FitResolutionConvolvedModel v1

../_images/FitResolutionConvolvedModel-v1_dlg.png

FitResolutionConvolvedModel dialog.

Summary

Fits a cuts/slices from an MDEventWorkspace using a resolution function convolved with a foreground model

Properties

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

Description

Fits a dataset using a resolution function convolved with a foreground model

Categories: Algorithm Index | Inelastic\Quantification

Source

C++ source: FitResolutionConvolvedModel.cpp (last modified: 2018-10-05)

C++ header: FitResolutionConvolvedModel.h (last modified: 2018-10-05)