LauCPFitModel Class Reference

Class for defining a CP fit model. More...

#include <LauCPFitModel.hh>

Inheritance diagram for LauCPFitModel:

Public Member Functions
	LauCPFitModel (LauIsobarDynamics *negModel, LauIsobarDynamics *posModel, Bool_t tagged=kTRUE, const TString &tagVarName="charge")
	Constructor. More...
virtual	~LauCPFitModel ()
	Destructor. More...
virtual void	setNSigEvents (LauParameter *nSigEvents)
	Set the signal event yield. More...
virtual void	setNSigEvents (LauParameter *nSigEvents, LauParameter *sigAsym, Bool_t forceAsym=kFALSE)
	Set the signal event yield if there is an asymmetry. More...
virtual void	setNBkgndEvents (LauParameter *nBkgndEvents)
	Set the background event yield(s) More...
virtual void	setNBkgndEvents (LauParameter *nBkgndEvents, LauParameter *bkgndAsym)
	Set the background event yield(s) More...
void	setBkgndDPModels (const TString &bkgndClass, LauAbsBkgndDPModel *negModel, LauAbsBkgndDPModel *posModel)
	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	setSignalPdfs (LauAbsPdf *negPdf, LauAbsPdf *posPdf)
	Set the signal PDFs. More...
void	setSCFPdfs (LauAbsPdf *negPdf, LauAbsPdf *posPdf)
	Set the SCF PDF for a given variable. More...
void	setBkgndPdfs (const TString &bkgndClass, LauAbsPdf *negPdf, LauAbsPdf *posPdf)
	Set the background PDFs. More...
void	embedNegSignal (const TString &fileName, const TString &treeName, Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment=kFALSE, Bool_t useReweighting=kFALSE)
	Embed full simulation events for the B- signal, rather than generating toy from the PDFs. More...
void	embedNegBkgnd (const TString &bgClass, 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...
void	embedPosSignal (const TString &fileName, const TString &treeName, Bool_t reuseEventsWithinEnsemble, Bool_t reuseEventsWithinExperiment=kFALSE, Bool_t useReweighting=kFALSE)
	Embed full simulation events for the B+ signal, rather than generating toy from the PDFs. More...
void	embedPosBkgnd (const TString &bgClass, 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< std::pair < TString, Int_t >, 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::set< LauParameter * >	LauParameterPSet
	Set 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 models. More...
virtual void	recalculateNormalisation ()
	Recalculate Normalization the signal DP models. 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	printAsymmetries (std::ostream &output)
	Print the asymmetries. 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...
void	calcExtraFractions (Bool_t initValues=kFALSE)
	Calculate the CP-conserving and CP-violating fit fractions. More...
void	calcAsymmetries (Bool_t initValues=kFALSE)
	Calculate the CP asymmetries. 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 bgID)
	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...
Bool_t	storeSignalMCMatch (LauEmbeddedData *embeddedData)
	Store the MC truth info on the TM/SCF nature of the embedded signal event. 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 LauParameterPSet &	resPars () const
	Access the fit variables which affect the DP normalisation. More...
LauParameterPSet &	resPars ()
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 Member Functions
	LauCPFitModel (const LauCPFitModel &rhs)
	Copy constructor (not implemented) More...
LauCPFitModel &	operator= (const LauCPFitModel &rhs)
	Copy assignment operator (not implemented) More...

