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Table of Contents
Name | Direction | Type | Default | Description |
---|---|---|---|---|
InputWorkspace | Input | MatrixWorkspace | Mandatory | The input workspace |
InputWorkspaceIndexType | Input | string | The type of indices in the optional index set; For optimal performance WorkspaceIndex should be preferred;. Allowed values: [‘WorkspaceIndex’, ‘SpectrumNumber’] | |
InputWorkspaceIndexSet | Input | long list | An optional set of spectra that will be processed by the algorithm; If not set, all spectra will be processed; The indices in this list can be workspace indices or possibly spectrum numbers, depending on the selection made for the index type; Indices are entered as a comma-separated list of values, and/or ranges; For example, ‘4,6,10-20,1000’; | |
OutputWorkspace | Output | MatrixWorkspace | Mandatory | Name of the output workspace |
Mask (zero) spectra and the underlying detectors in a workspace. If a spectrum corresponds to more than one detector, all detectors are masked.
Example - MaskSpectra
ws = CreateWorkspace(OutputWorkspace='ws', DataX='1,1', DataY='2,2', NSpec=2)
masked = MaskSpectra(InputWorkspace=ws, InputWorkspaceIndexType='WorkspaceIndex', InputWorkspaceIndexSet='1')
print('Spectrum 0 before {} after {}'.format(ws.readY(0)[0], masked.readY(0)[0]))
print('Spectrum 1 before {} after {}'.format(ws.readY(1)[0], masked.readY(1)[0]))
Output:
Spectrum 0 before 2.0 after 2.0
Spectrum 1 before 2.0 after 0.0
Categories: AlgorithmIndex | Transforms\Masking