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Reference Guide
rf301_composition.C
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook
4/// 'MULTIDIMENSIONAL MODELS' RooFit tutorial macro #301
5///
6/// Multi-dimensional p.d.f.s through composition, e.g. substituting a
7/// p.d.f parameter with a function that depends on other observables
8///
9/// pdf = gauss(x,f(y),s) with f(y) = a0 + a1*y
10///
11/// \macro_image
12/// \macro_output
13/// \macro_code
14/// \author 07/2008 - Wouter Verkerke
15
16
17#include "RooRealVar.h"
18#include "RooDataSet.h"
19#include "RooGaussian.h"
20#include "RooPolyVar.h"
21#include "RooPlot.h"
22#include "TCanvas.h"
23#include "TAxis.h"
24#include "TH1.h"
25using namespace RooFit ;
26
27
28
30{
31 // S e t u p c o m p o s e d m o d e l g a u s s ( x , m ( y ) , s )
32 // -----------------------------------------------------------------------
33
34 // Create observables
35 RooRealVar x("x","x",-5,5) ;
36 RooRealVar y("y","y",-5,5) ;
37
38 // Create function f(y) = a0 + a1*y
39 RooRealVar a0("a0","a0",-0.5,-5,5) ;
40 RooRealVar a1("a1","a1",-0.5,-1,1) ;
41 RooPolyVar fy("fy","fy",y,RooArgSet(a0,a1)) ;
42
43 // Create gauss(x,f(y),s)
44 RooRealVar sigma("sigma","width of gaussian",0.5) ;
45 RooGaussian model("model","Gaussian with shifting mean",x,fy,sigma) ;
46
47
48 // S a m p l e d a t a , p l o t d a t a a n d p d f o n x a n d y
49 // ---------------------------------------------------------------------------------
50
51 // Generate 10000 events in x and y from model
52 RooDataSet *data = model.generate(RooArgSet(x,y),10000) ;
53
54 // Plot x distribution of data and projection of model on x = Int(dy) model(x,y)
55 RooPlot* xframe = x.frame() ;
56 data->plotOn(xframe) ;
57 model.plotOn(xframe) ;
58
59 // Plot x distribution of data and projection of model on y = Int(dx) model(x,y)
60 RooPlot* yframe = y.frame() ;
61 data->plotOn(yframe) ;
62 model.plotOn(yframe) ;
63
64 // Make two-dimensional plot in x vs y
65 TH1* hh_model = model.createHistogram("hh_model",x,Binning(50),YVar(y,Binning(50))) ;
66 hh_model->SetLineColor(kBlue) ;
67
68
69
70 // Make canvas and draw RooPlots
71 TCanvas *c = new TCanvas("rf301_composition","rf301_composition",1200, 400);
72 c->Divide(3);
73 c->cd(1) ; gPad->SetLeftMargin(0.15) ; xframe->GetYaxis()->SetTitleOffset(1.4) ; xframe->Draw() ;
74 c->cd(2) ; gPad->SetLeftMargin(0.15) ; yframe->GetYaxis()->SetTitleOffset(1.4) ; yframe->Draw() ;
75 c->cd(3) ; gPad->SetLeftMargin(0.20) ; hh_model->GetZaxis()->SetTitleOffset(2.5) ; hh_model->Draw("surf") ;
76
77}
78
79
80
#define c(i)
Definition: RSha256.hxx:101
@ kBlue
Definition: Rtypes.h:63
#define gPad
Definition: TVirtualPad.h:286
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
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 Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:558
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: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
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition: TAttLine.h:40
The Canvas class.
Definition: TCanvas.h:31
The TH1 histogram class.
Definition: TH1.h:56
TAxis * GetZaxis()
Definition: TH1.h:318
virtual void Draw(Option_t *option="")
Draw this histogram with options.
Definition: TH1.cxx:2974
const Double_t sigma
Double_t y[n]
Definition: legend1.C:17
Double_t x[n]
Definition: legend1.C:17
RooCmdArg Binning(const RooAbsBinning &binning)
RooCmdArg YVar(const RooAbsRealLValue &var, const RooCmdArg &arg=RooCmdArg::none())