LauSimpleFitModel.hh
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201 virtual std::map<TString, Double_t> getDPLikelihoods( const Double_t m13Sq, const Double_t m23Sq );
376 Double_t setSPlotNtupleBranchValues( LauPdfPList* extraPdfs, const TString& prefix, UInt_t iEvt );
std::map< TString, std::pair< Int_t, Double_t > > LauGenInfo Define a map to be used to store a category name and numbers. Definition: LauSimpleFitModel.hh:205 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. Definition: LauSimpleFitModel.cc:172 File containing declaration of LauAbsFitModel class. virtual Bool_t splitSignal() const Check if the signal is split into well-reconstructed and mis-reconstructed types. Definition: LauSimpleFitModel.hh:397 virtual void weightEvents(const TString &dataFileName, const TString &dataTreeName) Weight events based on the DP model. Definition: LauSimpleFitModel.cc:2268 virtual void getEvtDPLikelihood(UInt_t iEvt) Calculate the signal and background likelihoods for the DP for a given event. Definition: LauSimpleFitModel.cc:1544 std::vector< Double_t > fakeSCFFracs_ The cached values of the SCF fraction for each bin centre. Definition: LauSimpleFitModel.hh:495 void setSCFPdf(LauAbsPdf *pdf) Set the SCF PDF for a given variable. Definition: LauSimpleFitModel.cc:251 Class for defining the abstract interface for complex coefficient classes. Definition: LauAbsCoeffSet.hh:48 virtual void setNSigEvents(LauParameter *nSigEvents) Set the signal event yield. Definition: LauSimpleFitModel.cc:116 virtual Double_t getEventSum() const Get the total number of events. Definition: LauSimpleFitModel.cc:1533 virtual void finaliseFitResults(const TString &tablePrefixName) Get the fit results and store them. Definition: LauSimpleFitModel.cc:636 virtual void initialiseDPModels() Initialise the signal DP model. Definition: LauSimpleFitModel.cc:453 void setBkgndPdf(const TString &bkgndClass, LauAbsPdf *pdf) Set the background PDF. Definition: LauSimpleFitModel.cc:260 Bool_t useSCF() const Determine whether we are splitting the signal into TM and SCF parts. Definition: LauSimpleFitModel.hh:118 virtual void storePerEvtLlhds() Store the per event likelihood values. Definition: LauSimpleFitModel.cc:2014 virtual void printFitFractions(std::ostream &output) Print the fit fractions, total DP rate and mean efficiency. Definition: LauSimpleFitModel.cc:778 The abstract interface for a background Dalitz plot model. Definition: LauAbsBkgndDPModel.hh:45 UInt_t nNormPar_ Number of normalisation parameters (i.e. yields) Definition: LauSimpleFitModel.hh:453 std::vector< Double_t > bkgndExtraLike_ Background likelihood value(s) from extra PDFs. Definition: LauSimpleFitModel.hh:542 void setExtraPdfParameters() Set the fit parameters for the extra PDFs. Definition: LauSimpleFitModel.cc:499 File containing declaration of LauParameter class. virtual void cacheInputFitVars() Read in the input fit data variables, e.g. m13Sq and m23Sq. Definition: LauSimpleFitModel.cc:1392 std::vector< LauAbsRValue * > LauBkgndYieldList Typedef for a vector of background yields. Definition: LauSimpleFitModel.hh:214 LauEffModel * scfFracHist_ The histogram giving the DP-dependence of the SCF fraction. Definition: LauSimpleFitModel.hh:486 void randomiseInitFitPars() Randomise the initial fit parameters. Definition: LauSimpleFitModel.cc:883 void setSignalPdf(LauAbsPdf *pdf) Set the signal PDF for a given variable. Definition: LauSimpleFitModel.cc:241 virtual Double_t getTotEvtLikelihood(UInt_t iEvt) Get the total likelihood for each event. Definition: LauSimpleFitModel.cc:1495 virtual LauSPlot::NameSet variableNames() const Returns the names of all variables in the fit. Definition: LauSimpleFitModel.cc:1873 virtual std::map< TString, Double_t > getDPLikelihoods(const Double_t m13Sq, const Double_t m23Sq) Calculate the DP likelihood(s) for a given DP