Private Attributes
LauIsobarDynamics *	negSigModel_
	The B- signal Dalitz plot model. More...
LauIsobarDynamics *	posSigModel_
	The B+ signal Dalitz plot model. More...
LauBkgndDPModelList	negBkgndDPModels_
	The B- background Dalitz plot models. More...
LauBkgndDPModelList	posBkgndDPModels_
	The B+ background Dalitz plot models. More...
LauKinematics *	negKinematics_
	The B- Dalitz plot kinematics object. More...
LauKinematics *	posKinematics_
	The B+ Dalitz plot kinematics object. More...
LauPdfList	negSignalPdfs_
	The B- signal PDFs. More...
LauPdfList	posSignalPdfs_
	The B+ signal PDFs. More...
LauPdfList	negScfPdfs_
	The B- SCF PDFs. More...
LauPdfList	posScfPdfs_
	The B+ SCF PDFs. More...
LauBkgndPdfsList	negBkgndPdfs_
	The B- background PDFs. More...
LauBkgndPdfsList	posBkgndPdfs_
	The B+ 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 (yields, asymmetries) More...
std::vector< LauAbsCoeffSet * >	coeffPars_
	Magnitudes and Phases. More...
LauParArray	negFitFrac_
	The B- fit fractions. More...
LauParArray	posFitFrac_
	The B+ fit fractions. More...
LauParArray	negFitFracEffUnCorr_
	Fit B- fractions (uncorrected for the efficiency) More...
LauParArray	posFitFracEffUnCorr_
	Fit B+ fractions (uncorrected for the efficiency) More...
LauParArray	CPVFitFrac_
	The CP violating fit fraction. More...
LauParArray	CPCFitFrac_
	The CP conserving fit fraction. More...
std::vector< LauParameter >	fitFracAsymm_
	The fit fraction asymmetries. More...
std::vector< LauParameter >	acp_
	A_CP parameter. More...
LauParameter	negMeanEff_
	The mean efficiency for B- model. More...
LauParameter	posMeanEff_
	The mean efficiency for B+ model. More...
LauParameter	negDPRate_
	The average DP rate for B-. More...
LauParameter	posDPRate_
	The average DP rate for B+. More...
LauParameter *	signalEvents_
	Signal yield. More...
LauParameter *	signalAsym_
	Signal asymmetry. More...
Bool_t	forceAsym_
	Option to force an asymmetry. More...
LauBkgndYieldList	bkgndEvents_
	Background yield(s) More...
LauBkgndYieldList	bkgndAsym_
	Background asymmetries(s) More...
const Bool_t	tagged_
	IS the analysis tagged? More...
const TString	tagVarName_
	Event charge. More...
Int_t	curEvtCharge_
	Current event charge. More...
std::vector< Int_t >	evtCharges_
	Vector to store event charges. 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...
TString	negParent_
	Name of the parent particle. More...
TString	posParent_
	Name of the parent particle. More...
std::vector< LauComplex >	negCoeffs_
	The complex coefficients for B-. More...
std::vector< LauComplex >	posCoeffs_
	The complex coefficients for B+. More...
LauEmbeddedData *	negSignalTree_
	The B- signal event tree. More...
LauEmbeddedData *	posSignalTree_
	The B+ signal event tree. More...
LauBkgndEmbDataList	negBkgndTree_
	The B- background event tree. More...
LauBkgndEmbDataList	posBkgndTree_
	The B+ background event tree. More...
Bool_t	reuseSignal_
	Boolean to reuse signal events. More...
Bool_t	useNegReweighting_
	Boolean to use reweighting for B-. More...
Bool_t	usePosReweighting_
	Boolean to use reweighting for B+. More...
LauBkgndReuseEventsList	reuseBkgnd_
	Vector of booleans to reuse background events. More...
Double_t	sigDPLike_
	Signal DP likelihood value. More...
Double_t	scfDPLike_
	SCF DP likelihood value. More...
std::vector< Double_t >	bkgndDPLike_
	Background DP 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

Class for defining a CP fit model.

LauCPFitModel is a class that allows the user to define a three-body Dalitz plot according to the isobar model, i.e. defining a set of resonances that have complex amplitudes that can interfere with each other. It extends the LauSimpleFitModel in that it allows simultaneous fitting of two parent flavours simultaneously. By default, it assumes perfect tagging of those flavours but it can also be used in an untagged scenario.

Definition at line 47 of file LauCPFitModel.hh.

Member Typedef Documentation

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

protected

Typedef for a vector of background DP models.

Definition at line 220 of file LauCPFitModel.hh.

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

protected

Typedef for a vector of embedded data objects.

Definition at line 229 of file LauCPFitModel.hh.

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

protected

Typedef for a vector of background PDFs.

Definition at line 223 of file LauCPFitModel.hh.

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

protected

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

Definition at line 232 of file LauCPFitModel.hh.

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

protected

Typedef for a vector of background yields.

Definition at line 226 of file LauCPFitModel.hh.

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

protected

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

Definition at line 217 of file LauCPFitModel.hh.

Constructor & Destructor Documentation

LauCPFitModel::LauCPFitModel	(	LauIsobarDynamics *	negModel,
		LauIsobarDynamics *	posModel,
		Bool_t	tagged = kTRUE,
		const TString &	tagVarName = "charge"
	)

Constructor.

