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ReflectometryISISLoadAndProcess v1¶

Summary ¶

Reduce ISIS reflectometry data, including optional loading and summing/slicing of the input runs.

Properties ¶

Name	Direction	Type	Default	Description
InputRunList	Input	str list	Mandatory	A list of run numbers or workspace names for the input runs. Multiple runs will be summed before reduction.
ThetaIn	Input	number	Optional	Angle in degrees
ThetaLogName	Input	string		The name ThetaIn can be found in the run log as
ReloadInvalidWorkspaces	Input	boolean	True	If true, reload input workspaces if they are of the incorrect type
GroupTOFWorkspaces	Input	boolean	True	If true, group the TOF workspaces
ROIDetectorIDs	Input	string		List of detector IDs to include
SliceWorkspace	Input	boolean	False	If true, slice the input workspace
TimeInterval	Input	dbl list		Array for lengths of time intervals for splitters: if the array is empty, then there will be one splitter created from StartTime and StopTime; if the array has one value, then if this value is positive, all splitters will have same time intervals, else the time intervals will be exponentially increasing; if the size of the array is larger than one, then the splitters can have various time interval values.
LogName	Input	string		Name of the sample log to use to filter - for example, the pulse charge is recorded in ‘ProtonCharge’.
LogValueInterval	Input	number	Optional	Delta of log value to be sliced into from min log value and max log value; if not given, then only value
UseNewFilterAlgorithm	Input	boolean	True	If true, use the new FilterEvents algorithm instead of FilterByTime.
NumberOfSlices	Input	number	Optional	The number of uniform-length slices to slice the input workspace into
SummationType	Input	string	SumInLambda	The type of summation to perform. Allowed values: [‘SumInLambda’, ‘SumInQ’]
ReductionType	Input	string	Normal	The type of reduction to perform when summing in Q. Allowed values: [‘Normal’, ‘DivergentBeam’, ‘NonFlatSample’]
IncludePartialBins	Input	boolean	False	If true then partial bins at the beginning and end of the output range are included
AnalysisMode	Input	string	PointDetectorAnalysis	Analysis mode. This property is only used when ProcessingInstructions is not set. Allowed values: [‘PointDetectorAnalysis’, ‘MultiDetectorAnalysis’]
ProcessingInstructions	Input	string		Grouping pattern of spectrum numbers to yield only the detectors of interest. See GroupDetectors for syntax.
CorrectDetectors	Input	boolean	True	Moves detectors to twoTheta if ThetaIn or ThetaLogName is given
DetectorCorrectionType	Input	string	VerticalShift	When correcting detector positions, this determines whether detectorsshould be shifted vertically or rotated around the sample position. Allowed values: [‘RotateAroundSample’, ‘VerticalShift’]
WavelengthMin	Input	number	Optional	Wavelength Min in angstroms
WavelengthMax	Input	number	Optional	Wavelength Max in angstroms
I0MonitorIndex	Input	number	Optional	I0 monitor workspace index
MonitorBackgroundWavelengthMin	Input	number	Optional	Wavelength minimum for monitor background subtraction in angstroms.
MonitorBackgroundWavelengthMax	Input	number	Optional	Wavelength maximum for monitor background subtraction in angstroms.
MonitorIntegrationWavelengthMin	Input	number	Optional	Wavelength minimum for integration in angstroms.
MonitorIntegrationWavelengthMax	Input	number	Optional	Wavelength maximum for integration in angstroms.
SubtractBackground	Input	boolean	False	If true then perform background subtraction
BackgroundProcessingInstructions	Input	string		These processing instructions will be passed to the background subtraction algorithm
