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IndirectSampleChanger v1

Summary

Create elastic window scans for sample changer

Properties

Name	Direction	Type	Default	Description
Instrument	Input	string	IRIS	The name of the instrument. Allowed values: [‘IRIS’, ‘OSIRIS’]
Analyser	Input	string	Mandatory	The analyser bank used during run. Allowed values: [‘graphite’, ‘mica’, ‘fmica’]
Reflection	Input	string	Mandatory	Reflection number for instrument setup during run. Allowed values: [‘002’, ‘004’, ‘006’]
FirstRun	Input	number	Mandatory	First Sample run-number.
LastRun	Input	number	Mandatory	Last Sample run-number.
NumberSamples	Input	number	Mandatory	Increment for run-number.
SpectraRange	Input	int list	0,1	Comma separated range of spectra numbers to use.
ElasticRange	Input	dbl list	Mandatory	Energy range for the elastic component.
InelasticRange	Input	dbl list	Mandatory	Energy range for the inelastic component.
TotalRange	Input	dbl list	Mandatory	Energy range for the total energy component.
SampleEnvironmentLogName	Input	string	Position	Name of the sample environment log entry
SampleEnvironmentLogValue	Input	string	last_value	Value selection of the sample environment log entry. Allowed values: [‘last_value’, ‘average’]
MSDFit	Input	boolean	False	Perform an MSDFit. Do not use with GroupingMethod as “All”
WidthFit	Input	boolean	False	Perform a 2 peak width Fit. Do not use with GroupingMethod as “All”
Plot	Input	boolean	False	True to plot the output data.
Save	Input	boolean	False	True to save the output data.

Description

This algorithm takes a range of input runs that have been obtained using the Sample Changer on Indirect Inelastic Instruments at the ISIS facility. The sample changer has 3 positions. Input run numbers are associated with certain general temperature points. The algorithm uses the position of the sample to determine which specific temperature from the sample logs should be used for an ElasticWindowScan <algm-ElasticWindowScan>. From the ElasticWindowScan, the EISF (elastic incoherent scattering factor) is calculated and there is an option to run MSDFit. This is repeated for the number of different materials in the sample changer.

For example, if there are 2 different materials in the sample changer, at 3 different temperatures 10K, 20K and 300K. The algorithm would execute 2 scans, one for each sample: The first scan would be 1st, 3rd and 5th runs combined. The second scan would be 2nd, 4th, and 6th runs combined.

Categories: AlgorithmIndex | Workflow\MIDAS

Source

Python: IndirectSampleChanger.py