DetectorFloodWeighting dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | Flood weighting measurement |
| TransmissionWorkspace | Input | MatrixWorkspace | Flood weighting measurement | |
| Bands | Input | dbl list | Wavelength bands to use. Single pair min to max. | |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | Normalized flood weighting measurement |
| SolidAngleCorrection | Input | boolean | True | Perform final solid angle correction |
This algorithm is used to calculate the detector flood weighting workspace use for pixel flood corrections. It was originally developed for the ANSTO Bilby instrument.
This algorithm crops the data over the specified wavelength region, and sums it. The algorithm will then perform a solid angle correction on each spectra via SolidAngle v1 if specified, and divides through by the provided transmission workspace if provided. The result is divided by the mean spectrum value in the previous result.
Example - Simple Generation
import numpy as np
# create histogram workspace
dataX = range(0,10) # or use dataX=range(0,10)
dataY = [1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2] # or use dataY=[1]*9
ws = CreateWorkspace(dataX, dataY, NSpec=2, UnitX="Wavelength")
out_ws = DetectorFloodWeighting(InputWorkspace=ws, Bands=[0,10], SolidAngleCorrection=False)
print 'Number Histograms',out_ws.getNumberHistograms()
print 'Min X:', out_ws.readX(0)[0], 'Max X:', out_ws.readX(0)[1]
Output:
Number Histograms 2
Min X: 0.0 Max X: 10.0
Example - With Solid Angle Correction
ws = CreateSimulationWorkspace(Instrument='LOQ', BinParams=[1,1,10], UnitX="Wavelength")
out_ws = DetectorFloodWeighting(InputWorkspace=ws, Bands=[0,10], SolidAngleCorrection=True)
print 'Number Histograms',out_ws.getNumberHistograms()
print 'Number of Bins', out_ws.blocksize()
print 'X units', out_ws.getAxis(0).getUnit().unitID()
Output:
Number Histograms 17776
Number of Bins 1
X units Wavelength
Categories: Algorithms | Workflow\SANS
Python: DetectorFloodWeighting.py