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Reference Guide
rf406_cattocatfuncs.C File Reference

Detailed Description

View in nbviewer Open in SWAN Data and categories: demonstration of discrete-->discrete (invertible) functions

RooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
RooCategory::tagCat = Lepton(idx = 0)
RooCategory::b0flav = B0(idx = -1)
Table tcatType : pData
+----------------+------+
| Cut based | 5040 |
| Neural Network | 4960 |
+----------------+------+
Table b0Xtcat : pData
+---------------------+------+
| {B0;Lepton} | 1302 |
| {B0bar;Lepton} | 1192 |
| {B0;Kaon} | 1232 |
| {B0bar;Kaon} | 1314 |
| {B0;NetTagger-1} | 1242 |
| {B0bar;NetTagger-1} | 1208 |
| {B0;NetTagger-2} | 1282 |
| {B0bar;NetTagger-2} | 1228 |
+---------------------+------+
Table b0Xttype : pData
+------------------------+------+
| {B0;Cut based} | 2534 |
| {B0bar;Cut based} | 2506 |
| {B0;Neural Network} | 2524 |
| {B0bar;Neural Network} | 2436 |
+------------------------+------+
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooPolynomial.h"
#include "RooCategory.h"
#include "Roo1DTable.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
using namespace RooFit;
{
// C o n s t r u c t t w o c a t e g o r i e s
// ----------------------------------------------
// Define a category with labels only
RooCategory tagCat("tagCat", "Tagging category");
tagCat.defineType("Lepton");
tagCat.defineType("Kaon");
tagCat.defineType("NetTagger-1");
tagCat.defineType("NetTagger-2");
tagCat.Print();
// Define a category with explicitly numbered states
RooCategory b0flav("b0flav", "B0 flavour eigenstate");
b0flav.defineType("B0", -1);
b0flav.defineType("B0bar", 1);
b0flav.Print();
// Construct a dummy dataset with random values of tagCat and b0flav
RooRealVar x("x", "x", 0, 10);
RooPolynomial p("p", "p", x);
RooDataSet *data = p.generate(RooArgSet(x, b0flav, tagCat), 10000);
// 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
// ---------------------------------------------------------------------
// A RooMappedCategory is category->category mapping function based on string expression
// The constructor takes an input category an a default state name to which unassigned
// states are mapped
RooMappedCategory tcatType("tcatType", "tagCat type", tagCat, "Cut based");
// Enter fully specified state mappings
tcatType.map("Lepton", "Cut based");
tcatType.map("Kaon", "Cut based");
// Enter a wilcard expression mapping
tcatType.map("NetTagger*", "Neural Network");
// Make a table of the mapped category state multiplicity in data
Roo1DTable *mtable = data->table(tcatType);
mtable->Print("v");
// 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
// ----------------------------------------------------------------------
// A SUPER-category is 'product' of _lvalue_ categories. The state names of a super
// category is a composite of the state labels of the input categories
RooSuperCategory b0Xtcat("b0Xtcat", "b0flav X tagCat", RooArgSet(b0flav, tagCat));
// Make a table of the product category state multiplicity in data
Roo1DTable *stable = data->table(b0Xtcat);
stable->Print("v");
// Since the super category is an lvalue, assignment is explicitly possible
b0Xtcat.setLabel("{B0bar;Lepton}");
// A MULTI-category is a 'product' of any category (function). The state names of a super
// category is a composite of the state labels of the input categories
RooMultiCategory b0Xttype("b0Xttype", "b0flav X tagType", RooArgSet(b0flav, tcatType));
// Make a table of the product category state multiplicity in data
Roo1DTable *xtable = data->table(b0Xttype);
xtable->Print("v");
}
Date
July 2008
Author
Wouter Verkerke

Definition in file rf406_cattocatfuncs.C.

RooSuperCategory.h
Roo1DTable
Roo1DTable implements a one-dimensional table.
Definition: Roo1DTable.h:23
Roo1DTable::Print
virtual void Print(Option_t *options=0) const
Print TNamed name and title.
Definition: Roo1DTable.h:50
x
Double_t x[n]
Definition: legend1.C:17
TCanvas.h
RooDataSet.h
RooPolynomial.h
RooMappedCategory
RooMappedCategory provides a category-to-category mapping defined by pattern matching on their state ...
Definition: RooMappedCategory.h:27
RooAbsData::table
virtual Roo1DTable * table(const RooArgSet &catSet, const char *cuts="", const char *opts="") const
Construct table for product of categories in catSet.
Definition: RooAbsData.cxx:749
RooMultiCategory
RooMultiCategory connects several RooAbsCategory objects into a single category.
Definition: RooMultiCategory.h:28
RooMultiCategory.h
RooFit
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Definition: RooCFunction1Binding.h:29
RooPolynomial
RooPolynomial implements a polynomial p.d.f of the form.
Definition: RooPolynomial.h:28
RooPlot.h
RooCategory.h
RooRealVar.h
rf406_cattocatfuncs
Definition: rf406_cattocatfuncs.py:1
Roo1DTable.h
RooCategory
RooCategory is an object to represent discrete states.
Definition: RooCategory.h:27
RooSuperCategory
The RooSuperCategory can join several RooAbsCategoryLValue objects into a single category.
Definition: RooSuperCategory.h:27
TAxis.h
RooDataSet
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:33
RooRealVar
RooRealVar represents a variable that can be changed from the outside.
Definition: RooRealVar.h:37
RooMappedCategory.h
RooArgSet
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:29