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Reference Guide
RooDataWeightedAverage.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#ifndef ROO_DATA_WEIGHTED_AVERAGE
17#define ROO_DATA_WEIGHTED_AVERAGE
18
20#include "RooCmdArg.h"
21
23public:
24
25 // Constructors, assignment etc
27 // Default constructor
28 } ;
29
30 RooDataWeightedAverage(const char *name, const char *title, RooAbsReal& real, RooAbsData& data, const RooArgSet& projDeps,
31 Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t showProgress=kFALSE, Bool_t verbose=kTRUE) ;
32
33 RooDataWeightedAverage(const RooDataWeightedAverage& other, const char* name=0);
34 virtual TObject* clone(const char* newname) const { return new RooDataWeightedAverage(*this,newname); }
35
36 virtual RooAbsTestStatistic* create(const char *name, const char *title, RooAbsReal& real, RooAbsData& adata,
37 const RooArgSet& projDeps, const char* /*rangeName*/=0, const char* /*addCoefRangeName*/=0,
38 Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t verbose=kTRUE, Bool_t /*splitCutRange*/=kFALSE, Bool_t = kFALSE) {
39 // Virtual constructor
40 return new RooDataWeightedAverage(name,title,real,adata,projDeps,nCPU,interleave,verbose) ;
41 }
42
43 virtual Double_t globalNormalization() const ;
44
46
47
48protected:
49
50 Double_t _sumWeight ; // Global sum of weights needed for normalization
51 Bool_t _showProgress ; // Show progress indication during evaluation if true
52 virtual Double_t evaluatePartition(Int_t firstEvent, Int_t lastEvent, Int_t stepSize) const ;
53
54 ClassDef(RooDataWeightedAverage,1) // Optimized calculator of data weighted average of a RooAbsReal
55};
56
57#endif
int Int_t
Definition: RtypesCore.h:41
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
char name[80]
Definition: TGX11.cxx:109
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition: RooAbsData.h:37
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:53
RooAbsTestStatistic is the abstract base class for all test statistics.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
Class RooDataWeightedAverage calculate a weighted average of a function or p.d.f given a dataset with...
virtual RooAbsTestStatistic * create(const char *name, const char *title, RooAbsReal &real, RooAbsData &adata, const RooArgSet &projDeps, const char *=0, const char *=0, Int_t nCPU=1, RooFit::MPSplit interleave=RooFit::BulkPartition, Bool_t verbose=kTRUE, Bool_t=kFALSE, Bool_t=kFALSE)
virtual ~RooDataWeightedAverage()
Destructor.
virtual Double_t evaluatePartition(Int_t firstEvent, Int_t lastEvent, Int_t stepSize) const
Calculate the data weighted average for events [firstEVent,lastEvent] with step size stepSize.
virtual Double_t globalNormalization() const
Return global normalization term by which raw (combined) test statistic should be defined to obtain f...
virtual TObject * clone(const char *newname) const
Mother of all ROOT objects.
Definition: TObject.h:37
@ BulkPartition
Definition: RooGlobalFunc.h:60