Abstract interface to the fitting and toy MC model. More...

#include <LauAbsFitModel.hh>

Inheritance diagram for LauAbsFitModel:

Public Member Functions
	LauAbsFitModel ()
	Constructor.

virtual	~LauAbsFitModel ()
	Destructor.

Bool_t	useDP () const
	Is the Dalitz plot term in the likelihood.

void	useDP (Bool_t usingDP)
	Switch on/off the Dalitz plot term in the Likelihood (allows fits to other quantities, e.g. B mass) More...

Bool_t	doSFit () const
	Return the flag to store the status of using an sFit or not.

void	doSFit (const TString &sWeightBranchName, Double_t scaleFactor=1.0)
	Do an sFit (use sWeights to isolate signal decays rather than using background histograms) More...

Bool_t	doEMLFit () const
	Determine whether an extended maximum likelihood fit it being performed.

void	doEMLFit (Bool_t emlFit)
	Choice to perform an extended maximum likelihood fit. More...

Bool_t	doPoissonSmearing () const
	Determine whether Poisson smearing is enabled for the toy MC generation.

void	doPoissonSmearing (Bool_t poissonSmear)
	Turn Poisson smearing (for the toy MC generation) on or off. More...

Bool_t	enableEmbedding () const
	Determine whether embedding of events is enabled in the generation.

void	enableEmbedding (Bool_t enable)
	Turn on or off embedding of events in the generation. More...

Bool_t	writeLatexTable () const
	Determine whether writing out of the latex table is enabled.

void	writeLatexTable (Bool_t writeTable)
	Turn on or off the writing out of the latex table. More...

Bool_t	saveFilePDF () const
	save files containing graphs of the resonance's PDFs

void	saveFilePDF (Bool_t savePDF)
	Turn on or off the save of files containing graphs of the resonance's PDFs. More...

void	writeSPlotData (const TString &fileName, const TString &treeName, Bool_t storeDPEfficiency, const TString &verbosity="q")
	Set up the sPlot ntuple. More...

Bool_t	writeSPlotData () const
	Determine whether the sPlot data is to be written out.

Bool_t	storeDPEff () const
	Determine whether the efficiency information should be stored in the sPlot ntuple.

Bool_t	useRandomInitFitPars () const
	Determine whether the initial values of the fit parameters, in particular the isobar coefficient parameters, are to be randomised.

void	useRandomInitFitPars (Bool_t boolean)
	Randomise the initial values of the fit parameters, in particular the isobar coefficient parameters.

virtual void	setBkgndClassNames (const std::vector< TString > &names)
	Setup the background class names. More...

UInt_t	nBkgndClasses () const
	Returns the number of background classes.

virtual void	setNSigEvents (LauParameter *nSigEvents)=0
	Set the number of signal events. More...

virtual void	setNBkgndEvents (LauAbsRValue *nBkgndEvents)=0
	Set the number of background events. More...

virtual void	setAmpCoeffSet (LauAbsCoeffSet *coeffSet)=0
	Set the DP amplitude coefficients. More...

void	compareFitData (UInt_t toyMCScale=10, const TString &mcFileName="fitToyMC.root", const TString &tableFileName="fitToyMCTable.tex", Bool_t poissonSmearing=kTRUE)
	Specify that a toy MC sample should be created for a successful fit to an experiment. More...

void	run (const TString &applicationCode, const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileName="")
	Start the toy generation / fitting. More...

virtual void	setParsFromMinuit (Double_t *par, Int_t npar)
	This function sets the parameter values from Minuit. More...

virtual Double_t	getTotNegLogLikelihood ()
	Calculates the total negative log-likelihood. More...

void	setParametersFromFile (const TString &fileName, const TString &treeName, const Bool_t fix)
	Set model parameters from a file. More...

void	setParametersFromMap (const std::map< TString, Double_t > &parameters, const Bool_t fix)
	Set model parameters from a given std::map. More...

void	setNamedParameters (const TString &fileName, const TString &treeName, const std::set< TString > &parameters, const Bool_t fix)
	Set named model parameters from a file. More...

void	setParametersFileFallback (const TString &fileName, const TString &treeName, const std::map< TString, Double_t > &parameters, const Bool_t fix)
	Set named model parameters from a given std::map, with fallback to those from a file. More...

virtual std::map< TString, LauComplex >	getDPAmps (const Double_t m13Sq, const Double_t m23Sq)=0
	Calculate the DP amplitude(s) for a given DP position. More...

virtual std::map< TString, Double_t >	getDPLikelihoods (const Double_t m13Sq, const Double_t m23Sq)=0
	Calculate the DP likelihood(s) for a given DP position. More...

Public Member Functions inherited from LauSimFitTask
	LauSimFitTask ()
	Constructor.

virtual	~LauSimFitTask ()
	Destructor.

UInt_t	nTasks () const
	Obtain the number of tasks.

UInt_t	taskId () const
	Obtain the ID number of this task.

virtual void	runTask (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileName="", const TString &addressCoordinator="localhost", const UInt_t portCoordinator=9090)
	Start the task process for simultaneous fitting. More...

Public Member Functions inherited from LauFitObject
virtual	~LauFitObject ()=default
	Destructor.

void	useAsymmFitErrors (Bool_t useAsymmErrors)
	Turn on or off the computation of asymmetric errors (e.g. MINOS routine in Minuit) More...

Bool_t	useAsymmFitErrors () const
	Report whether or not calculation of asymmetric errors is enabled.

void	twoStageFit (Bool_t doTwoStageFit)
	Turn on or off the two stage fit. More...

Bool_t	twoStageFit () const
	Report whether the two-stage fit is enabled.

virtual void	withinAsymErrorCalc (const Bool_t inAsymErrCalc)
	Mark that the fit is calculating asymmetric errors. More...

Bool_t	withinAsymErrorCalc () const
	Query whether the fit is calculating the asymmetric errors. More...

void	setNExpts (UInt_t nExperiments, UInt_t firstExperiment, Bool_t toyExpts)
	Set the number of experiments, the first experiment, and whether this is toy. More...

UInt_t	eventsPerExpt () const
	Obtain the total number of events in the current experiment.

UInt_t	nExpt () const
	Obtain the number of experiments.

UInt_t	firstExpt () const
	Obtain the number of the first experiment.

UInt_t	iExpt () const
	Obtain the number of the current experiment.

