Direction.Output),
doc='Output workspace containing the detector efficiencies for each pixel.')
def PyInit(self):
self.declareProperty(ITableWorkspaceProperty('InputWorkspace', '',
Direction.Input),
doc='Input table workspace.')
validator = IntArrayBoundedValidator()
validator.setLower(0)
self.declareProperty(
IntArrayProperty('ColumnIndices',
values=[],
direction=Direction.Input,
validator=validator),
'Comma separated list of column indices for which statistics will be separated'
)
self.declareProperty(
ITableWorkspaceProperty('OutputWorkspace', '', Direction.Output),
doc='Output workspace containing column statistics.')
def PyInit(self):
self.declareProperty(
FileProperty('Directory', '', action=FileAction.Directory),
doc='Path to directory containing data files for logging.')
self.declareProperty(ITableWorkspaceProperty(
'OutputWorkspace', '', direction=Direction.Output),
doc='The output table workspace.')
self.declareProperty(
"NumorRange", [0, 0],
direction=Direction.Input,
validator=IntArrayBoundedValidator(lower=0),
doc=
'Numor range or a list of numors to be analysed in the directory.')
facilities = StringListValidator(list(config.getFacilityNames()))
self.declareProperty(name='Facility',
defaultValue='ILL',
validator=facilities,
direction=Direction.Input,
doc='Facility the data belongs to.')
self.declareProperty(
'Instrument',
'',
validator=StringMandatoryValidator(),
direction=Direction.Input,
doc='Instrument the data has been collected with.')
self.declareProperty(FileProperty('OutputFile',
'',
extensions=".csv",
action=FileAction.OptionalSave),
doc='Comma-separated output file.')
self.declareProperty(
'OptionalHeaders',
'',
doc=
'Names of optional metadata to be included in the logbook. Entries need to be specified'
'in the instrument IPF.')
self.declareProperty(
'CustomEntries',
'',
doc=
'Custom NeXus paths for additional metadata to be included in the logbook.'
)
self.declareProperty('CustomHeaders',
'',
doc='Names of those additional custom entries.')
def PyInit(self):
validator = IntArrayBoundedValidator()
validator.setLower(0)
self.declareProperty(IntArrayProperty("RunNumbers", values=[0], direction=Direction.Input,
validator=validator),
"Run numbers to process, comma separated")
self.declareProperty("LiveData", False,
"Read live data - requires a saved run in the current IPTS "
+ "with the same Instrument configuration as the live run")
mask = ["None", "Horizontal", "Vertical",
"Masking Workspace", "Custom - xml masking file"]
self.declareProperty("Masking", "None", StringListValidator(mask),
"Mask to be applied to the data")
self.declareProperty(WorkspaceProperty("MaskingWorkspace", "",
Direction.Input, PropertyMode.Optional),
"The workspace containing the mask.")
self.declareProperty(FileProperty(name="MaskingFilename", defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the xml mask.")
self.declareProperty(name="Calibration", defaultValue="Convert Units",
validator=StringListValidator(
['Convert Units', 'Calibration File', 'DetCal File']),
direction=Direction.Input,
doc="The type of conversion to d_spacing to be used.")
self.declareProperty(FileProperty(name="CalibrationFilename", defaultValue="",
extensions=['.h5', '.cal'],
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The calibration file to convert to d_spacing.")
self.declareProperty(MultipleFileProperty(name='DetCalFilename',
extensions=['.detcal'], action=FileAction.OptionalLoad),
'ISAW DetCal file')
self.declareProperty(FloatArrayProperty("Binning", [0.5, -0.004, 7.0]),
"Min, Step, and Max of d-space bins. Logarithmic binning is used if Step is negative.")
nor_corr = ["None", "From Workspace",
"From Processed Nexus", "Extracted from Data"]
self.declareProperty("Normalization", "None", StringListValidator(nor_corr),
"If needed what type of input to use as normalization, Extracted from "
+ "Data uses a background determination that is peak independent.This "
+ "implemantation can be tested in algorithm SNAP Peak Clipping Background")
self.declareProperty(FileProperty(name="NormalizationFilename", defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the processed nexus for normalization.")
self.declareProperty(WorkspaceProperty("NormalizationWorkspace", "",
Direction.Input, PropertyMode.Optional),
"The workspace containing the normalization data.")
self.declareProperty("PeakClippingWindowSize", 10,
"Read live data - requires a saved run in the current "
+ "IPTS with the same Instrumnet configuration")
self.declareProperty("SmoothingRange", 10,
"Read live data - requires a saved run in the "
+ "current IPTS with the same Instrumnet configuration")
grouping = ["All", "Column", "Banks", "Modules", "2_4 Grouping"]
self.declareProperty("GroupDetectorsBy", "All", StringListValidator(grouping),
"Detector groups to use for future focussing: "
+ "All detectors as one group, Groups (East,West for "
+ "SNAP), Columns for SNAP, detector banks")
mode = ["Set-Up", "Production"]
self.declareProperty("ProcessingMode", "Production", StringListValidator(mode),
"Set-Up Mode is used for establishing correct parameters. Production "
+ "Mode only Normalized workspace is kept for each run.")
self.declareProperty(name="OptionalPrefix", defaultValue="",
direction=Direction.Input,
doc="Optional Prefix to be added to workspaces and output filenames")
self.declareProperty("SaveData", False,
"Save data in the following formats: Ascii- "
+ "d-spacing ,Nexus Processed,GSAS and Fullprof")
self.declareProperty(FileProperty(name="OutputDirectory", defaultValue="",
action=FileAction.OptionalDirectory),
doc='Default value is proposal shared directory')
def PyInit(self):
"""Initialize the algorithm's input and output properties."""
PROPGROUP_BEAM_STOP_DIAGNOSTICS = 'Beam Stop Diagnostics'
PROPGROUP_BKG_DIAGNOSTICS = 'Background Diagnostics'
PROPGROUP_PEAK_DIAGNOSTICS = 'Elastic Peak Diagnostics'
PROPGROUP_USER_MASK = 'Additional Masking'
greaterThanUnityFloat = FloatBoundedValidator(lower=1)
inputWorkspaceValidator = CompositeValidator()
inputWorkspaceValidator.add(InstrumentValidator())
inputWorkspaceValidator.add(WorkspaceUnitValidator('TOF'))
positiveFloat = FloatBoundedValidator(lower=0)
positiveIntArray = IntArrayBoundedValidator()
positiveIntArray.setLower(0)
scalingFactor = FloatBoundedValidator(lower=0, upper=1)
# Properties.
self.declareProperty(
MatrixWorkspaceProperty(name=common.PROP_INPUT_WS,
defaultValue='',
validator=inputWorkspaceValidator,
direction=Direction.Input),
doc=
"A 'raw' workspace from DirectILLCollectData to calculate the diagnostics from."
)
self.declareProperty(WorkspaceProperty(name=common.PROP_OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='A diagnostics mask workspace.')
self.declareProperty(name=common.PROP_CLEANUP_MODE,
defaultValue=common.CLEANUP_ON,
validator=StringListValidator(
[common.CLEANUP_ON, common.CLEANUP_OFF]),
direction=Direction.Input,
doc='What to do with intermediate workspaces.')
self.declareProperty(
name=common.PROP_SUBALG_LOGGING,
defaultValue=common.SUBALG_LOGGING_OFF,
validator=StringListValidator(
[common.SUBALG_LOGGING_OFF, common.SUBALG_LOGGING_ON]),
direction=Direction.Input,
doc='Enable or disable subalgorithms to ' + 'print in the logs.')
self.declareProperty(
ITableWorkspaceProperty(name=common.PROP_EPP_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='Table workspace containing results from the FindEPP algorithm.'
)
self.declareProperty(name=common.PROP_ELASTIC_PEAK_DIAGNOSTICS,
defaultValue=common.ELASTIC_PEAK_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.ELASTIC_PEAK_DIAGNOSTICS_AUTO,
common.ELASTIC_PEAK_DIAGNOSTICS_ON,
common.ELASTIC_PEAK_DIAGNOSTICS_OFF
]),
direction=Direction.Input,
doc='Enable or disable elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_ELASTIC_PEAK_DIAGNOSTICS,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_ELASTIC_PEAK_SIGMA_MULTIPLIER,
defaultValue=3.0,
validator=positiveFloat,
direction=Direction.Input,
doc="Integration half width of the elastic peak in multiples " +
" of 'Sigma' in the EPP table.")
self.setPropertyGroup(common.PROP_ELASTIC_PEAK_SIGMA_MULTIPLIER,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_PEAK_DIAGNOSTICS_LOW_THRESHOLD,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc='Multiplier for lower acceptance limit ' +
'used in elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_LOW_THRESHOLD,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_PEAK_DIAGNOSTICS_HIGH_THRESHOLD,
defaultValue=Property.EMPTY_DBL,
validator=greaterThanUnityFloat,
direction=Direction.Input,
doc='Multiplier for higher acceptance limit ' +
'used in elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_HIGH_THRESHOLD,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_PEAK_DIAGNOSTICS_SIGNIFICANCE_TEST,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc=
'To fail the elastic peak diagnostics, the intensity must also exceed '
+
'this number of error bars with respect to the median intensity.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_SIGNIFICANCE_TEST,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS,
defaultValue=common.BKG_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.BKG_DIAGNOSTICS_AUTO,
common.BKG_DIAGNOSTICS_ON,
common.BKG_DIAGNOSTICS_OFF
]),
direction=Direction.Input,
doc='Control the background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_BKG_SIGMA_MULTIPLIER,
defaultValue=10.0,
validator=positiveFloat,
direction=Direction.Input,
doc=
"Width of the range excluded from background integration around " +
"the elastic peaks in multiplies of 'Sigma' in the EPP table")
self.setPropertyGroup(common.PROP_BKG_SIGMA_MULTIPLIER,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS_LOW_THRESHOLD,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc='Multiplier for lower acceptance limit ' +
'used in noisy background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_LOW_THRESHOLD,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS_HIGH_THRESHOLD,
defaultValue=Property.EMPTY_DBL,
validator=greaterThanUnityFloat,
direction=Direction.Input,
doc='Multiplier for higher acceptance limit ' +
'used in noisy background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_HIGH_THRESHOLD,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_BKG_DIAGNOSTICS_SIGNIFICANCE_TEST,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc=
'To fail the background diagnostics, the background level must also exceed '
+ 'this number of error bars with respect to the median level.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_SIGNIFICANCE_TEST,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BEAM_STOP_DIAGNOSTICS,
defaultValue=common.BEAM_STOP_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.BEAM_STOP_DIAGNOSTICS_AUTO,
common.BEAM_STOP_DIAGNOSTICS_ON,
common.BEAM_STOP_DIAGNOSTICS_OFF
]),
direction=Direction.Input,
doc='Control the beam stop diagnostics.')
self.setPropertyGroup(common.PROP_BEAM_STOP_DIAGNOSTICS,
PROPGROUP_BEAM_STOP_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_BEAM_STOP_THRESHOLD,
defaultValue=0.67,
validator=scalingFactor,
direction=Direction.Input,
doc=
'Multiplier for the lower acceptance limit for beam stop diagnostics.'
