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RooXYChi2Var.h
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1/*****************************************************************************
2 * Project: RooFit *
3 * Package: RooFitCore *
4 * File: $Id$
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
17#ifndef ROO_XY_CHI2_VAR
18#define ROO_XY_CHI2_VAR
19
21#include "RooCmdArg.h"
22#include "RooDataSet.h"
23#include "RooAbsPdf.h"
24#include "RooNumIntConfig.h"
25#include <list>
26class RooAbsIntegrator ;
27
28
30public:
31
32 // Constructors, assignment etc
33 RooXYChi2Var() ;
34 RooXYChi2Var(const char *name, const char* title, RooAbsReal& func, RooDataSet& data, Bool_t integrate=kFALSE) ;
35 RooXYChi2Var(const char *name, const char* title, RooAbsReal& func, RooDataSet& data, RooRealVar& yvar, Bool_t integrate=kFALSE) ;
36 RooXYChi2Var(const char *name, const char* title, RooAbsPdf& extPdf, RooDataSet& data, Bool_t integrate=kFALSE) ;
37 RooXYChi2Var(const char *name, const char* title, RooAbsPdf& extPdf, RooDataSet& data, RooRealVar& yvar, Bool_t integrate=kFALSE) ;
38
39 RooXYChi2Var(const RooXYChi2Var& other, const char* name=0);
40 virtual TObject* clone(const char* newname) const { return new RooXYChi2Var(*this,newname); }
41
42 virtual RooAbsTestStatistic* create(const char *name, const char *title, RooAbsReal& pdf, RooAbsData& adata,
44 // Virtual constructor
45 return new RooXYChi2Var(name,title,pdf,(RooDataSet&)adata) ;
46 }
47
48 virtual ~RooXYChi2Var();
49
50 virtual Double_t defaultErrorLevel() const {
51 // The default error level for MINUIT error analysis for a chi^2 is 1.0
52 return 1.0 ;
53 }
54
57
58protected:
59
61 // Disable function (component) caching if integration is requested as the function
62 // will be evaluated at coordinates other than the points in the dataset
63 return !_integrate ;
64 }
65
67
68 Double_t fy() const ;
69
70 Bool_t _extended ; // Is the input function and extended p.d.f.
71 Bool_t _integrate ; // Is integration over the bin volume requested
72
73 RooRealVar* _yvar ; // Y variable if so designated
74 RooArgSet _rrvArgs ; // Set of real-valued observables
75 TIterator* _rrvIter ; //! Iterator over set of real-valued observables
76
77 void initialize() ;
78 void initIntegrator() ;
80
81 virtual Double_t evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const ;
82
83 RooNumIntConfig _intConfig ; // Numeric integrator configuration for integration of function over bin
84 RooAbsReal* _funcInt ; //! Function integral
85 std::list<RooAbsBinning*> _binList ; //! Bin ranges
86
87 ClassDef(RooXYChi2Var,1) // Chi^2 function of p.d.f w.r.t a unbinned dataset with X and Y values
88};
89
90
91#endif
const Bool_t kFALSE
Definition RtypesCore.h:101
double Double_t
Definition RtypesCore.h:59
#define ClassDef(name, id)
Definition Rtypes.h:325
char name[80]
Definition TGX11.cxx:110
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition RooAbsData.h:82
RooAbsIntegrator is the abstract interface for integrators of real-valued functions that implement th...
RooAbsOptTestStatistic is the abstract base class for test statistics objects that evaluate a functio...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition RooAbsReal.h:64
RooAbsTestStatistic is the abstract base class for all test statistics.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition RooArgSet.h:35
RooDataSet is a container class to hold unbinned data.
Definition RooDataSet.h:36
RooNumIntConfig holds the configuration parameters of the various numeric integrators used by RooReal...
RooRealVar represents a variable that can be changed from the outside.
Definition RooRealVar.h:39
RooXYChi2Var implements a simple chi^2 calculation from an unbinned dataset with values x,...
RooAbsReal * _funcInt
Bool_t allowFunctionCache()
RooArgSet requiredExtraObservables() const
std::list< RooAbsBinning * > _binList
Function integral.
Bool_t _extended
void initIntegrator()
Initialize bin content integrator.
virtual Double_t defaultErrorLevel() const
RooRealVar * _yvar
RooXYChi2Var()
coverity[UNINIT_CTOR]
virtual ~RooXYChi2Var()
Destructor.
TIterator * _rrvIter
RooArgSet _rrvArgs
virtual Double_t evaluatePartition(std::size_t firstEvent, std::size_t lastEvent, std::size_t stepSize) const
Calculate chi^2 in partition from firstEvent to lastEvent using given stepSize.
Double_t fy() const
Return function value requested bu present configuration.
const RooNumIntConfig & binIntegratorConfig() const
void initialize()
Iterator over set of real-valued observables.
Bool_t _integrate
RooNumIntConfig _intConfig
virtual TObject * clone(const char *newname) const
virtual RooAbsTestStatistic * create(const char *name, const char *title, RooAbsReal &pdf, RooAbsData &adata, const RooArgSet &, RooAbsTestStatistic::Configuration const &)
Double_t xErrorContribution(Double_t ydata) const
Calculate contribution to internal error due to error on 'x' coordinates at point i.
RooNumIntConfig & binIntegratorConfig()
Iterator abstract base class.
Definition TIterator.h:30
Mother of all ROOT objects.
Definition TObject.h:41