Define a Dalitz plot according to the isobar model. More...

#include <LauSimpleFitModel.hh>

Inheritance diagram for LauSimpleFitModel:

Public Member Functions
	LauSimpleFitModel (LauAbsDPDynamics *sigDPModel)
	Constructor. More...

virtual	~LauSimpleFitModel ()
	Destructor. More...

virtual void	setNSigEvents (LauParameter *nSigEvents)
	Set the signal event yield. More...

virtual void	setNBkgndEvents (LauParameter *nBkgndEvents)
	Set the background event yield(s) More...

void	setBkgndDPModel (const TString &bkgndClass, LauAbsBkgndDPModel *bkgndModel)
	Set the background DP models. More...

void	splitSignalComponent (const TH2 dpHisto, const Bool_t upperHalf=kFALSE, const Bool_t fluctuateBins=kFALSE, LauScfMap scfMap=0)
	Split the signal component into well-reconstructed and mis-reconstructed parts. More...

void	splitSignalComponent (const Double_t scfFrac, const Bool_t fixed)
	Split the signal component into well reconstructed and mis-reconstructed parts. More...

Bool_t	useSCF () const
	Determine whether we are splitting the signal into TM and SCF parts. More...

Bool_t	useSCFHist () const
	Determine whether the SCF fraction is DP-dependent. More...

Bool_t	smearSCFDP () const
	Determine if we are smearing the SCF DP PDF. More...

void	setSignalPdf (LauAbsPdf *pdf)
	Set the signal PDF for a given variable. More...

void	setSCFPdf (LauAbsPdf *pdf)
	Set the SCF PDF for a given variable. More...

void	setBkgndPdf (const TString &bkgndClass, LauAbsPdf *pdf)
	Set the background PDF. More...

void	embedSignal (const TString &fileName, const TString &treeName, Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment=kFALSE, Bool_t useReweighting=kFALSE)
	Embed full simulation events for the signal, rather than generating toy from the PDFs. More...

void	embedBkgnd (const TString &bkgndClass, const TString &fileName, const TString &treeName, Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment=kFALSE)
	Embed full simulation events for the given background class, rather than generating toy from the PDFs. More...

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

virtual void	weightEvents (const TString &dataFileName, const TString &dataTreeName)
	Weight events based on the DP model. More...

Public Member Functions inherited from LauAbsFitModel
	LauAbsFitModel ()
	Constructor. More...

virtual	~LauAbsFitModel ()
	Destructor. More...

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

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. More...

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. More...

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

virtual Bool_t	twoStageFit () const
	Determine whether the two-stage fit is enabled. More...

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

Bool_t	useAsymmFitErrors () const
	Determine whether calculation of asymmetric errors is enabled. More...

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

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

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. More...

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

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

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

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

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

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

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

void	setNExpts (UInt_t nExperiments, UInt_t firstExperiment=0)
	Set the number of experiments and the first experiment. More...

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

UInt_t	nExpt () const
	Obtain the number of experiments. More...

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

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

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

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

void	runSlave (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileName="", const TString &addressMaster="localhost", const UInt_t portMaster=9090)
	Start the slave process for simultaneous fitting. More...

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

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

virtual 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...

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

Protected Types
typedef std::map< TString, std::pair< Int_t, Double_t > >	LauGenInfo
	Define a map to be used to store a category name and numbers. More...

typedef std::vector < LauAbsBkgndDPModel * >	LauBkgndDPModelList
	Typedef for a vector of background DP models. More...

typedef std::vector< LauPdfList >	LauBkgndPdfsList
	Typedef for a vector of background PDFs. More...

typedef std::vector < LauParameter * >	LauBkgndYieldList
	Typedef for a vector of background yields. More...

typedef std::vector < LauEmbeddedData * >	LauBkgndEmbDataList
	Typedef for a vector of embedded data objects. More...

typedef std::vector< Bool_t >	LauBkgndReuseEventsList
	Typedef for a vector of booleans to flag if events are reused. More...

Protected Types inherited from LauAbsFitModel
typedef std::vector< LauAbsPdf * >	LauPdfList
	List of Pdfs. More...

