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rf109_chi2residpull.C
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook -js
4/// 'BASIC FUNCTIONALITY' RooFit tutorial macro #109
5///
6/// Calculating chi^2 from histograms and curves in RooPlots,
7/// making histogram of residual and pull distributions
8///
9/// \macro_image
10/// \macro_output
11/// \macro_code
12/// \author 07/2008 - Wouter Verkerke
13
14#include "RooRealVar.h"
15#include "RooDataSet.h"
16#include "RooGaussian.h"
17#include "RooConstVar.h"
18#include "TCanvas.h"
19#include "TAxis.h"
20#include "RooPlot.h"
21#include "RooHist.h"
22using namespace RooFit ;
23
24
25void rf109_chi2residpull()
26{
27
28 // S e t u p m o d e l
29 // ---------------------
30
31 // Create observables
32 RooRealVar x("x","x",-10,10) ;
33
34 // Create Gaussian
35 RooRealVar sigma("sigma","sigma",3,0.1,10) ;
36 RooRealVar mean("mean","mean",0,-10,10) ;
37 RooGaussian gauss("gauss","gauss",x,RooConst(0),sigma) ;
38
39 // Generate a sample of 1000 events with sigma=3
40 RooDataSet* data = gauss.generate(x,10000) ;
41
42 // Change sigma to 3.15
43 sigma=3.15 ;
44
45
46 // P l o t d a t a a n d s l i g h t l y d i s t o r t e d m o d e l
47 // ---------------------------------------------------------------------------
48
49 // Overlay projection of gauss with sigma=3.15 on data with sigma=3.0
50 RooPlot* frame1 = x.frame(Title("Data with distorted Gaussian pdf"),Bins(40)) ;
51 data->plotOn(frame1,DataError(RooAbsData::SumW2)) ;
52 gauss.plotOn(frame1) ;
53
54
55 // C a l c u l a t e c h i ^ 2
56 // ------------------------------
57
58 // Show the chi^2 of the curve w.r.t. the histogram
59 // If multiple curves or datasets live in the frame you can specify
60 // the name of the relevant curve and/or dataset in chiSquare()
61 cout << "chi^2 = " << frame1->chiSquare() << endl ;
62
63
64 // S h o w r e s i d u a l a n d p u l l d i s t s
65 // -------------------------------------------------------
66
67 // Construct a histogram with the residuals of the data w.r.t. the curve
68 RooHist* hresid = frame1->residHist() ;
69
70 // Construct a histogram with the pulls of the data w.r.t the curve
71 RooHist* hpull = frame1->pullHist() ;
72
73 // Create a new frame to draw the residual distribution and add the distribution to the frame
74 RooPlot* frame2 = x.frame(Title("Residual Distribution")) ;
75 frame2->addPlotable(hresid,"P") ;
76
77 // Create a new frame to draw the pull distribution and add the distribution to the frame
78 RooPlot* frame3 = x.frame(Title("Pull Distribution")) ;
79 frame3->addPlotable(hpull,"P") ;
80
81
82
83 TCanvas* c = new TCanvas("rf109_chi2residpull","rf109_chi2residpull",900,300) ;
84 c->Divide(3) ;
85 c->cd(1) ; gPad->SetLeftMargin(0.15) ; frame1->GetYaxis()->SetTitleOffset(1.6) ; frame1->Draw() ;
86 c->cd(2) ; gPad->SetLeftMargin(0.15) ; frame2->GetYaxis()->SetTitleOffset(1.6) ; frame2->Draw() ;
87 c->cd(3) ; gPad->SetLeftMargin(0.15) ; frame3->GetYaxis()->SetTitleOffset(1.6) ; frame3->Draw() ;
88
89}
#define c(i)
Definition: RSha256.hxx:101
#define gPad
Definition: TVirtualPad.h:286
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:31
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
A RooHist is a graphical representation of binned data based on the TGraphAsymmErrors class.
Definition: RooHist.h:26
A RooPlot is a plot frame and a container for graphics objects within that frame.
Definition: RooPlot.h:41
RooHist * residHist(const char *histname=0, const char *pdfname=0, bool normalize=false, bool useAverage=kFALSE) const
Return a RooHist containing the residuals of histogram 'histname' with respect to curve 'curvename'.
Definition: RooPlot.cxx:1003
Double_t chiSquare(int nFitParam=0) const
Shortcut for RooPlot::chiSquare(const char* pdfname, const char* histname, int nFitParam=0)
Definition: RooPlot.h:169
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1123
RooHist * pullHist(const char *histname=0, const char *pdfname=0, bool useAverage=false) const
Uses residHist() and sets normalize=true.
Definition: RooPlot.h:174
void addPlotable(RooPlotable *plotable, Option_t *drawOptions="", Bool_t invisible=kFALSE, Bool_t refreshNorm=kFALSE)
Add the specified plotable object to our plot.
Definition: RooPlot.cxx:446
virtual void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:558
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title Offset is a correction factor with respect to the "s...
Definition: TAttAxis.cxx:294
The Canvas class.
Definition: TCanvas.h:31
const Double_t sigma
Double_t x[n]
Definition: legend1.C:17
RooConstVar & RooConst(Double_t val)
RooCmdArg DataError(Int_t)
RooCmdArg Bins(Int_t nbin)
static constexpr double gauss
const char * Title
Definition: TXMLSetup.cxx:67