6.1

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RebinRagged v1

../_images/RebinRagged-v1_dlg.png

RebinRagged dialog.

Summary

Rebin each spectrum of a workspace independently. There is only one delta allowed per spectrum

Properties

Name Direction Type Default Description
InputWorkspace Input MatrixWorkspace Mandatory input workspace
OutputWorkspace Output MatrixWorkspace Mandatory output workspace
XMin Input dbl list   minimum x values with NaN meaning no minimum
XMax Input dbl list   maximum x values with NaN meaning no maximum
Delta Input dbl list   step parameter for rebin
PreserveEvents Input boolean True False converts event workspaces to histograms

Description

This is a workflow algorithm that rebins each spectrum of a workspace independently. This is intended for workspaces with a relatively small number of spectra (e.g. <10), but places no restrictions on the input workspace.

The minimum and maximum values that are specified are interpreted as follows:

  • One value per spectrum. If there is only one value overall, it is used for all of the spectra.
  • numpy.nan, math.nan, and np.inf are interpreted to mean use the data’s minimum or maximum x-value.

The Delta parameter is required and can either be a single number which is common to all, or one number per spectra. Positive values are interpreted as constant step-size. Negative are logorithmic.

Usage

Note

To run these usage examples please first download the usage data, and add these to your path. In Mantid this is done using Manage User Directories.

This is an example of how RebinRagged would be used near the end of a workflow to generate a real-space distribution of data after it had been reduced into a number of “banks” or “spectra.” As mentioned above, numpy.nan or math.nan can both be used. This particular use-case, which uses the input workspace’s binning, could be done with CropWorkspaceRagged with similar results.

from numpy import nan
NOM_91796 = LoadNexusProcessed(Filename='NOM_91796_banks.nxs')
RebinRagged(InputWorkspace=NOM_91796, OutputWorkspace='cropped',
                    Xmin=[0.67, 1.20, 2.42, 3.70, 4.12, 0.39],
                    Delta=0.02,
                    Xmax=[10.20, 20.8, nan, nan, nan, 9.35])

Categories: AlgorithmIndex | Transforms\Splitting

Source

Python: RebinRagged.py (last modified: 2021-02-12)