IndirectCalibration dialog.
Table of Contents
| 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. |
| ScaleFactor | Input | number | 1 | Factor by which to scale the result. |
| OutputWorkspace | Output | Workspace | Mandatory | Output workspace for calibration data. |
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 containg histogram data.
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 MantidPlot 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.' % (
cal_ws.blocksize(), cal_ws.getNumberHistograms())
Output:
Calibration workspace has 1 bin(s) and 51 spectra.
Categories: Algorithms | Workflow | Inelastic | PythonAlgorithms | Inelastic
Python: IndirectCalibration.py