Parameters

[in]	negModel	DP model for the antiparticle
[in]	posModel	DP model for the particle
[in]	tagged	is the analysis tagged or untagged?
[in]	tagVarName	the variable name in the data tree that specifies the event tag

Definition at line 48 of file LauCPFitModel.cc.

LauCPFitModel::~LauCPFitModel ( )

virtual

Destructor.

Definition at line 88 of file LauCPFitModel.cc.

LauCPFitModel::LauCPFitModel ( const LauCPFitModel &  rhs )

private

Copy constructor (not implemented)

Member Function Documentation

void LauCPFitModel::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 2404 of file LauCPFitModel.cc.

void LauCPFitModel::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 2007 of file LauCPFitModel.cc.

void LauCPFitModel::cacheInputFitVars ( )

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 1918 of file LauCPFitModel.cc.

void LauCPFitModel::calcAsymmetries ( Bool_t  initValues = kFALSE )

protected

Calculate the CP asymmetries.

Parameters

[in]

initValues

is this before or after the fit

Definition at line 916 of file LauCPFitModel.cc.

void LauCPFitModel::calcExtraFractions ( Bool_t  initValues = kFALSE )

protected

Calculate the CP-conserving and CP-violating fit fractions.

Parameters

[in]

initValues

is this before or after the fit

Definition at line 863 of file LauCPFitModel.cc.

void LauCPFitModel::checkInitFitParams ( )

protectedvirtual

Check the initial fit parameters.

Implements LauAbsFitModel.

Definition at line 1288 of file LauCPFitModel.cc.

void LauCPFitModel::embedNegBkgnd	(	const TString &	bgClass,
		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]	bgClass	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 2808 of file LauCPFitModel.cc.

void LauCPFitModel::embedNegSignal	(	const TString &	fileName,
		const TString &	treeName,
		Bool_t	reuseEventsWithinEnsemble,
		Bool_t	reuseEventsWithinExperiment = kFALSE,
		Bool_t	useReweighting = kFALSE
	)

Embed full simulation events for the B- 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 2782 of file LauCPFitModel.cc.

void LauCPFitModel::embedPosBkgnd	(	const TString &	bgClass,
		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]	bgClass	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 2866 of file LauCPFitModel.cc.

void LauCPFitModel::embedPosSignal	(	const TString &	fileName,
		const TString &	treeName,
		Bool_t	reuseEventsWithinEnsemble,
		Bool_t	reuseEventsWithinExperiment = kFALSE,
		Bool_t	useReweighting = kFALSE
	)

Embed full simulation events for the B+ 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 2840 of file LauCPFitModel.cc.

LauCPFitModel::LauGenInfo LauCPFitModel::eventsToGenerate ( )

protected

Determine the number of events to generate for each hypothesis.

Definition at line 1310 of file LauCPFitModel.cc.

void LauCPFitModel::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 935 of file LauCPFitModel.cc.

LauSPlot::NumbMap LauCPFitModel::fixdSpeciesNames ( ) const

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 2548 of file LauCPFitModel.cc.

LauSPlot::NumbMap LauCPFitModel::freeSpeciesNames ( ) const

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 2529 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::generateBkgndEvent ( UInt_t  bgID )

protected

Generate background event.

Parameters

[in]

bgID

ID number of the background class

Definition at line 1686 of file LauCPFitModel.cc.

void LauCPFitModel::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 1815 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::generateSignalEvent ( )

protected

Generate signal event.

Definition at line 1545 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::genExpt ( )

protectedvirtual

Toy MC generation and fitting overloaded functions.

Implements LauAbsFitModel.

Definition at line 1381 of file LauCPFitModel.cc.

Double_t LauCPFitModel::getEventSum ( ) const

protectedvirtual

Get the total number of events.

Returns

the total number of events

Implements LauAbsFitModel.

Definition at line 2116 of file LauCPFitModel.cc.

void LauCPFitModel::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 2128 of file LauCPFitModel.cc.

void LauCPFitModel::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 2287 of file LauCPFitModel.cc.

Double_t LauCPFitModel::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 2215 of file LauCPFitModel.cc.

Double_t LauCPFitModel::getTotEvtLikelihood ( UInt_t  iEvt )

protectedvirtual

Get the total likelihood for each event.

Parameters

[in]

iEvt

the event number

Implements LauAbsFitModel.

Definition at line 2050 of file LauCPFitModel.cc.

void LauCPFitModel::initialise ( )

protectedvirtual

Initialise the fit.

Implements LauAbsFitModel.