Bool_t	toyExpts () const
	Obtain whether this is toy.

void	addConstraint (const TString &formula, const std::vector< TString > &pars, const Double_t mean, const Double_t width)
	Store constraint information for fit parameters. More...

void	addFormulaConstraint (const TString &formula, const std::vector< TString > &pars, const Double_t mean, const Double_t width)
	Store constraint information for fit parameters. More...

void	addMultiDimConstraint (const std::vector< TString > &pars, const TVectorD &means, const TMatrixD &covMat)
	Store n-dimensional constraint information for fit parameters. More...

Protected Types
typedef std::vector< LauAbsPdf * >	LauPdfPList
	List of Pdfs.

typedef std::vector< LauParameter * >	LauParameterPList
	List of parameter pointers.

typedef std::vector< LauAbsRValue * >	LauAbsRValuePList
	List of parameter pointers.

typedef std::set< LauParameter * >	LauParameterPSet
	Set of parameter pointers.

typedef std::vector< LauParameter >	LauParameterList
	List of parameters.

typedef std::map< UInt_t, TString >	LauBkgndClassMap
	A type to store background classes.

Protected Types inherited from LauFitObject
enum	ConstraintType { ConstraintType::Formula, ConstraintType::MultDim }
	Enumeration of the different types of constraint. More...

Protected Member Functions
void	clearFitParVectors ()
	Clear the vectors containing fit parameters.

void	clearExtraVarVectors ()
	Clear the vectors containing extra ntuple variables.

virtual void	weightEvents (const TString &dataFileName, const TString &dataTreeName)=0
	Weighting - allows e.g. MC events to be weighted by the DP model. More...

virtual void	generate (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Generate toy MC. More...

virtual Bool_t	genExpt ()=0
	The method that actually generates the toy MC events for the given experiment. More...

void	fit (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Perform the total fit. More...

void	fitExpt ()
	Routine to perform the actual fit for a given experiment.

Bool_t	runMinimisation ()
	Routine to perform the minimisation. More...

void	createFitToyMC (const TString &mcFileName, const TString &tableFileName)
	Create a toy MC sample from the fitted parameters. More...

virtual UInt_t	readExperimentData ()
	Read in the data for the current experiment. More...

virtual Bool_t	verifyFitData (const TString &dataFileName, const TString &dataTreeName)
	Open the input file and verify that all required variables are present. More...

virtual void	cacheInputFitVars ()=0
	Cache the input data values to calculate the likelihood during the fit.

virtual void	cacheInputSWeights ()
	Cache the value of the sWeights to be used in the sFit.

virtual void	initialise ()=0
	Initialise the fit par vectors. More...

virtual void	recalculateNormalisation ()=0
	Recalculate normalisation the signal DP model(s)

virtual void	initialiseDPModels ()=0
	Initialise the DP models.

virtual void	updateCoeffs ()=0

virtual void	propagateParUpdates ()=0
	This function (specific to each model) calculates anything that depends on the fit parameter values.

Double_t	getLogLikelihood (UInt_t iStart, UInt_t iEnd)
	Calculate the sum of the log-likelihood over the specified events. More...

Double_t	getLogLikelihoodPenalty ()
	Calculate the penalty terms to the log likelihood from Gaussian constraints.

virtual Double_t	getTotEvtLikelihood (UInt_t iEvt)=0
	Calculates the likelihood for a given event. More...

virtual Double_t	getEventSum () const =0
	Returns the sum of the expected events over all hypotheses; used in the EML fit scenario.

virtual void	printEventInfo (UInt_t iEvt) const
	Prints the values of all the fit variables for the specified event - useful for diagnostics. More...

virtual void	printVarsInfo () const
	Same as printEventInfo, but printing out the values of the variables in the fit.

virtual void	checkInitFitParams ()=0
	Update initial fit parameters if required.

virtual void	setupResultsOutputs (const TString &histFileName, const TString &tableFileName)
	Setup saving of fit results to ntuple/LaTeX table etc. More...

virtual void	prepareInitialParArray (TObjArray &array)
	Package the initial fit parameters for transmission to the coordinator. More...

virtual void	finaliseExperiment (const LauAbsFitter::FitStatus &fitStat, const TObjArray parsFromCoordinator, const TMatrixD covMat, TObjArray &parsToCoordinator)
	Perform all finalisation actions. More...

virtual void	finaliseFitResults (const TString &tableFileName)=0
	Write the results of the fit into the ntuple. More...

virtual void	savePDFPlots (const TString &label)=0
	Save the pdf Plots for all the resonances of experiment number fitExp. More...

virtual void	savePDFPlotsWave (const TString &label, const Int_t &spin)=0
	Save the pdf Plots for the sum of ressonances correspondint to "sin" of experiment number fitExp. More...

virtual void	writeOutTable (const TString &outputFile)=0
	Write the latex table. More...

virtual void	storePerEvtLlhds ()=0
	Store the per-event likelihood values.

virtual void	calculateSPlotData ()
	Calculate the sPlot data.

void	setGenValues ()
	Make sure all parameters hold their genValue as the current value.

virtual void	setupBkgndVectors ()=0
	Method to set up the storage for background-related quantities called by setBkgndClassNames.

Bool_t	validBkgndClass (const TString &className) const
	Check if the given background class is in the list. More...

UInt_t	bkgndClassID (const TString &className) const
	The number assigned to a background class. More...

const TString &	bkgndClassName (UInt_t classID) const
	Get the name of a background class from the number. More...

virtual void	setupGenNtupleBranches ()=0
	Setup the generation ntuple branches.

virtual void	addGenNtupleIntegerBranch (const TString &name)
	Add a branch to the gen tree for storing an integer. More...

virtual void	addGenNtupleDoubleBranch (const TString &name)
	Add a branch to the gen tree for storing a double. More...

virtual void	setGenNtupleIntegerBranchValue (const TString &name, Int_t value)
	Set the value of an integer branch in the gen tree. More...

virtual void	setGenNtupleDoubleBranchValue (const TString &name, Double_t value)
	Set the value of a double branch in the gen tree. More...

virtual Int_t	getGenNtupleIntegerBranchValue (const TString &name) const
	Get the value of an integer branch in the gen tree. More...

virtual Double_t	getGenNtupleDoubleBranchValue (const TString &name) const
	Get the value of a double branch in the gen tree. More...

virtual void	fillGenNtupleBranches ()
	Fill the gen tuple branches.

virtual void	setupSPlotNtupleBranches ()=0
	Setup the branches of the sPlot tuple.

