Table of Contents
Warning
DiffractionFocussing is deprecated. Use DiffractionFocussing version 2 instead.
Algorithm to focus powder diffraction data into a number of histograms according to a grouping scheme defined in a CalFile.
Name | Direction | Type | Default | Description |
---|---|---|---|---|
InputWorkspace | Input | MatrixWorkspace | Mandatory | The input workspace |
OutputWorkspace | Output | MatrixWorkspace | Mandatory | The result of diffraction focussing of InputWorkspace |
GroupingFileName | Input | string | Mandatory | The name of the CalFile with grouping data. Allowed extensions: [‘.cal’] |
Given an
InputWorkspace and a Grouping filename, the algorithm performs the
following:
Within the CalFile any detectors with the ‘select’ flag can be set to zero or with a group number of 0 or -ve groups are not included in the analysis.
Since the new X boundaries depend on the group and not the entire workspace, this focusing algorithm does not create overestimated X ranges for multi-group instruments. However it is important to remember that this means that this algorithm outputs a ragged workspace. Some 2D and 3D plots will not display the data correctly.
The DiffractionFocussing algorithm uses GroupDetectors algorithm to combine data from several spectra according to GroupingFileName file which is a CalFile.
The algorithm can be used with an EventWorkspace input, and will create an EventWorkspace output if a different workspace is specified.
The main difference vs. using a Workspace2D is that the event lists from all the incoming pixels are simply appended in the grouped spectra; this means that you can rebin the resulting spectra to finer bins with no loss of data. In fact, it is unnecessary to bin your incoming data at all; binning can be performed as the very last step.
Categories: Algorithm Index | Diffraction\Focussing | Deprecated
C++ source: DiffractionFocussing.cpp (last modified: 2019-01-07)
C++ header: DiffractionFocussing.h (last modified: 2018-10-05)