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

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

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

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

Protected Member Functions
virtual void	initialise ()
	Initialise the fit. More...

virtual void	initialiseDPModels ()
	Initialise the signal DP model. More...

virtual void	updateCoeffs ()
	Update the coefficients. More...

virtual Bool_t	genExpt ()
	Toy MC generation and fitting overloaded functions. More...

virtual void	propagateParUpdates ()
	Calculate things that depend on the fit parameters after they have been updated by Minuit. More...

virtual void	cacheInputFitVars ()
	Read in the input fit data variables, e.g. m13Sq and m23Sq. More...

virtual void	checkInitFitParams ()
	Check the initial fit parameters. More...

virtual void	finaliseFitResults (const TString &tablePrefixName)
	Get the fit results and store them. More...

virtual void	printFitFractions (std::ostream &output)
	Print the fit fractions, total DP rate and mean efficiency. More...

virtual void	writeOutTable (const TString &outputFile)
	Write the fit results in latex table format. More...

virtual void	storePerEvtLlhds ()
	Store the per event likelihood values. More...

virtual Double_t	getTotEvtLikelihood (UInt_t iEvt)
	Get the total likelihood for each event. More...

virtual void	getEvtDPLikelihood (UInt_t iEvt)
	Calculate the signal and background likelihoods for the DP for a given event. More...

virtual Double_t	getEvtSCFDPLikelihood (UInt_t iEvt)
	Calculate the SCF likelihood for the DP for a given event. More...

virtual void	getEvtExtraLikelihoods (UInt_t iEvt)
	Determine the signal and background likelihood for the extra variables for a given event. More...

virtual Double_t	getEventSum () const
	Get the total number of events. More...

void	setSignalDPParameters ()
	Set the fit parameters for the DP model. More...

void	setExtraPdfParameters ()
	Set the fit parameters for the extra PDFs. More...

void	setFitNEvents ()
	Set the initial yields. More...

void	setExtraNtupleVars ()
	Set-up other parameters that are derived from the fit results, e.g. fit fractions. More...

void	randomiseInitFitPars ()
	Randomise the initial fit parameters. More...

virtual void	setupBkgndVectors ()
	Define the length of the background vectors. More...

LauGenInfo	eventsToGenerate ()
	Determine the number of events to generate for each hypothesis. More...

Bool_t	generateSignalEvent ()
	Generate signal event. More...

Bool_t	generateBkgndEvent (UInt_t bkgndID)
	Generate background event. More...

void	setupGenNtupleBranches ()
	Setup the required ntuple branches. More...

void	setDPBranchValues ()
	Store all of the DP information. More...

void	generateExtraPdfValues (LauPdfList extraPdfs, LauEmbeddedData embeddedData)
	Generate from the extra PDFs. More...

void	addSPlotNtupleBranches (const LauPdfList *extraPdfs, const TString &prefix)
	Add sPlot branches for the extra PDFs. More...

Double_t	setSPlotNtupleBranchValues (LauPdfList *extraPdfs, const TString &prefix, UInt_t iEvt)
	Set the branches for the sPlot ntuple with extra PDFs. More...

void	updateSigEvents ()
	Update the signal events after Minuit sets background parameters. More...

virtual void	setupSPlotNtupleBranches ()
	Add branches to store experiment number and the event number within the experiment. More...

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

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

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

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

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

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

void	appendBinCentres (LauFitDataTree *inputData)
	Append fake data points to the inputData for each bin in the SCF smearing matrix. More...

Protected Member Functions inherited from LauAbsFitModel
void	initSockets ()
	Initialise socket connections for the slaves. More...

void	clearFitParVectors ()
	Clear the vectors containing fit parameters. More...

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

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

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

void	fitSlave (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Slaves required when performing a simultaneous fit. More...

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

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...

Bool_t	cacheFitData (const TString &dataFileName, const TString &dataTreeName)
	Store variables from the input file into the internal data storage. More...

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

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. More...

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. More...

virtual void	writeOutAllFitResults ()
	Write out any fit results. More...

virtual void	calculateSPlotData ()
	Calculate the sPlot data. More...

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

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...

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

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. More...

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. More...

UInt_t	addFitParameters (LauPdfList &pdfList)
	Add parameters of the PDFs in the list to the list of all fit parameters. More...

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

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

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

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

Double_t	prodPdfValue (LauPdfList &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
	Access the fit variables. More...

LauParameterPList &	fitPars ()

const LauParameterList &	extraPars () const
	Access the extra variables. More...