)
self.setPropertyGroup(common.PROP_BEAM_STOP_THRESHOLD,
PROPGROUP_BEAM_STOP_DIAGNOSTICS)
self.declareProperty(
name=common.PROP_DEFAULT_MASK,
defaultValue=common.DEFAULT_MASK_ON,
validator=StringListValidator(
[common.DEFAULT_MASK_ON, common.DEFAULT_MASK_OFF]),
direction=Direction.Input,
doc='Enable or disable instrument specific default mask.')
self.declareProperty(IntArrayProperty(name=common.PROP_USER_MASK,
values='',
validator=positiveIntArray,
direction=Direction.Input),
doc='List of spectra to mask.')
self.setPropertyGroup(common.PROP_USER_MASK, PROPGROUP_USER_MASK)
self.declareProperty(StringArrayProperty(
name=common.PROP_USER_MASK_COMPONENTS,
values='',
direction=Direction.Input),
doc='List of instrument components to mask.')
self.setPropertyGroup(common.PROP_USER_MASK_COMPONENTS,
PROPGROUP_USER_MASK)
# Rest of the output properties
self.declareProperty(
ITableWorkspaceProperty(
name=common.PROP_OUTPUT_DIAGNOSTICS_REPORT_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output table workspace for detector diagnostics reporting.')
self.setPropertyGroup(common.PROP_OUTPUT_DIAGNOSTICS_REPORT_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(name=common.PROP_OUTPUT_DIAGNOSTICS_REPORT,
defaultValue='',
direction=Direction.Output,
doc='Diagnostics report as a string.')
self.setPropertyGroup(common.PROP_OUTPUT_DIAGNOSTICS_REPORT,
common.PROPGROUP_OPTIONAL_OUTPUT)
def PyInit(self):
"""Initialize the algorithm's input and output properties."""
PROPGROUP_FLAT_BKG = 'Flat Time-Independent Background'
PROPGROUP_INCIDENT_ENERGY_CALIBRATION = 'Indicent Energy Calibration'
PROPGROUP_MON_NORMALISATION = 'Neutron Flux Normalisation'
# Validators.
mandatoryPositiveInt = CompositeValidator()
mandatoryPositiveInt.add(IntMandatoryValidator())
mandatoryPositiveInt.add(IntBoundedValidator(lower=0))
positiveFloat = FloatBoundedValidator(lower=0)
positiveInt = IntBoundedValidator(lower=0)
positiveIntArray = IntArrayBoundedValidator()
positiveIntArray.setLower(0)
inputWorkspaceValidator = CompositeValidator()
inputWorkspaceValidator.add(InstrumentValidator())
inputWorkspaceValidator.add(WorkspaceUnitValidator('TOF'))
# Properties.
self.declareProperty(MultipleFileProperty(name=common.PROP_INPUT_FILE,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='An input run number (or a list thereof) or a filename.')
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_INPUT_WS,
defaultValue='',
validator=inputWorkspaceValidator,
optional=PropertyMode.Optional,
direction=Direction.Input),
doc='Input workspace if no run is given.')
self.declareProperty(WorkspaceProperty(name=common.PROP_OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='A flux normalized and background subtracted workspace.')
self.declareProperty(name=common.PROP_CLEANUP_MODE,
defaultValue=common.CLEANUP_ON,
validator=StringListValidator([
common.CLEANUP_ON,
common.CLEANUP_OFF]),
direction=Direction.Input,
doc='What to do with intermediate workspaces.')
self.declareProperty(name=common.PROP_SUBALG_LOGGING,
defaultValue=common.SUBALG_LOGGING_OFF,
validator=StringListValidator([
common.SUBALG_LOGGING_OFF,
common.SUBALG_LOGGING_ON]),
direction=Direction.Input,
doc='Enable or disable subalgorithms to ' +
'print in the logs.')
self.declareProperty(name=common.PROP_EPP_METHOD,
defaultValue=common.EPP_METHOD_AUTO,
validator=StringListValidator([
common.EPP_METHOD_AUTO,
common.EPP_METHOD_FIT,
common.EPP_METHOD_CALCULATE]),
direction=Direction.Input,
doc='Method to create the EPP table for detectors (monitor is awlays fitted).')
self.declareProperty(name=common.PROP_EPP_SIGMA,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc='Nominal sigma for the EPP table when ' + common.PROP_EPP_METHOD +
' is set to ' + common.EPP_METHOD_CALCULATE +
' (default: 10 times the first bin width).')
self.declareProperty(name=common.PROP_ELASTIC_CHANNEL_MODE,
defaultValue=common.ELASTIC_CHANNEL_AUTO,
validator=StringListValidator([
common.ELASTIC_CHANNEL_AUTO,
common.ELASTIC_CHANNEL_SAMPLE_LOG,
common.ELASTIC_CHANNEL_FIT]),
direction=Direction.Input,
doc='How to acquire the nominal elastic channel.')
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_ELASTIC_CHANNEL_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A single value workspace containing the nominal elastic channel index. Overrides '
+ common.PROP_ELASTIC_CHANNEL_MODE + '.')
self.declareProperty(name=common.PROP_MON_INDEX,
defaultValue=Property.EMPTY_INT,
validator=positiveInt,
direction=Direction.Input,
doc='Index of the incident monitor, if not specified in instrument parameters.')
self.declareProperty(name=common.PROP_INCIDENT_ENERGY_CALIBRATION,
defaultValue=common.INCIDENT_ENERGY_CALIBRATION_AUTO,
validator=StringListValidator([
common.INCIDENT_ENERGY_CALIBRATION_AUTO,
common.INCIDENT_ENERGY_CALIBRATION_ON,
common.INCIDENT_ENERGY_CALIBRATION_OFF]),
direction=Direction.Input,
doc='Control the incident energy calibration.')
self.setPropertyGroup(common.PROP_INCIDENT_ENERGY_CALIBRATION, PROPGROUP_INCIDENT_ENERGY_CALIBRATION)
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_INCIDENT_ENERGY_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A single-valued workspace holding a previously determined ' +
'incident energy.')
self.setPropertyGroup(common.PROP_INCIDENT_ENERGY_WS, PROPGROUP_INCIDENT_ENERGY_CALIBRATION)
self.declareProperty(name=common.PROP_FLAT_BKG,
defaultValue=common.BKG_AUTO,
validator=StringListValidator([
common.BKG_AUTO,
common.BKG_ON,
common.BKG_OFF]),
direction=Direction.Input,
doc='Control flat background subtraction.')
self.setPropertyGroup(common.PROP_FLAT_BKG, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_FLAT_BKG_SCALING,
defaultValue=1.0,
validator=positiveFloat,
direction=Direction.Input,
doc='Flat background multiplication factor.')
self.setPropertyGroup(common.PROP_FLAT_BKG_SCALING, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_FLAT_BKG_WINDOW,
defaultValue=30,
validator=mandatoryPositiveInt,
direction=Direction.Input,
doc='Running average window width (in bins) for flat background.')
self.setPropertyGroup(common.PROP_FLAT_BKG_WINDOW, PROPGROUP_FLAT_BKG)
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_FLAT_BKG_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='Workspace with previously determined flat background data.')
self.setPropertyGroup(common.PROP_FLAT_BKG_WS, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_NORMALISATION,
defaultValue=common.NORM_METHOD_MON,
validator=StringListValidator([
common.NORM_METHOD_MON,
common.NORM_METHOD_TIME,
common.NORM_METHOD_OFF]),
direction=Direction.Input,
doc='Normalisation method.')
self.setPropertyGroup(common.PROP_NORMALISATION, PROPGROUP_MON_NORMALISATION)
self.declareProperty(name=common.PROP_MON_PEAK_SIGMA_MULTIPLIER,
defaultValue=3.0,
validator=positiveFloat,
direction=Direction.Input,
doc="Width of the monitor peak in multiples " +
" of 'Sigma' in monitor's EPP table.")
self.setPropertyGroup(common.PROP_MON_PEAK_SIGMA_MULTIPLIER, PROPGROUP_MON_NORMALISATION)
# Rest of the output properties.
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_RAW_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Non-normalized and non-background subtracted output workspace for DirectILLDiagnostics.')
self.setPropertyGroup(common.PROP_OUTPUT_RAW_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_ELASTIC_CHANNEL_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for elastic channel index.')
self.setPropertyGroup(common.PROP_OUTPUT_ELASTIC_CHANNEL_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(ITableWorkspaceProperty(
name=common.PROP_OUTPUT_DET_EPP_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for elastic peak positions.')
self.setPropertyGroup(common.PROP_OUTPUT_DET_EPP_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_INCIDENT_ENERGY_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for calibrated incident energy.')
self.setPropertyGroup(common.PROP_OUTPUT_INCIDENT_ENERGY_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_FLAT_BKG_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for flat background.')
self.setPropertyGroup(common.PROP_OUTPUT_FLAT_BKG_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
def PyInit(self):
self.declareProperty(
MultipleFileProperty('CalibrationRun',
action=FileAction.Load,
extensions=['nxs']),
doc=
'File path of calibration runs (numors). Must be detector scans.')
self.declareProperty(
FileProperty('CalibrationFile',
'',
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='Optional file containing previous calibration constants.')
self.declareProperty(
name='CalibrationMethod',
defaultValue='Median',
validator=StringListValidator(['Median', 'Mean',
'MostLikelyMean']),
doc='The method of how the calibration constant of a pixel '
'is derived from the distribution of ratios.')
self.declareProperty(
name='DerivationMethod',
defaultValue='SequentialSummedReference1D',
validator=StringListValidator(
['SequentialSummedReference1D', 'GlobalSummedReference2D']),
doc=
'Choose sequential for D20 (1D detector), global for D2B (2D detector).'
)
self.declareProperty(
name='InterpolateOverlappingAngles',
defaultValue=False,
doc=
'Whether to interpolate scattering angle values in overlapping regions (D20 only).'