virtual void	addSPlotNtupleIntegerBranch (const TString &name)
	Add a branch to the sPlot tree for storing an integer. More...

virtual void	addSPlotNtupleDoubleBranch (const TString &name)
	Add a branch to the sPlot tree for storing a double. More...

virtual void	setSPlotNtupleIntegerBranchValue (const TString &name, Int_t value)
	Set the value of an integer branch in the sPlot tree. More...

virtual void	setSPlotNtupleDoubleBranchValue (const TString &name, Double_t value)
	Set the value of a double branch in the sPlot tree. More...

virtual void	fillSPlotNtupleBranches ()
	Fill the sPlot tuple.

virtual LauSPlot::NameSet	variableNames () const =0
	Returns the names of all variables in the fit.

virtual LauSPlot::NumbMap	freeSpeciesNames () const =0
	Returns the names and yields of species that are free in the fit.

virtual LauSPlot::NumbMap	fixdSpeciesNames () const =0
	Returns the names and yields of species that are fixed in the fit.

virtual LauSPlot::TwoDMap	twodimPDFs () const =0
	Returns the species and variables for all 2D PDFs in the fit.

virtual Bool_t	splitSignal () const =0
	Check if the signal is split into well-reconstructed and mis-reconstructed types.

virtual Bool_t	scfDPSmear () const =0
	Check if the mis-reconstructed signal is to be smeared in the DP.

UInt_t	addFitParameters (LauParameter *param, const Bool_t addFixed=kFALSE)
	Add the given parameter to the list of all fit parameters. More...

UInt_t	addFitParameters (LauAbsRValue *param, const Bool_t addFixed=kFALSE)
	Add the given parameter(s) to the list of all fit parameters. More...

UInt_t	addFitParameters (LauParameterPList &paramList, const Bool_t addFixed=kFALSE)
	Add the given parameter(s) to the list of all fit parameters. More...

UInt_t	addFitParameters (LauAbsRValuePList &paramList, const Bool_t addFixed=kFALSE)
	Add the given parameter(s) to the list of all fit parameters. More...

UInt_t	addFitParameters (LauPdfPList &pdfList, const Bool_t addFixed=kFALSE)
	Add parameters of the PDFs in the list to the list of all fit parameters. More...

UInt_t	addResonanceParameters (LauParameter *param)
	Add the given parameter to the list of resonance parameters and the list of all fit parameters. More...

UInt_t	addResonanceParameters (LauParameterPList &paramList)
	Add the given parameter(s) to the list of resonance parameters and the list of all fit parameters. More...

void	addConParameters ()
	Add parameters to the list of Gaussian constrained parameters.

void	printFitParameters (const LauPdfPList &pdfList, std::ostream &fout) const
	Print the fit parameters for all PDFs in the list. More...

void	updateFitParameters (LauPdfPList &pdfList)
	Update the fit parameters for all PDFs in the list. More...

void	cacheInfo (LauPdfPList &pdfList, const LauFitDataTree &theData)
	Have all PDFs in the list cache the data. More...

Double_t	prodPdfValue (LauPdfPList &pdfList, UInt_t iEvt)
	Calculate the product of the per-event likelihoods of the PDFs in the list. More...

Bool_t	pdfsDependOnDP () const
	Do any of the PDFs have a dependence on the DP? More...

void	pdfsDependOnDP (Bool_t dependOnDP)
	Do any of the PDFs have a dependence on the DP? More...

const LauParameterPList &	fitPars () const
	Const access to the fit variables.

const LauParameterPSet &	resPars () const
	Const access the fit variables which affect the DP normalisation.

const LauParameterList &	extraPars () const
	Const access the extra variables.

LauParameterList &	extraPars ()
	Non-const access the extra variables.

const LauAbsRValuePList &	conPars () const
	Const access the Gaussian constrained variables.

const LauGenNtuple *	genNtuple () const
	Const access the gen ntuple.

LauGenNtuple *	genNtuple ()
	Access the gen ntuple.

const LauGenNtuple *	sPlotNtuple () const
	Const access the sPlot ntuple.

LauGenNtuple *	sPlotNtuple ()
	Access the sPlot ntuple.

const LauFitDataTree *	fitData () const
	Const access the data store.

LauFitDataTree *	fitData ()
	Access the data store.

Protected Member Functions inherited from LauSimFitTask
const LauFitNtuple *	fitNtuple () const
	Const access to the fit ntuple.

LauFitNtuple *	fitNtuple ()
	Access to the fit ntuple.

void	connectToCoordinator (const TString &addressCoordinator, const UInt_t portCoordinator)
	Establish the connection to the coordinator process. More...

void	processCoordinatorRequests ()
	Listen for requests from the coordinator and act accordingly.

virtual void	writeOutAllFitResults ()
	Write out any fit results.

Protected Member Functions inherited from LauFitObject
	LauFitObject ()
	Constructor.

Bool_t	checkRepetition (const std::vector< TString > &names, const ConstraintType conType)
	Check if parameters names for constraints have already been used elsewhere. More...

void	generateConstraintMeans (std::vector< LauAbsRValue * > &conVars)
	Generate per-experiment mean for each Gaussian constraint. More...

const std::vector< FormulaConstraint > &	formulaConstraints () const
	Const access to the formula constraints store.

std::vector< FormulaConstraint > &	formulaConstraints ()
	Access to the formula constraints store.

const std::vector< MultiDimConstraint > &	multiDimConstraints () const
	Const access to the ND constraints store.

std::vector< MultiDimConstraint > &	multiDimConstraints ()
	Access to the ND constraints store.

const std::set< TString > &	formulaConstrainedPars () const
	Const access to the parameter names used in formula constraints.

std::set< TString > &	formulaConstrainedPars ()
	Access to the parameter names used in formula constraints.

const std::set< TString > &	multiDimConstrainedPars () const
	Const access to the parameter names used in ND constraints.

std::set< TString > &	multiDimConstrainedPars ()
	Access to the parameter names used in ND constraints.

void	resetFitCounters ()
	Reset the good/bad fit counters.

void	setCurrentExperiment (const UInt_t curExpt)
	Set the ID of the current experiment. More...

void	startNewFit (const UInt_t nPars, const UInt_t nFreePars)
	Indicate the start of a new fit. More...

void	eventsPerExpt (UInt_t nEvents)
	Set the number of events in the current experiment.

