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rf305_condcorrprod.C
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1 /// \file
2 /// \ingroup tutorial_roofit
3 /// \notebook
4 ///
5 /// Multidimensional models: multi-dimensional p.d.f.s with conditional p.d.fs in product
6 ///
7 /// `pdf = gauss(x,f(y),sx | y ) * gauss(y,ms,sx)` with `f(y) = a0 + a1*y`
8 ///
9 /// \macro_image
10 /// \macro_output
11 /// \macro_code
12 ///
13 /// \date 07/2008
14 /// \author Wouter Verkerke
15 
16 #include "RooRealVar.h"
17 #include "RooDataSet.h"
18 #include "RooGaussian.h"
19 #include "RooConstVar.h"
20 #include "RooPolyVar.h"
21 #include "RooProdPdf.h"
22 #include "RooPlot.h"
23 #include "TCanvas.h"
24 #include "TAxis.h"
25 #include "TH1.h"
26 using namespace RooFit;
27 
28 void rf305_condcorrprod()
29 {
30  // C r e a t e c o n d i t i o n a l p d f g x ( x | y )
31  // -----------------------------------------------------------
32 
33  // Create observables
34  RooRealVar x("x", "x", -5, 5);
35  RooRealVar y("y", "y", -5, 5);
36 
37  // Create function f(y) = a0 + a1*y
38  RooRealVar a0("a0", "a0", -0.5, -5, 5);
39  RooRealVar a1("a1", "a1", -0.5, -1, 1);
40  RooPolyVar fy("fy", "fy", y, RooArgSet(a0, a1));
41 
42  // Create gaussx(x,f(y),sx)
43  RooRealVar sigmax("sigma", "width of gaussian", 0.5);
44  RooGaussian gaussx("gaussx", "Gaussian in x with shifting mean in y", x, fy, sigmax);
45 
46  // C r e a t e p d f g y ( y )
47  // -----------------------------------------------------------
48 
49  // Create gaussy(y,0,5)
50  RooGaussian gaussy("gaussy", "Gaussian in y", y, RooConst(0), RooConst(3));
51 
52  // C r e a t e p r o d u c t g x ( x | y ) * g y ( y )
53  // -------------------------------------------------------
54 
55  // Create gaussx(x,sx|y) * gaussy(y)
56  RooProdPdf model("model", "gaussx(x|y)*gaussy(y)", gaussy, Conditional(gaussx, x));
57 
58  // S a m p l e , f i t a n d p l o t p r o d u c t p d f
59  // ---------------------------------------------------------------
60 
61  // Generate 1000 events in x and y from model
62  RooDataSet *data = model.generate(RooArgSet(x, y), 10000);
63 
64  // Plot x distribution of data and projection of model on x = Int(dy) model(x,y)
65  RooPlot *xframe = x.frame();
66  data->plotOn(xframe);
67  model.plotOn(xframe);
68 
69  // Plot x distribution of data and projection of model on y = Int(dx) model(x,y)
70  RooPlot *yframe = y.frame();
71  data->plotOn(yframe);
72  model.plotOn(yframe);
73 
74  // Make two-dimensional plot in x vs y
75  TH1 *hh_model = model.createHistogram("hh_model", x, Binning(50), YVar(y, Binning(50)));
76  hh_model->SetLineColor(kBlue);
77 
78  // Make canvas and draw RooPlots
79  TCanvas *c = new TCanvas("rf305_condcorrprod", "rf05_condcorrprod", 1200, 400);
80  c->Divide(3);
81  c->cd(1);
82  gPad->SetLeftMargin(0.15);
83  xframe->GetYaxis()->SetTitleOffset(1.6);
84  xframe->Draw();
85  c->cd(2);
86  gPad->SetLeftMargin(0.15);
87  yframe->GetYaxis()->SetTitleOffset(1.6);
88  yframe->Draw();
89  c->cd(3);
90  gPad->SetLeftMargin(0.20);
91  hh_model->GetZaxis()->SetTitleOffset(2.5);
92  hh_model->Draw("surf");
93 }
c
#define c(i)
Definition: RSha256.hxx:119
RooPlot::Draw
virtual void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:691
RooGaussian.h
x
Double_t x[n]
Definition: legend1.C:17
RooGaussian
Definition: RooGaussian.h:25
TCanvas.h
RooFit::YVar
RooCmdArg YVar(const RooAbsRealLValue &var, const RooCmdArg &arg=RooCmdArg::none())
Definition: RooGlobalFunc.cxx:240
RooFit::Binning
RooCmdArg Binning(const RooAbsBinning &binning)
Definition: RooGlobalFunc.cxx:82
TH1::GetZaxis
TAxis * GetZaxis()
Definition: TH1.h:319
RooDataSet.h
RooPolyVar.h
RooProdPdf.h
rf305_condcorrprod
Definition: rf305_condcorrprod.py:1
RooFit
Definition: RooCFunction1Binding.h:29
RooAbsData::plotOn
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
Definition: RooAbsData.cxx:547
RooPlot.h
RooPlot::GetYaxis
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1256
RooPlot
Definition: RooPlot.h:44
y
Double_t y[n]
Definition: legend1.C:17
RooRealVar.h
RooPolyVar
Definition: RooPolyVar.h:28
RooConstVar.h
RooFit::Conditional
RooCmdArg Conditional(const RooArgSet &pdfSet, const RooArgSet &depSet, Bool_t depsAreCond=kFALSE)
Definition: RooGlobalFunc.cxx:225
TCanvas
Definition: TCanvas.h:23
TAxis.h
TH1
Definition: TH1.h:57
kBlue
@ kBlue
Definition: Rtypes.h:66
gPad
#define gPad
Definition: TVirtualPad.h:287
RooDataSet
Definition: RooDataSet.h:33
make_cnn_model.model
model
Definition: make_cnn_model.py:6
TAttAxis::SetTitleOffset
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title.
Definition: TAttAxis.cxx:293
RooRealVar
Definition: RooRealVar.h:35
RooProdPdf
Definition: RooProdPdf.h:33
TH1.h
RooArgSet
Definition: RooArgSet.h:28
TH1::Draw
virtual void Draw(Option_t *option="")
Draw this histogram with options.
Definition: TH1.cxx:2997
RooFit::RooConst
RooConstVar & RooConst(Double_t val)
Definition: RooGlobalFunc.cxx:341