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RooGaussian.h
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1/*****************************************************************************
2 * Project: RooFit *
3 * Package: RooFitModels *
4 * File: $Id: RooGaussian.h,v 1.16 2007/07/12 20:30:49 wouter Exp $
5 * Authors: *
6 * WV, Wouter Verkerke, UC Santa Barbara, verkerke@slac.stanford.edu *
7 * DK, David Kirkby, UC Irvine, dkirkby@uci.edu *
8 * *
9 * Copyright (c) 2000-2005, Regents of the University of California *
10 * and Stanford University. All rights reserved. *
11 * *
12 * Redistribution and use in source and binary forms, *
13 * with or without modification, are permitted according to the terms *
14 * listed in LICENSE (http://roofit.sourceforge.net/license.txt) *
15 *****************************************************************************/
16#ifndef ROO_GAUSSIAN
17#define ROO_GAUSSIAN
18
19#include "RooAbsPdf.h"
20#include "RooRealProxy.h"
21#include "RooTrace.h"
22
23class RooRealVar;
24
25class RooGaussian : public RooAbsPdf {
26public:
28 RooGaussian(const char *name, const char *title,
29 RooAbsReal& _x, RooAbsReal& _mean, RooAbsReal& _sigma);
30 RooGaussian(const RooGaussian& other, const char* name=0) ;
31 virtual TObject* clone(const char* newname) const { return new RooGaussian(*this,newname); }
32 inline virtual ~RooGaussian() { }
33
34 Int_t getAnalyticalIntegral(RooArgSet& allVars, RooArgSet& analVars, const char* rangeName=0) const ;
35 Double_t analyticalIntegral(Int_t code, const char* rangeName=0) const ;
36
37 Int_t getGenerator(const RooArgSet& directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const;
38 void generateEvent(Int_t code);
39
40 Double_t getLogVal(const RooArgSet* set) const ;
41
42protected:
43
47
48 Double_t evaluate() const ;
49
50private:
51
52 ClassDef(RooGaussian,1) // Gaussian PDF
53};
54
55#endif
int Int_t
Definition: RtypesCore.h:41
bool Bool_t
Definition: RtypesCore.h:59
double Double_t
Definition: RtypesCore.h:55
const Bool_t kTRUE
Definition: RtypesCore.h:87
#define ClassDef(name, id)
Definition: Rtypes.h:324
RooAbsPdf is the abstract interface for all probability density functions The class provides hybrid a...
Definition: RooAbsPdf.h:41
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:53
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
Int_t getAnalyticalIntegral(RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=0) const
Interface function getAnalyticalIntergral advertises the analytical integrals that are supported.
Definition: RooGaussian.cxx:90
RooRealProxy mean
Definition: RooGaussian.h:45
Double_t getLogVal(const RooArgSet *set) const
calculate and return the negative log-likelihood of the Poisson
Definition: RooGaussian.cxx:71
virtual TObject * clone(const char *newname) const
Definition: RooGaussian.h:31
void generateEvent(Int_t code)
Interface for generation of anan event using the algorithm corresponding to the specified code.
RooRealProxy sigma
Definition: RooGaussian.h:46
Double_t analyticalIntegral(Int_t code, const char *rangeName=0) const
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.
Definition: RooGaussian.cxx:99
Double_t evaluate() const
Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.
Definition: RooGaussian.cxx:61
virtual ~RooGaussian()
Definition: RooGaussian.h:32
Int_t getGenerator(const RooArgSet &directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const
Load generatedVars with the subset of directVars that we can generate events for, and return a code t...
RooRealProxy x
Definition: RooGaussian.h:44
RooRealProxy is the concrete proxy for RooAbsReal objects A RooRealProxy is the general mechanism to ...
Definition: RooRealProxy.h:23
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
Mother of all ROOT objects.
Definition: TObject.h:37