LauParameterList &	extraPars ()

const LauAbsRValuePList &	conPars () const
	Access the Gaussian constrained variables. More...

LauAbsRValuePList &	conPars ()

const LauFitNtuple *	fitNtuple () const
	Access the fit ntuple. More...

LauFitNtuple *	fitNtuple ()

const LauGenNtuple *	genNtuple () const
	Access the gen ntuple. More...

LauGenNtuple *	genNtuple ()

const LauGenNtuple *	sPlotNtuple () const
	Access the sPlot ntuple. More...

LauGenNtuple *	sPlotNtuple ()

const LauFitDataTree *	fitData () const
	Access the data store. More...

LauFitDataTree *	fitData ()

Double_t	nll () const
	Access the current NLL value. More...

Int_t	fitStatus () const
	Access the fit status information. More...

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

Protected Member Functions inherited from LauFitObject
	LauFitObject ()
	Constructor. More...

Private Attributes
LauAbsDPDynamics *	sigDPModel_
	The signal Dalitz plot model. More...

LauBkgndDPModelList	bkgndDPModels_
	The background Dalitz Plot model. More...

LauKinematics *	kinematics_
	The Dalitz plot kinematics object. More...

LauPdfList	signalPdfs_
	The signal PDFs. More...

LauPdfList	scfPdfs_
	The SCF PDFs. More...

LauBkgndPdfsList	bkgndPdfs_
	The background PDFs. More...

Bool_t	usingBkgnd_
	Background boolean. More...

UInt_t	nSigComp_
	Number of signal components. More...

UInt_t	nSigDPPar_
	Number of signal DP parameters. More...

UInt_t	nExtraPdfPar_
	Number of extra PDF parameters. More...

UInt_t	nNormPar_
	Number of normalisation parameters (i.e. yields) More...

std::vector< LauAbsCoeffSet * >	coeffPars_
	Magnitudes and Phases. More...

LauParArray	fitFrac_
	Fit fractions. More...

LauParArray	fitFracEffUnCorr_
	Fit fractions (uncorrected for the efficiency) More...

LauParameter	meanEff_
	The mean efficiency. More...

LauParameter	dpRate_
	The average DP rate. More...

LauParameter *	signalEvents_
	Signal yield. More...

LauBkgndYieldList	bkgndEvents_
	Background yield(s) More...

Bool_t	useSCF_
	Is the signal split into TM and SCF. More...

Bool_t	useSCFHist_
	Is the SCF fraction DP-dependent. More...

LauParameter	scfFrac_
	The (global) SCF fraction parameter. More...

LauEffModel *	scfFracHist_
	The histogram giving the DP-dependence of the SCF fraction. More...

LauScfMap *	scfMap_
	The smearing matrix for the SCF DP PDF. More...

std::vector< Double_t >	recoSCFFracs_
	The cached values of the SCF fraction for each event. More...

std::vector< Double_t >	fakeSCFFracs_
	The cached values of the SCF fraction for each bin centre. More...

std::vector< Double_t >	recoJacobians_
	The cached values of the sqDP jacobians for each event. More...

std::vector< Double_t >	fakeJacobians_
	The cached values of the sqDP jacobians for each true bin. More...

Bool_t	compareFitData_
	Run choice variables. More...

std::vector< LauComplex >	coeffs_
	The complex coefficients. More...

LauEmbeddedData *	signalTree_
	The signal event tree. More...

LauBkgndEmbDataList	bkgndTree_
	The background event tree. More...

Bool_t	reuseSignal_
	Boolean to reuse signal events. More...

Bool_t	useReweighting_
	Boolean to use reweighting. More...

LauBkgndReuseEventsList	reuseBkgnd_
	Vector of booleans to reuse background events. More...

Double_t	sigDPLike_
	Signal likelihood value. More...

Double_t	scfDPLike_
	SCF likelihood value. More...

std::vector< Double_t >	bkgndDPLike_
	Background likelihood value(s) More...

Double_t	sigExtraLike_
	Signal likelihood from extra PDFs. More...

Double_t	scfExtraLike_
	SCF likelihood from extra PDFs. More...

std::vector< Double_t >	bkgndExtraLike_
	Background likelihood value(s) from extra PDFs. More...

Double_t	sigTotalLike_
	Total signal likelihood. More...

