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rf605_profilell.C
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1 /// \file
2 /// \ingroup tutorial_roofit
3 /// \notebook -js
4 /// Likelihood and minimization: working with the profile likelihood estimator
5 ///
6 /// \macro_image
7 /// \macro_output
8 /// \macro_code
9 ///
10 /// \date July 2008
11 /// \author Wouter Verkerke
12 
13 #include "RooRealVar.h"
14 #include "RooDataSet.h"
15 #include "RooGaussian.h"
16 #include "RooConstVar.h"
17 #include "RooAddPdf.h"
18 #include "RooMinimizer.h"
19 #include "TCanvas.h"
20 #include "TAxis.h"
21 #include "RooPlot.h"
22 using namespace RooFit;
23 
24 void rf605_profilell()
25 {
26  // C r e a t e m o d e l a n d d a t a s e t
27  // -----------------------------------------------
28 
29  // Observable
30  RooRealVar x("x", "x", -20, 20);
31 
32  // Model (intentional strong correlations)
33  RooRealVar mean("mean", "mean of g1 and g2", 0, -10, 10);
34  RooRealVar sigma_g1("sigma_g1", "width of g1", 3);
35  RooGaussian g1("g1", "g1", x, mean, sigma_g1);
36 
37  RooRealVar sigma_g2("sigma_g2", "width of g2", 4, 3.0, 6.0);
38  RooGaussian g2("g2", "g2", x, mean, sigma_g2);
39 
40  RooRealVar frac("frac", "frac", 0.5, 0.0, 1.0);
41  RooAddPdf model("model", "model", RooArgList(g1, g2), frac);
42 
43  // Generate 1000 events
44  RooDataSet *data = model.generate(x, 1000);
45 
46  // C o n s t r u c t p l a i n l i k e l i h o o d
47  // ---------------------------------------------------
48 
49  // Construct unbinned likelihood
50  RooAbsReal *nll = model.createNLL(*data, NumCPU(2));
51 
52  // Minimize likelihood w.r.t all parameters before making plots
53  RooMinimizer(*nll).migrad();
54 
55  // Plot likelihood scan frac
56  RooPlot *frame1 = frac.frame(Bins(10), Range(0.01, 0.95), Title("LL and profileLL in frac"));
57  nll->plotOn(frame1, ShiftToZero());
58 
59  // Plot likelihood scan in sigma_g2
60  RooPlot *frame2 = sigma_g2.frame(Bins(10), Range(3.3, 5.0), Title("LL and profileLL in sigma_g2"));
61  nll->plotOn(frame2, ShiftToZero());
62 
63  // C o n s t r u c t p r o f i l e l i k e l i h o o d i n f r a c
64  // -----------------------------------------------------------------------
65 
66  // The profile likelihood estimator on nll for frac will minimize nll w.r.t
67  // all floating parameters except frac for each evaluation
68 
69  RooAbsReal *pll_frac = nll->createProfile(frac);
70 
71  // Plot the profile likelihood in frac
72  pll_frac->plotOn(frame1, LineColor(kRed));
73 
74  // Adjust frame maximum for visual clarity
75  frame1->SetMinimum(0);
76  frame1->SetMaximum(3);
77 
78  // C o n s t r u c t p r o f i l e l i k e l i h o o d i n s i g m a _ g 2
79  // -------------------------------------------------------------------------------
80 
81  // The profile likelihood estimator on nll for sigma_g2 will minimize nll
82  // w.r.t all floating parameters except sigma_g2 for each evaluation
83  RooAbsReal *pll_sigmag2 = nll->createProfile(sigma_g2);
84 
85  // Plot the profile likelihood in sigma_g2
86  pll_sigmag2->plotOn(frame2, LineColor(kRed));
87 
88  // Adjust frame maximum for visual clarity
89  frame2->SetMinimum(0);
90  frame2->SetMaximum(3);
91 
92  // Make canvas and draw RooPlots
93  TCanvas *c = new TCanvas("rf605_profilell", "rf605_profilell", 800, 400);
94  c->Divide(2);
95  c->cd(1);
96  gPad->SetLeftMargin(0.15);
97  frame1->GetYaxis()->SetTitleOffset(1.4);
98  frame1->Draw();
99  c->cd(2);
100  gPad->SetLeftMargin(0.15);
101  frame2->GetYaxis()->SetTitleOffset(1.4);
102  frame2->Draw();
103 
104  delete pll_frac;
105  delete pll_sigmag2;
106  delete nll;
107 }
c
#define c(i)
Definition: RSha256.hxx:101
RooPlot::Draw
virtual void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:691
RooAddPdf
RooAddPdf is an efficient implementation of a sum of PDFs of the form.