position. Definition: LauSimpleFitModel.cc:2152 Bool_t smearSCFDP() const Determine if we are smearing the SCF DP PDF. Definition: LauSimpleFitModel.hh:124 Define a Dalitz plot according to the isobar model. Definition: LauSimpleFitModel.hh:58 virtual void savePDFPlots(const TString &label) Save the pdf Plots for all the resonances of experiment number fitExp. Definition: LauSimpleFitModel.cc:2368 std::vector< LauAbsCoeffSet * > coeffPars_ Magnitudes and Phases. Definition: LauSimpleFitModel.hh:456 LauParArray fitFracEffUnCorr_ Fit fractions (uncorrected for the efficiency) Definition: LauSimpleFitModel.hh:462 std::set< TString > NameSet Type to store names, e.g. of the discriminating/control variables. Definition: LauSPlot.hh:72 virtual void recalculateNormalisation() Recalculate Normalization the signal DP models. Definition: LauSimpleFitModel.cc:469 LauBkgndReuseEventsList reuseBkgnd_ Vector of booleans to reuse background events. Definition: LauSimpleFitModel.hh:524 LauSimpleFitModel(const LauSimpleFitModel &rhs) Copy constructor (not implemented) virtual void propagateParUpdates() Calculate things that depend on the fit parameters after they have been updated by Minuit. Definition: LauSimpleFitModel.cc:1346 virtual void savePDFPlotsWave(const TString &label, const Int_t &spin) Save the pdf Plots for the sum of ressonances correspondint to "sin" of experiment number fitExp. Definition: LauSimpleFitModel.cc:2462 Class that implements the efficiency description across the signal Dalitz plot. Definition: LauEffModel.hh:50 std::vector< Double_t > fakeJacobians_ The cached values of the sqDP jacobians for each true bin. Definition: LauSimpleFitModel.hh:501 std::vector< Double_t > bkgndTotalLike_ Total background likelihood(s) Definition: LauSimpleFitModel.hh:551 virtual LauSPlot::TwoDMap twodimPDFs() const Returns the species and variables for all 2D PDFs in the fit. Definition: LauSimpleFitModel.cc:1939 LauSimpleFitModel & operator=(const LauSimpleFitModel &rhs) Copy assignment operator (not implemented) std::map< TString, Double_t > NumbMap Type to associate a category name with a double precision number, e.g. a yield or PDF value for a giv... Definition: LauSPlot.hh:75 void generateExtraPdfValues(LauPdfPList *extraPdfs, LauEmbeddedData *embeddedData) Generate from the extra PDFs. Definition: LauSimpleFitModel.cc:1321 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... Definition: LauSimpleFitModel.cc:2228 std::vector< Double_t > recoSCFFracs_ The cached values of the SCF fraction for each event. Definition: LauSimpleFitModel.hh:492 virtual Double_t getEvtSCFDPLikelihood(UInt_t iEvt) Calculate the SCF likelihood for the DP for a given event. Definition: LauSimpleFitModel.cc:1589 Double_t setSPlotNtupleBranchValues(LauPdfPList *extraPdfs, const TString &prefix, UInt_t iEvt) Set the branches for the sPlot ntuple with extra PDFs. Definition: LauSimpleFitModel.cc:1808 File containing declaration of LauComplex class. virtual LauSPlot::NumbMap freeSpeciesNames() const Returns the names and yields of species that are free in the fit. Definition: LauSimpleFitModel.cc:1896 Bool_t generateBkgndEvent(UInt_t bkgndID) Generate background event. Definition: LauSimpleFitModel.cc:1218 std::vector< std::vector< LauParameter > > LauParArray Type to define an array of parameters. Definition: LauParameter.hh:570 std::vector< Double_t > bkgndDPLike_ Background likelihood value(s) Definition: LauSimpleFitModel.hh:533 virtual Bool_t scfDPSmear() const Check if the mis-reconstructed signal is to be smeared in the DP. Definition: LauSimpleFitModel.hh:400 virtual LauSPlot::NumbMap fixdSpeciesNames() const Returns the names and yields of species that are fixed in the fit. Definition: LauSimpleFitModel.cc:1920 void setupGenNtupleBranches() Setup the required ntuple branches. Definition: LauSimpleFitModel.cc:1258 void