Double_t	scfTotalLike_
	Total SCF likelihood. More...

std::vector< Double_t >	bkgndTotalLike_
	Total background likelihood(s) More...

Detailed Description

Define a Dalitz plot according to the isobar model.

A class that allows the user to define a three-body B meson Dalitz plot according to the isobar model, i.e. defining a set of resonances that have complex amplitudes that can interfere with each other.

Definition at line 44 of file LauSimpleFitModel.hh.

Member Typedef Documentation

typedef std::vector<LauAbsBkgndDPModel*> LauSimpleFitModel::LauBkgndDPModelList

protected

Typedef for a vector of background DP models.

Definition at line 169 of file LauSimpleFitModel.hh.

typedef std::vector<LauEmbeddedData*> LauSimpleFitModel::LauBkgndEmbDataList

protected

Typedef for a vector of embedded data objects.

Definition at line 178 of file LauSimpleFitModel.hh.

typedef std::vector<LauPdfList> LauSimpleFitModel::LauBkgndPdfsList

protected

Typedef for a vector of background PDFs.

Definition at line 172 of file LauSimpleFitModel.hh.

typedef std::vector<Bool_t> LauSimpleFitModel::LauBkgndReuseEventsList

protected

Typedef for a vector of booleans to flag if events are reused.

Definition at line 181 of file LauSimpleFitModel.hh.

typedef std::vector<LauParameter*> LauSimpleFitModel::LauBkgndYieldList

protected

Typedef for a vector of background yields.

Definition at line 175 of file LauSimpleFitModel.hh.

typedef std::map< TString, std::pair<Int_t,Double_t> > LauSimpleFitModel::LauGenInfo

protected

Define a map to be used to store a category name and numbers.

Definition at line 166 of file LauSimpleFitModel.hh.

Constructor & Destructor Documentation

LauSimpleFitModel::LauSimpleFitModel ( LauAbsDPDynamics * sigDPModel )

explicit

Constructor.

Parameters

[in] sigDPModel the signal DP model

Definition at line 46 of file LauSimpleFitModel.cc.

LauSimpleFitModel::~LauSimpleFitModel ( )

virtual

Destructor.

Definition at line 76 of file LauSimpleFitModel.cc.

Member Function Documentation

void LauSimpleFitModel::addSPlotNtupleBranches	(	const LauPdfList *	extraPdfs,
		const TString &	prefix
	)

protected

Add sPlot branches for the extra PDFs.

Parameters

[in]	extraPdfs	the list of extra PDFs
[in]	prefix	the list of prefixes for the branch names

Definition at line 1603 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::appendBinCentres ( LauFitDataTree * inputData )

protected

Append fake data points to the inputData for each bin in the SCF smearing matrix.

We'll be caching the DP amplitudes and efficiencies of the centres of the true bins. To do so, we attach some fake points at the end of inputData, the number of the entry minus the total number of events corresponding to the number of the histogram for that given true bin in the LauScfMap object. (What this means is that when Laura is provided with the LauScfMap object by the user, it's the latter who has to make sure that it contains the right number of histograms and in exactly the right order!)

Parameters

[in] inputData the fit data

Definition at line 1303 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::cacheInputFitVars ( )

protectedvirtual

Read in the input fit data variables, e.g. m13Sq and m23Sq.

Implements LauAbsFitModel.

Definition at line 1246 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::checkInitFitParams ( )

protectedvirtual

Check the initial fit parameters.

Implements LauAbsFitModel.

Definition at line 768 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::embedBkgnd	(	const TString &	bkgndClass,
		const TString &	fileName,
		const TString &	treeName,
		Bool_t	reuseEventsWithinEnsemble,
		Bool_t	reuseEventsWithinExperiment = `kFALSE`
	)

Embed full simulation events for the given background class, rather than generating toy from the PDFs.

Parameters

[in]	bkgndClass	the name of the background class
[in]	fileName	the name of the file containing the events
[in]	treeName	the name of the tree
[in]	reuseEventsWithinEnsemble
[in]	reuseEventsWithinExperiment

Definition at line 1971 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::embedSignal	(	const TString &	fileName,
		const TString &	treeName,
		Bool_t	reuseEventsWithinEnsemble,
		Bool_t	reuseEventsWithinExperiment = `kFALSE`,
		Bool_t	useReweighting = `kFALSE`
	)

Embed full simulation events for the signal, rather than generating toy from the PDFs.