)
self.declareProperty(
name='NormaliseTo',
defaultValue='None',
validator=StringListValidator(['None', 'Monitor', 'ROI']),
doc=
'Normalise to monitor or ROI counts before deriving the calibration.'
)
thetaRangeValidator = FloatArrayOrderedPairsValidator()
self.declareProperty(
FloatArrayProperty(name='ROI',
values=[0, 100.],
validator=thetaRangeValidator),
doc=
'Scattering angle regions of interest for normalisation [degrees].'
)
normaliseToROI = VisibleWhenProperty('NormaliseTo',
PropertyCriterion.IsEqualTo,
'ROI')
self.setPropertySettings('ROI', normaliseToROI)
self.declareProperty(
FloatArrayProperty(name='ExcludedRange',
values=[],
validator=thetaRangeValidator),
doc='Scattering angle regions to exclude from the computation of '
'relative calibration constants; for example, the beam stop [degrees]. '
)
pixelRangeValidator = CompositeValidator()
greaterThanOne = IntArrayBoundedValidator(lower=1)
lengthTwo = IntArrayLengthValidator()
lengthTwo.setLength(2)
orderedPairsValidator = IntArrayOrderedPairsValidator()
pixelRangeValidator.add(greaterThanOne)
pixelRangeValidator.add(lengthTwo)
pixelRangeValidator.add(orderedPairsValidator)
self.declareProperty(
IntArrayProperty(name='PixelRange',
values=[1, 3072],
validator=pixelRangeValidator),
doc=
'Range of the pixel numbers to compute the calibration factors for (D20 only); '
'for the other pixels outside the range, the factor will be set to 1.'
)
self.declareProperty(
MatrixWorkspaceProperty('OutputResponseWorkspace',
'',
optional=PropertyMode.Optional,
direction=Direction.Output),
doc=
'Output workspace containing the summed diffraction patterns of all the overlapping pixels.'
)
self.declareProperty(
MatrixWorkspaceProperty('OutputWorkspace',
'',
direction=Direction.Output),
doc=
'Output workspace containing the calibration constants (inverse of efficiency) for each pixel.'
)
self.declareProperty(
name='NumberOfIterations',
defaultValue=1,
validator=IntBoundedValidator(lower=0, upper=10),
doc=
'Number of iterations to perform (D2B only): 0 means auto; that is, the '
'iterations will terminate after reaching some Chi2/NdoF.')
maskCriterionValidator = CompositeValidator()
arrayLengthTwo = FloatArrayLengthValidator()
arrayLengthTwo.setLengthMax(2)
orderedPairs = FloatArrayOrderedPairsValidator()
maskCriterionValidator.add(arrayLengthTwo)
maskCriterionValidator.add(orderedPairs)
self.declareProperty(
FloatArrayProperty(name='MaskCriterion',
values=[],
validator=maskCriterionValidator),
doc='Efficiency constants outside this range will be set to zero.')
self.declareProperty(
name='UseCalibratedData',
defaultValue=False,
doc=
'Whether or not to use the calibrated data in the NeXus files (D2B only).'
)
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
threeNonnegativeInts = CompositeValidator()
threeNonnegativeInts.add(IntArrayLengthValidator(3))
nonnegativeInts = IntArrayBoundedValidator(lower=0)
threeNonnegativeInts.add(nonnegativeInts)
nonnegativeFloatArray = FloatArrayBoundedValidator(lower=0.)
inWavelength = WorkspaceUnitValidator('Wavelength')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=inWavelength),
doc='A reflected beam workspace (units wavelength).')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='The summed foreground workspace.')
self.declareProperty(
Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator([SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(
Prop.CLEANUP,
defaultValue=utils.Cleanup.ON,
validator=StringListValidator([utils.Cleanup.ON, utils.Cleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(
Prop.SUM_TYPE,
defaultValue=SumType.IN_LAMBDA,
validator=StringListValidator([SumType.IN_LAMBDA, SumType.IN_Q]),
doc='Type of summation to perform.')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.DIRECT_FOREGROUND_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional,
validator=inWavelength),
doc='Summed direct beam workspace (units wavelength).')
self.declareProperty(
IntArrayProperty(
Prop.FOREGROUND_INDICES,
values=[Property.EMPTY_INT, Property.EMPTY_INT, Property.EMPTY_INT],
validator=threeNonnegativeInts),
doc='A three element array of foreground start, centre and end workspace indices.')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.DIRECT_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional,
validator=inWavelength),
doc='The (not summed) direct beam workspace (units wavelength).')
self.declareProperty(
FloatArrayProperty(
Prop.WAVELENGTH_RANGE,
values=[0.],
validator=nonnegativeFloatArray),
doc='The wavelength bounds.')
def PyInit(self):
"""Initialize the algorithm's input and output properties."""
PROPGROUP_BEAM_STOP_DIAGNOSTICS = 'Beam Stop Diagnostics'
PROPGROUP_BKG_DIAGNOSTICS = 'Background Diagnostics'
PROPGROUP_PEAK_DIAGNOSTICS = 'Elastic Peak Diagnostics'
PROPGROUP_USER_MASK = 'Additional Masking'
greaterThanUnityFloat = FloatBoundedValidator(lower=1)
inputWorkspaceValidator = CompositeValidator()
inputWorkspaceValidator.add(InstrumentValidator())
inputWorkspaceValidator.add(WorkspaceUnitValidator('TOF'))
positiveFloat = FloatBoundedValidator(lower=0)
positiveIntArray = IntArrayBoundedValidator()
positiveIntArray.setLower(0)
scalingFactor = FloatBoundedValidator(lower=0, upper=1)
# Properties.
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_INPUT_WS,
defaultValue='',
validator=inputWorkspaceValidator,
direction=Direction.Input),
doc="A 'raw' workspace from DirectILLCollectData to calculate the diagnostics from.")
self.declareProperty(WorkspaceProperty(name=common.PROP_OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='A diagnostics mask workspace.')
self.declareProperty(name=common.PROP_CLEANUP_MODE,
defaultValue=common.CLEANUP_ON,
validator=StringListValidator([
common.CLEANUP_ON,
common.CLEANUP_OFF]),
direction=Direction.Input,
doc='What to do with intermediate workspaces.')
self.declareProperty(name=common.PROP_SUBALG_LOGGING,
defaultValue=common.SUBALG_LOGGING_OFF,
validator=StringListValidator([
common.SUBALG_LOGGING_OFF,
common.SUBALG_LOGGING_ON]),
direction=Direction.Input,
doc='Enable or disable subalgorithms to ' +
'print in the logs.')
self.declareProperty(ITableWorkspaceProperty(
name=common.PROP_EPP_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='Table workspace containing results from the FindEPP algorithm.')
self.declareProperty(name=common.PROP_ELASTIC_PEAK_DIAGNOSTICS,
defaultValue=common.ELASTIC_PEAK_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.ELASTIC_PEAK_DIAGNOSTICS_AUTO,
common.ELASTIC_PEAK_DIAGNOSTICS_ON,
common.ELASTIC_PEAK_DIAGNOSTICS_OFF]),
direction=Direction.Input,
doc='Enable or disable elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_ELASTIC_PEAK_DIAGNOSTICS,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_ELASTIC_PEAK_SIGMA_MULTIPLIER,
defaultValue=3.0,
validator=positiveFloat,
direction=Direction.Input,
doc="Integration width of the elastic peak in multiples " +
" of 'Sigma' in the EPP table.")
self.setPropertyGroup(common.PROP_ELASTIC_PEAK_SIGMA_MULTIPLIER,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_PEAK_DIAGNOSTICS_LOW_THRESHOLD,
defaultValue=0.1,
validator=scalingFactor,
direction=Direction.Input,
doc='Multiplier for lower acceptance limit ' +
'used in elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_LOW_THRESHOLD,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_PEAK_DIAGNOSTICS_HIGH_THRESHOLD,
defaultValue=3.0,
validator=greaterThanUnityFloat,
direction=Direction.Input,
doc='Multiplier for higher acceptance limit ' +
'used in elastic peak diagnostics.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_HIGH_THRESHOLD,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_PEAK_DIAGNOSTICS_SIGNIFICANCE_TEST,
defaultValue=3.3,
validator=positiveFloat,
direction=Direction.Input,
doc='To fail the elastic peak diagnostics, the intensity must also exceed ' +
'this number of error bars with respect to the median intensity.')
self.setPropertyGroup(common.PROP_PEAK_DIAGNOSTICS_SIGNIFICANCE_TEST,
PROPGROUP_PEAK_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS,
defaultValue=common.BKG_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.BKG_DIAGNOSTICS_AUTO,
common.BKG_DIAGNOSTICS_ON,
common.BKG_DIAGNOSTICS_OFF]),
direction=Direction.Input,
doc='Control the background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS, PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_SIGMA_MULTIPLIER,
defaultValue=10.0,
validator=positiveFloat,
direction=Direction.Input,
doc="Width of the range excluded from background integration around " +
"the elastic peaks in multiplies of 'Sigma' in the EPP table")
self.setPropertyGroup(common.PROP_BKG_SIGMA_MULTIPLIER,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS_LOW_THRESHOLD,
defaultValue=0.1,
validator=scalingFactor,
direction=Direction.Input,
doc='Multiplier for lower acceptance limit ' +
'used in noisy background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_LOW_THRESHOLD,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS_HIGH_THRESHOLD,
defaultValue=3.3,
validator=greaterThanUnityFloat,
direction=Direction.Input,
doc='Multiplier for higher acceptance limit ' +
'used in noisy background diagnostics.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_HIGH_THRESHOLD,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BKG_DIAGNOSTICS_SIGNIFICANCE_TEST,
defaultValue=3.3,
validator=positiveFloat,
direction=Direction.Input,
doc='To fail the background diagnostics, the background level must also exceed ' +
'this number of error bars with respect to the median level.')
self.setPropertyGroup(common.PROP_BKG_DIAGNOSTICS_SIGNIFICANCE_TEST,
PROPGROUP_BKG_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BEAM_STOP_DIAGNOSTICS,
defaultValue=common.BEAM_STOP_DIAGNOSTICS_AUTO,
validator=StringListValidator([
common.BEAM_STOP_DIAGNOSTICS_AUTO,
common.BEAM_STOP_DIAGNOSTICS_ON,
common.BEAM_STOP_DIAGNOSTICS_OFF]),
direction=Direction.Input,
doc='Control the beam stop diagnostics.')
self.setPropertyGroup(common.PROP_BEAM_STOP_DIAGNOSTICS, PROPGROUP_BEAM_STOP_DIAGNOSTICS)
self.declareProperty(name=common.PROP_BEAM_STOP_THRESHOLD,
defaultValue=0.67,
validator=scalingFactor,
direction=Direction.Input,
doc='Multiplier for the lower acceptance limit for beam stop diagnostics.')