Double_t	worstLogLike () const
	Access the worst log likelihood found so far.

void	worstLogLike (const Double_t newWorstLogLike)
	Set a new value for the worst log likelihood. More...

void	storeFitStatus (const LauAbsFitter::FitStatus &status, const TMatrixD &covMatrix)
	Store fit status information. More...

UInt_t	nTotParams () const
	Access the total number of fit parameters.

UInt_t	nFreeParams () const
	Access the total number of fit parameters.

const LauAbsFitter::FitStatus &	fitStatus () const
	Access the fit status information.

Double_t	nll () const
	Access the current NLL value.

Double_t	edm () const
	Access the current EDM value.

Int_t	statusCode () const
	Access the fit status code.

const TMatrixD &	covarianceMatrix () const
	Access the fit covariance matrix.

UInt_t	numberOKFits () const
	Access the number of successful fits.

UInt_t	numberBadFits () const
	Access the number of failed fits.

Protected Attributes
TString	fixParamFileName_
	Imported parameters file name.

TString	fixParamTreeName_
	Imported parameters tree name.

std::map< TString, Double_t >	fixParamMap_
	Map from imported parameter name to value.

std::set< TString >	fixParamNames_
	Imported parameter names.

Bool_t	fixParams_
	Whether to fix the loaded parameters (kTRUE) or leave them floating (kFALSE)

std::set< LauParameter * >	allImportedFreeParams_
	The set of parameters that are imported (either from a file or by value) and not.

Private Member Functions
	LauAbsFitModel (const LauAbsFitModel &rhs)
	Copy constructor (not implemented)

LauAbsFitModel &	operator= (const LauAbsFitModel &rhs)
	Copy assignment operator (not implemented)

Private Attributes
Bool_t	compareFitData_
	Option to make toy from 1st successful experiment.

Bool_t	savePDF_
	Option to output a .C file of PDF's.

Bool_t	writeLatexTable_
	Option to output a Latex format table.

Bool_t	writeSPlotData_
	Option to write sPlot data.

Bool_t	storeDPEff_
	Option to store DP efficiencies in the sPlot ntuple.

Bool_t	randomFit_
	Option to randomise the initial values of the fit parameters.

Bool_t	emlFit_
	Option to perform an extended ML fit.

Bool_t	poissonSmear_
	Option to perform Poisson smearing.

Bool_t	enableEmbedding_
	Option to enable embedding.

Bool_t	usingDP_
	Option to include the DP as part of the fit.

Bool_t	pdfsDependOnDP_
	Option to state if pdfs depend on DP position.

LauParameterPList	fitVars_
	Internal vector of fit parameters.

LauParameterPSet	fitVarsSet_
	Internal set of the same fit parameters (used to check uniqueness)

LauParameterPSet	resVars_
	Internal set of fit parameters upon which the DP normalisation depends.

LauParameterList	extraVars_
	Extra variables that aren't in the fit but are stored in the ntuple.

LauAbsRValuePList	conVars_
	Internal vectors of Gaussian parameters.

LauFitDataTree *	inputFitData_
	The input data.

LauGenNtuple *	genNtuple_
	The generated ntuple.

LauGenNtuple *	sPlotNtuple_
	The sPlot ntuple.

LauBkgndClassMap	bkgndClassNames_
	The background class names.

const TString	nullString_
	An empty string.

Bool_t	doSFit_
	Option to perfom the sFit.

TString	sWeightBranchName_
	The name of the sWeight branch.

std::vector< Double_t >	sWeights_
	The vector of sWeights.

Double_t	sWeightScaleFactor_
	The sWeight scaling factor.

TStopwatch	timer_
	The fit timer.

TStopwatch	cumulTimer_
	The total fit timer.

TString	outputTableName_
	The output table name.

TString	fitToyMCFileName_
	The output file name for Toy MC.

TString	fitToyMCTableName_
	The output table name for Toy MC.

UInt_t	fitToyMCScale_
	The scaling factor (toy vs data statistics)

Bool_t	fitToyMCPoissonSmear_
	Option to perform Poisson smearing.

TString	sPlotFileName_
	The name of the sPlot file.

TString	sPlotTreeName_
	The name of the sPlot tree.

TString	sPlotVerbosity_
	Control the verbosity of the sFit.

Detailed Description

Abstract interface to the fitting and toy MC model.

Abstract interface to the fitting and toy MC model

Any class inheriting from this must implement the following functions:

Definition at line 88 of file LauAbsFitModel.hh.

Member Function Documentation

◆ addFitParameters() [1/5]

UInt_t LauAbsFitModel::addFitParameters	(	LauAbsRValue *	param,
		const Bool_t	addFixed = `kFALSE`
	)

protected

Add the given parameter(s) to the list of all fit parameters.

Parameters

[in]	param	the parameter (which may depend on other parameters)
[in]	addFixed	if true add the parameter even if it is not floating

Returns: the number of parameters added

Definition at line 955 of file LauAbsFitModel.cc.

◆ addFitParameters() [2/5]

UInt_t LauAbsFitModel::addFitParameters	(	LauAbsRValuePList &	paramList,
		const Bool_t	addFixed = `kFALSE`
	)

protected

Add the given parameter(s) to the list of all fit parameters.

Parameters

[in]	paramList	a list of parameters
[in]	addFixed	if true add the parameter even if it is not floating

Returns: the number of parameters added

Definition at line 967 of file LauAbsFitModel.cc.

◆ addFitParameters() [3/5]

UInt_t LauAbsFitModel::addFitParameters	(	LauParameter *	param,
		const Bool_t	addFixed = `kFALSE`
	)

protected

Add the given parameter to the list of all fit parameters.

Parameters

[in]	param	the parameter
[in]	addFixed	if true add the parameter even if it is not floating

Returns: the number of parameters added

Definition at line 918 of file LauAbsFitModel.cc.

◆ addFitParameters() [4/5]

UInt_t LauAbsFitModel::addFitParameters	(	LauParameterPList &	paramList,
		const Bool_t	addFixed = `kFALSE`
	)

protected

Add the given parameter(s) to the list of all fit parameters.

Parameters

[in]	paramList	a list of parameters
[in]	addFixed	if true add the parameter even if it is not floating

Returns: the number of parameters added

Definition at line 944 of file LauAbsFitModel.cc.

◆ addFitParameters() [5/5]

UInt_t LauAbsFitModel::addFitParameters	(	LauPdfPList &	pdfList,
		const Bool_t	addFixed = `kFALSE`
	)

protected

Add parameters of the PDFs in the list to the list of all fit parameters.

