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2 * Project: RooFit *
3 * Package: RooFitCore *
4 * File: $Id: RooAcceptReject.h,v 1.16 2007/05/11 09:11:30 verkerke 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 *****************************************************************************/
19#include "RooAbsNumGenerator.h"
20#include "RooPrintable.h"
21#include "RooArgSet.h"
23class RooAbsReal;
24class RooRealVar;
25class RooDataSet;
26class RooRealBinding;
27class RooNumGenFactory ;
32 // coverity[UNINIT_CTOR]
33 } ;
34 RooAcceptReject(const RooAbsReal &func, const RooArgSet &genVars, const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0);
35 RooAbsNumGenerator* clone(const RooAbsReal& func, const RooArgSet& genVars, const RooArgSet& /*condVars*/,
36 const RooNumGenConfig& config, Bool_t verbose=kFALSE, const RooAbsReal* maxFuncVal=0) const {
37 return new RooAcceptReject(func,genVars,config,verbose,maxFuncVal) ;
38 }
39 virtual ~RooAcceptReject();
41 const RooArgSet *generateEvent(UInt_t remaining, Double_t& resampleRatio);
45 // Advertisement of capabilities
46 virtual Bool_t canSampleConditional() const { return kTRUE ; }
47 virtual Bool_t canSampleCategories() const { return kTRUE ; }
52 friend class RooNumGenFactory ;
53 static void registerSampler(RooNumGenFactory& fact) ;
55 void addEventToCache();
58 Double_t _maxFuncVal, _funcSum; // Maximum function value found, and sum of all samples made
59 UInt_t _realSampleDim,_catSampleMult;// Number of real and discrete dimensions to be samplesd
60 UInt_t _minTrials; // Minimum number of max.finding trials, total number of samples
61 UInt_t _totalEvents; // Total number of function samples
62 UInt_t _eventsUsed; // Accepted number of function samples
63 TIterator *_nextCatVar; // Iterator of categories to be generated
64 TIterator *_nextRealVar; // Iterator over variables to be generated
66 UInt_t _minTrialsArray[4]; // Minimum number of trials samples for 1,2,3 dimensional problems
68 ClassDef(RooAcceptReject,0) // Context for generating a dataset from a PDF
unsigned int UInt_t
Definition: RtypesCore.h:42
const Bool_t kFALSE
Definition: RtypesCore.h:88
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:326
Class RooAbsNumGenerator is the abstract base class for MC event generator implementations like RooAc...
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:59
Class RooAcceptReject is a generic toy monte carlo generator implement the accept/reject sampling tec...
UInt_t _minTrialsArray[4]
virtual ~RooAcceptReject()
TIterator * _nextCatVar
static void registerSampler(RooNumGenFactory &fact)
Register RooIntegrator1D, is parameters and capabilities with RooNumIntFactory.
const RooArgSet * generateEvent(UInt_t remaining, Double_t &resampleRatio)
Return a pointer to a generated event.
Double_t _maxFuncVal
const RooArgSet * nextAcceptedEvent()
Scan through events in the cache which have not been used yet, looking for the first accepted one whi...
void addEventToCache()
Add a trial event to our cache and update our estimates of the function maximum value and integral.
virtual Bool_t canSampleCategories() const
TIterator * _nextRealVar
virtual Bool_t canSampleConditional() const
RooAbsNumGenerator * clone(const RooAbsReal &func, const RooArgSet &genVars, const RooArgSet &, const RooNumGenConfig &config, Bool_t verbose=kFALSE, const RooAbsReal *maxFuncVal=0) const
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:31
RooNumGenConfig holds the configuration parameters of the various numeric integrators used by RooReal...
RooNumGenFactory is a factory to instantiate numeric integrators from a given function binding and a ...
Lightweight interface adaptor that binds a RooAbsReal object to a subset of its servers and present i...
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:35
Iterator abstract base class.
Definition: TIterator.h:30