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Reference Guide
rf609_xychi2fit.C
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1 /// \file
2 /// \ingroup tutorial_roofit
3 /// \notebook -js
4 /// 'LIKELIHOOD AND MINIMIZATION' RooFit tutorial macro #609
5 ///
6 /// Setting up a chi^2 fit to an unbinned dataset with X,Y,err(Y)
7 /// values (and optionally err(X) values)
8 ///
9 /// \macro_image
10 /// \macro_output
11 /// \macro_code
12 /// \author 07/2008 - Wouter Verkerke
13 
14 
15 #include "RooRealVar.h"
16 #include "RooDataSet.h"
17 #include "RooPolyVar.h"
18 #include "RooConstVar.h"
19 #include "RooChi2Var.h"
20 #include "TCanvas.h"
21 #include "TAxis.h"
22 #include "RooPlot.h"
23 #include "TRandom.h"
24 
25 using namespace RooFit ;
26 
27 
28 void rf609_xychi2fit()
29 {
30  // C r e a t e d a t a s e t w i t h X a n d Y v a l u e s
31  // -------------------------------------------------------------------
32 
33  // Make weighted XY dataset with asymmetric errors stored
34  // The StoreError() argument is essential as it makes
35  // the dataset store the error in addition to the values
36  // of the observables. If errors on one or more observables
37  // are asymmetric, one can store the asymmetric error
38  // using the StoreAsymError() argument
39 
40  RooRealVar x("x","x",-11,11) ;
41  RooRealVar y("y","y",-10,200) ;
42  RooDataSet dxy("dxy","dxy",RooArgSet(x,y),StoreError(RooArgSet(x,y))) ;
43 
44  // Fill an example dataset with X,err(X),Y,err(Y) values
45  for (int i=0 ; i<=10 ; i++) {
46 
47  // Set X value and error
48  x = -10 + 2*i;
49  x.setError( i<5 ? 0.5/1. : 1.0/1. ) ;
50 
51  // Set Y value and error
52  y = x.getVal() * x.getVal() + 4*fabs(gRandom->Gaus()) ;
53  y.setError(sqrt(y.getVal())) ;
54 
55  dxy.add(RooArgSet(x,y)) ;
56  }
57 
58 
59 
60  // P e r f o r m c h i 2 f i t t o X + / - d x a n d Y + / - d Y v a l u e s
61  // ---------------------------------------------------------------------------------------
62 
63  // Make fit function
64  RooRealVar a("a","a",0.0,-10,10) ;
65  RooRealVar b("b","b",0.0,-100,100) ;
66  RooPolyVar f("f","f",x,RooArgList(b,a,RooConst(1))) ;
67 
68  // Plot dataset in X-Y interpretation
69  RooPlot* frame = x.frame(Title("Chi^2 fit of function set of (X#pmdX,Y#pmdY) values")) ;
70  dxy.plotOnXY(frame,YVar(y)) ;
71 
72  // Fit chi^2 using X and Y errors
73  f.chi2FitTo(dxy,YVar(y)) ;
74 
75  // Overlay fitted function
76  f.plotOn(frame) ;
77 
78  // Alternative: fit chi^2 integrating f(x) over ranges defined by X errors, rather
79  // than taking point at center of bin
80  f.chi2FitTo(dxy,YVar(y),Integrate(kTRUE)) ;
81 
82  // Overlay alternate fit result
83  f.plotOn(frame,LineStyle(kDashed),LineColor(kRed)) ;
84 
85 
86  // Draw the plot on a canvas
87  new TCanvas("rf609_xychi2fit","rf609_xychi2fit",600,600) ;
88  gPad->SetLeftMargin(0.15) ; frame->GetYaxis()->SetTitleOffset(1.4) ; frame->Draw() ;
89 
90 
91 }
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:262
RooCmdArg LineColor(Color_t color)
virtual Double_t Gaus(Double_t mean=0, Double_t sigma=1)
Samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigm...
Definition: TRandom.cxx:235
Definition: Rtypes.h:61
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1118
TArc * a
Definition: textangle.C:12
RooCmdArg Title(const char *name)
double sqrt(double)
Double_t x[n]
Definition: legend1.C:17
RooCmdArg StoreError(const RooArgSet &aset)
RooCmdArg LineStyle(Style_t style)
Class RooPolyVar is a RooAbsReal implementing a polynomial in terms of a list of RooAbsReal coefficie...
Definition: RooPolyVar.h:28
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:37
VecExpr< UnaryOp< Fabs< T >, VecExpr< A, T, D >, T >, T, D > fabs(const VecExpr< A, T, D > &rhs)
RooCmdArg Integrate(Bool_t flag)
R__EXTERN TRandom * gRandom
Definition: TRandom.h:66
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:29
A RooPlot is a plot frame and a container for graphics objects within that frame. ...
Definition: RooPlot.h:41
The Canvas class.
Definition: TCanvas.h:41
double f(double x)
RooCmdArg YVar(const RooAbsRealLValue &var, const RooCmdArg &arg=RooCmdArg::none())
Double_t y[n]
Definition: legend1.C:17
RooConstVar & RooConst(Double_t val)
you should not use this method at all Int_t Int_t Double_t Double_t Double_t Int_t Double_t Double_t Double_t Double_t b
Definition: TRolke.cxx:630
#define gPad
Definition: TVirtualPad.h:289
const Bool_t kTRUE
Definition: Rtypes.h:91
virtual void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:559