FitterEngine

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Description

Config options

FitterEngine Options	Type	Description	Default
propagatorConfig	json	Propagator config
minimizerConfig	json	MinimizerInterface config
mcmcConfig	json	MinimizerInterface config
scanConfig	json	Scan config
engineType	string	The fitter engine to use (“minimizer” or “mcmc”)	minimizer
enablePreFitScan	bool	Run fit parameter scan right before the minimization	false
enablePostFitScan	bool	Run fit parameter scan right after the minimization	false
generateSamplePlots	bool	Draw sample histograms according to the PlotGenerator config	true
allParamVariations	list(double)	List of points to perform individual parameter variation
enablePca / fixGhostFitParameters	bool	Fix parameter if the effect on stat LHH is lower than pcaDeltaChi2Threshold	false
pcaDeltaChi2Threshold / ghostParameterDeltaChi2Threshold	double	LLH threshold for PCA	1E-6
fixGhostEigenParametersAfterFirstRejected	bool	Fix all next parameters once PCA has been triggered (dev)	false
throwMcBeforeFit	bool	Push MC parameter away from their prior before fitting (dev)	false
throwMcBeforeFitGain	int	Scale throws for MC parameters (dev)	1
customFitParThrow*	list	Use the custom thrown values for parameters (dev)
scaleParStepWithChi2Response	bool	Use LLH profile to scale parameter step size (dev)	false
parStepGain	bool	Boost step value with scaleParStepWithChi2Response (dev)	0.1
restoreStepSizeBeforeHesse	bool	Use back original step size for error calculation	false
debugPrintLoadedEvents	bool	Printout _debugPrintLoadedEventsNbPerSample_ loaded events (dev)	false
debugPrintLoadedEventsNbPerSample	int	Number of event to print for each sample (dev)	10

JSON sub-structures

customFitParThrow options

Options	Type	Description	Default
parIndex	int	Parameter index to move
nbSigmaAway	int	Custom throw value (in unit of sigma)