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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

long 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

../_images/IndirectCalibration-v1_wkflw.svg

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