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ConvertQtoHKLMDHisto v1

../_images/ConvertQtoHKLMDHisto-v1_dlg.png

ConvertQtoHKLMDHisto dialog.

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

long 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