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MuonGroupDetectors dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | Workspace to apply grouping to. |
| DetectorGroupingTable | Input | TableWorkspace | Mandatory | Table with detector grouping information. Check wiki page for table format expected. |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | Workspace with detectors grouped. |
Applies detector grouping to a workspace. (Muon version).
Expect the DetectorGroupingTable to contain one column only. It should be of type vector_int (std::vector). Every row corresponds to a group, and the values in the only column are IDs (not indices!) of the detectors which spectra should be contained in the group. Name of the column is not used.
One detector might be in more than one group. Empty groups are ignored. std::invalid_argument exceptions are thrown if table format is not correct, there are no non-empty groups or one of the detector IDs does not exist in the workspace.
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.
Example - Grouping MUSR data:
# Load first period of a MUSR data file
ws = LoadMuonNexus('MUSR00015189.nxs', EntryNumber=1)
# Create a table with some custom grouping
grouping = CreateEmptyTableWorkspace()
grouping.addColumn('vector_int', 'detectors')
# 3 rows = 3 groups
grouping.addRow([range(1,6)])
grouping.addRow([range(6,11)])
grouping.addRow([[2,3,4]])
grouped = MuonGroupDetectors('ws', 'grouping')
print('No. of spectra in grouped workspace: {}'.format(grouped.getNumberHistograms()))
print('Detectors grouped in spectra 0: {}'.format(list(grouped.getSpectrum(0).getDetectorIDs())))
print('Detectors grouped in spectra 1: {}'.format(list(grouped.getSpectrum(1).getDetectorIDs())))
print('Detectors grouped in spectra 2: {}'.format(list(grouped.getSpectrum(2).getDetectorIDs())))
Output:
No. of spectra in grouped workspace: 3
Detectors grouped in spectra 0: [1, 2, 3, 4, 5]
Detectors grouped in spectra 1: [6, 7, 8, 9, 10]
Detectors grouped in spectra 2: [2, 3, 4]
Example - Using grouping from data file:
# Load MUSR grouping from the Nexus file
__unused_ws = LoadMuonNexus('MUSR00015189.nxs', DetectorGroupingTable='grouping')
# Load data from a different MUSR file
ws = LoadMuonNexus('MUSR00015190.nxs')
# Use grouping from one file to group data from different file
grouped = MuonGroupDetectors('ws', 'grouping')
print('No. of periods loaded: {}'.format(grouped.size()))
print('No. of grouped spectra in first period: {}'.format(grouped.getItem(0).getNumberHistograms()))
print('No. of grouped spectra in second period: {}'.format(grouped.getItem(1).getNumberHistograms()))
Output:
No. of periods loaded: 2
No. of grouped spectra in first period: 2
No. of grouped spectra in second period: 2
Categories: AlgorithmIndex | Muon