library: libRooFit #include "RooAbsAnaConvPdf.h"

# RooAbsAnaConvPdf

class description - source file - inheritance tree (.pdf)

## class RooAbsAnaConvPdf : public RooAbsPdf

| Inheritance Chart:

`TObject`

<-

`TNamed`

`RooPrintable`

<-

`RooAbsArg`

<-

`RooAbsReal`

<-

`RooAbsPdf`

<-

`RooAbsAnaConvPdf`

<-

`RooBCPEffDecay` |

`RooBCPGenDecay` |

`RooBDecay` |

`RooBMixDecay` |

`RooDecay` |

`RooNonCPEigenDecay` |

This is an abstract class, constructors will not be documented.
Look at the header to check for available constructors.

        protected:

                             Bool_t changeModel(const RooResolutionModel& newModel)
                  const RooRealVar* convVar() const
                   virtual Double_t evaluate() const
          virtual RooAbsGenContext* genContext(const RooArgSet& vars, const RooDataSet* prototype = 0, const RooArgSet* auxProto = 0, Bool_t verbose = kFALSE) const
                               void makeCoefVarList() const
                         RooArgSet* parseIntegrationRequest(const RooArgSet& intSet, Int_t& coefCode, RooArgSet* analVars = 0) const
                       virtual void syncNormalizationPostHook(RooAbsReal* norm, const RooArgSet* nset) const
                     virtual Bool_t syncNormalizationPreHook(RooAbsReal* norm, const RooArgSet* nset) const

        public:

                   virtual ~RooAbsAnaConvPdf()
          virtual Double_t analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName = "0") const
            static TClass* Class()
          virtual Double_t coefAnalyticalIntegral(Int_t coef, Int_t code, const char* rangeName = "0") const
          virtual Double_t coefficient(Int_t basisIndex) const
                     Int_t declareBasis(const char* expression, const RooArgList& params)
            virtual Bool_t forceAnalyticalInt(const RooAbsArg& dep) const
             virtual Int_t getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet, const char* rangeName = "0") const
             virtual Int_t getCoefAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName = "0") const
                  Double_t getCoefNorm(Int_t coefIdx, const RooArgSet& nset, const char* rangeName) const
                  Double_t getCoefNorm(Int_t coefIdx, const RooArgSet* nset = 0, const char* rangeName = "0") const
           virtual TClass* IsA() const
            virtual Bool_t isDirectGenSafe(const RooAbsArg& arg) const
              virtual void printToStream(ostream& stream, RooPrintable::PrintOption opt = Standard, TString indent = ) const
              virtual void ShowMembers(TMemberInspector& insp, char* parent)
              virtual void Streamer(TBuffer& b)
                      void StreamerNVirtual(TBuffer& b)

### Data Members

        protected:

                       Bool_t _isCopy
          RooResolutionModel* _model        Original resolution model
                  RooRealVar* _convVar      Convolution variable
                 RooListProxy _convSet      Set of (resModel (x) basisFunc) convolution objects
                   RooArgList _basisList    List of created basis functions
                   RooArgSet* _convNormSet  Subset of last normalization that applies to convolutions
                   TIterator* _convSetIter  ! Iterator over _convNormSet
                   RooArgList _coefVarList
           RooNormListManager _coefNormMgr  ! Coefficient normalization manager
               RooAICRegistry _codeReg

## Class Description

      RooAbsAnaConvPdf is the base class of for PDFs that represents a
      physics model that can be analytically convolved with a resolution model

      To achieve factorization between the physics model and the resolution
      model, each physics model must be able to be written in the form
               _ _                 _              _
        Phys(x,a,b) = Sum_k coef_k(a) * basis_k(x,b)

      where basis_k are a limited number of functions in terms of the variable
      to be convoluted and coef_k are coefficients independent of the convolution
      variable.

      Classes derived from RooResolutionModel implement
             _ _                        _                  _
       R_k(x,b,c) = Int(dx') basis_k(x',b) * resModel(x-x',c)

      which RooAbsAnaConvPdf uses to construct the pdf for [ Phys (x) R ] :
              _ _ _                 _          _ _
        PDF(x,a,b,c) = Sum_k coef_k(a) * R_k(x,b,c)

      A minimal implementation of a RooAbsAnaConvPdf physics model consists of

      - A constructor that declares the required basis functions using the declareBasis() method.
        The declareBasis() function assigns a unique identifier code to each declare basis

      - An implementation of coefficient(Int_t code) returning the coefficient value for each
        declared basis function

      Optionally, analytical integrals can be provided for the coefficient functions. The
      interface for this is quite similar to that for integrals of regular PDFs. Two functions,

       Int_t getCoefAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars)
       Double_t coefAnalyticalIntegral(Int_t coef, Int_t code),

      advertise the coefficient integration capabilities and implement them respectively.
      Please see RooAbsPdf for additional details. Advertised analytical integrals must be
      valid for all coefficients.

~RooAbsAnaConvPdf()

     Destructor

Int_t declareBasis(const char* expression, const RooArgList& params)

     Declare a basis function for use in this physics model. The string expression
     must be a valid RooFormulVar expression representing the basis function, referring
     to the convolution variable as '@0', and any additional parameters (supplied in
     'params' as '@1','@2' etc.