self.setPropertyGroup(common.PROP_BEAM_STOP_THRESHOLD, PROPGROUP_BEAM_STOP_DIAGNOSTICS)
self.declareProperty(name=common.PROP_DEFAULT_MASK,
defaultValue=common.DEFAULT_MASK_ON,
validator=StringListValidator([
common.DEFAULT_MASK_ON,
common.DEFAULT_MASK_OFF]),
direction=Direction.Input,
doc='Enable or disable instrument specific default mask.')
self.declareProperty(IntArrayProperty(name=common.PROP_USER_MASK,
values='',
validator=positiveIntArray,
direction=Direction.Input),
doc='List of spectra to mask.')
self.setPropertyGroup(common.PROP_USER_MASK, PROPGROUP_USER_MASK)
self.declareProperty(
StringArrayProperty(name=common.PROP_USER_MASK_COMPONENTS,
values='',
direction=Direction.Input),
doc='List of instrument components to mask.')
self.setPropertyGroup(common.PROP_USER_MASK_COMPONENTS, PROPGROUP_USER_MASK)
# Rest of the output properties
self.declareProperty(ITableWorkspaceProperty(
name=common.PROP_OUTPUT_DIAGNOSTICS_REPORT_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output table workspace for detector diagnostics reporting.')
self.setPropertyGroup(common.PROP_OUTPUT_DIAGNOSTICS_REPORT_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(name=common.PROP_OUTPUT_DIAGNOSTICS_REPORT,
defaultValue='',
direction=Direction.Output,
doc='Diagnostics report as a string.')
self.setPropertyGroup(common.PROP_OUTPUT_DIAGNOSTICS_REPORT,
common.PROPGROUP_OPTIONAL_OUTPUT)
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
nonnegativeInt = IntBoundedValidator(lower=0)
wsIndexRange = IntBoundedValidator(lower=0, upper=255)
nonnegativeIntArray = IntArrayBoundedValidator(lower=0)
maxTwoNonnegativeInts = CompositeValidator()
maxTwoNonnegativeInts.add(IntArrayLengthValidator(lenmin=0, lenmax=2))
maxTwoNonnegativeInts.add(nonnegativeIntArray)
self.declareProperty(MultipleFileProperty(Prop.RUN,
extensions=['nxs']),
doc='A list of input run numbers/files.')
self.declareProperty(MatrixWorkspaceProperty(Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='The preprocessed output workspace (unit wavelength), single histogram.')
self.declareProperty('Measurement', 'DirectBeam',
StringListValidator(['DirectBeam', 'ReflectedBeam']),
'Whether to process as direct or reflected beam.')
self.declareProperty('AngleOption', 'SampleAngle',
StringListValidator(['SampleAngle', 'DetectorAngle', 'UserAngle']))
self.setPropertySettings('AngleOption',
EnabledWhenProperty('Measurement', PropertyCriterion.IsEqualTo, 'ReflectedBeam'))
self.declareProperty(Prop.THETA,
defaultValue=-1.,
doc='The bragg angle for reflected beam [Degree], used if angle option is UserAngle.')
self.setPropertySettings(Prop.THETA,
EnabledWhenProperty('AngleOption', PropertyCriterion.IsEqualTo, 'UserAngle'))
self.declareProperty('DirectBeamDetectorAngle', -1.,
'The detector angle value [Degree] for the corresponding direct beam, '
'used if angle option is DetectorAngle')
self.declareProperty('DirectBeamForegroundCentre', -1.,
'Fractional pixel index for the direct beam, used if angle option is DetectorAngle.')
self.setPropertySettings('DirectBeamDetectorAngle',
EnabledWhenProperty('AngleOption', PropertyCriterion.IsEqualTo, 'DetectorAngle'))
self.setPropertySettings('DirectBeamForegroundCentre',
EnabledWhenProperty('AngleOption', PropertyCriterion.IsEqualTo, 'DetectorAngle'))
self.declareProperty(Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator([SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(Prop.CLEANUP,
defaultValue=utils.Cleanup.ON,
validator=StringListValidator([utils.Cleanup.ON, utils.Cleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(MatrixWorkspaceProperty(Prop.WATER_REFERENCE,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator("TOF"),
optional=PropertyMode.Optional),
doc='A (water) calibration workspace (unit TOF).')
self.declareProperty(Prop.SLIT_NORM,
defaultValue=SlitNorm.AUTO,
validator=StringListValidator([SlitNorm.AUTO, SlitNorm.OFF, SlitNorm.ON]),
doc='Enable or disable slit normalisation.')
self.declareProperty(Prop.FLUX_NORM_METHOD,
defaultValue=FluxNormMethod.TIME,
validator=StringListValidator([FluxNormMethod.TIME,
FluxNormMethod.MONITOR,
FluxNormMethod.OFF]),
doc='Neutron flux normalisation method.')
self.declareProperty(IntArrayProperty(Prop.FOREGROUND_HALF_WIDTH,
validator=maxTwoNonnegativeInts),
doc='Number of foreground pixels at lower and higher angles from the centre pixel.')
self.declareProperty(Prop.BKG_METHOD,
defaultValue=BkgMethod.AVERAGE,
validator=StringListValidator([BkgMethod.AVERAGE, BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.')
self.declareProperty(Prop.LOW_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc='Distance of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(Prop.LOW_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc='Width of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(Prop.HIGH_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc='Distance of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(Prop.HIGH_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc='Width of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(Prop.START_WS_INDEX,
validator=wsIndexRange,
defaultValue=0,
doc='Start workspace index used for peak fitting.')
self.declareProperty(Prop.END_WS_INDEX,
validator=wsIndexRange,
defaultValue=255,
doc='Last workspace index used for peak fitting.')
self.declareProperty(Prop.XMIN,
defaultValue=-1.,
doc='Minimum wavelength [Angstrom] used for peak fitting.')
self.declareProperty(Prop.XMAX,
defaultValue=-1.,
doc='Maximum wavelength [Angstrom] used for peak fitting.')
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
nonnegativeInt = IntBoundedValidator(lower=0)
nonnegativeIntArray = IntArrayBoundedValidator()
nonnegativeIntArray.setLower(0)
nonnegativeFloatArray = FloatArrayBoundedValidator()
nonnegativeFloatArray.setLower(0.)
twoNonnegativeFloats = CompositeValidator()
twoNonnegativeFloats.add(FloatArrayLengthValidator(length=2))
twoNonnegativeFloats.add(nonnegativeFloatArray)
maxTwoNonnegativeInts = CompositeValidator()
maxTwoNonnegativeInts.add(IntArrayLengthValidator(lenmin=0, lenmax=2))
maxTwoNonnegativeInts.add(nonnegativeIntArray)
self.declareProperty(MultipleFileProperty(Prop.RUN,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of input run numbers/files.')
self.declareProperty(MatrixWorkspaceProperty(Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator('TOF'),
optional=PropertyMode.Optional),
doc='An input workspace (units TOF) if no Run is specified.')
self.declareProperty(ITableWorkspaceProperty(Prop.BEAM_POS_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A beam position table corresponding to InputWorkspace.')
self.declareProperty(Prop.BEAM_ANGLE,
defaultValue=Property.EMPTY_DBL,
doc='A user-defined beam angle (unit degrees).')
self.declareProperty(name=Prop.BEAM_CENTRE,
defaultValue=Property.EMPTY_DBL,
doc='A workspace index corresponding to the beam centre.')
self.declareProperty(MatrixWorkspaceProperty(Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='The preprocessed output workspace (unit wavelength), single histogram.')
self.declareProperty(Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator([SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(Prop.CLEANUP,
defaultValue=common.WSCleanup.ON,
validator=StringListValidator([common.WSCleanup.ON, common.WSCleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(ITableWorkspaceProperty(Prop.DIRECT_BEAM_POS_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A beam position table from a direct beam measurement.')
self.declareProperty(MatrixWorkspaceProperty(Prop.WATER_REFERENCE,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator("TOF"),
optional=PropertyMode.Optional),
doc='A (water) calibration workspace (unit TOF).')
self.declareProperty(Prop.SLIT_NORM,
defaultValue=SlitNorm.OFF,
validator=StringListValidator([SlitNorm.OFF, SlitNorm.ON]),
doc='Enable or disable slit normalisation.')
self.declareProperty(Prop.FLUX_NORM_METHOD,
defaultValue=FluxNormMethod.TIME,
validator=StringListValidator([FluxNormMethod.TIME, FluxNormMethod.MONITOR, FluxNormMethod.OFF]),
doc='Neutron flux normalisation method.')
self.declareProperty(IntArrayProperty(Prop.FOREGROUND_HALF_WIDTH,
validator=maxTwoNonnegativeInts),
doc='Number of foreground pixels at lower and higher angles from the centre pixel.')
self.declareProperty(Prop.BKG_METHOD,
defaultValue=BkgMethod.CONSTANT,
validator=StringListValidator([BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.')
self.declareProperty(Prop.LOW_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc='Distance of flat background region towards smaller detector angles from the foreground centre, ' +
'in pixels.')
self.declareProperty(Prop.LOW_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc='Width of flat background region towards smaller detector angles from the foreground centre, in pixels.')
self.declareProperty(Prop.HIGH_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc='Distance of flat background region towards larger detector angles from the foreground centre, in pixels.')
self.declareProperty(Prop.HIGH_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc='Width of flat background region towards larger detector angles from the foreground centre, in pixels.')
self.declareProperty(ITableWorkspaceProperty(Prop.OUTPUT_BEAM_POS_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output the beam position table.')
def PyInit(self):
"""Initialize the algorithm's input and output properties."""
PROPGROUP_FLAT_BKG = 'Flat Time-Independent Background'
PROPGROUP_INCIDENT_ENERGY_CALIBRATION = 'Indicent Energy Calibration'
PROPGROUP_MON_NORMALISATION = 'Neutron Flux Normalisation'
# Validators.
mandatoryPositiveInt = CompositeValidator()
mandatoryPositiveInt.add(IntMandatoryValidator())
mandatoryPositiveInt.add(IntBoundedValidator(lower=0))
positiveFloat = FloatBoundedValidator(lower=0)
positiveInt = IntBoundedValidator(lower=0)
positiveIntArray = IntArrayBoundedValidator()
positiveIntArray.setLower(0)
inputWorkspaceValidator = CompositeValidator()
inputWorkspaceValidator.add(InstrumentValidator())
inputWorkspaceValidator.add(WorkspaceUnitValidator('TOF'))
# Properties.
self.declareProperty(MultipleFileProperty(name=common.PROP_INPUT_FILE,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='An input run number (or a list thereof) or a filename.')
