FitResolutionConvolvedModel dialog.
Table of Contents
Fits a cuts/slices from an MDEventWorkspace using a resolution function convolved with a foreground model
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MDEventWorkspace | Mandatory | The input MDEvent workspace |
| OutputWorkspace | Output | MDEventWorkspace | Mandatory | The simulated output workspace |
| OutputParameters | Output | TableWorkspace | Mandatory | The name of the TableWorkspace in which to store the final fit parameters |
| CovarianceMatrix | Output | TableWorkspace | Mandatory | The name of the TableWorkspace in which to store the final covariance matrix |
| ResolutionFunction | Input | string | Mandatory | The name of a resolution model. Allowed values: [‘TobyFitResolutionModel’] |
| ForegroundModel | Input | string | Mandatory | The name of a foreground function. Allowed values: [‘MullerAnsatz’, ‘QCoordinate’, ‘Strontium122’] |
| MaxIterations | Input | number | 20 | The maximum number of iterations to perform for the fitting |
| Parameters | Input | string | Mandatory | The parameters/attributes for the function & model. See Fit documentation for format |
Fits a dataset using a resolution function convolved with a foreground model
Categories: Algorithms | Inelastic\Quantification
C++ source: FitResolutionConvolvedModel.cpp (last modified: 2017-10-03)
C++ header: FitResolutionConvolvedModel.h (last modified: 2016-02-12)