setExtraNtupleVars() Set-up other parameters that are derived from the fit results, e.g. fit fractions. Definition: LauSimpleFitModel.cc:564 Pure abstract base class for defining a parameter containing an R value. Definition: LauAbsRValue.hh:45 std::vector< Bool_t > LauBkgndReuseEventsList Typedef for a vector of booleans to flag if events are reused. Definition: LauSimpleFitModel.hh:220 Bool_t useSCFHist() const Determine whether the SCF fraction is DP-dependent. Definition: LauSimpleFitModel.hh:121 Class for representing the 4D smearing matrix for mis-reconstructed signal (self cross feed) Definition: LauScfMap.hh:45 virtual Bool_t genExpt() Toy MC generation and fitting overloaded functions. Definition: LauSimpleFitModel.cc:950 void updateSigEvents() Update the signal events after Minuit sets background parameters. Definition: LauSimpleFitModel.cc:1360 virtual void getEvtExtraLikelihoods(UInt_t iEvt) Determine the signal and background likelihood for the extra variables for a given event. Definition: LauSimpleFitModel.cc:1643 std::pair< LauGenInfo, Bool_t > eventsToGenerate() Determine the number of events to generate for each hypothesis. Definition: LauSimpleFitModel.cc:894 void appendBinCentres(LauFitDataTree *inputData) Append fake data points to the inputData for each bin in the SCF smearing matrix. Definition: LauSimpleFitModel.cc:1452 virtual void setupBkgndVectors() Define the length of the background vectors. Definition: LauSimpleFitModel.cc:103 virtual void checkInitFitParams() Check the initial fit parameters. Definition: LauSimpleFitModel.cc:870 virtual void setupSPlotNtupleBranches() Add branches to store experiment number and the event number within the experiment. Definition: LauSimpleFitModel.cc:1687 void setSignalDPParameters() Set the fit parameters for the DP model. Definition: LauSimpleFitModel.cc:476 virtual void setNBkgndEvents(LauAbsRValue *nBkgndEvents) Set the background event yield(s) Definition: LauSimpleFitModel.cc:139 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. Definition: LauSimpleFitModel.cc:2197 void setBkgndDPModel(const TString &bkgndClass, LauAbsBkgndDPModel *bkgndModel) Set the background DP models. Definition: LauSimpleFitModel.cc:218 void addSPlotNtupleBranches(const LauPdfPList *extraPdfs, const TString &prefix) Add sPlot branches for the extra PDFs. Definition: LauSimpleFitModel.cc:1754 LauBkgndDPModelList bkgndDPModels_ The background Dalitz Plot model. Definition: LauSimpleFitModel.hh:426 std::vector< LauPdfPList > LauBkgndPdfsList Typedef for a vector of background PDFs. Definition: LauSimpleFitModel.hh:211 std::vector< LauAbsBkgndDPModel * > LauBkgndDPModelList Typedef for a vector of background DP models. Definition: LauSimpleFitModel.hh:208 std::multimap< TString, std::pair< TString, TString > > TwoDMap Type to associate the name of the species that have 2D PDFs with the names of the two variables invol... Definition: LauSPlot.hh:81 Class to store the data for embedding in toy experiments. Definition: LauEmbeddedData.hh:46 Class for defining signal dynamics using the isobar model. Definition: LauIsobarDynamics.hh:53 std::vector< LauEmbeddedData * > LauBkgndEmbDataList Typedef for a vector of embedded data objects. Definition: LauSimpleFitModel.hh:217 virtual void setAmpCoeffSet(LauAbsCoeffSet *coeffSet) Set the DP amplitude coefficients. Definition: LauSimpleFitModel.cc:283 virtual void writeOutTable(const TString &outputFile) Write the fit results in latex table format. Definition: LauSimpleFitModel.cc:789 virtual std::map< TString, LauComplex > getDPAmps(const Double_t m13Sq, const Double_t m23Sq) Calculate the DP amplitude(s) for a given DP position. Definition: LauSimpleFitModel.cc:2130 std::vector< Double_t > recoJacobians_ The cached values of the sqDP jacobians for each event. Definition: LauSimpleFitModel.hh:498 Generated by ![]() |