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_INPUT_WS,
defaultValue='',
validator=inputWorkspaceValidator,
optional=PropertyMode.Optional,
direction=Direction.Input),
doc='Input workspace if no run is given.')
self.declareProperty(WorkspaceProperty(name=common.PROP_OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='A flux normalized and background subtracted workspace.')
self.declareProperty(name=common.PROP_CLEANUP_MODE,
defaultValue=common.CLEANUP_ON,
validator=StringListValidator([
common.CLEANUP_ON,
common.CLEANUP_OFF]),
direction=Direction.Input,
doc='What to do with intermediate workspaces.')
self.declareProperty(name=common.PROP_SUBALG_LOGGING,
defaultValue=common.SUBALG_LOGGING_OFF,
validator=StringListValidator([
common.SUBALG_LOGGING_OFF,
common.SUBALG_LOGGING_ON]),
direction=Direction.Input,
doc='Enable or disable subalgorithms to ' +
'print in the logs.')
self.declareProperty(name=common.PROP_EPP_METHOD,
defaultValue=common.EPP_METHOD_AUTO,
validator=StringListValidator([
common.EPP_METHOD_AUTO,
common.EPP_METHOD_FIT,
common.EPP_METHOD_CALCULATE]),
direction=Direction.Input,
doc='Method to create the EPP table for detectors (monitor is awlays fitted).')
self.declareProperty(name=common.PROP_EPP_SIGMA,
defaultValue=Property.EMPTY_DBL,
validator=positiveFloat,
direction=Direction.Input,
doc='Nominal sigma for the EPP table when ' + common.PROP_EPP_METHOD +
' is set to ' + common.EPP_METHOD_CALCULATE +
' (default: 10 times the first bin width).')
self.declareProperty(name=common.PROP_ELASTIC_CHANNEL_MODE,
defaultValue=common.ELASTIC_CHANNEL_AUTO,
validator=StringListValidator([
common.ELASTIC_CHANNEL_AUTO,
common.ELASTIC_CHANNEL_SAMPLE_LOG,
common.ELASTIC_CHANNEL_FIT]),
direction=Direction.Input,
doc='How to acquire the nominal elastic channel.')
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_ELASTIC_CHANNEL_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A single value workspace containing the nominal elastic channel index. Overrides '
+ common.PROP_ELASTIC_CHANNEL_MODE + '.')
self.declareProperty(name=common.PROP_MON_INDEX,
defaultValue=Property.EMPTY_INT,
validator=positiveInt,
direction=Direction.Input,
doc='Index of the incident monitor, if not specified in instrument parameters.')
self.declareProperty(name=common.PROP_INCIDENT_ENERGY_CALIBRATION,
defaultValue=common.INCIDENT_ENERGY_CALIBRATION_AUTO,
validator=StringListValidator([
common.INCIDENT_ENERGY_CALIBRATION_AUTO,
common.INCIDENT_ENERGY_CALIBRATION_ON,
common.INCIDENT_ENERGY_CALIBRATION_OFF]),
direction=Direction.Input,
doc='Control the incident energy calibration.')
self.setPropertyGroup(common.PROP_INCIDENT_ENERGY_CALIBRATION, PROPGROUP_INCIDENT_ENERGY_CALIBRATION)
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_INCIDENT_ENERGY_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A single-valued workspace holding a previously determined ' +
'incident energy.')
self.setPropertyGroup(common.PROP_INCIDENT_ENERGY_WS, PROPGROUP_INCIDENT_ENERGY_CALIBRATION)
self.declareProperty(name=common.PROP_FLAT_BKG,
defaultValue=common.BKG_AUTO,
validator=StringListValidator([
common.BKG_AUTO,
common.BKG_ON,
common.BKG_OFF]),
direction=Direction.Input,
doc='Control flat background subtraction.')
self.setPropertyGroup(common.PROP_FLAT_BKG, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_FLAT_BKG_SCALING,
defaultValue=1.0,
validator=positiveFloat,
direction=Direction.Input,
doc='Flat background multiplication factor.')
self.setPropertyGroup(common.PROP_FLAT_BKG_SCALING, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_FLAT_BKG_WINDOW,
defaultValue=30,
validator=mandatoryPositiveInt,
direction=Direction.Input,
doc='Running average window width (in bins) for flat background.')
self.setPropertyGroup(common.PROP_FLAT_BKG_WINDOW, PROPGROUP_FLAT_BKG)
self.declareProperty(MatrixWorkspaceProperty(
name=common.PROP_FLAT_BKG_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='Workspace with previously determined flat background data.')
self.setPropertyGroup(common.PROP_FLAT_BKG_WS, PROPGROUP_FLAT_BKG)
self.declareProperty(name=common.PROP_NORMALISATION,
defaultValue=common.NORM_METHOD_MON,
validator=StringListValidator([
common.NORM_METHOD_MON,
common.NORM_METHOD_TIME,
common.NORM_METHOD_OFF]),
direction=Direction.Input,
doc='Normalisation method.')
self.setPropertyGroup(common.PROP_NORMALISATION, PROPGROUP_MON_NORMALISATION)
self.declareProperty(name=common.PROP_MON_PEAK_SIGMA_MULTIPLIER,
defaultValue=3.0,
validator=positiveFloat,
direction=Direction.Input,
doc="Width of the monitor peak in multiples " +
" of 'Sigma' in monitor's EPP table.")
self.setPropertyGroup(common.PROP_MON_PEAK_SIGMA_MULTIPLIER, PROPGROUP_MON_NORMALISATION)
# Rest of the output properties.
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_RAW_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Non-normalized and non-background subtracted output workspace for DirectILLDiagnostics.')
self.setPropertyGroup(common.PROP_OUTPUT_RAW_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_ELASTIC_CHANNEL_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for elastic channel index.')
self.setPropertyGroup(common.PROP_OUTPUT_ELASTIC_CHANNEL_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(ITableWorkspaceProperty(
name=common.PROP_OUTPUT_DET_EPP_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for elastic peak positions.')
self.setPropertyGroup(common.PROP_OUTPUT_DET_EPP_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_INCIDENT_ENERGY_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for calibrated incident energy.')
self.setPropertyGroup(common.PROP_OUTPUT_INCIDENT_ENERGY_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
self.declareProperty(WorkspaceProperty(
name=common.PROP_OUTPUT_FLAT_BKG_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output workspace for flat background.')
self.setPropertyGroup(common.PROP_OUTPUT_FLAT_BKG_WS,
common.PROPGROUP_OPTIONAL_OUTPUT)
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
nonnegativeInt = IntBoundedValidator(lower=0)
nonnegativeIntArray = IntArrayBoundedValidator()
nonnegativeIntArray.setLower(0)
nonnegativeFloatArray = FloatArrayBoundedValidator()
nonnegativeFloatArray.setLower(0.)
twoNonnegativeFloats = CompositeValidator()
twoNonnegativeFloats.add(FloatArrayLengthValidator(length=2))
twoNonnegativeFloats.add(nonnegativeFloatArray)
maxTwoNonnegativeInts = CompositeValidator()
maxTwoNonnegativeInts.add(IntArrayLengthValidator(lenmin=0, lenmax=2))
maxTwoNonnegativeInts.add(nonnegativeIntArray)
self.declareProperty(MultipleFileProperty(
Prop.RUN, action=FileAction.OptionalLoad, extensions=['nxs']),
doc='A list of input run numbers/files.')
self.declareProperty(
MatrixWorkspaceProperty(Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator('TOF'),
optional=PropertyMode.Optional),
doc='An input workspace (units TOF) if no Run is specified.')
self.declareProperty(
ITableWorkspaceProperty(Prop.BEAM_POS_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A beam position table corresponding to InputWorkspace.')
self.declareProperty(Prop.BEAM_ANGLE,
defaultValue=Property.EMPTY_DBL,
doc='A user-defined beam angle (unit degrees).')
self.declareProperty(
name=Prop.BEAM_CENTRE,
defaultValue=Property.EMPTY_DBL,
doc='A workspace index corresponding to the beam centre.')
self.declareProperty(
MatrixWorkspaceProperty(Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc=
'The preprocessed output workspace (unit wavelength), single histogram.'
)
self.declareProperty(Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator(
[SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(
Prop.CLEANUP,
defaultValue=common.WSCleanup.ON,
validator=StringListValidator(
[common.WSCleanup.ON, common.WSCleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(
ITableWorkspaceProperty(Prop.DIRECT_BEAM_POS_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A beam position table from a direct beam measurement.')
self.declareProperty(MatrixWorkspaceProperty(
Prop.WATER_REFERENCE,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator("TOF"),
optional=PropertyMode.Optional),
doc='A (water) calibration workspace (unit TOF).')
self.declareProperty(Prop.SLIT_NORM,
defaultValue=SlitNorm.OFF,
validator=StringListValidator(
[SlitNorm.OFF, SlitNorm.ON]),
doc='Enable or disable slit normalisation.')
self.declareProperty(Prop.FLUX_NORM_METHOD,
defaultValue=FluxNormMethod.TIME,
validator=StringListValidator([
FluxNormMethod.TIME, FluxNormMethod.MONITOR,
FluxNormMethod.OFF
]),
doc='Neutron flux normalisation method.')
self.declareProperty(
IntArrayProperty(Prop.FOREGROUND_HALF_WIDTH,
validator=maxTwoNonnegativeInts),
doc=
'Number of foreground pixels at lower and higher angles from the centre pixel.'
)
self.declareProperty(
Prop.BKG_METHOD,
defaultValue=BkgMethod.CONSTANT,
validator=StringListValidator(
[BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.'
)
self.declareProperty(
Prop.LOW_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc=
'Distance of flat background region towards smaller detector angles from the foreground centre, '
+ 'in pixels.')
self.declareProperty(
Prop.LOW_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc=
'Width of flat background region towards smaller detector angles from the foreground centre, in pixels.'
)
self.declareProperty(
Prop.HIGH_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc=
'Distance of flat background region towards larger detector angles from the foreground centre, in pixels.'
)
self.declareProperty(
Prop.HIGH_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc=
'Width of flat background region towards larger detector angles from the foreground centre, in pixels.'
)
self.declareProperty(ITableWorkspaceProperty(
Prop.OUTPUT_BEAM_POS_WS,
defaultValue='',
direction=Direction.Output,
optional=PropertyMode.Optional),
doc='Output the beam position table.')
