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LRAutoReduction v1

Summary

Find reflectivity peak and return its pixel range.

Properties

Name	Direction	Type	Default	Description
Filename	Input	string		Data file to reduce. Allowed extensions: [‘.nxs’]
InputWorkspace	Input	Workspace		Optionally, we can provide a workspace directly
TemplateFile	Input	string		Template reduction file. Allowed extensions: [‘.xml’]
ScaleToUnity	Input	boolean	True	If true, the reflectivity under the Q cutoff will be scaled to 1
DirectBeamList	Input	int list		List of direct beam run numbers (integers)
ScalingFactorFile	Input	string		Scaling factor file. Allowed extensions: [‘.cfg’, ‘.txt’]
IncidentMedium	Input	string	medium	Name of the incident medium
ScalingFactorTOFStep	Input	number	200	Bin width in TOF for fitting scaling factors
WavelengthOffset	Input	number	0	Wavelength offset used for TOF range determination
ScalingWavelengthCutoff	Input	number	10	Wavelength above which the scaling factors are assumed to be one
ReadSequenceFromFile	Input	boolean	False	Read the run sequence information from the file, not the title
ForceSequenceNumber	Input	number	0	Force the sequence number value if it’s not available
OrderDirectBeamsByRunNumber	Input	boolean	False	Force the sequence of direct beam files to be ordered by run number
ComputeResolution	Input	boolean	True	If True, the Q resolution will be computed
OutputFilename	Input	string		Name of the reflectivity file output. Allowed values: [‘txt’]
OutputDirectory	Input	string	Mandatory
SequenceInfo	Output	int list		Run sequence information (run number, sequence ID, sequence number).
SlitTolerance	Input	number	0.02	Tolerance for matching slit positions
NormalizationType	Input	string	DirectBeam	Normalization type for reduction. Allowed values: [‘DirectBeam’, ‘WithReference’]
Refl1DModelParameters	Input	string		JSON string for Refl1D theoretical model parameters for ‘NormalizationType’==’WithReference’

Description

This algorithm gathers the information needed to launch the LR reduction. It is called by the post-processing system after a new data file is created.

If a reduction template file is provided, the reduction will use the options in that file. If no reduction template is provided, reduction parameters will be read from the Nexus file.

For sample data runs, the LiquidsReflectometryReduction algorithm is called to perform the reduction, followed by the LRReflectivityOutput algorithm to put the different pieces of the reduced data into a single reflectivity file.

For direct beams, the LRDirectBeamSort workflow algorithm is called to generate a scaling factor file.

Categories: AlgorithmIndex | Reflectometry\SNS

Source

Python: LRAutoReduction.py