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LRAutoReduction v1

../_images/LRAutoReduction-v1_dlg.png

LRAutoReduction dialog.

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

Source

Python: LRAutoReduction.py