Propagator

The propagator handles the engine in charge of applying parameters to the samples. It owns the parameters, the samples, and the data loader.

Option	Type	Description	Default
fitSampleSetConfig	json	SampleSet config
parameterSetListConfig	json	ParameterSetList config
dataSetList	json	DatasetManager config
plotGeneratorConfig	json	PlotGenerator config
eventTreeWriter	json	EventTreeWriter config
showEventBreakdown	bool	Print sample total weight	true
enableStatThrowInToys	bool	Throw statistical error with a poisson distribution	true
enableEventMcThrow	bool	Each MC event get reweighted with Poisson(1)	true
gaussStatThrowInToys	bool	Throw statistical error with a gaussian distribution instead	false
throwAsimovFitParameters	bool	Throw parameters of MC before fit (used to test fitter convergence)	false
reThrowParSetIfOutOfBounds	bool	If any thrown parameter of the set is out of bounds, throw again	true
globalEventReweightCap	double	Will cap the weight applied by the parameters: evWeight = baseWeight * min(parWeight, cap)	nan