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SwapWidths v1¶
SwapWidths dialog.¶
Summary¶
Creates a calibration workspace in energy trnasfer for IN16B.
Properties¶
Name |
Direction |
Type |
Default |
Description |
|---|---|---|---|---|
InputWorkspace |
Input |
Mandatory |
Input workspace |
|
SwapPoint |
Input |
number |
1 |
Swap point |
OutputWorkspace |
Output |
Mandatory |
Output workspace |
Description¶
This algorithm is used mainly in tandem with the output of BayesQuasi when the data contains multiple peaks. Quasi Lines
Usage¶
Example - a basic example using SwapWidths.
# Load workspace to perform swap with
ws = Load(Filename='IN16B_125878_QLd_Result.nxs')
# Perform Swap (data crosses at bin 5)
result = SwapWidths(InputWorkspace=ws, SwapPoint=5)
# Print the result
print("The resulting workspace has %d bins and %d histograms." % (result.blocksize(), result.getNumberHistograms()))
Output:
The resulting workspace has 16 bins and 2 histograms.
Categories: AlgorithmIndex | Workflow\MIDAS | Inelastic
Source¶
Python: SwapWidths.py