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
threeNonnegativeInts = CompositeValidator()
threeNonnegativeInts.add(IntArrayLengthValidator(3))
nonnegativeInts = IntArrayBoundedValidator()
nonnegativeInts.setLower(0)
threeNonnegativeInts.add(nonnegativeInts)
nonnegativeFloatArray = FloatArrayBoundedValidator()
nonnegativeFloatArray.setLower(0.)
inWavelength = WorkspaceUnitValidator('Wavelength')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=inWavelength),
doc='A reflected beam workspace (units wavelength).')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc='The summed foreground workspace.')
self.declareProperty(
Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator([SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(
Prop.CLEANUP,
defaultValue=common.WSCleanup.ON,
validator=StringListValidator([common.WSCleanup.ON, common.WSCleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(
Prop.SUM_TYPE,
defaultValue=SumType.IN_LAMBDA,
validator=StringListValidator([SumType.IN_LAMBDA, SumType.IN_Q]),
doc='Type of summation to perform.')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.DIRECT_FOREGROUND_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional,
validator=inWavelength),
doc='Summed direct beam workspace (units wavelength).')
self.declareProperty(
IntArrayProperty(
Prop.FOREGROUND_INDICES,
values=[Property.EMPTY_INT, Property.EMPTY_INT, Property.EMPTY_INT],
validator=threeNonnegativeInts),
doc='A three element array of foreground start, centre and end workspace indices.')
self.declareProperty(
MatrixWorkspaceProperty(
Prop.DIRECT_WS,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional,
validator=inWavelength),
doc='The (not summed) direct beam workspace (units wavelength).')
self.declareProperty(
FloatArrayProperty(
Prop.WAVELENGTH_RANGE,
values=[0.],
validator=nonnegativeFloatArray),
doc='The wavelength bounds.')
def PyInit(self):
self.declareProperty(MultipleFileProperty('CalibrationRun', action=FileAction.Load, extensions=['nxs']),
doc='File path of calibration runs (numors). Must be detector scans.')
self.declareProperty(FileProperty('CalibrationFile', '', action=FileAction.OptionalLoad, extensions=['nxs']),
doc='Optional file containing previous calibration constants.')
self.declareProperty(name='CalibrationMethod',
defaultValue='Median',
validator=StringListValidator(['Median', 'Mean', 'MostLikelyMean']),
doc='The method of how the calibration constant of a pixel '
'is derived from the distribution of ratios.')
self.declareProperty(name='DerivationMethod', defaultValue='SequentialSummedReference1D',
validator=StringListValidator(['SequentialSummedReference1D', 'GlobalSummedReference2D']),
doc='Choose sequential for D20 (1D detector), global for D2B (2D detector).')
self.declareProperty(name='InterpolateOverlappingAngles', defaultValue=False,
doc='Whether to interpolate scattering angle values in overlapping regions (D20 only).')
self.declareProperty(name='NormaliseTo',
defaultValue='None',
validator=StringListValidator(['None', 'Monitor', 'ROI']),
doc='Normalise to monitor or ROI counts before deriving the calibration.')
thetaRangeValidator = FloatArrayOrderedPairsValidator()
self.declareProperty(FloatArrayProperty(name='ROI', values=[0,100.], validator=thetaRangeValidator),
doc='Scattering angle regions of interest for normalisation [degrees].')
normaliseToROI = VisibleWhenProperty('NormaliseTo', PropertyCriterion.IsEqualTo, 'ROI')
self.setPropertySettings('ROI', normaliseToROI)
self.declareProperty(FloatArrayProperty(name='ExcludedRange', values=[], validator=thetaRangeValidator),
doc='Scattering angle regions to exclude from the computation of '
'relative calibration constants; for example, the beam stop [degrees]. ')
pixelRangeValidator = CompositeValidator()
greaterThanOne = IntArrayBoundedValidator()
greaterThanOne.setLower(1)
lengthTwo = IntArrayLengthValidator()
lengthTwo.setLength(2)
orderedPairsValidator = IntArrayOrderedPairsValidator()
pixelRangeValidator.add(greaterThanOne)
pixelRangeValidator.add(lengthTwo)
pixelRangeValidator.add(orderedPairsValidator)
self.declareProperty(IntArrayProperty(name='PixelRange', values=[1,3072], validator=pixelRangeValidator),
doc='Range of the pixel numbers to compute the calibration factors for (D20 only); '
'for the other pixels outside the range, the factor will be set to 1.')
self.declareProperty(MatrixWorkspaceProperty('OutputResponseWorkspace', '',
optional=PropertyMode.Optional, direction=Direction.Output),
doc='Output workspace containing the summed diffraction patterns of all the overlapping pixels.')
self.declareProperty(MatrixWorkspaceProperty('OutputWorkspace', '',
direction=Direction.Output),
doc='Output workspace containing the calibration constants (inverse of efficiency) for each pixel.')
self.declareProperty(name='NumberOfIterations',
defaultValue=1,
validator=IntBoundedValidator(lower=0, upper=10),
doc='Number of iterations to perform (D2B only): 0 means auto; that is, the '
'iterations will terminate after reaching some Chi2/NdoF.')
maskCriterionValidator = CompositeValidator()
arrayLengthTwo = FloatArrayLengthValidator()
arrayLengthTwo.setLengthMax(2)
orderedPairs = FloatArrayOrderedPairsValidator()
maskCriterionValidator.add(arrayLengthTwo)
maskCriterionValidator.add(orderedPairs)
self.declareProperty(FloatArrayProperty(name='MaskCriterion', values=[], validator=maskCriterionValidator),
doc='Efficiency constants outside this range will be set to zero.')
self.declareProperty(name='UseCalibratedData',
defaultValue=False,
doc='Whether or not to use the calibrated data in the NeXus files (D2B only).')
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
nonnegativeInt = IntBoundedValidator(lower=0)
wsIndexRange = IntBoundedValidator(lower=0, upper=255)
nonnegativeIntArray = IntArrayBoundedValidator(lower=0)
maxTwoNonnegativeInts = CompositeValidator()
maxTwoNonnegativeInts.add(IntArrayLengthValidator(lenmin=0, lenmax=2))
maxTwoNonnegativeInts.add(nonnegativeIntArray)
self.declareProperty(MultipleFileProperty(
Prop.RUN, action=FileAction.OptionalLoad, extensions=['nxs']),
doc='A list of input run numbers/files.')
self.declareProperty(
MatrixWorkspaceProperty(Prop.INPUT_WS,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator('TOF'),
optional=PropertyMode.Optional),
doc='An input workspace (units TOF) if no Run is specified.')
self.declareProperty(
MatrixWorkspaceProperty(Prop.OUTPUT_WS,
defaultValue='',
direction=Direction.Output),
doc=
'The preprocessed output workspace (unit wavelength), single histogram.'
)
self.declareProperty(
Prop.TWO_THETA,
defaultValue=Property.EMPTY_DBL,
doc='A user-defined scattering angle 2 theta (unit degrees).')
self.declareProperty(
name=Prop.LINE_POSITION,
defaultValue=Property.EMPTY_DBL,
doc=
'A workspace index corresponding to the beam centre between 0.0 and 255.0.'
)
self.declareProperty(MatrixWorkspaceProperty(
Prop.DIRECT_LINE_WORKSPACE,
defaultValue='',
direction=Direction.Input,
optional=PropertyMode.Optional),
doc='A pre-processed direct beam workspace.')
self.declareProperty(Prop.SUBALG_LOGGING,
defaultValue=SubalgLogging.OFF,
validator=StringListValidator(
[SubalgLogging.OFF, SubalgLogging.ON]),
doc='Enable or disable child algorithm logging.')
self.declareProperty(
Prop.CLEANUP,
defaultValue=utils.Cleanup.ON,
validator=StringListValidator(
[utils.Cleanup.ON, utils.Cleanup.OFF]),
doc='Enable or disable intermediate workspace cleanup.')
self.declareProperty(MatrixWorkspaceProperty(
Prop.WATER_REFERENCE,
defaultValue='',
direction=Direction.Input,
validator=WorkspaceUnitValidator("TOF"),
optional=PropertyMode.Optional),
doc='A (water) calibration workspace (unit TOF).')
self.declareProperty(Prop.SLIT_NORM,
defaultValue=SlitNorm.OFF,
validator=StringListValidator(
[SlitNorm.OFF, SlitNorm.ON]),
doc='Enable or disable slit normalisation.')
self.declareProperty(Prop.FLUX_NORM_METHOD,
defaultValue=FluxNormMethod.TIME,
validator=StringListValidator([
FluxNormMethod.TIME, FluxNormMethod.MONITOR,
FluxNormMethod.OFF
]),
doc='Neutron flux normalisation method.')
self.declareProperty(
IntArrayProperty(Prop.FOREGROUND_HALF_WIDTH,
validator=maxTwoNonnegativeInts),
doc=
'Number of foreground pixels at lower and higher angles from the centre pixel.'
)
self.declareProperty(
Prop.BKG_METHOD,
defaultValue=BkgMethod.CONSTANT,
validator=StringListValidator(
[BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.'
