6.4

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LRAutoReduction v1

../_images/LRAutoReduction-v1_dlg.png

LRAutoReduction dialog.

Table of Contents

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 long 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 long 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