Definition: RooAddPdf.h:32
RooFit::Bins
RooCmdArg Bins(Int_t nbin)
Definition: RooGlobalFunc.cxx:177
RooArgList
RooArgList is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgList.h:21
RooGaussian.h
RooFit::ShiftToZero
RooCmdArg ShiftToZero()
Definition: RooGlobalFunc.cxx:51
RooPlot::SetMaximum
virtual void SetMaximum(Double_t maximum=-1111)
Set maximum value of Y axis.
Definition: RooPlot.cxx:1081
RooMinimizer::migrad
Int_t migrad()
Execute MIGRAD.
Definition: RooMinimizer.cxx:344
x
Double_t x[n]
Definition: legend1.C:17
RooGaussian
Plain Gaussian p.d.f.
Definition: RooGaussian.h:24
RooAddPdf.h
RooAbsReal
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
Definition: RooAbsReal.h:61
TCanvas.h
RooDataSet.h
RooPlot::frame
static RooPlot * frame(const RooAbsRealLValue &var, Double_t xmin, Double_t xmax, Int_t nBins)
Create a new frame for a given variable in x.
Definition: RooPlot.cxx:249
RooFit
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Definition: RooCFunction1Binding.h:29
RooPlot.h
RooPlot::GetYaxis
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1258
RooPlot
A RooPlot is a plot frame and a container for graphics objects within that frame.
Definition: RooPlot.h:44
RooRealVar.h
kRed
@ kRed
Definition: Rtypes.h:66
RooConstVar.h
RooAbsReal::plotOn
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg(), const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg(), const RooCmdArg &arg9=RooCmdArg(), const RooCmdArg &arg10=RooCmdArg()) const
Plot (project) PDF on specified frame.
Definition: RooAbsReal.cxx:1730
RooAbsReal::createProfile
virtual RooAbsReal * createProfile(const RooArgSet &paramsOfInterest)
Create a RooProfileLL object that eliminates all nuisance parameters in the present function.
Definition: RooAbsReal.cxx:529
RooFit::NumCPU
RooCmdArg NumCPU(Int_t nCPU, Int_t interleave=0)
Definition: RooGlobalFunc.cxx:158
RooFit::LineColor
RooCmdArg LineColor(Color_t color)
Definition: RooGlobalFunc.cxx:57
TCanvas
The Canvas class.
Definition: TCanvas.h:23
RooMinimizer.h
TAxis.h
RooFit::Range
RooCmdArg Range(const char *rangeName, Bool_t adjustNorm=kTRUE)
Definition: RooGlobalFunc.cxx:53
RooPlot::SetMinimum
virtual void SetMinimum(Double_t minimum=-1111)
Set minimum value of Y axis.
Definition: RooPlot.cxx:1091
gPad
#define gPad
Definition: TVirtualPad.h:287
RooDataSet
RooDataSet is a container class to hold unbinned data.
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
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:37
RooMinimizer
RooMinimizer is a wrapper class around ROOT::Fit:Fitter that provides a seamless interface between th...
Definition: RooMinimizer.h:40
RooFit::Title
RooCmdArg Title(const char *name)
Definition: RooGlobalFunc.cxx:176