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Reference Guide
rf404_categories.C
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1 /// \file
2 /// \ingroup tutorial_roofit
3 /// \notebook -nodraw
4 /// 'DATA AND CATEGORIES' RooFit tutorial macro #404
5 ///
6 /// Working with RooCategory objects to describe discrete variables
7 ///
8 /// \macro_output
9 /// \macro_code
10 /// \author 07/2008 - Wouter Verkerke
11 
12 
13 #include "RooRealVar.h"
14 #include "RooDataSet.h"
15 #include "RooPolynomial.h"
16 #include "RooCategory.h"
17 #include "Roo1DTable.h"
18 #include "RooGaussian.h"
19 #include "RooConstVar.h"
20 #include "TCanvas.h"
21 #include "TAxis.h"
22 #include "RooPlot.h"
23 using namespace RooFit ;
24 
25 
26 void rf404_categories()
27 {
28 
29  // C o n s t r u c t a c a t e g o r y w i t h l a b e l s
30  // ----------------------------------------------------------------
31 
32  // Define a category with labels only
33  RooCategory tagCat("tagCat","Tagging category") ;
34  tagCat.defineType("Lepton") ;
35  tagCat.defineType("Kaon") ;
36  tagCat.defineType("NetTagger-1") ;
37  tagCat.defineType("NetTagger-2") ;
38  tagCat.Print() ;
39 
40 
41 
42  // C o n s t r u c t a c a t e g o r y w i t h l a b e l s a n d i n d e c e s
43  // ----------------------------------------------------------------------------------------
44 
45  // Define a category with explicitly numbered states
46  RooCategory b0flav("b0flav","B0 flavour eigenstate") ;
47  b0flav.defineType("B0",-1) ;
48  b0flav.defineType("B0bar",1) ;
49  b0flav.Print() ;
50 
51 
52 
53  // G e n e r a t e d u m m y d a t a f o r t a b u l a t i o n d e m o
54  // ----------------------------------------------------------------------------
55 
56  // Generate a dummy dataset
57  RooRealVar x("x","x",0,10) ;
58  RooDataSet *data = RooPolynomial("p","p",x).generate(RooArgSet(x,b0flav,tagCat),10000) ;
59 
60 
61 
62  // P r i n t t a b l e s o f c a t e g o r y c o n t e n t s o f d a t a s e t s
63  // ------------------------------------------------------------------------------------------
64 
65  // Tables are equivalent of plots for categories
66  Roo1DTable* btable = data->table(b0flav) ;
67  btable->Print() ;
68  btable->Print("v") ;
69 
70  // Create table for subset of events matching cut expression
71  Roo1DTable* ttable = data->table(tagCat,"x>8.23") ;
72  ttable->Print() ;
73  ttable->Print("v") ;
74 
75  // Create table for all (tagCat x b0flav) state combinations
76  Roo1DTable* bttable = data->table(RooArgSet(tagCat,b0flav)) ;
77  bttable->Print("v") ;
78 
79  // Retrieve number of events from table
80  // Number can be non-integer if source dataset has weighed events
81  Double_t nb0 = btable->get("B0") ;
82  cout << "Number of events with B0 flavor is " << nb0 << endl ;
83 
84  // Retrieve fraction of events with "Lepton" tag
85  Double_t fracLep = ttable->getFrac("Lepton") ;
86  cout << "Fraction of events tagged with Lepton tag is " << fracLep << endl ;
87 
88 
89 
90  // D e f i n i n g r a n g e s f o r p l o t t i n g , f i t t i n g o n c a t e g o r i e s
91  // ------------------------------------------------------------------------------------------------------
92 
93  // Define named range as comma separated list of labels
94  tagCat.setRange("good","Lepton,Kaon") ;
95 
96  // Or add state names one by one
97  tagCat.addToRange("soso","NetTagger-1") ;
98  tagCat.addToRange("soso","NetTagger-2") ;
99 
100  // Use category range in dataset reduction specification
101  RooDataSet* goodData = (RooDataSet*) data->reduce(CutRange("good")) ;
102  goodData->table(tagCat)->Print("v") ;
103 
104 
105 }
Double_t get(const char *label, Bool_t silent=kFALSE) const
Return the table entry named &#39;label&#39;.
Definition: Roo1DTable.cxx:244
RooAbsData * reduce(const RooCmdArg &arg1, 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())
Create a reduced copy of this dataset.
Definition: RooAbsData.cxx:343
Double_t x[n]
Definition: legend1.C:17
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:37
RooCmdArg CutRange(const char *rangeName)
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:29
RooCategory represents a fundamental (non-derived) discrete value object.
Definition: RooCategory.h:25
double Double_t
Definition: RtypesCore.h:55
RooDataSet * generate(const RooArgSet &whatVars, Int_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none())
Generate a new dataset containing the specified variables with events sampled from our distribution...
Definition: RooAbsPdf.cxx:1702
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: Roo1DTable.h:52
RooPolynomial implements a polynomial p.d.f of the form By default coefficient a_0 is chosen to be 1...
Definition: RooPolynomial.h:28
Double_t getFrac(const char *label, Bool_t silent=kFALSE) const
Return the fraction of entries in the table contained in the slot named &#39;label&#39;.
Definition: Roo1DTable.cxx:301
Roo1DTable implements a one-dimensional table.
Definition: Roo1DTable.h:25
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:752