Parameters

[in]	pdfList	a list of Pdfs
[in]	addFixed	if true add the parameter even if it is not floating

Returns: the number of parameters added

Definition at line 978 of file LauAbsFitModel.cc.

◆ addGenNtupleDoubleBranch()

void LauAbsFitModel::addGenNtupleDoubleBranch ( const TString & name )

protectedvirtual

Add a branch to the gen tree for storing a double.

Parameters

[in] name the name of the branch

Definition at line 377 of file LauAbsFitModel.cc.

◆ addGenNtupleIntegerBranch()

void LauAbsFitModel::addGenNtupleIntegerBranch ( const TString & name )

protectedvirtual

Add a branch to the gen tree for storing an integer.

Parameters

[in] name the name of the branch

Definition at line 372 of file LauAbsFitModel.cc.

◆ addResonanceParameters() [1/2]

UInt_t LauAbsFitModel::addResonanceParameters ( LauParameter * param )

protected

Add the given parameter to the list of resonance parameters and the list of all fit parameters.

Parameters

[in] param a resonance parameter

Returns: the number of parameters added

Definition at line 994 of file LauAbsFitModel.cc.

◆ addResonanceParameters() [2/2]

UInt_t LauAbsFitModel::addResonanceParameters ( LauParameterPList & paramList )

protected

Add the given parameter(s) to the list of resonance parameters and the list of all fit parameters.

Parameters

[in] paramList a list of resonance parameters

Returns: the number of parameters added

Definition at line 1008 of file LauAbsFitModel.cc.

◆ addSPlotNtupleDoubleBranch()

void LauAbsFitModel::addSPlotNtupleDoubleBranch ( const TString & name )

protectedvirtual

Add a branch to the sPlot tree for storing a double.

Parameters

[in] name the name of the branch

Definition at line 412 of file LauAbsFitModel.cc.

◆ addSPlotNtupleIntegerBranch()

void LauAbsFitModel::addSPlotNtupleIntegerBranch ( const TString & name )

protectedvirtual

Add a branch to the sPlot tree for storing an integer.

Parameters

[in] name the name of the branch

Definition at line 407 of file LauAbsFitModel.cc.

◆ bkgndClassID()

UInt_t LauAbsFitModel::bkgndClassID ( const TString & className ) const

protected

The number assigned to a background class.

Parameters

[in] className the name of the class to check

Returns: the background class ID number

Definition at line 206 of file LauAbsFitModel.cc.

◆ bkgndClassName()

const TString & LauAbsFitModel::bkgndClassName ( UInt_t classID ) const

protected

Get the name of a background class from the number.

Parameters

[in] classID the ID number of the background class

Returns: the class name

Definition at line 227 of file LauAbsFitModel.cc.

◆ cacheInfo()

void LauAbsFitModel::cacheInfo	(	LauPdfPList &	pdfList,
		const LauFitDataTree &	theData
	)

protected

Have all PDFs in the list cache the data.

Parameters

[in]	pdfList	the list of pdfs
[in]	theData	the data from the fit

Definition at line 1125 of file LauAbsFitModel.cc.

◆ compareFitData()

void LauAbsFitModel::compareFitData	(	UInt_t	toyMCScale = `10`,
		const TString &	mcFileName = `"fitToyMC.root"`,
		const TString &	tableFileName = `"fitToyMCTable.tex"`,
		Bool_t	poissonSmearing = `kTRUE`
	)

Specify that a toy MC sample should be created for a successful fit to an experiment.

Generation uses the fitted parameters so that the user can compare the fit to the data

Parameters

[in]	toyMCScale	the scale factor to get the number of events to generate
[in]	mcFileName	the file name where the toy sample will be stored
[in]	tableFileName	name of the output tex file
[in]	poissonSmearing	turn smearing on or off

Definition at line 661 of file LauAbsFitModel.cc.

◆ createFitToyMC()

void LauAbsFitModel::createFitToyMC	(	const TString &	mcFileName,
		const TString &	tableFileName
	)

protected

Create a toy MC sample from the fitted parameters.

Parameters

[in]	mcFileName	the file name where the toy sample will be stored
[in]	tableFileName	name of the output tex file

Definition at line 673 of file LauAbsFitModel.cc.

◆ doEMLFit()

void LauAbsFitModel::doEMLFit ( Bool_t emlFit )

inline

Choice to perform an extended maximum likelihood fit.

Parameters

[in] emlFit boolean specifying whether or not to perform the EML

Definition at line 123 of file LauAbsFitModel.hh.

◆ doPoissonSmearing()

void LauAbsFitModel::doPoissonSmearing ( Bool_t poissonSmear )

inline

Turn Poisson smearing (for the toy MC generation) on or off.

Parameters

[in] poissonSmear boolean specifying whether or not to do Poisson smearing

Definition at line 132 of file LauAbsFitModel.hh.

◆ doSFit()

void LauAbsFitModel::doSFit	(	const TString &	sWeightBranchName,
		Double_t	scaleFactor = `1.0`
	)

Do an sFit (use sWeights to isolate signal decays rather than using background histograms)

Parameters

[in]	sWeightBranchName	name of the branch of the tree containing the sWeights
[in]	scaleFactor	scaling factor to get the uncertainties correct

Definition at line 158 of file LauAbsFitModel.cc.

◆ enableEmbedding()

void LauAbsFitModel::enableEmbedding ( Bool_t enable )

inline

Turn on or off embedding of events in the generation.

Parameters

[in] enable boolean specifying whether to embed events

Definition at line 141 of file LauAbsFitModel.hh.

◆ finaliseExperiment()

void LauAbsFitModel::finaliseExperiment	(	const LauAbsFitter::FitStatus &	fitStat,
		const TObjArray *	parsFromCoordinator,
		const TMatrixD *	covMat,
		TObjArray &	parsToCoordinator
	)

protectedvirtual

Perform all finalisation actions.

Receive the results of the fit from the coordinator
Perform any finalisation routines
Package the finalised fit parameters for transmission back to the coordinator

Parameters

[in]	fitStat	the status of the fit, e.g. status code, EDM, NLL
[in]	parsFromCoordinator	the parameters at the fit minimum
[in]	covMat	the fit covariance matrix
[out]	parsToCoordinator	the array to be filled with the finalised LauParameter objects

Implements LauSimFitTask.

Definition at line 1182 of file LauAbsFitModel.cc.

