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ConvertQtoHKLMDHisto v1

Summary

Converts a workspace from Q sample to a MDHisto in HKL; the UB matrix can be used from the input, or calculated from peaks found from the input.

See Also

ConvertWANDSCDtoQ, BinMD, MDNorm

Properties

Name	Direction	Type	Default	Description
InputWorkspace	Input	MDEventWorkspace	Mandatory	Input MDEvent workspace to convert to a MDHisto in HKL
PeaksWorkspace	Input	IPeaksWorkspace		Optional peaks workspace to retrieve the UB matrix from, instead of InputWorkspace.
Uproj	Input	dbl list	1,0,0	Defines the first projection vector of the target Q coordinate system in HKL mode
Vproj	Input	dbl list	0,1,0	Defines the second projection vector of the target Q coordinate system in HKL mode
Wproj	Input	dbl list	0,0,1	Defines the third projection vector of the target Q coordinate system in HKL mode
Extents	Input	dbl list	-6.02,6.02,-6.02,6.02,-6.02,6.02	Binning parameters for each dimension. Enter it as acomma-separated list of values with theformat: ‘minimum,maximum,’.
Bins	Input	int list	301,301,301	Number of bins to use for each dimension, Enter it as acomma-separated list of integers.
OutputWorkspace	Output	IMDHistoWorkspace	Mandatory	Output MDWorkspace in Q-space, name is prefix if multiple input files were provided.

Description

This algorithm provides a way to convert from a MDEventWorkspace in QSample units to a MDHistoWorkspace in HKL units. By default, the UB matrix from the InputWorkspace is used unless PeaksWorkspace is provided. In this case, the UB matrix from the specified PeaksWorkspace will be used instead.

Note that this algorithm does not take into account normalization of the output, it only bins the data in HKL. See MDNorm (if using TOF) to account for normalizing when converting to HKL.

Categories: AlgorithmIndex | MDAlgorithms\Creation

Source

Python: ConvertQtoHKLMDHisto.py