FindReflectometryLines dialog.
Table of Contents
Finds spectrum numbers corresponding to reflected and transmission lines in a line detector Reflectometry dataset.
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | Input Reflectometry Workspace |
| OutputWorkspace | Output | TableWorkspace | Mandatory | Output Spectrum Numbers |
| StartWavelength | Input | number | 0 | Start wavelength to use for x-axis cropping |
| KeepIntermediateWorkspaces | Input | boolean | False | Keeps cropped and integrated workspaces in memory after usage. |
Finds spectrum numbers corresponding to reflected and transmission lines in a line detector Reflectometry dataset.
Expects two or one, reflectometry peaks, will fail if there are more or less than this number of peaks. The first peak is taken to be from the reflected line, the second is taken to be from the transmission line. This algorithm outputs a TableWorkspace containing the spectrum number of interest.
Example:
# a simple workspace
dataX = [0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1]
dataY = [0.1, 1, 0.1, 0.2, 0.1, 2, 0.1] # Real peaks with values 1, 2, false peak with value 0.2
dataE = [0, 0, 0, 0, 0, 0, 0]
nSpec = 7
ws = CreateWorkspace(DataX=dataX, DataY=dataY, DataE=dataE, NSpec=nSpec, UnitX="Wavelength",
VerticalAxisUnit="SpectraNumber")
wsOut = FindReflectometryLines(ws, Version=1)
for i in range(wsOut.columnCount()):
print("{} {}".format(wsOut.getColumnNames()[i], wsOut.column(i)[0]))
Output:
Reflected Spectrum Number 6
Transmission Spectrum Number 2
Categories: Algorithm Index | Reflectometry
Python: FindReflectometryLines.py (last modified: 2018-10-05)