Parameters

[in]	fileName	the name of the file containing the events
[in]	treeName	the name of the tree
[in]	reuseEventsWithinEnsemble
[in]	reuseEventsWithinExperiment
[in]	useReweighting

Definition at line 1940 of file LauSimpleFitModel.cc.

LauSimpleFitModel::LauGenInfo LauSimpleFitModel::eventsToGenerate ( )

protected

Determine the number of events to generate for each hypothesis.

Definition at line 790 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::finaliseFitResults ( const TString & tablePrefixName )

protectedvirtual

Get the fit results and store them.

Parameters

[in] tablePrefixName prefix for the name of the output file

Implements LauAbsFitModel.

Definition at line 547 of file LauSimpleFitModel.cc.

LauSPlot::NumbMap LauSimpleFitModel::fixdSpeciesNames ( ) const

protectedvirtual

Returns the names and yields of species that are fixed in the fit.

Implements LauAbsFitModel.

Definition at line 1747 of file LauSimpleFitModel.cc.

LauSPlot::NumbMap LauSimpleFitModel::freeSpeciesNames ( ) const

protectedvirtual

Returns the names and yields of species that are free in the fit.

Implements LauAbsFitModel.

Definition at line 1728 of file LauSimpleFitModel.cc.

Bool_t LauSimpleFitModel::generateBkgndEvent ( UInt_t bkgndID )

protected

Generate background event.

Parameters

[in] bkgndID ID number of the background class

Definition at line 1089 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::generateExtraPdfValues	(	LauPdfList *	extraPdfs,
		LauEmbeddedData *	embeddedData
	)

protected

Generate from the extra PDFs.

Parameters

[in]	extraPdfs	the list of extra PDFs
[in]	embeddedData	the embedded data sample

Definition at line 1185 of file LauSimpleFitModel.cc.

Bool_t LauSimpleFitModel::generateSignalEvent ( )

protected

Generate signal event.

Definition at line 961 of file LauSimpleFitModel.cc.

Bool_t LauSimpleFitModel::genExpt ( )

protectedvirtual

Toy MC generation and fitting overloaded functions.

Implements LauAbsFitModel.

Definition at line 829 of file LauSimpleFitModel.cc.

Double_t LauSimpleFitModel::getEventSum ( ) const

protectedvirtual

Get the total number of events.

Returns: the total number of events

Implements LauAbsFitModel.

Definition at line 1383 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::getEvtDPLikelihood ( UInt_t iEvt )

protectedvirtual

Calculate the signal and background likelihoods for the DP for a given event.

Parameters

[in] iEvt the event number

Definition at line 1393 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::getEvtExtraLikelihoods ( UInt_t iEvt )

protectedvirtual

Determine the signal and background likelihood for the extra variables for a given event.

Parameters

[in] iEvt the event number

Definition at line 1493 of file LauSimpleFitModel.cc.

Double_t LauSimpleFitModel::getEvtSCFDPLikelihood ( UInt_t iEvt )

protectedvirtual

Calculate the SCF likelihood for the DP for a given event.

Parameters

[in] iEvt the event number

Definition at line 1438 of file LauSimpleFitModel.cc.

Double_t LauSimpleFitModel::getTotEvtLikelihood ( UInt_t iEvt )

protectedvirtual

Get the total likelihood for each event.

Parameters

[in] iEvt the event number

Implements LauAbsFitModel.

Definition at line 1346 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::initialise ( )

protectedvirtual

Initialise the fit.

Implements LauAbsFitModel.

Definition at line 267 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::initialiseDPModels ( )

protectedvirtual

Initialise the signal DP model.

Implements LauAbsFitModel.

Definition at line 372 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::printFitFractions ( std::ostream & output )

protectedvirtual

Print the fit fractions, total DP rate and mean efficiency.

Parameters

[out] output the stream to which to print

Definition at line 680 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::propagateParUpdates ( )

protectedvirtual

Calculate things that depend on the fit parameters after they have been updated by Minuit.

Implements LauAbsFitModel.

Definition at line 1207 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::randomiseInitFitPars ( )

protected

Randomise the initial fit parameters.