BackgroundCalculationMethod	Input	string	PerDetectorAverage	The type of background reduction to perform. Allowed values: [‘PerDetectorAverage’, ‘Polynomial’, ‘AveragePixelFit’]
DegreeOfPolynomial	Input	number	0	Degree of the fitted polynomial.
CostFunction	Input	string	Least squares	The cost function to be passed to the Fit algorithm. Allowed values: [‘Least squares’, ‘Unweighted least squares’]
NormalizeByIntegratedMonitors	Input	boolean	True	Normalize by dividing by the integrated monitors.
PolarizationAnalysis	Input	boolean	False	Apply polarization corrections
FloodCorrection	Input	string	Workspace	The way to apply flood correction: Workspace - use FloodWorkspace property to get the flood workspace, ParameterFile - use parameters in the parameter file to construct and apply flood correction workspace. Allowed values: [‘Workspace’, ‘ParameterFile’]
FloodWorkspace	Input	MatrixWorkspace		A flood workspace to apply; if empty and FloodCorrection is ‘Workspace’ then no correction is applied.
CorrectionAlgorithm	Input	string	AutoDetect	The type of correction to perform. Allowed values: [‘None’, ‘AutoDetect’, ‘PolynomialCorrection’, ‘ExponentialCorrection’]
Polynomial	Input	dbl list		Coefficients to be passed to the PolynomialCorrection algorithm.
C0	Input	number	0	C0 value to be passed to the ExponentialCorrection algorithm.
C1	Input	number	0	C1 value to be passed to the ExponentialCorrection algorithm.
FirstTransmissionRunList	Input	str list		A list of run numbers or workspace names for the first transmission run. Multiple runs will be summed before reduction.
SecondTransmissionRunList	Input	str list		A list of run numbers or workspace names for the second transmission run. Multiple runs will be summed before reduction.
Params	Input	dbl list		A comma separated list of first bin boundary, width, last bin boundary. These parameters are used for stitching together transmission runs. Values are in wavelength (angstroms). This input is only needed if a SecondTransmission run is provided.
StartOverlap	Input	number	Optional	Start wavelength for stitching transmission runs together. Only used if a second transmission run is provided.
EndOverlap	Input	number	Optional	End wavelength (angstroms) for stitching transmission runs together. Only used if a second transmission run is provided.
ScaleRHSWorkspace	Input	boolean	True	Scale the right-hand-side or left-hand-side workspace. Only used if a second transmission run is provided.
TransmissionProcessingInstructions	Input	string		These processing instructions will be passed to the transmission workspace algorithm
Debug	Input	boolean	False	Whether to enable the output of extra workspaces.
MomentumTransferMin	Input	number	Optional	Minimum Q value in IvsQ Workspace. Used for Rebinning the IvsQ Workspace
MomentumTransferStep	Input	number	Optional	Resolution value in IvsQ Workspace. Used for Rebinning the IvsQ Workspace. This value will be made minus to apply logarithmic rebinning. If you wish to have linear bin-widths then please provide a negative value.
MomentumTransferMax	Input	number	Optional	Maximum Q value in IvsQ Workspace. Used for Rebinning the IvsQ Workspace
ScaleFactor	Input	number	Optional	Factor you wish to scale Q workspace by.
OutputWorkspaceBinned	Output	MatrixWorkspace		Output workspace in Q (rebinned workspace)
OutputWorkspace	Output	MatrixWorkspace		Output workspace in Q (native binning)
OutputWorkspaceWavelength	Output	MatrixWorkspace		Output workspace in wavelength
OutputWorkspaceTransmission	Output	MatrixWorkspace		Output transmissison workspace in wavelength
OutputWorkspaceFirstTransmission	Output	MatrixWorkspace		First transmissison workspace in wavelength
OutputWorkspaceSecondTransmission	Output	MatrixWorkspace		Second transmissison workspace in wavelength

