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IndirectReplaceFitResult dialog.
Table of Contents
Replaces a fit result within the Input Workspace with the corresponding fit result found in the Single Fit Workspace.
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MatrixWorkspace | Mandatory | The result workspace containing the poor fit value which needs replacing. It’s name must end with _Result. |
| SingleFitWorkspace | Input | MatrixWorkspace | Mandatory | The result workspace containing the result data from a single fit. It’s name must end with _Result. |
| OutputWorkspace | Output | MatrixWorkspace | The name of the output workspace. |
During a sequential fit in Indirect Data Analysis, the parameters fitted for a spectrum become the start parameters for the next spectrum. This can be a problem if the next spectrum is not ‘related’ to the previous spectrum and will lead to a poor fit for that spectrum. The ReplaceIndirectFitResult algorithm allows you to replace this poorly fitted value.
This algorithm takes a _Result workspace from a sequential fit for multiple spectra (1), and a _Result workspace for a singly fit spectrum (2) and it will replace the corresponding fit data in workspace (1) with the single fit data found in workspace (2).
Note that workspaces (1) and (2) should be _Result workspaces generated by a fit with the same fit functions and minimizers. Also note that the output workspace is inserted back into the _Results workspace group in which the Input workspace (1) is found.
Uses the CopyDataRange algorithm to replace the data in workspace (1) with data in workspace (2).
Categories: AlgorithmIndex | Workflow\DataHandling | Inelastic\Indirect
Python: IndirectReplaceFitResult.py (last modified: 2020-03-27)