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Reference Guide
rf201_composite.C
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook -js
4/// Addition and convolution: composite p.d.f with signal and background component
5///
6/// pdf = f_bkg * bkg(x,a0,a1) + (1-fbkg) * (f_sig1 * sig1(x,m,s1 + (1-f_sig1) * sig2(x,m,s2)))
7///
8/// \macro_image
9/// \macro_output
10/// \macro_code
11/// \author 07/2008 - Wouter Verkerke
12
13#include "RooRealVar.h"
14#include "RooDataSet.h"
15#include "RooGaussian.h"
16#include "RooChebychev.h"
17#include "RooAddPdf.h"
18#include "TCanvas.h"
19#include "TAxis.h"
20#include "RooPlot.h"
21using namespace RooFit;
22
23void rf201_composite()
24{
25 // S e t u p c o m p o n e n t p d f s
26 // ---------------------------------------
27
28 // Declare observable x
29 RooRealVar x("x", "x", 0, 10);
30
31 // Create two Gaussian PDFs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and their parameters
32 RooRealVar mean("mean", "mean of gaussians", 5);
33 RooRealVar sigma1("sigma1", "width of gaussians", 0.5);
34 RooRealVar sigma2("sigma2", "width of gaussians", 1);
35
36 RooGaussian sig1("sig1", "Signal component 1", x, mean, sigma1);
37 RooGaussian sig2("sig2", "Signal component 2", x, mean, sigma2);
38
39 // Build Chebychev polynomial p.d.f.
40 RooRealVar a0("a0", "a0", 0.5, 0., 1.);
41 RooRealVar a1("a1", "a1", 0.2, 0., 1.);
42 RooChebychev bkg("bkg", "Background", x, RooArgSet(a0, a1));
43
44 // ---------------------------------------------
45 // M E T H O D 1 - T w o R o o A d d P d f s
46 // =============================================
47
48 // A d d s i g n a l c o m p o n e n t s
49 // ------------------------------------------
50
51 // Sum the signal components into a composite signal p.d.f.
52 RooRealVar sig1frac("sig1frac", "fraction of component 1 in signal", 0.8, 0., 1.);
53 RooAddPdf sig("sig", "Signal", RooArgList(sig1, sig2), sig1frac);
54
55 // A d d s i g n a l a n d b a c k g r o u n d
56 // ------------------------------------------------
57
58 // Sum the composite signal and background
59 RooRealVar bkgfrac("bkgfrac", "fraction of background", 0.5, 0., 1.);
60 RooAddPdf model("model", "g1+g2+a", RooArgList(bkg, sig), bkgfrac);
61
62 // S a m p l e , f i t a n d p l o t m o d e l
63 // ---------------------------------------------------
64
65 // Generate a data sample of 1000 events in x from model
66 RooDataSet *data = model.generate(x, 1000);
67
68 // Fit model to data
69 model.fitTo(*data);
70
71 // Plot data and PDF overlaid
72 RooPlot *xframe = x.frame(Title("Example of composite pdf=(sig1+sig2)+bkg"));
73 data->plotOn(xframe);
74 model.plotOn(xframe);
75
76 // Overlay the background component of model with a dashed line
77 model.plotOn(xframe, Components(bkg), LineStyle(kDashed));
78
79 // Overlay the background+sig2 components of model with a dotted line
80 model.plotOn(xframe, Components(RooArgSet(bkg, sig2)), LineStyle(kDotted));
81
82 // Print structure of composite p.d.f.
83 model.Print("t");
84
85 // ---------------------------------------------------------------------------------------------
86 // M E T H O D 2 - O n e R o o A d d P d f w i t h r e c u r s i v e f r a c t i o n s
87 // =============================================================================================
88
89 // Construct sum of models on one go using recursive fraction interpretations
90 //
91 // model2 = bkg + (sig1 + sig2)
92 //
93 RooAddPdf model2("model", "g1+g2+a", RooArgList(bkg, sig1, sig2), RooArgList(bkgfrac, sig1frac), kTRUE);
94
95 // NB: Each coefficient is interpreted as the fraction of the
96 // left-hand component of the i-th recursive sum, i.e.
97 //
98 // sum4 = A + ( B + ( C + D) with fraction fA, fB and fC expands to
99 //
100 // sum4 = fA*A + (1-fA)*(fB*B + (1-fB)*(fC*C + (1-fC)*D))
101
102 // P l o t r e c u r s i v e a d d i t i o n m o d e l
103 // ---------------------------------------------------------
104 model2.plotOn(xframe, LineColor(kRed), LineStyle(kDashed));
105 model2.plotOn(xframe, Components(RooArgSet(bkg, sig2)), LineColor(kRed), LineStyle(kDashed));
106 model2.Print("t");
107
108 // Draw the frame on the canvas
109 new TCanvas("rf201_composite", "rf201_composite", 600, 600);
110 gPad->SetLeftMargin(0.15);
111 xframe->GetYaxis()->SetTitleOffset(1.4);
112 xframe->Draw();
113}
const Bool_t kTRUE
Definition: RtypesCore.h:87
@ kRed
Definition: Rtypes.h:64
@ kDashed
Definition: TAttLine.h:48
@ kDotted
Definition: TAttLine.h:48
#define gPad
Definition: TVirtualPad.h:286
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
Calls RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;.
Definition: RooAbsData.cxx:552
RooAddPdf is an efficient implementation of a sum of PDFs of the form.
Definition: RooAddPdf.h:29
RooArgList is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgList.h:21
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
Chebychev polynomial p.d.f.
Definition: RooChebychev.h:25
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:31
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
A RooPlot is a plot frame and a container for graphics objects within that frame.
Definition: RooPlot.h:41
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1123
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: RooPlot.h:127
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
Double_t x[n]
Definition: legend1.C:17
Template specialisation used in RooAbsArg:
RooCmdArg Components(const RooArgSet &compSet)
RooCmdArg LineColor(Color_t color)
RooCmdArg LineStyle(Style_t style)
const char * Title
Definition: TXMLSetup.cxx:67