Definition at line 780 of file LauSimpleFitModel.cc.

virtual Bool_t LauSimpleFitModel::scfDPSmear ( ) const

inlineprotectedvirtual

Check if the mis-reconstructed signal is to be smeared in the DP.

Implements LauAbsFitModel.

Definition at line 338 of file LauSimpleFitModel.hh.

void LauSimpleFitModel::setAmpCoeffSet ( LauAbsCoeffSet * coeffSet )

virtual

Set the DP amplitude coefficients.

Parameters

[in] coeffSet the set of coefficients

Implements LauAbsFitModel.

Definition at line 239 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setBkgndDPModel	(	const TString &	bkgndClass,
		LauAbsBkgndDPModel *	bkgndModel
	)

Set the background DP models.

Parameters

[in]	bkgndClass	the name of the background class
[in]	bkgndModel	the DP model of the background

Definition at line 181 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setBkgndPdf	(	const TString &	bkgndClass,
		LauAbsPdf *	pdf
	)

Set the background PDF.

Parameters

[in]	bkgndClass	the name of the background class
[in]	pdf	the PDF to be added to the background model

Definition at line 219 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setDPBranchValues ( )

protected

Store all of the DP information.

Definition at line 1167 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setExtraNtupleVars ( )

protected

Set-up other parameters that are derived from the fit results, e.g. fit fractions.

Definition at line 483 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setExtraPdfParameters ( )

protected

Set the fit parameters for the extra PDFs.

Definition at line 416 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setFitNEvents ( )

protected

Set the initial yields.

Definition at line 438 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setNBkgndEvents ( LauParameter * nBkgndEvents )

virtual

Set the background event yield(s)

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 background yield

Implements LauAbsFitModel.

Definition at line 118 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setNSigEvents ( LauParameter * nSigEvents )

virtual

Set the signal event yield.

Parameters

[in] nSigEvents contains the signal yield and boolean to fix it or not

Implements LauAbsFitModel.

Definition at line 98 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setSCFPdf ( LauAbsPdf * pdf )

Set the SCF PDF for a given variable.

Parameters

[in] pdf the PDF to be added to the SCF model

Definition at line 210 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setSignalDPParameters ( )

protected

Set the fit parameters for the DP model.

Definition at line 384 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setSignalPdf ( LauAbsPdf * pdf )

Set the signal PDF for a given variable.

Parameters

[in] pdf the PDF to be added to the signal model

Definition at line 201 of file LauSimpleFitModel.cc.

Double_t LauSimpleFitModel::setSPlotNtupleBranchValues	(	LauPdfList *	extraPdfs,
		const TString &	prefix,
		UInt_t	iEvt
	)

protected

Set the branches for the sPlot ntuple with extra PDFs.

Parameters

[in]	extraPdfs	the list of extra PDFs
[in]	prefix	the list of prefixes for the branch names
[in]	iEvt	the event number

Definition at line 1651 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setupBkgndVectors ( )

protectedvirtual

Define the length of the background vectors.

Implements LauAbsFitModel.

Definition at line 85 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setupGenNtupleBranches ( )

protectedvirtual

Setup the required ntuple branches.

Implements LauAbsFitModel.

Definition at line 1126 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::setupSPlotNtupleBranches ( )

protectedvirtual

Add branches to store experiment number and the event number within the experiment.

Implements LauAbsFitModel.

Definition at line 1536 of file LauSimpleFitModel.cc.

Bool_t LauSimpleFitModel::smearSCFDP ( ) const

inline

Determine if we are smearing the SCF DP PDF.

Definition at line 107 of file LauSimpleFitModel.hh.

virtual Bool_t LauSimpleFitModel::splitSignal ( ) const

inlineprotectedvirtual

Check if the signal is split into well-reconstructed and mis-reconstructed types.

Implements LauAbsFitModel.

Definition at line 335 of file LauSimpleFitModel.hh.

void LauSimpleFitModel::splitSignalComponent	(	const TH2 *	dpHisto,
		const Bool_t	upperHalf = `kFALSE`,
		const Bool_t	fluctuateBins = `kFALSE`,
		LauScfMap *	scfMap = `0`
	)

Split the signal component into well-reconstructed and mis-reconstructed parts.

