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IndirectILLReductionDIFF v1

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Summary

Performs reduction on IN16B’s diffraction data. Mode is either Doppler or BATS.

Properties

Name	Direction	Type	Default	Description
SampleRuns	Input	list of str lists	Mandatory	File path for run(s). Allowed values: [‘nxs’]
OutputWorkspace	Output	MatrixWorkspace	Mandatory	The output workspace group containing reduced data.
MaskPixelsFromStart	Input	long	10	Number of pixels to mask at the start of each tube
MaskPixelsFromEnd	Input	long	10	Number of pixels to mask at the end of each tube
Observable	Input	string	sample.temperature	If multiple files, the parameter from SampleLog to use as an index when conjoined.
Transpose	Input	boolean	True	Transpose the result.
Sum	Input	boolean	False	Sum along the scan
ComponentsToMask	Input	string		Comma separated list of component names to mask, for instance: tube_1, tube_2

Description

This algorithm reduces data acquired by the diffraction detectors of IN16B indirect geometry instrument at ILL.

Ultimately, it will handle both BATS and Doppler data, but the later is the only one implemented as of now.

Doppler

To reduce data acquired in Doppler mode, this algorithms sums data over all Doppler channels and normalize by monitor counts.

Usage

Example - IndirectILLReductionDIFF

ws = IndirectILLEnergyTransfer(Run='ILL/IN16B/276047.nxs')
print("Reduced workspace has {:d} spectra".format(ws.getItem(0).getNumberHistograms()))
print("and {:d} bins.".format(ws.getItem(0).blocksize()))

Output:

Reduced workspace has 18 spectra
and 512 bins.

Categories: AlgorithmIndex | ILL\Indirect

Source

Python: IndirectILLReductionDIFF.py