ExtractSpectra dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | The input workspace |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | Name of the output workspace |
| XMin | Input | number | Optional | An X value that is within the first (lowest X value) bin that will be retained (default: workspace min) |
| XMax | Input | number | Optional | An X value that is in the highest X value bin to be retained (default: max X) |
| StartWorkspaceIndex | Input | number | 0 | The index number of the first entry in the Workspace that will be loaded (default: first entry in the Workspace) |
| EndWorkspaceIndex | Input | number | Optional | The index number of the last entry in the Workspace to be loaded (default: last entry in the Workspace) |
| WorkspaceIndexList | Input | unsigned int list | A comma-separated list of individual workspace indices to read. Only used if explicitly set. The WorkspaceIndexList is only used if the DetectorList is empty. | |
| DetectorList | Input | int list | A comma-separated list of individual detector IDs to read. Only used if explicitly set. When specifying the WorkspaceIndexList and DetectorList property, the latter is being selected. |
Extracts a number of spectra from a MatrixWorkspace and puts them into a new workspace. Optionally it can cut the number of bins (x values). See the CropWorkspace v1 algorithm for more details on how it works for ragged workspaces and workspaces with common bin boundaries.
Example - ExtractSpectra
# Create an input workspace
ws = CreateSampleWorkspace()
print 'Input workspace has %s bins' % ws.blocksize()
print 'Input workspace has %s spectra' % ws.getNumberHistograms()
# Extract spectra 1,3 and 5 and crop the x-vector to interval 200 <= x <= 1300
cropped = ExtractSpectra(ws,200,1300,WorkspaceIndexList=[1,3,5])
print 'Output workspace has %s bins' % cropped.blocksize()
print 'Output workspace has %s spectra' % cropped.getNumberHistograms()
Output:
Input workspace has 100 bins
Input workspace has 200 spectra
Output workspace has 5 bins
Output workspace has 3 spectra
Categories: Algorithms | Transforms | Splitting