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IndirectCalibration v1

Summary

Creates a calibration workspace from a White-Beam Vanadium run.

Properties

Name	Direction	Type	Default	Description
InputFiles	Input	str list		Comma separated list of input files
DetectorRange	Input	int list	0,1	Range of detectors.
PeakRange	Input	dbl list	0,100	Time of flight range over the peak.
BackgroundRange	Input	dbl list	0,1000	Time of flight range over the background.
ScaleByFactor	Input	boolean	False	Set to True to enable Scaling, if false output will be normalised to 1.
ScaleFactor	Input	number	1	Factor by which to scale the result.
LoadLogFiles	Input	boolean	False	Option to load log files.
OutputWorkspace	Output	Workspace	Mandatory	Output workspace for calibration data.

Description

Creates a calibration workspace to be used with inelastic indirect reductions, allowing for the correction of relative detector intensities.

Either a single run file or range of runs in .raw format can be given to the algorithm which are then merged into a single run using MergeRuns, a flat background is then calculated and normalised to give the output workspace.

Note

This algorithm only supports files containing histogram data.

Workflow

Usage

Example - create calibration workspace for IRIS

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.

# Create a calibration workspace
cal_ws = IndirectCalibration(InputFiles='IRS26173.raw',
                             DetectorRange='3,53',
                             PeakRange='62500,65000',
                             BackgroundRange='59000,61500')

print('Calibration workspace has {:d} bin(s) and {:d} spectra.'.format(
       cal_ws.blocksize(), cal_ws.getNumberHistograms()))

Output:

Calibration workspace has 1 bin(s) and 51 spectra.

Categories: AlgorithmIndex | Workflow\Inelastic | Inelastic\Calibration

Source

Python: IndirectCalibration.py