Definition at line 419 of file LauCPFitModel.cc.

void LauCPFitModel::initialiseDPModels ( )

protectedvirtual

Initialise the signal DP models.

Implements LauAbsFitModel.

Definition at line 545 of file LauCPFitModel.cc.

LauCPFitModel& LauCPFitModel::operator= ( const LauCPFitModel &  rhs )

private

Copy assignment operator (not implemented)

void LauCPFitModel::printAsymmetries ( std::ostream &  output )

protectedvirtual

Print the asymmetries.

Parameters

[out]

output

the stream to which to print

Definition at line 1159 of file LauCPFitModel.cc.

void LauCPFitModel::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 1138 of file LauCPFitModel.cc.

void LauCPFitModel::propagateParUpdates ( )

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 1878 of file LauCPFitModel.cc.

void LauCPFitModel::randomiseInitFitPars ( )

protected

Randomise the initial fit parameters.

Definition at line 1300 of file LauCPFitModel.cc.

void LauCPFitModel::recalculateNormalisation ( )

protectedvirtual

Recalculate Normalization the signal DP models.

Implements LauAbsFitModel.

Definition at line 536 of file LauCPFitModel.cc.

virtual Bool_t LauCPFitModel::scfDPSmear ( ) const

inlineprotectedvirtual

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

Implements LauAbsFitModel.

Definition at line 416 of file LauCPFitModel.hh.

void LauCPFitModel::setAmpCoeffSet ( LauAbsCoeffSet *  coeffSet )

virtual

Set the DP amplitude coefficients.

Parameters

[in]

coeffSet

the set of coefficients

Implements LauAbsFitModel.

Definition at line 381 of file LauCPFitModel.cc.

void LauCPFitModel::setBkgndDPModels	(	const TString &	bkgndClass,
		LauAbsBkgndDPModel *	negModel,
		LauAbsBkgndDPModel *	posModel
	)

Set the background DP models.

Parameters

[in]	bkgndClass	the name of the background class
[in]	negModel	the DP model of the B- background
[in]	posModel	the DP model of the B+ background

Definition at line 286 of file LauCPFitModel.cc.

void LauCPFitModel::setBkgndPdfs	(	const TString &	bkgndClass,
		LauAbsPdf *	negPdf,
		LauAbsPdf *	posPdf
	)

Set the background PDFs.

Parameters

[in]	bkgndClass	the name of the background class
[in]	negPdf	the PDF to be added to the B- background model
[in]	posPdf	the PDF to be added to the B+ background model

Definition at line 349 of file LauCPFitModel.cc.

void LauCPFitModel::setDPBranchValues ( )

protected

Store all of the DP information.

Definition at line 1790 of file LauCPFitModel.cc.

void LauCPFitModel::setExtraNtupleVars ( )

protected

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

Definition at line 708 of file LauCPFitModel.cc.

void LauCPFitModel::setExtraPdfParameters ( )

protected

Set the fit parameters for the extra PDFs.

Definition at line 619 of file LauCPFitModel.cc.

void LauCPFitModel::setFitNEvents ( )

protected

Set the initial yields.

Definition at line 652 of file LauCPFitModel.cc.

void LauCPFitModel::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 yield of the background

Implements LauAbsFitModel.

Definition at line 176 of file LauCPFitModel.cc.

void LauCPFitModel::setNBkgndEvents ( LauParameter *  nBkgndEvents, LauParameter *  bkgndAsym  )

virtual

Set the background event yield(s)

The names of the parameters must be that of the corresponding background category (so that they can be correctly assigned)

Parameters

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

Definition at line 209 of file LauCPFitModel.cc.

void LauCPFitModel::setNSigEvents ( LauParameter *  nSigEvents )

virtual

Set the signal event yield.

Parameters

[in]

nSigEvents

contains the signal yield and option to fix it

Implements LauAbsFitModel.

Definition at line 118 of file LauCPFitModel.cc.

void LauCPFitModel::setNSigEvents ( LauParameter *  nSigEvents, LauParameter *  sigAsym, Bool_t  forceAsym = kFALSE  )

virtual

Set the signal event yield if there is an asymmetry.

Parameters

[in]	nSigEvents	contains the signal yield and option to fix it
[in]	sigAsym	contains the signal asymmetry and option to fix it
[in]	forceAsym	the option to force there to be an asymmetry

Definition at line 144 of file LauCPFitModel.cc.

void LauCPFitModel::setSCFPdfs	(	LauAbsPdf *	negPdf,
		LauAbsPdf *	posPdf
	)

Set the SCF PDF for a given variable.