◆ finaliseFitResults()

virtual void LauAbsFitModel::finaliseFitResults ( const TString & tableFileName )

protectedpure virtual

Write the results of the fit into the ntuple.

Parameters

[in] tableFileName the structure containing the results of the fit

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ fit()

void LauAbsFitModel::fit	(	const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileNameBase
	)

protected

Perform the total fit.

Parameters

[in]	dataFileName	the name of the data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the name of the histogram output file
[in]	tableFileNameBase	the name the of latex output file

Definition at line 432 of file LauAbsFitModel.cc.

◆ generate()

void LauAbsFitModel::generate	(	const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileNameBase
	)

protectedvirtual

Generate toy MC.

Parameters

[in]	dataFileName	the name of the file where the generated events are stored
[in]	dataTreeName	the name of the tree used to store the variables
[in]	histFileName	the name of the histogram output file (currently not used)
[in]	tableFileNameBase	the name the latex output file

Definition at line 287 of file LauAbsFitModel.cc.

◆ genExpt()

virtual Bool_t LauAbsFitModel::genExpt ( )

protectedpure virtual

The method that actually generates the toy MC events for the given experiment.

Returns: the success/failure flag of the generation procedure

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ getDPAmps()

virtual std::map<TString, LauComplex> LauAbsFitModel::getDPAmps	(	const Double_t	m13Sq,
		const Double_t	m23Sq
	)

pure virtual

Calculate the DP amplitude(s) for a given DP position.

If not already done, this function will initialise the DP models

Parameters

[in]	m13Sq	the invariant mass squared of children 1 and 3
[in]	m23Sq	the invariant mass squared of children 2 and 3

Returns: a container of complex amplitudes, labelled to indicate to which component they belong

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ getDPLikelihoods()

virtual std::map<TString, Double_t> LauAbsFitModel::getDPLikelihoods	(	const Double_t	m13Sq,
		const Double_t	m23Sq
	)

pure virtual

Calculate the DP likelihood(s) for a given DP position.

If not already done, this function will initialise the DP models

Parameters

[in]	m13Sq	the invariant mass squared of children 1 and 3
[in]	m23Sq	the invariant mass squared of children 2 and 3

Returns: a container of likelihood values, labelled to indicate to which component they belong

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ getGenNtupleDoubleBranchValue()

Double_t LauAbsFitModel::getGenNtupleDoubleBranchValue ( const TString & name ) const

protectedvirtual

Get the value of a double branch in the gen tree.

Parameters

[in] name the name of the branch

Returns: the value of the parameter

Definition at line 397 of file LauAbsFitModel.cc.

◆ getGenNtupleIntegerBranchValue()

Int_t LauAbsFitModel::getGenNtupleIntegerBranchValue ( const TString & name ) const

protectedvirtual

Get the value of an integer branch in the gen tree.

Parameters

[in] name the name of the branch

Returns: the value of the parameter

Definition at line 392 of file LauAbsFitModel.cc.

◆ getLogLikelihood()

Double_t LauAbsFitModel::getLogLikelihood	(	UInt_t	iStart,
		UInt_t	iEnd
	)

protected

Calculate the sum of the log-likelihood over the specified events.

Parameters

[in]	iStart	the event number of the first event to be considered
[in]	iEnd	the event number of the final event to be considered

Definition at line 828 of file LauAbsFitModel.cc.

◆ getTotEvtLikelihood()

virtual Double_t LauAbsFitModel::getTotEvtLikelihood ( UInt_t iEvt )

protectedpure virtual

Calculates the likelihood for a given event.

Parameters

[in] iEvt the event number

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ getTotNegLogLikelihood()

Double_t LauAbsFitModel::getTotNegLogLikelihood ( )

virtual

Calculates the total negative log-likelihood.

This function has to be public since it is called from the global FCN. It should not be called otherwise!

Implements LauSimFitTask.

Definition at line 788 of file LauAbsFitModel.cc.

◆ initialise()

virtual void LauAbsFitModel::initialise ( )

protectedpure virtual

Initialise the fit par vectors.

Each class that inherits from this one must implement this sensibly for all vectors specified in clearFitParVectors, i.e. specify parameter names, initial, min, max and fixed values

Implements LauSimFitTask.

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ pdfsDependOnDP() [1/2]

Bool_t LauAbsFitModel::pdfsDependOnDP ( ) const

inlineprotected

Do any of the PDFs have a dependence on the DP?

Returns: the flag to indicated if there is a DP dependence

Definition at line 756 of file LauAbsFitModel.hh.

◆ pdfsDependOnDP() [2/2]

void LauAbsFitModel::pdfsDependOnDP ( Bool_t dependOnDP )

inlineprotected

Do any of the PDFs have a dependence on the DP?

Parameters

[in] dependOnDP the flag to indicated if there is a DP dependence

Definition at line 762 of file LauAbsFitModel.hh.

◆ prepareInitialParArray()

void LauAbsFitModel::prepareInitialParArray ( TObjArray & array )

protectedvirtual

Package the initial fit parameters for transmission to the coordinator.

Parameters

[out] array the array to be filled with the LauParameter objects

Implements LauSimFitTask.

Definition at line 1162 of file LauAbsFitModel.cc.

◆ printEventInfo()

void LauAbsFitModel::printEventInfo ( UInt_t iEvt ) const

protectedvirtual

Prints the values of all the fit variables for the specified event - useful for diagnostics.

Parameters

[in] iEvt the event number

Definition at line 1142 of file LauAbsFitModel.cc.

◆ printFitParameters()

void LauAbsFitModel::printFitParameters	(	const LauPdfPList &	pdfList,
		std::ostream &	fout
	)		const

protected

Print the fit parameters for all PDFs in the list.

Parameters

[in]	pdfList	a list of Pdfs
[in]	fout	the output stream to write to

Definition at line 1097 of file LauAbsFitModel.cc.

◆ prodPdfValue()

Double_t LauAbsFitModel::prodPdfValue	(	LauPdfPList &	pdfList,
		UInt_t	iEvt
	)

protected

Calculate the product of the per-event likelihoods of the PDFs in the list.

Parameters

[in]	pdfList	the list of pdfs
[in]	iEvt	the event number

Definition at line 1132 of file LauAbsFitModel.cc.

◆ readExperimentData()

UInt_t LauAbsFitModel::readExperimentData ( )

protectedvirtual

Read in the data for the current experiment.

Returns: the number of events read in

Implements LauSimFitTask.

Definition at line 1238 of file LauAbsFitModel.cc.

