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Reference Guide
rf406_cattocatfuncs.C
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1 /// \file
2 /// \ingroup tutorial_roofit
3 /// \notebook -nodraw
4 /// 'DATA AND CATEGORIES' RooFit tutorial macro #406
5 ///
6 /// Demonstration of discrete-->discrete (invertable) functions
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 "RooMappedCategory.h"
18 #include "RooMultiCategory.h"
19 #include "RooSuperCategory.h"
20 #include "Roo1DTable.h"
21 #include "TCanvas.h"
22 #include "TAxis.h"
23 #include "RooPlot.h"
24 using namespace RooFit ;
25 
26 
27 void rf406_cattocatfuncs()
28 {
29  // C o n s t r u c t t w o c a t e g o r i e 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  // Define a category with explicitly numbered states
41  RooCategory b0flav("b0flav","B0 flavour eigenstate") ;
42  b0flav.defineType("B0",-1) ;
43  b0flav.defineType("B0bar",1) ;
44  b0flav.Print() ;
45 
46  // Construct a dummy dataset with random values of tagCat and b0flav
47  RooRealVar x("x","x",0,10) ;
48  RooPolynomial p("p","p",x) ;
49  RooDataSet* data = p.generate(RooArgSet(x,b0flav,tagCat),10000) ;
50 
51 
52 
53  // C r e a t e a c a t - > c a t m a p p i n g c a t e g o r y
54  // ---------------------------------------------------------------------
55 
56  // A RooMappedCategory is category->category mapping function based on string expression
57  // The constructor takes an input category an a default state name to which unassigned
58  // states are mapped
59  RooMappedCategory tcatType("tcatType","tagCat type",tagCat,"Cut based") ;
60 
61  // Enter fully specified state mappings
62  tcatType.map("Lepton","Cut based") ;
63  tcatType.map("Kaon","Cut based") ;
64 
65  // Enter a wilcard expression mapping
66  tcatType.map("NetTagger*","Neural Network") ;
67 
68  // Make a table of the mapped category state multiplicity in data
69  Roo1DTable* mtable = data->table(tcatType) ;
70  mtable->Print("v") ;
71 
72 
73 
74  // C r e a t e a c a t X c a t p r o d u c t c a t e g o r y
75  // ----------------------------------------------------------------------
76 
77  // A SUPER-category is 'product' of _lvalue_ categories. The state names of a super
78  // category is a composite of the state labels of the input categories
79  RooSuperCategory b0Xtcat("b0Xtcat","b0flav X tagCat",RooArgSet(b0flav,tagCat)) ;
80 
81  // Make a table of the product category state multiplicity in data
82  Roo1DTable* stable = data->table(b0Xtcat) ;
83  stable->Print("v") ;
84 
85  // Since the super category is an lvalue, assignment is explicitly possible
86  b0Xtcat.setLabel("{B0bar;Lepton}") ;
87 
88 
89 
90  // A MULTI-category is a 'product' of any category (function). The state names of a super
91  // category is a composite of the state labels of the input categories
92  RooMultiCategory b0Xttype("b0Xttype","b0flav X tagType",RooArgSet(b0flav,tcatType)) ;
93 
94  // Make a table of the product category state multiplicity in data
95  Roo1DTable* xtable = data->table(b0Xttype) ;
96  xtable->Print("v") ;
97 
98 
99 }
Double_t x[n]
Definition: legend1.C:17
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
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:24
RooMultiCategory consolidates several RooAbsCategory objects into a single category.
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: Roo1DTable.h:51
RooPolynomial implements a polynomial p.d.f of the form By default coefficient a_0 is chosen to be 1...
Definition: RooPolynomial.h:28
RooSuperCategory consolidates several RooAbsCategoryLValue objects into a single category.
Roo1DTable implements a one-dimensional table.
Definition: Roo1DTable.h:24
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:768