Parameters

[in]	negPdf	the PDF to be added to the B- signal model
[in]	posPdf	the PDF to be added to the B+ signal model

Definition at line 328 of file LauCPFitModel.cc.

void LauCPFitModel::setSignalDPParameters ( )

protected

Set the fit parameters for the DP model.

Definition at line 574 of file LauCPFitModel.cc.

void LauCPFitModel::setSignalPdfs	(	LauAbsPdf *	negPdf,
		LauAbsPdf *	posPdf
	)

Set the signal PDFs.

Parameters

[in]	negPdf	the PDF to be added to the B- signal model
[in]	posPdf	the PDF to be added to the B+ signal model

Definition at line 307 of file LauCPFitModel.cc.

Double_t LauCPFitModel::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 2452 of file LauCPFitModel.cc.

void LauCPFitModel::setupBkgndVectors ( )

protectedvirtual

Define the length of the background vectors.

Implements LauAbsFitModel.

Definition at line 101 of file LauCPFitModel.cc.

void LauCPFitModel::setupGenNtupleBranches ( )

protectedvirtual

Setup the required ntuple branches.

Implements LauAbsFitModel.

Definition at line 1746 of file LauCPFitModel.cc.

void LauCPFitModel::setupSPlotNtupleBranches ( )

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 2337 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::smearSCFDP ( ) const

inline

Determine if we are smearing the SCF DP PDF.

Definition at line 131 of file LauCPFitModel.hh.

virtual Bool_t LauCPFitModel::splitSignal ( ) const

inlineprotectedvirtual

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

Implements LauAbsFitModel.

Definition at line 413 of file LauCPFitModel.hh.

void LauCPFitModel::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 249 of file LauCPFitModel.cc.

void LauCPFitModel::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 271 of file LauCPFitModel.cc.

void LauCPFitModel::storePerEvtLlhds ( )

protectedvirtual

Store the per event likelihood values.

Implements LauAbsFitModel.

Definition at line 2632 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::storeSignalMCMatch ( LauEmbeddedData *  embeddedData )

protected

Store the MC truth info on the TM/SCF nature of the embedded signal event.

Parameters

[in]

embeddedData

the full simulation information

Definition at line 1852 of file LauCPFitModel.cc.

LauSPlot::TwoDMap LauCPFitModel::twodimPDFs ( ) const

protectedvirtual

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

Implements LauAbsFitModel.

Definition at line 2567 of file LauCPFitModel.cc.

void LauCPFitModel::updateCoeffs ( )

protectedvirtual

Update the coefficients.

Implements LauAbsFitModel.

Definition at line 2327 of file LauCPFitModel.cc.

void LauCPFitModel::updateSigEvents ( )

protected

Update the signal events after Minuit sets background parameters.

Definition at line 1893 of file LauCPFitModel.cc.

Bool_t LauCPFitModel::useSCF ( ) const

inline

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

Definition at line 125 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::useSCFHist ( ) const

inline

Determine whether the SCF fraction is DP-dependent.

Definition at line 128 of file LauCPFitModel.hh.

LauSPlot::NameSet LauCPFitModel::variableNames ( ) const

protectedvirtual

Returns the names of all variables in the fit.

Implements LauAbsFitModel.

Definition at line 2509 of file LauCPFitModel.cc.

void LauCPFitModel::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 2898 of file LauCPFitModel.cc.

void LauCPFitModel::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 1171 of file LauCPFitModel.cc.

Member Data Documentation

std::vector<LauParameter> LauCPFitModel::acp_

private

A_CP parameter.

Definition at line 514 of file LauCPFitModel.hh.

LauBkgndYieldList LauCPFitModel::bkgndAsym_

private

Background asymmetries(s)

Definition at line 541 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::bkgndDPLike_

private

Background DP likelihood value(s)

Definition at line 631 of file LauCPFitModel.hh.

LauBkgndYieldList LauCPFitModel::bkgndEvents_

private

Background yield(s)

Definition at line 538 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::bkgndExtraLike_

private

Background likelihood value(s) from extra PDFs.

Definition at line 640 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::bkgndTotalLike_

private

Total background likelihood(s)

Definition at line 649 of file LauCPFitModel.hh.

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

private

Magnitudes and Phases.