◆ run()

void LauAbsFitModel::run	(	const TString &	applicationCode,
		const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileName = `""`
	)

Start the toy generation / fitting.

Parameters

[in]	applicationCode	specifies what to do, perform a fit ("fit") or generate toy MC ("gen")
[in]	dataFileName	the name of the input data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the file name for the output histograms
[in]	tableFileName	the file name for the latex output file

Definition at line 92 of file LauAbsFitModel.cc.

◆ runMinimisation()

Bool_t LauAbsFitModel::runMinimisation ( )

protected

Routine to perform the minimisation.

Returns: the success/failure flag of the fit

◆ saveFilePDF()

void LauAbsFitModel::saveFilePDF ( Bool_t savePDF )

inline

Turn on or off the save of files containing graphs of the resonance's PDFs.

Parameters

[in] savePDF boolean specifying whether or not the save of files containing graphs of the resonance's PDFs

Definition at line 159 of file LauAbsFitModel.hh.

◆ savePDFPlots()

virtual void LauAbsFitModel::savePDFPlots ( const TString & label )

protectedpure virtual

Save the pdf Plots for all the resonances of experiment number fitExp.

Parameters

[in] label prefix for the file name to be saved

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ savePDFPlotsWave()

virtual void LauAbsFitModel::savePDFPlotsWave	(	const TString &	label,
		const Int_t &	spin
	)

protectedpure virtual

Save the pdf Plots for the sum of ressonances correspondint to "sin" of experiment number fitExp.

Parameters

[in]	label	prefix for the file name to be saved
[in]	spin	spin of the wave to be saved

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ setAmpCoeffSet()

virtual void LauAbsFitModel::setAmpCoeffSet ( LauAbsCoeffSet * coeffSet )

pure virtual

Set the DP amplitude coefficients.

The name of the coeffSet must match the name of one of the resonances in the DP model.

The supplied order of coefficients will be rearranged to match the order in which the resonances are stored in the dynamics, see LauIsobarDynamics::addResonance.

Parameters

[in] coeffSet the set of coefficients

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ setBkgndClassNames()

void LauAbsFitModel::setBkgndClassNames ( const std::vector< TString > & names )

virtual

Setup the background class names.

Parameters

[in] names a vector of all the background names

Definition at line 171 of file LauAbsFitModel.cc.

◆ setGenNtupleDoubleBranchValue()

void LauAbsFitModel::setGenNtupleDoubleBranchValue	(	const TString &	name,
		Double_t	value
	)

protectedvirtual

Set the value of a double branch in the gen tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 387 of file LauAbsFitModel.cc.

◆ setGenNtupleIntegerBranchValue()

void LauAbsFitModel::setGenNtupleIntegerBranchValue	(	const TString &	name,
		Int_t	value
	)

protectedvirtual

Set the value of an integer branch in the gen tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 382 of file LauAbsFitModel.cc.

◆ setNamedParameters()

void LauAbsFitModel::setNamedParameters	(	const TString &	fileName,
		const TString &	treeName,
		const std::set< TString > &	parameters,
		const Bool_t	fix
	)

Set named model parameters from a file.

Identical to setParametersFromFile, but only import parameters named from parameters set. All others are set to their values specified in the model configuration.

Parameters

[in]	fileName	the name of the file with parameters to set
[in]	treeName	the name of the tree in the file corresponding to the parameters to set
[in]	parameters	the set of parameters to import from the file
[in]	fix	whether to fix (set constant) the loaded parameters, or leave them floating

Definition at line 1264 of file LauAbsFitModel.cc.

◆ setNBkgndEvents()

virtual void LauAbsFitModel::setNBkgndEvents ( LauAbsRValue * nBkgndEvents )

pure virtual

Set the number of background events.

The name of the parameter must be that of the corresponding background category (so that it can be correctly assigned)

Parameters

[in] nBkgndEvents contains the name, yield and option to fix the yield of the background

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ setNSigEvents()

virtual void LauAbsFitModel::setNSigEvents ( LauParameter * nSigEvents )

pure virtual

Set the number of signal events.

Parameters

[in] nSigEvents contains the signal yield and option to fix it

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ setParametersFileFallback()

void LauAbsFitModel::setParametersFileFallback	(	const TString &	fileName,
		const TString &	treeName,
		const std::map< TString, Double_t > &	parameters,
		const Bool_t	fix
	)

Set named model parameters from a given std::map, with fallback to those from a file.

Parameters named in the map are imported with their specified values. All other parameters are set to the values corresponding to the value in the given file.

Parameters

[in]	fileName	the name of the file with parameters to set
[in]	treeName	the name of the tree in the file corresponding to the parameters to set
[in]	parameters	map from parameter name to imported value (override parameters form the file)
[in]	fix	whether to fix (set constant) the loaded parameters, or leave them floating

Definition at line 1275 of file LauAbsFitModel.cc.

◆ setParametersFromFile()

void LauAbsFitModel::setParametersFromFile	(	const TString &	fileName,
		const TString &	treeName,
		const Bool_t	fix
	)

Set model parameters from a file.

Parameters

[in]	fileName	the name of the file with parameters to set
[in]	treeName	the name of the tree in the file corresponding to the parameters to set
[in]	fix	whether to fix (set constant) the loaded parameters, or leave them floating

Definition at line 1248 of file LauAbsFitModel.cc.

◆ setParametersFromMap()

void LauAbsFitModel::setParametersFromMap	(	const std::map< TString, Double_t > &	parameters,
		const Bool_t	fix
	)

Set model parameters from a given std::map.

Only parameters named in the map are imported, all others are set to their values specified in the model configuration.

Parameters

[in]	parameters	map from parameter name to imported value
[in]	fix	whether to fix (set constant) the loaded parameters, or leave them floating

Definition at line 1257 of file LauAbsFitModel.cc.

◆ setParsFromMinuit()

void LauAbsFitModel::setParsFromMinuit	(	Double_t *	par,
		Int_t	npar
	)

virtual

This function sets the parameter values from Minuit.

This function has to be public since it is called from the global FCN. It should not be called otherwise!

Parameters

[in]	par	an array storing the various parameter values
[in]	npar	the number of free parameters

Implements LauSimFitTask.

Definition at line 871 of file LauAbsFitModel.cc.

◆ setSPlotNtupleDoubleBranchValue()

void LauAbsFitModel::setSPlotNtupleDoubleBranchValue	(	const TString &	name,
		Double_t	value
	)

protectedvirtual

Set the value of a double branch in the sPlot tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 422 of file LauAbsFitModel.cc.

◆ setSPlotNtupleIntegerBranchValue()

void LauAbsFitModel::setSPlotNtupleIntegerBranchValue	(	const TString &	name,
		Int_t	value
	)

protectedvirtual

Set the value of an integer branch in the sPlot tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 417 of file LauAbsFitModel.cc.

◆ setupResultsOutputs()

void LauAbsFitModel::setupResultsOutputs	(	const TString &	histFileName,
		const TString &	tableFileName
	)

protectedvirtual

Setup saving of fit results to ntuple/LaTeX table etc.

Parameters

[in]	histFileName	the file name for the output histograms
[in]	tableFileName	the file name for the latex output file

Reimplemented from LauSimFitTask.

Definition at line 550 of file LauAbsFitModel.cc.

◆ updateCoeffs()

virtual void LauAbsFitModel::updateCoeffs ( )

protectedpure virtual

For each amp in the fit this function takes its particular parameters and from them calculates the single complex number that is its coefficient. The vector of these coeffs can then be passed to the signal dynamics.

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ updateFitParameters()

void LauAbsFitModel::updateFitParameters ( LauPdfPList & pdfList )

protected

Update the fit parameters for all PDFs in the list.

Parameters

[in] pdfList a list of Pdfs

Definition at line 1090 of file LauAbsFitModel.cc.

◆ useDP()

void LauAbsFitModel::useDP ( Bool_t usingDP )

inline

Switch on/off the Dalitz plot term in the Likelihood (allows fits to other quantities, e.g. B mass)

Parameters

[in] usingDP the boolean flag

Definition at line 104 of file LauAbsFitModel.hh.

◆ validBkgndClass()

Bool_t LauAbsFitModel::validBkgndClass ( const TString & className ) const

protected

Check if the given background class is in the list.

Parameters

[in] className the name of the class to check

Returns: true or false

Definition at line 187 of file LauAbsFitModel.cc.

◆ verifyFitData()

Bool_t LauAbsFitModel::verifyFitData	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

protectedvirtual

Open the input file and verify that all required variables are present.

Parameters

[in]	dataFileName	the name of the input file
[in]	dataTreeName	the name of the input tree

Implements LauSimFitTask.

Definition at line 557 of file LauAbsFitModel.cc.

◆ weightEvents()

virtual void LauAbsFitModel::weightEvents	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

protectedpure virtual

Weighting - allows e.g. MC events to be weighted by the DP model.

Parameters

[in]	dataFileName	the name of the data file
[in]	dataTreeName	the name of the tree containing the data

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ writeLatexTable()

void LauAbsFitModel::writeLatexTable ( Bool_t writeTable )

inline

Turn on or off the writing out of the latex table.

Parameters

[in] writeTable boolean specifying whether or not the latex table should be written out

Definition at line 150 of file LauAbsFitModel.hh.

◆ writeOutTable()

virtual void LauAbsFitModel::writeOutTable ( const TString & outputFile )

protectedpure virtual

Write the latex table.

Parameters

[in] outputFile the name of the output file

Implemented in LauCPFitModel, and LauSimpleFitModel.

◆ writeSPlotData()

void LauAbsFitModel::writeSPlotData	(	const TString &	fileName,
		const TString &	treeName,
		Bool_t	storeDPEfficiency,
		const TString &	verbosity = `"q"`
	)

Set up the sPlot ntuple.

Parameters

[in]	fileName	the sPlot file name
[in]	treeName	the sPlot tree name
[in]	storeDPEfficiency	whether or not to store the efficiency information too
[in]	verbosity	define the level of output

Definition at line 266 of file LauAbsFitModel.cc.

The documentation for this class was generated from the following files:

/home/epp/phsdba/Development/Laura++/master-dev/laura/inc/LauAbsFitModel.hh
/home/epp/phsdba/Development/Laura++/master-dev/laura/src/LauAbsFitModel.cc

Public Member Functions

Protected Types

Protected Member Functions

Protected Attributes

Private Member Functions

Private Attributes

Detailed Description

Member Function Documentation

◆ addFitParameters() [1/5]

◆ addFitParameters() [2/5]

◆ addFitParameters() [3/5]

◆ addFitParameters() [4/5]

◆ addFitParameters() [5/5]

◆ addGenNtupleDoubleBranch()

◆ addGenNtupleIntegerBranch()

◆ addResonanceParameters() [1/2]

◆ addResonanceParameters() [2/2]

◆ addSPlotNtupleDoubleBranch()

◆ addSPlotNtupleIntegerBranch()

◆ bkgndClassID()

◆ bkgndClassName()

◆ cacheInfo()

◆ compareFitData()

◆ createFitToyMC()

◆ doEMLFit()

◆ doPoissonSmearing()

◆ doSFit()

◆ enableEmbedding()

◆ finaliseExperiment()

◆ finaliseFitResults()

◆ fit()

◆ generate()

◆ genExpt()

◆ getDPAmps()

◆ getDPLikelihoods()

◆ getGenNtupleDoubleBranchValue()

◆ getGenNtupleIntegerBranchValue()

◆ getLogLikelihood()

◆ getTotEvtLikelihood()

◆ getTotNegLogLikelihood()

◆ initialise()

◆ pdfsDependOnDP() [1/2]

◆ pdfsDependOnDP() [2/2]

◆ prepareInitialParArray()

◆ printEventInfo()

◆ printFitParameters()

◆ prodPdfValue()

◆ readExperimentData()

◆ run()

◆ runMinimisation()

◆ saveFilePDF()

◆ savePDFPlots()

◆ savePDFPlotsWave()

◆ setAmpCoeffSet()

◆ setBkgndClassNames()

◆ setGenNtupleDoubleBranchValue()

◆ setGenNtupleIntegerBranchValue()

◆ setNamedParameters()

◆ setNBkgndEvents()

◆ setNSigEvents()

◆ setParametersFileFallback()

◆ setParametersFromFile()

◆ setParametersFromMap()

◆ setParsFromMinuit()

◆ setSPlotNtupleDoubleBranchValue()

◆ setSPlotNtupleIntegerBranchValue()

◆ setupResultsOutputs()

◆ updateCoeffs()

◆ updateFitParameters()

◆ useDP()

◆ validBkgndClass()

◆ verifyFitData()

◆ weightEvents()

◆ writeLatexTable()

◆ writeOutTable()

◆ writeSPlotData()