     The return value is a unique identifier code, that will be passed to coefficient()
     to identify the basis function for which the coefficient is requested. If the
     resolution model used does not support the declared basis function, code -1 is
     returned.

Bool_t changeModel(const RooResolutionModel& newModel)

     Change the resolution model to given model

RooAbsGenContext* genContext(const RooArgSet &vars, const RooDataSet *prototype, const RooArgSet* auxProto, Bool_t verbose) const

Bool_t isDirectGenSafe(const RooAbsArg& arg) const

     All direct generation of convolution arg if model is truth model

const RooRealVar* convVar() const

     Return a pointer to the convolution variable instance used in the resolution model

Double_t evaluate() const

     Calculate the current unnormalized value of the PDF

     PDF = sum_k coef_k * [ basis_k (x) ResModel ]

Int_t getAnalyticalIntegralWN(RooArgSet& allVars, RooArgSet& analVars, const RooArgSet* normSet2, const char* /*rangeName*/) const

     Handle trivial no-integration scenario

Double_t analyticalIntegralWN(Int_t code, const RooArgSet* normSet, const char* rangeName) const

     Return analytical integral defined by given scenario code.

     For unnormalized integrals this is
                        _                _
       PDF = sum_k Int(dx) coef_k * Int(dy) [ basis_k (x) ResModel ].
           _
     where x is the set of coefficient dependents to be integrated
     and y the set of basis function dependents to be integrated.

     For normalized integrals this becomes

             sum_k Int(dx) coef_k * Int(dy) [ basis_k (x) ResModel ].
      PDF =  --------------------------------------------------------
             sum_k Int(dv) coef_k * Int(dw) [ basis_k (x) ResModel ].

     where x is the set of coefficient dependents to be integrated,
     y the set of basis function dependents to be integrated,
     v is the set of coefficient dependents over which is normalized and
     w is the set of basis function dependents over which is normalized.

     Set x must be contained in v and set y must be contained in w.

Int_t getCoefAnalyticalIntegral(RooArgSet& /*allVars*/, RooArgSet& /*analVars*/, const char* /*rangeName*/) const

     Default implementation of function advertising integration capabilities: no integrals
     are advertised.

Double_t coefAnalyticalIntegral(Int_t coef, Int_t code, const char* /*rangeName*/) const

     Default implementation of function implementing advertised integrals. Only
     the pass-through scenario (no integration) is implemented.

Bool_t forceAnalyticalInt(const RooAbsArg& /*dep*/) const

     This function forces RooRealIntegral to offer all integration dependents
     to RooAbsAnaConvPdf::getAnalyticalIntegralWN() for consideration for
     analytical integration, if RRI considers this to be unsafe (e.g. due
     to hidden Jacobian terms).

     RooAbsAnaConvPdf will not attempt to actually integrate all these dependents
     but feed them to the resolution models integration interface, which will
     make the final determination on how to integrate these dependents.

Double_t getCoefNorm(Int_t coefIdx, const RooArgSet* nset, const char* rangeName) const

void makeCoefVarList() const

     Build complete list of coefficient variables

Bool_t syncNormalizationPreHook(RooAbsReal* /*norm*/,const RooArgSet* nset) const

     Overload of hook function in RooAbsPdf::syncNormalization(). This functions serves
     two purposes:

       - Modify default normalization behaviour of RooAbsPdf: integration requests over
         unrelated variables are properly executed (introducing a trivial multiplication
         for each unrelated dependent). This is necessary if composite resolution models
         are used in which the components do not necessarily all have the same set
         of dependents.

       - Built the sub set of normalization dependents that is contained the basis function
         resolution model convolution (to be used in syncNormalizationPostHook().

void syncNormalizationPostHook(RooAbsReal* /*norm*/,const RooArgSet* /*nset*/) const

     Overload of hook function in RooAbsPdf::syncNormalization(). This function propagates
     the syncNormalization() call to all basis-function/resolution-model convolution component
     objects and fixes the physics models client-server links by adding each variable that
     serves any of the convolution objects normalizations. PDFs by default have all client-server
     links that control the unnormalized value (as returned by evaluate()), but convoluted PDFs
     have a non-trivial normalization term that may introduce dependencies on additional server
     that exclusively appear in the normalization.

void printToStream(ostream& os, PrintOption opt, TString indent) const

     Print info about this object to the specified stream. In addition to the info
     from RooAbsPdf::printToStream() we add:

       Verbose : detailed information on convolution integrals

### Inline Functions

               Double_t getCoefNorm(Int_t coefIdx, const RooArgSet* nset = 0, const char* rangeName = "0") const
               Double_t coefficient(Int_t basisIndex) const
             RooArgSet* parseIntegrationRequest(const RooArgSet& intSet, Int_t& coefCode, RooArgSet* analVars = 0) const
                TClass* Class()
                TClass* IsA() const
                   void ShowMembers(TMemberInspector& insp, char* parent)
                   void Streamer(TBuffer& b)
                   void StreamerNVirtual(TBuffer& b)

Last update: Tue Jun 28 18:08:46 2005
Copyright (c) 2000-2005, Regents of the University of California *