Definition at line 490 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::compareFitData_

private

Run choice variables.

Definition at line 583 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::CPCFitFrac_

private

The CP conserving fit fraction.

Definition at line 508 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::CPVFitFrac_

private

The CP violating fit fraction.

Definition at line 505 of file LauCPFitModel.hh.

Int_t LauCPFitModel::curEvtCharge_

private

Current event charge.

Definition at line 550 of file LauCPFitModel.hh.

std::vector<Int_t> LauCPFitModel::evtCharges_

private

Vector to store event charges.

Definition at line 553 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::fakeJacobians_

private

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

Definition at line 580 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::fakeSCFFracs_

private

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

Definition at line 574 of file LauCPFitModel.hh.

std::vector<LauParameter> LauCPFitModel::fitFracAsymm_

private

The fit fraction asymmetries.

Definition at line 511 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::forceAsym_

private

Option to force an asymmetry.

Definition at line 535 of file LauCPFitModel.hh.

LauBkgndDPModelList LauCPFitModel::negBkgndDPModels_

private

The B- background Dalitz plot models.

Definition at line 445 of file LauCPFitModel.hh.

LauBkgndPdfsList LauCPFitModel::negBkgndPdfs_

private

The B- background PDFs.

Definition at line 469 of file LauCPFitModel.hh.

LauBkgndEmbDataList LauCPFitModel::negBkgndTree_

private

The B- background event tree.

Definition at line 606 of file LauCPFitModel.hh.

std::vector<LauComplex> LauCPFitModel::negCoeffs_

private

The complex coefficients for B-.

Definition at line 592 of file LauCPFitModel.hh.

LauParameter LauCPFitModel::negDPRate_

private

The average DP rate for B-.

Definition at line 523 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::negFitFrac_

private

The B- fit fractions.

Definition at line 493 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::negFitFracEffUnCorr_

private

Fit B- fractions (uncorrected for the efficiency)

Definition at line 499 of file LauCPFitModel.hh.

LauKinematics* LauCPFitModel::negKinematics_

private

The B- Dalitz plot kinematics object.

Definition at line 451 of file LauCPFitModel.hh.

LauParameter LauCPFitModel::negMeanEff_

private

The mean efficiency for B- model.

Definition at line 517 of file LauCPFitModel.hh.

TString LauCPFitModel::negParent_

private

Name of the parent particle.

Definition at line 586 of file LauCPFitModel.hh.

LauPdfList LauCPFitModel::negScfPdfs_

private

The B- SCF PDFs.

Definition at line 463 of file LauCPFitModel.hh.

LauIsobarDynamics* LauCPFitModel::negSigModel_

private

The B- signal Dalitz plot model.

Definition at line 439 of file LauCPFitModel.hh.

LauPdfList LauCPFitModel::negSignalPdfs_

private

The B- signal PDFs.

Definition at line 457 of file LauCPFitModel.hh.

LauEmbeddedData* LauCPFitModel::negSignalTree_

private

The B- signal event tree.

Definition at line 600 of file LauCPFitModel.hh.

UInt_t LauCPFitModel::nExtraPdfPar_

private

Number of extra PDF parameters.

Definition at line 484 of file LauCPFitModel.hh.

UInt_t LauCPFitModel::nNormPar_

private

Number of normalisation parameters (yields, asymmetries)

Definition at line 487 of file LauCPFitModel.hh.

UInt_t LauCPFitModel::nSigComp_

private

Number of signal components.

Definition at line 478 of file LauCPFitModel.hh.

UInt_t LauCPFitModel::nSigDPPar_

private

Number of signal DP parameters.

Definition at line 481 of file LauCPFitModel.hh.

LauBkgndDPModelList LauCPFitModel::posBkgndDPModels_

private

The B+ background Dalitz plot models.

Definition at line 448 of file LauCPFitModel.hh.

LauBkgndPdfsList LauCPFitModel::posBkgndPdfs_

private

The B+ background PDFs.

Definition at line 472 of file LauCPFitModel.hh.

LauBkgndEmbDataList LauCPFitModel::posBkgndTree_

private

The B+ background event tree.

Definition at line 609 of file LauCPFitModel.hh.

std::vector<LauComplex> LauCPFitModel::posCoeffs_

private

The complex coefficients for B+.

Definition at line 595 of file LauCPFitModel.hh.

LauParameter LauCPFitModel::posDPRate_

private

The average DP rate for B+.