)
self.declareProperty(
Prop.LOW_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc=
'Distance of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(
Prop.LOW_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc=
'Width of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(
Prop.HIGH_BKG_OFFSET,
defaultValue=7,
validator=nonnegativeInt,
doc=
'Distance of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(
Prop.HIGH_BKG_WIDTH,
defaultValue=5,
validator=nonnegativeInt,
doc=
'Width of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels.')
self.declareProperty(
Prop.START_WS_INDEX,
validator=wsIndexRange,
defaultValue=0,
doc='Start workspace index used for peak fitting.')
self.declareProperty(Prop.END_WS_INDEX,
validator=wsIndexRange,
defaultValue=255,
doc='Last workspace index used for peak fitting.')
self.declareProperty(
Prop.XMIN,
defaultValue=Property.EMPTY_DBL,
doc='Minimum x value (unit Angstrom) used for peak fitting.')
self.declareProperty(
Prop.XMAX,
defaultValue=Property.EMPTY_DBL,
doc='Maximum x value (unit Angstrom) used for peak fitting.')
def PyInit(self):
"""Initialize the input and output properties of the algorithm."""
nonnegativeInts = IntArrayBoundedValidator()
nonnegativeInts.setLower(0)
maxTwoNonnegativeInts = CompositeValidator()
maxTwoNonnegativeInts.add(IntArrayLengthValidator(lenmin=0, lenmax=2))
maxTwoNonnegativeInts.add(nonnegativeInts)
nonnegativeFloatArray = FloatArrayBoundedValidator()
nonnegativeFloatArray.setLower(0.)
stringArrayValidator = StringArrayLengthValidator()
stringArrayValidator.setLengthMin(1)
#======================== Main Properties ========================
self.declareProperty(
PropertyNames.POLARIZATION_OPTION, 'NonPolarized',
StringListValidator(['NonPolarized', 'Polarized']),
'Indicate whether measurements are polarized')
is_polarized = EnabledWhenProperty(PropertyNames.POLARIZATION_OPTION,
PropertyCriterion.IsEqualTo,
'Polarized')
is_not_polarized = EnabledWhenProperty(
PropertyNames.POLARIZATION_OPTION, PropertyCriterion.IsEqualTo,
'NonPolarized')
polarized = 'Inputs for polarized measurements'
self.declareProperty(MultipleFileProperty(
PropertyNames.RB,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of reflected run numbers/files.')
self.setPropertySettings(PropertyNames.RB, is_not_polarized)
self.declareProperty(
MultipleFileProperty(PropertyNames.RB00,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of reflected run numbers/files for 00.')
self.setPropertySettings(PropertyNames.RB00, is_polarized)
self.setPropertyGroup(PropertyNames.RB00, polarized)
self.declareProperty(
MultipleFileProperty(PropertyNames.RB01,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of reflected run numbers/files for 01.')
self.setPropertySettings(PropertyNames.RB01, is_polarized)
self.setPropertyGroup(PropertyNames.RB01, polarized)
self.declareProperty(
MultipleFileProperty(PropertyNames.RB10,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of reflected run numbers/files for 10.')
self.setPropertySettings(PropertyNames.RB10, is_polarized)
self.setPropertyGroup(PropertyNames.RB10, polarized)
self.declareProperty(
MultipleFileProperty(PropertyNames.RB11,
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='A list of reflected run numbers/files for 11.')
self.setPropertySettings(PropertyNames.RB11, is_polarized)
self.setPropertyGroup(PropertyNames.RB11, polarized)
self.declareProperty(
FileProperty(PropertyNames.EFFICIENCY_FILE,
defaultValue='',
action=FileAction.OptionalLoad),
doc='A file containing the polarization efficiency factors.')
self.setPropertySettings(PropertyNames.EFFICIENCY_FILE, is_polarized)
self.setPropertyGroup(PropertyNames.EFFICIENCY_FILE, polarized)
self.declareProperty(MultipleFileProperty(PropertyNames.DB,
action=FileAction.Load,
extensions=['nxs']),
doc='A list of direct run numbers/files.')
self.declareProperty(WorkspaceGroupProperty(
Prop.OUTPUT_WS, defaultValue='', direction=Direction.Output),
doc='The output workspace group.')
self.declareProperty(
PropertyNames.BKG_METHOD_DIRECT,
defaultValue=BkgMethod.CONSTANT,
validator=StringListValidator(
[BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.'
)
self.declareProperty(
PropertyNames.BKG_METHOD,
defaultValue=BkgMethod.CONSTANT,
validator=StringListValidator(
[BkgMethod.CONSTANT, BkgMethod.LINEAR, BkgMethod.OFF]),
doc='Flat background calculation method for background subtraction.'
)
self.copyProperties('ReflectometryILLPreprocess', [
Prop.SUBALG_LOGGING, Prop.CLEANUP, Prop.WATER_REFERENCE,
Prop.SLIT_NORM, Prop.FLUX_NORM_METHOD
])
self.declareProperty(PropertyNames.SCALE_FACTOR,
defaultValue=1.0,
doc='Scale factor.')
self.declareProperty(
PropertyNames.USE_MANUAL_SCALE_FACTORS,
defaultValue=False,
doc='Choose to apply manual scale factors for stitching.')
self.declareProperty(
FloatArrayProperty(PropertyNames.MANUAL_SCALE_FACTORS, values=[]),
doc=
'A list of manual scale factors for stitching (number of anlge configurations minus 1)'
)
self.setPropertySettings(
PropertyNames.MANUAL_SCALE_FACTORS,
EnabledWhenProperty(PropertyNames.USE_MANUAL_SCALE_FACTORS,
PropertyCriterion.IsNotDefault))
self.declareProperty(
PropertyNames.CACHE_DIRECT_BEAM,
defaultValue=False,
doc=
'Cache the processed direct beam in ADS for ready use with further reflected beams;'
'saves important execution time, however assumes that the direct beam processing '
'configuration must be invariant for different reflected beams.')
# ======================== Common Properties ========================
commonProp = 'Preprocessing common properties: provide a list or a single value'
self.declareProperty(StringArrayProperty(
PropertyNames.ANGLE_OPTION,
values=[PropertyNames.DAN],
validator=stringArrayValidator,
direction=Direction.Input,
),
doc='Angle option used for detector positioning')
self.declareProperty(FloatArrayProperty(PropertyNames.THETA,
values=[-1.]),
doc='A user-defined angle theta in degree')
self.declareProperty(StringArrayProperty(
PropertyNames.SUM_TYPE,
values=[PropertyNames.INCOHERENT],
validator=stringArrayValidator,
direction=Direction.Input,
),
doc='Type of summation to perform')
self.declareProperty(FloatArrayProperty(
PropertyNames.WAVELENGTH_LOWER,
values=[0.],
validator=nonnegativeFloatArray),
doc='The lower wavelength bound (Angstrom)')
self.declareProperty(FloatArrayProperty(
PropertyNames.WAVELENGTH_UPPER,
values=[35.],
validator=nonnegativeFloatArray),
doc='The upper wavelength bound (Angstrom)')
self.declareProperty(
FloatArrayProperty(
PropertyNames.GROUPING_FRACTION,
values=[0.5],
validator=nonnegativeFloatArray,
),
doc=
'If set, group the output by steps of this fraction multiplied by Q resolution'
)
self.setPropertyGroup(PropertyNames.ANGLE_OPTION, commonProp)
self.setPropertyGroup(PropertyNames.THETA, commonProp)
self.setPropertyGroup(PropertyNames.SUM_TYPE, commonProp)
self.setPropertyGroup(PropertyNames.WAVELENGTH_LOWER, commonProp)
self.setPropertyGroup(PropertyNames.WAVELENGTH_UPPER, commonProp)
self.setPropertyGroup(PropertyNames.GROUPING_FRACTION, commonProp)
# ======================== Direct Run Properties ========================
preProcessDirect = 'Preprocessing for direct runs: provide a list or a single value'
self.declareProperty(
IntArrayProperty(PropertyNames.LOW_FRG_HALF_WIDTH_DIRECT,
values=[0],
validator=nonnegativeInts),
doc=
'Number of foreground pixels at lower angles from the centre pixel.'
)
self.setPropertyGroup(PropertyNames.LOW_FRG_HALF_WIDTH_DIRECT,
preProcessDirect)
self.declareProperty(
IntArrayProperty(
PropertyNames.LOW_BKG_OFFSET_DIRECT,
values=[7],
validator=nonnegativeInts,
),
doc=
'Distance of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.LOW_BKG_OFFSET_DIRECT,
preProcessDirect)
self.declareProperty(
IntArrayProperty(
PropertyNames.LOW_BKG_WIDTH_DIRECT,
values=[5],
validator=nonnegativeInts,
),
doc=
'Width of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.LOW_BKG_WIDTH_DIRECT,
preProcessDirect)
self.declareProperty(
IntArrayProperty(PropertyNames.HIGH_FRG_HALF_WIDTH_DIRECT,
values=[0],
validator=nonnegativeInts),
doc=
'Number of foreground pixels at higher angles from the centre pixel.'
)
self.setPropertyGroup(PropertyNames.HIGH_FRG_HALF_WIDTH_DIRECT,
preProcessDirect)
self.declareProperty(
IntArrayProperty(
PropertyNames.HIGH_BKG_OFFSET_DIRECT,
values=[7],
validator=nonnegativeInts,
),
doc=
'Distance of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.HIGH_BKG_OFFSET_DIRECT,
preProcessDirect)
self.declareProperty(
IntArrayProperty(
PropertyNames.HIGH_BKG_WIDTH_DIRECT,
values=[5],
validator=nonnegativeInts,
),
doc=
'Width of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.HIGH_BKG_WIDTH_DIRECT,
preProcessDirect)
self.declareProperty(IntArrayProperty(
PropertyNames.START_WS_INDEX_DIRECT,
values=[0],
validator=nonnegativeInts,
),
doc='Start histogram index used for peak fitting')
self.setPropertyGroup(PropertyNames.START_WS_INDEX_DIRECT,
preProcessDirect)
self.declareProperty(IntArrayProperty(
PropertyNames.END_WS_INDEX_DIRECT,
values=[255],
validator=nonnegativeInts,
),
doc='Last histogram index used for peak fitting')
self.setPropertyGroup(PropertyNames.END_WS_INDEX_DIRECT,
preProcessDirect)
self.declareProperty(
PropertyNames.XMIN_DIRECT,
defaultValue=-1.,
doc='Minimum x value (unit wavelength) used for peak fitting.')
self.setPropertyGroup(PropertyNames.XMIN_DIRECT, preProcessDirect)
self.declareProperty(
PropertyNames.XMAX_DIRECT,
defaultValue=-1.,
doc='Maximum x value (unit wavelength) used for peak fitting.')
self.setPropertyGroup(PropertyNames.XMAX_DIRECT, preProcessDirect)
# ======================== Preprocessing For Reflected Runs ========================
preProcessReflected = 'Preprocessing for reflected runs: provide a list or a single value'
self.declareProperty(
IntArrayProperty(
PropertyNames.LOW_FRG_HALF_WIDTH,
values=[0],
validator=nonnegativeInts,
),
doc=
'Number of foreground pixels at lower angles from the centre pixel.'
)
self.setPropertyGroup(PropertyNames.LOW_FRG_HALF_WIDTH,
preProcessReflected)
self.declareProperty(
IntArrayProperty(
PropertyNames.LOW_BKG_OFFSET,
values=[7],
validator=nonnegativeInts,
),
doc=
'Distance of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels.')
self.setPropertyGroup(PropertyNames.LOW_BKG_OFFSET,
preProcessReflected)
self.declareProperty(
IntArrayProperty(
PropertyNames.LOW_BKG_WIDTH,
values=[5],
validator=nonnegativeInts,
),
doc=
'Width of flat background region towards smaller detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.LOW_BKG_WIDTH, preProcessReflected)
self.declareProperty(
IntArrayProperty(
PropertyNames.HIGH_FRG_HALF_WIDTH,
values=[0],
validator=nonnegativeInts,
),
doc=
'Number of foreground pixels at higher angles from the centre pixel.'