The nomenclature used here is TM (truth-matched) and SCF (self cross feed) In this option, the SCF fraction is DP-dependent Can also optionally provide a smearing matrix to smear the SCF DP PDF

Parameters

[in]	dpHisto	the DP histogram of the SCF fraction value
[in]	upperHalf	whether this histogram is only in the upper half of a symmetric DP
[in]	fluctuateBins	whether the bins on the histogram should be varied in accordance with their uncertainties (for evaluation of systematic uncertainties)
[in]	scfMap	the (optional) smearing matrix

Definition at line 144 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::splitSignalComponent	(	const Double_t	scfFrac,
		const Bool_t	fixed
	)

Split the signal component into well reconstructed and mis-reconstructed parts.

The nomenclature used here is TM (truth-matched) and SCF (self cross feed) In this option, the SCF fraction is a single global number

Parameters

[in]	scfFrac	the SCF fraction value
[in]	fixed	whether the SCF fraction is fixed or floated in the fit

Definition at line 166 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::storePerEvtLlhds ( )

protectedvirtual

Store the per event likelihood values.

Implements LauAbsFitModel.

Definition at line 1828 of file LauSimpleFitModel.cc.

LauSPlot::TwoDMap LauSimpleFitModel::twodimPDFs ( ) const

protectedvirtual

Returns the species and variables for all 2D PDFs in the fit.

Implements LauAbsFitModel.

Definition at line 1766 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::updateCoeffs ( )

protectedvirtual

Update the coefficients.

Implements LauAbsFitModel.

Definition at line 1527 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::updateSigEvents ( )

protected

Update the signal events after Minuit sets background parameters.

Definition at line 1221 of file LauSimpleFitModel.cc.

Bool_t LauSimpleFitModel::useSCF ( ) const

inline

Determine whether we are splitting the signal into TM and SCF parts.

Definition at line 101 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::useSCFHist ( ) const

inline

Determine whether the SCF fraction is DP-dependent.

Definition at line 104 of file LauSimpleFitModel.hh.

LauSPlot::NameSet LauSimpleFitModel::variableNames ( ) const

protectedvirtual

Returns the names of all variables in the fit.

Implements LauAbsFitModel.

Definition at line 1708 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::weightEvents	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

virtual

Weight events based on the DP model.

Parameters

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

Implements LauAbsFitModel.

Definition at line 2008 of file LauSimpleFitModel.cc.

void LauSimpleFitModel::writeOutTable ( const TString & outputFile )

protectedvirtual

Write the fit results in latex table format.

Parameters

[in] outputFile the name of the output file

Implements LauAbsFitModel.

Definition at line 690 of file LauSimpleFitModel.cc.

Member Data Documentation

std::vector<Double_t> LauSimpleFitModel::bkgndDPLike_

private

Background likelihood value(s)

Definition at line 465 of file LauSimpleFitModel.hh.

LauBkgndDPModelList LauSimpleFitModel::bkgndDPModels_

private

The background Dalitz Plot model.

Definition at line 358 of file LauSimpleFitModel.hh.

LauBkgndYieldList LauSimpleFitModel::bkgndEvents_

private

Background yield(s)

Definition at line 406 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::bkgndExtraLike_

private

Background likelihood value(s) from extra PDFs.

Definition at line 474 of file LauSimpleFitModel.hh.

LauBkgndPdfsList LauSimpleFitModel::bkgndPdfs_

private

The background PDFs.

Definition at line 370 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::bkgndTotalLike_

private

Total background likelihood(s)

Definition at line 483 of file LauSimpleFitModel.hh.

LauBkgndEmbDataList LauSimpleFitModel::bkgndTree_

private

The background event tree.

Definition at line 447 of file LauSimpleFitModel.hh.

std::vector<LauAbsCoeffSet*> LauSimpleFitModel::coeffPars_

private

Magnitudes and Phases.

Definition at line 388 of file LauSimpleFitModel.hh.

std::vector<LauComplex> LauSimpleFitModel::coeffs_

private

The complex coefficients.

Definition at line 439 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::compareFitData_

private

Run choice variables.

Definition at line 436 of file LauSimpleFitModel.hh.

LauParameter LauSimpleFitModel::dpRate_

private

The average DP rate.

Definition at line 400 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::fakeJacobians_

private

The cached values of the sqDP jacobians for each true bin.

Definition at line 433 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::fakeSCFFracs_

private

The cached values of the SCF fraction for each bin centre.

Definition at line 427 of file LauSimpleFitModel.hh.