Definition at line 526 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::posFitFrac_

private

The B+ fit fractions.

Definition at line 496 of file LauCPFitModel.hh.

LauParArray LauCPFitModel::posFitFracEffUnCorr_

private

Fit B+ fractions (uncorrected for the efficiency)

Definition at line 502 of file LauCPFitModel.hh.

LauKinematics* LauCPFitModel::posKinematics_

private

The B+ Dalitz plot kinematics object.

Definition at line 454 of file LauCPFitModel.hh.

LauParameter LauCPFitModel::posMeanEff_

private

The mean efficiency for B+ model.

Definition at line 520 of file LauCPFitModel.hh.

TString LauCPFitModel::posParent_

private

Name of the parent particle.

Definition at line 589 of file LauCPFitModel.hh.

LauPdfList LauCPFitModel::posScfPdfs_

private

The B+ SCF PDFs.

Definition at line 466 of file LauCPFitModel.hh.

LauIsobarDynamics* LauCPFitModel::posSigModel_

private

The B+ signal Dalitz plot model.

Definition at line 442 of file LauCPFitModel.hh.

LauPdfList LauCPFitModel::posSignalPdfs_

private

The B+ signal PDFs.

Definition at line 460 of file LauCPFitModel.hh.

LauEmbeddedData* LauCPFitModel::posSignalTree_

private

The B+ signal event tree.

Definition at line 603 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::recoJacobians_

private

The cached values of the sqDP jacobians for each event.

Definition at line 577 of file LauCPFitModel.hh.

std::vector<Double_t> LauCPFitModel::recoSCFFracs_

private

The cached values of the SCF fraction for each event.

Definition at line 571 of file LauCPFitModel.hh.

LauBkgndReuseEventsList LauCPFitModel::reuseBkgnd_

private

Vector of booleans to reuse background events.

Definition at line 621 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::reuseSignal_

private

Boolean to reuse signal events.

Definition at line 612 of file LauCPFitModel.hh.

Double_t LauCPFitModel::scfDPLike_

private

SCF DP likelihood value.

Definition at line 628 of file LauCPFitModel.hh.

Double_t LauCPFitModel::scfExtraLike_

private

SCF likelihood from extra PDFs.

Definition at line 637 of file LauCPFitModel.hh.

LauParameter LauCPFitModel::scfFrac_

private

The (global) SCF fraction parameter.

Definition at line 562 of file LauCPFitModel.hh.

LauEffModel* LauCPFitModel::scfFracHist_

private

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

Definition at line 565 of file LauCPFitModel.hh.

LauScfMap* LauCPFitModel::scfMap_

private

The smearing matrix for the SCF DP PDF.

Definition at line 568 of file LauCPFitModel.hh.

Double_t LauCPFitModel::scfTotalLike_

private

Total SCF likelihood.

Definition at line 646 of file LauCPFitModel.hh.

Double_t LauCPFitModel::sigDPLike_

private

Signal DP likelihood value.

Definition at line 625 of file LauCPFitModel.hh.

Double_t LauCPFitModel::sigExtraLike_

private

Signal likelihood from extra PDFs.

Definition at line 634 of file LauCPFitModel.hh.

LauParameter* LauCPFitModel::signalAsym_

private

Signal asymmetry.

Definition at line 532 of file LauCPFitModel.hh.

LauParameter* LauCPFitModel::signalEvents_

private

Signal yield.

Definition at line 529 of file LauCPFitModel.hh.

Double_t LauCPFitModel::sigTotalLike_

private

Total signal likelihood.

Definition at line 643 of file LauCPFitModel.hh.

const Bool_t LauCPFitModel::tagged_

private

IS the analysis tagged?

Definition at line 544 of file LauCPFitModel.hh.

const TString LauCPFitModel::tagVarName_

private

Event charge.

Definition at line 547 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::useNegReweighting_

private

Boolean to use reweighting for B-.

Definition at line 615 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::usePosReweighting_

private

Boolean to use reweighting for B+.

Definition at line 618 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::useSCF_

private

Is the signal split into TM and SCF.

Definition at line 556 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::useSCFHist_

private

Is the SCF fraction DP-dependent.

Definition at line 559 of file LauCPFitModel.hh.

Bool_t LauCPFitModel::usingBkgnd_

private

Background boolean.

Definition at line 475 of file LauCPFitModel.hh.

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

• inc/LauCPFitModel.hh
• src/LauCPFitModel.cc