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ApplyDetectorScanEffCorr dialog.
Table of Contents
Applies the calibration workspace generated by PowderILLEfficiency to data loaded with LoadILLDiffraction.
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | Workspace | Mandatory | The workspace for the detector efficiency correction to be applied to. |
| DetectorEfficiencyWorkspace | Input | Workspace | Mandatory | The workspace containing the detector efficiency correction factors generated by PowderDiffILLDetEffCorr. |
| OutputWorkspace | Output | Workspace | Mandatory | The output workspace with the calibrated data. Optionally can be the same as the input workspace. |
This algorithm applies a calibration file to a workspace with a detector scan. This is currently used to support powder diffractometers D2B and D20 at the ILL, but could be used for other detector scan instruments too. This can also be used to apply a calibration to a non-detector scan instrument, but in this case the algorithm is just the multiplication of the two workspaces.
The calibration file would normally be generated by using the algorithm PowderILLEfficiency. The structure is a single column with an entry for each detector.
The data to apply the calibration to would normally be loaded by LoadILLDiffraction. The structure expected is a spectra for each time index for the first detector, followed by a spectra for each time index for the next detector and so on. This includes the monitors, which must be the first entries in the workspace, and which have no entries in the calibration file.
The calibration currently files have no errors associated, so the error in the input workspace is scaled by the calibration factor.
The bins that are masked in the calibration workspace (i.e. constant is equal to 0) will be propagated to the output workspace. That is, they will not only zero the counts of the corresponding pixel (multiplicative correction of 0), but they will also be flagged as masked. This will then allow SumOverlappingTubes to correctly treat those pixels as masked.
Categories: AlgorithmIndex | ILL\Diffraction | Diffraction\Utility
Python: ApplyDetectorScanEffCorr.py