LauParArray LauSimpleFitModel::fitFrac_

private

Fit fractions.

Definition at line 391 of file LauSimpleFitModel.hh.

LauParArray LauSimpleFitModel::fitFracEffUnCorr_

private

Fit fractions (uncorrected for the efficiency)

Definition at line 394 of file LauSimpleFitModel.hh.

LauKinematics* LauSimpleFitModel::kinematics_

private

The Dalitz plot kinematics object.

Definition at line 361 of file LauSimpleFitModel.hh.

LauParameter LauSimpleFitModel::meanEff_

private

The mean efficiency.

Definition at line 397 of file LauSimpleFitModel.hh.

UInt_t LauSimpleFitModel::nExtraPdfPar_

private

Number of extra PDF parameters.

Definition at line 382 of file LauSimpleFitModel.hh.

UInt_t LauSimpleFitModel::nNormPar_

private

Number of normalisation parameters (i.e. yields)

Definition at line 385 of file LauSimpleFitModel.hh.

UInt_t LauSimpleFitModel::nSigComp_

private

Number of signal components.

Definition at line 376 of file LauSimpleFitModel.hh.

UInt_t LauSimpleFitModel::nSigDPPar_

private

Number of signal DP parameters.

Definition at line 379 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::recoJacobians_

private

The cached values of the sqDP jacobians for each event.

Definition at line 430 of file LauSimpleFitModel.hh.

std::vector<Double_t> LauSimpleFitModel::recoSCFFracs_

private

The cached values of the SCF fraction for each event.

Definition at line 424 of file LauSimpleFitModel.hh.

LauBkgndReuseEventsList LauSimpleFitModel::reuseBkgnd_

private

Vector of booleans to reuse background events.

Definition at line 456 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::reuseSignal_

private

Boolean to reuse signal events.

Definition at line 450 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::scfDPLike_

private

SCF likelihood value.

Definition at line 462 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::scfExtraLike_

private

SCF likelihood from extra PDFs.

Definition at line 471 of file LauSimpleFitModel.hh.

LauParameter LauSimpleFitModel::scfFrac_

private

The (global) SCF fraction parameter.

Definition at line 415 of file LauSimpleFitModel.hh.

LauEffModel* LauSimpleFitModel::scfFracHist_

private

The histogram giving the DP-dependence of the SCF fraction.

Definition at line 418 of file LauSimpleFitModel.hh.

LauScfMap* LauSimpleFitModel::scfMap_

private

The smearing matrix for the SCF DP PDF.

Definition at line 421 of file LauSimpleFitModel.hh.

LauPdfList LauSimpleFitModel::scfPdfs_

private

The SCF PDFs.

Definition at line 367 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::scfTotalLike_

private

Total SCF likelihood.

Definition at line 480 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::sigDPLike_

private

Signal likelihood value.

Definition at line 459 of file LauSimpleFitModel.hh.

LauAbsDPDynamics* LauSimpleFitModel::sigDPModel_

private

The signal Dalitz plot model.

Definition at line 355 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::sigExtraLike_

private

Signal likelihood from extra PDFs.

Definition at line 468 of file LauSimpleFitModel.hh.

LauParameter* LauSimpleFitModel::signalEvents_

private

Signal yield.

Definition at line 403 of file LauSimpleFitModel.hh.

LauPdfList LauSimpleFitModel::signalPdfs_

private

The signal PDFs.

Definition at line 364 of file LauSimpleFitModel.hh.

LauEmbeddedData* LauSimpleFitModel::signalTree_

private

The signal event tree.

Definition at line 444 of file LauSimpleFitModel.hh.

Double_t LauSimpleFitModel::sigTotalLike_

private

Total signal likelihood.

Definition at line 477 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::useReweighting_

private

Boolean to use reweighting.

Definition at line 453 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::useSCF_

private

Is the signal split into TM and SCF.

Definition at line 409 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::useSCFHist_

private

Is the SCF fraction DP-dependent.

Definition at line 412 of file LauSimpleFitModel.hh.

Bool_t LauSimpleFitModel::usingBkgnd_

private

Background boolean.

Definition at line 373 of file LauSimpleFitModel.hh.

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

inc/LauSimpleFitModel.hh
src/LauSimpleFitModel.cc

Public Member Functions

Protected Types

Protected Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation