LauAbsPdf.hh virtual void withinNormCalc(Bool_t yorn) Set flag to track whether the calcNorm method is running. Definition: LauAbsPdf.hh:454 Bool_t normWeightsDone_ Whether the normalisation weights have been calculated. Definition: LauAbsPdf.hh:552 virtual UInt_t nFixedParameters() const Retrieve the number of fixed PDF parameters. Definition: LauAbsPdf.cc:133 virtual LauFitData generate(const LauKinematics *kinematics) Generate an event from the PDF. Definition: LauAbsPdf.cc:338 virtual Double_t getMaxAbscissa() const Retrieve the maximum value of the (primary) abscissa. Definition: LauAbsPdf.hh:141 Bool_t withinGeneration_ Flag to keep track of whether the generate method is running. Definition: LauAbsPdf.hh:549 Bool_t withinNormCalc_ Flag to keep track of whether the calcNorm method is running. Definition: LauAbsPdf.hh:546 virtual Double_t getMinAbscissa() const Retrieve the minimum value of the (primary) abscissa. Definition: LauAbsPdf.hh:135 virtual void setMaxAbscissa(const TString &theVarName, Double_t maxAbscissa) Set the maximum value of the specified abscissa. Definition: LauAbsPdf.cc:227 virtual LauFitData getMaxAbscissas() const Retrieve the maximum values of all the abscissas. Definition: LauAbsPdf.cc:183 virtual const std::vector< LauAbscissas > & getAbscissas() const Retrieve the abscissa(s) Definition: LauAbsPdf.hh:424 File containing declaration of LauParamFixed class. virtual Bool_t isDPDependent() const Specifies whether or not the PDF is DP dependent. Definition: LauAbsPdf.hh:129 std::vector< Double_t > LauAbscissas The type used for containing multiple abscissa values. Definition: LauAbsPdf.hh:58 File containing declaration of LauParameter class. virtual Double_t getRange() const Retrieve the range of the (primary) abscissa. Definition: LauAbsPdf.hh:147 File containing declaration of LauFitDataTree class. virtual void calcPDFHeight(const LauKinematics *kinematics)=0 Calculate the maximum height of the PDF. virtual void normWeightsDone(Bool_t yorn) Set whether the normalisation weights have been calculated. Definition: LauAbsPdf.hh:478 virtual LauAbsRValue * findParameter(const TString &parName) Retrieve the specified parameter. Definition: LauAbsPdf.cc:431 virtual Bool_t normWeightsDone() const Check whether the normalisation weights have been calculated. Definition: LauAbsPdf.hh:472 virtual std::vector< LauAbsRValue * > & getParameters() Retrieve the parameters of the PDF, e.g. so that they can be loaded into a fit. Definition: LauAbsPdf.hh:268 LauAbsPdf & operator=(const LauAbsPdf &rhs) Copy assignment operator (not implemented) virtual void cacheInfo(const LauFitDataTree &inputData) Cache information from data. Definition: LauAbsPdf.cc:275 virtual Double_t integrGaussLegendre() Integrate the PDF using the Gauss-Legendre method. Definition: LauAbsPdf.cc:505 virtual Bool_t withinNormCalc() const Check whether the calcNorm method is running. Definition: LauAbsPdf.hh:448 File containing declaration of LauAbsRValue class. LauAbsPdf(const TString &theVarName, const std::vector< LauAbsRValue * > ¶ms, Double_t minAbscissa, Double_t maxAbscissa) Constructor for a 1D PDF. Definition: LauAbsPdf.cc:43 virtual UInt_t nParameters() const Retrieve the number of PDF parameters. Definition: LauAbsPdf.hh:109 virtual void setRange(const TString &theVarName, Double_t minAbscissa, Double_t maxAbscissa) Set the range of the specified abscissa. Definition: LauAbsPdf.hh:380 virtual Double_t integTrapezoid() Integrate the PDF using the simple trapezoid method. Definition: LauAbsPdf.cc:579 std::vector< Double_t > unNormPDFValues_ Cached unnormalised likelihood values. Definition: LauAbsPdf.hh:530 virtual std::vector< TString > varNames() const Retrieve the names of the abscissas. Definition: LauAbsPdf.cc:122 virtual std::vector< LauAbscissas > & getAbscissas() Retrieve the abscissa(s) Definition: LauAbsPdf.hh:418 virtual void heightUpToDate(Bool_t hutd) Set whether the height is up to date. Definition: LauAbsPdf.hh:293 IntMethod integMethod_ The integration method used for normalising the PDF. Definition: LauAbsPdf.hh:543 virtual TRandom * getRandomFun() const Retrieve the random function used for MC generation. Definition: LauAbsPdf.hh:412 virtual void setUnNormPDFVal(Double_t unNormPDFVal) Set the unnormalised likelihood. Definition: LauAbsPdf.hh:394 virtual void integMethod(IntMethod method) Set the integration method used to normalise the PDF. Definition: LauAbsPdf.hh:323 virtual Double_t getRange(const TString &theVarName) const Retrieve the range of the specified abscissa. Definition: LauAbsPdf.hh:168 TRandom * randomFun() Access the singleton random number generator with a particular seed. Definition: LauRandom.cc:33 virtual void withinGeneration(Bool_t yorn) Set flag to track whether the generate method is running. Definition: LauAbsPdf.hh:466 virtual void calcLikelihoodInfo(const LauAbscissas &abscissas)=0 Calculate the likelihood (and all associated information) given value(s) of the abscissa(s) virtual const std::vector< Double_t > & normWeights() const Retrieve the weights used for normalisation. Definition: LauAbsPdf.hh:493 virtual Double_t getLikelihood() const Retrieve the normalised likelihood value. Definition: LauAbsPdf.cc:403 virtual Bool_t withinGeneration() const Check whether the generate method is running. Definition: LauAbsPdf.hh:460 Pure abstract base class for defining a parameter containing an R value. Definition: LauAbsRValue.hh:45 virtual void setMinAbscissa(const TString &theVarName, Double_t minAbscissa) Set the minimum value of the specified abscissa. Definition: LauAbsPdf.cc:211 virtual LauFitData getMinAbscissas() const Retrieve the minimum values of all the abscissas. Definition: LauAbsPdf.cc:171 virtual void getNormWeights() Calculate the weights and abscissas used for normalisation. Definition: LauAbsPdf.cc:527 std::map< TString, Double_t > LauFitData Type for holding event data. Definition: LauFitDataTree.hh:45 virtual LauFitData getRanges() const Retrieve the ranges of all the abscissas. Definition: LauAbsPdf.cc:195 virtual void cachePDF(Bool_t doCachePDF) Set whether the PDF is to be cached. Definition: LauAbsPdf.hh:330 virtual const std::vector< LauAbscissas > & normAbscissas() const Retrieve the abscissa points used for normalisation. Definition: LauAbsPdf.hh:487 virtual void addParameters(std::vector< LauAbsRValue * > ¶ms) Add parameters to the PDF. Definition: LauAbsPdf.cc:478 virtual std::vector< Double_t > & getUnNormPDFValues() Retrieve the cached unnormalised likelihood values. Definition: LauAbsPdf.hh:430 virtual const std::vector< LauAbsRValue * > & getParameters() const Retrieve the parameters of the PDF, e.g. so that they can be loaded into a fit. Definition: LauAbsPdf.hh:262 virtual IntMethod integMethod() const Retrieve the integration method used to normalise the PDF. Definition: LauAbsPdf.hh:317 virtual const TString & varName() const Retrieve the name of the abscissa. Definition: LauAbsPdf.hh:97 virtual void nNormPoints(Int_t nPoints) Set the number of points to integrate over when normalising. Definition: LauAbsPdf.hh:311 virtual Int_t nNormPoints() const Retrieve the number of points to integrate over when normalising. Definition: LauAbsPdf.hh:305 virtual Double_t getUnNormLikelihood() const Retrieve the unnormalised likelihood value. Definition: LauAbsPdf.hh:218 virtual Bool_t heightUpToDate() const Check if the maximum height of the PDF is up to date. Definition: LauAbsPdf.hh:287 virtual const std::vector< Double_t > & getUnNormPDFValues() const Retrieve the cached unnormalised likelihood values. Definition: LauAbsPdf.hh:436 virtual void setRandomFun(TRandom *randomFun) Set the random function used for toy MC generation. Definition: LauAbsPdf.hh:256 virtual Bool_t checkRange(const LauAbscissas &abscissas) const Check that all abscissas are within their allowed ranges. Definition: LauAbsPdf.cc:243 Generated by ![]() |