)
self.setPropertyGroup(PropertyNames.HIGH_FRG_HALF_WIDTH,
preProcessReflected)
self.declareProperty(
IntArrayProperty(
PropertyNames.HIGH_BKG_OFFSET,
values=[7],
validator=nonnegativeInts,
),
doc=
'Distance of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels')
self.setPropertyGroup(PropertyNames.HIGH_BKG_OFFSET,
preProcessReflected)
self.declareProperty(
IntArrayProperty(
PropertyNames.HIGH_BKG_WIDTH,
values=[5],
validator=nonnegativeInts,
),
doc=
'Width of flat background region towards larger detector angles from the '
+ 'foreground centre, in pixels.')
self.setPropertyGroup(PropertyNames.HIGH_BKG_WIDTH,
preProcessReflected)
self.declareProperty(IntArrayProperty(
PropertyNames.START_WS_INDEX,
values=[0],
validator=nonnegativeInts,
),
doc='Start histogram index used for peak fitting')
self.setPropertyGroup(PropertyNames.START_WS_INDEX,
preProcessReflected)
self.declareProperty(IntArrayProperty(
PropertyNames.END_WS_INDEX,
values=[255],
validator=nonnegativeInts,
),
doc='Last histogram index used for peak fitting')
self.setPropertyGroup(PropertyNames.END_WS_INDEX, preProcessReflected)
self.declareProperty(
FloatArrayProperty(PropertyNames.XMIN, values=[-1.]),
doc='Minimum x value (unit wavelength) used for peak fitting')
self.setPropertyGroup(PropertyNames.XMIN, preProcessReflected)
self.declareProperty(
FloatArrayProperty(PropertyNames.XMAX, values=[-1.]),
doc='Maximum x value (unit wavelength) used for peak fitting')
self.setPropertyGroup(PropertyNames.XMAX, preProcessReflected)
def PyInit(self):
validator = IntArrayBoundedValidator()
validator.setLower(0)
self.declareProperty(
IntArrayProperty("RunNumbers",
values=[0],
direction=Direction.Input,
validator=validator),
"Run numbers to process, comma separated")
self.declareProperty(
"LiveData", False,
"Read live data - requires a saved run in the current IPTS " +
"with the same Instrument configuration as the live run")
mask = [
"None", "Horizontal", "Vertical", "Masking Workspace",
"Custom - xml masking file"
]
self.declareProperty("Masking", "None", StringListValidator(mask),
"Mask to be applied to the data")
self.declareProperty(
WorkspaceProperty("MaskingWorkspace", "", Direction.Input,
PropertyMode.Optional),
"The workspace containing the mask.")
self.declareProperty(FileProperty(name="MaskingFilename",
defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the xml mask.")
self.declareProperty(
name="Calibration",
defaultValue="Convert Units",
validator=StringListValidator(
['Convert Units', 'Calibration File', 'DetCal File']),
direction=Direction.Input,
doc="The type of conversion to d_spacing to be used.")
self.declareProperty(
FileProperty(name="CalibrationFilename",
defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The calibration file to convert to d_spacing.")
self.declareProperty(
MultipleFileProperty(name='DetCalFilename',
extensions=['.detcal'],
action=FileAction.OptionalLoad),
'ISAW DetCal file')
self.declareProperty(
FloatArrayProperty("Binning", [0.5, -0.004, 7.0]),
"Min, Step, and Max of d-space bins. Logarithmic binning is used if Step is negative."
)
nor_corr = [
"None", "From Workspace", "From Processed Nexus",
"Extracted from Data"
]
self.declareProperty(
"Normalization", "None", StringListValidator(nor_corr),
"If needed what type of input to use as normalization, Extracted from "
+
"Data uses a background determination that is peak independent.This "
+
"implemantation can be tested in algorithm SNAP Peak Clipping Background"
)
self.declareProperty(
FileProperty(name="NormalizationFilename",
defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the processed nexus for normalization.")
self.declareProperty(
WorkspaceProperty("NormalizationWorkspace", "", Direction.Input,
PropertyMode.Optional),
"The workspace containing the normalization data.")
self.declareProperty(
"PeakClippingWindowSize", 10,
"Read live data - requires a saved run in the current " +
"IPTS with the same Instrumnet configuration")
self.declareProperty(
"SmoothingRange", 10,
"Read live data - requires a saved run in the " +
"current IPTS with the same Instrumnet configuration")
grouping = ["All", "Column", "Banks", "Modules", "2_4 Grouping"]
self.declareProperty(
"GroupDetectorsBy", "All", StringListValidator(grouping),
"Detector groups to use for future focussing: " +
"All detectors as one group, Groups (East,West for " +
"SNAP), Columns for SNAP, detector banks")
mode = ["Set-Up", "Production"]
self.declareProperty(
"ProcessingMode", "Production", StringListValidator(mode),
"Set-Up Mode is used for establishing correct parameters. Production "
+ "Mode only Normalized workspace is kept for each run.")
self.declareProperty(
name="OptionalPrefix",
defaultValue="",
direction=Direction.Input,
doc="Optional Prefix to be added to workspaces and output filenames"
)
self.declareProperty(
"SaveData", False, "Save data in the following formats: Ascii- " +
"d-spacing ,Nexus Processed,GSAS and Fullprof")
self.declareProperty(FileProperty(name="OutputDirectory",
defaultValue="",
action=FileAction.OptionalDirectory),
doc='Default value is proposal shared directory')
def PyInit(self):
validator = IntArrayBoundedValidator(lower=0)
self.declareProperty(
IntArrayProperty("RunNumbers",
values=[0],
direction=Direction.Input,
validator=validator),
"Run numbers to process, comma separated")
self.declareProperty(
'Background',
Property.EMPTY_INT,
doc='Background to subtract from each individual run')
mask = [
"None", "Horizontal", "Vertical", "Masking Workspace",
"Custom - xml masking file"
]
self.declareProperty("Masking", "None", StringListValidator(mask),
"Mask to be applied to the data")
self.declareProperty(
WorkspaceProperty("MaskingWorkspace", "", Direction.Input,
PropertyMode.Optional),
"The workspace containing the mask.")
self.declareProperty(FileProperty(name="MaskingFilename",
defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the xml mask.")
self.declareProperty(
name="Calibration",
defaultValue="Convert Units",
validator=StringListValidator(
['Convert Units', 'Calibration File', 'DetCal File']),
direction=Direction.Input,
doc="The type of conversion to d_spacing to be used.")
self.declareProperty(
FileProperty(name="CalibrationFilename",
defaultValue="",
extensions=['.h5', '.cal'],
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The calibration file to convert to d_spacing.")
self.declareProperty(
MultipleFileProperty(name='DetCalFilename',
extensions=['.detcal'],
action=FileAction.OptionalLoad),
'ISAW DetCal file')
self.declareProperty(
FloatArrayProperty("Binning", [0.5, -0.004, 7.0]),
"Min, Step, and Max of d-space bins. Logarithmic binning is used if Step is negative."
)
nor_corr = [
"None", "From Workspace", "From Processed Nexus",
"Extracted from Data"
]
self.declareProperty(
"Normalization", nor_corr[0], StringListValidator(nor_corr),
"If needed what type of input to use as normalization, Extracted from "
+
"Data uses a background determination that is peak independent.This "
+
"implemantation can be tested in algorithm SNAP Peak Clipping Background"
)
self.declareProperty(
FileProperty(name="NormalizationFilename",
defaultValue="",
direction=Direction.Input,
action=FileAction.OptionalLoad),
doc="The file containing the processed nexus for normalization.")
self.declareProperty(
WorkspaceProperty("NormalizationWorkspace", "", Direction.Input,
PropertyMode.Optional),
"The workspace containing the normalization data.")
validator_peak_clipping = IntBoundedValidator(lower=4, upper=15)
self.declareProperty(
name="PeakClippingWindowSize",
defaultValue=10,
validator=validator_peak_clipping,
doc=
"Read live data - requires a saved run in the current IPTS with the same "
"instrument configuration")
validator_smoothing_range = IntBoundedValidator(lower=1, upper=20)
self.declareProperty(
name="SmoothingRange",
defaultValue=10,
validator=validator_smoothing_range,
doc=
"Read live data - requires a saved run in the current IPTS with the same "
"instrument configuration")
grouping = ["All", "Column", "Banks", "Modules", "2_4 Grouping"]
self.declareProperty(
"GroupDetectorsBy", grouping[0], StringListValidator(grouping),
"Detector groups to use for future focussing: " +
"All detectors as one group, Groups (East,West for " +
"SNAP), Columns for SNAP, detector banks")
self.declareProperty(
"MaxChunkSize", 16.,
"Specify maximum Gbytes of file to read in one chunk. Zero reads the whole file at once."
)
mode = ["Set-Up", "Production"]
self.declareProperty(
"ProcessingMode", mode[1], StringListValidator(mode),
"Set-Up Mode is used for establishing correct parameters. Production "
+ "Mode only Normalized workspace is kept for each run.")
final_units = ['dSpacing', 'MomentumTransfer', 'Wavelength']
self.declareProperty(
"FinalUnits", final_units[0], StringListValidator(final_units),
"Units to convert the data to at the end of processing")
self.declareProperty(
name="OptionalPrefix",
defaultValue="",
direction=Direction.Input,
doc="Optional Prefix to be added to workspaces and output filenames"
)
self.declareProperty(
"SaveData", False, "Save data in the following formats: Ascii- " +
"d-spacing ,Nexus Processed,GSAS and Fullprof")
self.declareProperty(FileProperty(name="OutputDirectory",
defaultValue="",
action=FileAction.OptionalDirectory),
doc='Default value is proposal shared directory')
#
# Section for the Autoreduction Configurator
#
self.declareProperty(
name='EnableConfigurator',
defaultValue=False,
direction=Direction.Input,
doc=
'Do not reduce, just save the configuration file for autoreduction'
)
config_enabled = EnabledWhenProperty('EnableConfigurator',
PropertyCriterion.IsNotDefault)
self.declareProperty(
FileProperty(name='ConfigSaveDir',
defaultValue='',
action=FileAction.OptionalDirectory),
doc=
'Default directory is /SNS/IPTS-XXXX/shared/config where XXXX is the'
'IPTS number of the first input run number')
self.setPropertySettings('ConfigSaveDir', config_enabled)
property_names = ['EnableConfigurator', 'ConfigSaveDir']
[
self.setPropertyGroup(name, 'Autoreduction Configurator')
for name in property_names
]
