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: Algorithm Index | Inelastic\Quantification
C++ source: FitResolutionConvolvedModel.cpp (last modified: 2018-10-05)
C++ header: FitResolutionConvolvedModel.h (last modified: 2018-10-05)