ReflectometryISISLoadAndProcess ¶

This algorithm performs full preparation and processing for a single run or combined set of runs in an ISIS reflectometry reduction. Note that a set of runs here is a set that will be combined prior to reduction (it does not deal with a group of runs that will be post-processed after reduction). This algorithm is primarily aimed at reducing a single row in the table on the ISIS Reflectometry interface.

The steps this algorithm performs are:

Ensure workspaces are loaded and are of the correct type.
Sum multiple input runs into a single workspace, if there is more than one.
Sum multiple transmission runs into a single workspace, if there is more than one.
Perform background subtraction, if requested.
Perform time-slicing of the input run, if requested.
Perform the reduction.
Clean up the TOF workspaces into a group.

Input runs and transmission runs are loaded if required, or existing workspaces are used if they are already loaded. When runs are loaded, they are named based on the run number with a TOF_ or TRANS_ prefix. To determine whether workspaces are already loaded, workspace names are matched based on the run number with or without this prefix. Other naming formats are not considered to match.

If time slicing is enabled, the input run must be an event workspace and have monitors loaded; otherwise, it must be a histogram workspace. If the workspace already exists but is the incorrect type or is missing monitors, it will be reloaded.

Input runs can be combined before reduction by supplying a comma-separated list of run numbers. They will be summed using the Plus v1 algorithm. Similarly, multiple input workspaces for the first and/or second transmission inputs can be summed prior to reduction.

If SubtractBackground is true, then background subtraction will be performed using the ReflectometryBackgroundSubtraction v1 algorithm. There are various options for specifying how the subtraction should be done.

If SliceWorkspace is true, the time slicing will be performed using the ReflectometrySliceEventWorkspace v1 algorithm. Various options are available for specifying the filter to use and slicing can be done by time or by log value.

The reduction is performed using ReflectometryReductionOneAuto v3.

Finally, the TOF workspaces are cleaned up by grouping them into a workspace group named TOF. If a group by this name already exists then they will be added to that group.

Usage ¶

Note

To run these usage examples please first download the usage data, and add these to your path. In Mantid this is done using Manage User Directories.

Example: Run reduction on a single run

ReflectometryISISLoadAndProcess(InputRunList='INTER13460')
names = mtd.getObjectNames()
names.sort()
print('Workspaces in the ADS after reduction: {}'.format(names))

Output:

Workspaces in the ADS after reduction: ['IvsQ_13460', 'IvsQ_binned_13460', 'TOF', 'TOF_13460']

Example: Sum multiple input runs

ReflectometryISISLoadAndProcess(InputRunList='INTER13460, INTER13462')
names = mtd.getObjectNames()
names.sort()
print('Workspaces in the ADS after reduction: {}'.format(names))

Output:

Workspaces in the ADS after reduction: ['IvsQ_13460+13462', 'IvsQ_binned_13460+13462', 'TOF', 'TOF_13460', 'TOF_13460+13462', 'TOF_13462']

Example: Sum multiple transmission runs into a single input

ReflectometryISISLoadAndProcess(InputRunList='INTER13460',FirstTransmissionRunList='INTER13463,INTER13464')
names = mtd.getObjectNames()
names.sort()
print('Workspaces in the ADS after reduction: {}'.format(names))

Output:

Workspaces in the ADS after reduction: ['IvsQ_13460', 'IvsQ_binned_13460', 'TOF', 'TOF_13460', 'TRANS_13463', 'TRANS_13463+13464', 'TRANS_13464', 'TRANS_LAM_13463+13464']

Example: Two separate transmission run inputs

ReflectometryISISLoadAndProcess(InputRunList='INTER13460',FirstTransmissionRunList='INTER13463',
                                SecondTransmissionRunList='INTER13464')
names = mtd.getObjectNames()
names.sort()
print('Workspaces in the ADS after reduction: {}'.format(names))

Output:

Workspaces in the ADS after reduction: ['IvsQ_13460', 'IvsQ_binned_13460', 'TOF', 'TOF_13460', 'TRANS_13463', 'TRANS_13464', 'TRANS_LAM_13463_13464']

Example: Slice input run

ReflectometryISISLoadAndProcess(InputRunList='INTER38415', SliceWorkspace=True, TimeInterval=210)
names = mtd.getObjectNames()
names.sort()
print('Workspaces in the ADS after reduction: {}'.format(names))

Output:

Workspaces in the ADS after reduction: ['IvsLam_38415', 'IvsLam_38415_sliced_0_210', 'IvsLam_38415_sliced_210_420', 'IvsLam_38415_sliced_420_610', 'IvsQ_38415', 'IvsQ_38415_sliced_0_210', 'IvsQ_38415_sliced_210_420', 'IvsQ_38415_sliced_420_610', 'IvsQ_binned_38415', 'IvsQ_binned_38415_sliced_0_210', 'IvsQ_binned_38415_sliced_210_420', 'IvsQ_binned_38415_sliced_420_610', 'TOF', 'TOF_38415', 'TOF_38415_monitors', 'TOF_38415_sliced', 'TOF_38415_sliced_0_210', 'TOF_38415_sliced_210_420', 'TOF_38415_sliced_420_610']

Source ¶

Python: ReflectometryISISLoadAndProcess.py

ReflectometryISISLoadAndProcess v1¶

Summary¶

See Also¶

Properties¶

ReflectometryISISLoadAndProcess¶

Usage¶

Source¶

Summary ¶

See Also ¶

Properties ¶

ReflectometryISISLoadAndProcess ¶

Usage ¶

Source ¶