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Reference Guide
rf407_latextables.C
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1/// \file
2/// \ingroup tutorial_roofit
3/// \notebook -nodraw
4/// 'DATA AND CATEGORIES' RooFit tutorial macro #407
5///
6/// Latex printing of lists and sets of RooArgSets
7///
8/// \macro_output
9/// \macro_code
10/// \author 07/2008 - Wouter Verkerke
11
12#include "RooRealVar.h"
13#include "RooDataSet.h"
14#include "RooGaussian.h"
15#include "RooConstVar.h"
16#include "RooChebychev.h"
17#include "RooAddPdf.h"
18#include "RooExponential.h"
19#include "TCanvas.h"
20#include "TAxis.h"
21#include "RooPlot.h"
22using namespace RooFit ;
23
24
26{
27 // S e t u p c o m p o s i t e p d f
28 // --------------------------------------
29
30 // Declare observable x
31 RooRealVar x("x","x",0,10) ;
32
33 // Create two Gaussian PDFs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and their parameters
34 RooRealVar mean("mean","mean of gaussians",5) ;
35 RooRealVar sigma1("sigma1","width of gaussians",0.5) ;
36 RooRealVar sigma2("sigma2","width of gaussians",1) ;
37 RooGaussian sig1("sig1","Signal component 1",x,mean,sigma1) ;
38 RooGaussian sig2("sig2","Signal component 2",x,mean,sigma2) ;
39
40 // Sum the signal components into a composite signal p.d.f.
41 RooRealVar sig1frac("sig1frac","fraction of component 1 in signal",0.8,0.,1.) ;
42 RooAddPdf sig("sig","Signal",RooArgList(sig1,sig2),sig1frac) ;
43
44 // Build Chebychev polynomial p.d.f.
45 RooRealVar a0("a0","a0",0.5,0.,1.) ;
46 RooRealVar a1("a1","a1",0.2,0.,1.) ;
47 RooChebychev bkg1("bkg1","Background 1",x,RooArgSet(a0,a1)) ;
48
49 // Build expontential pdf
50 RooRealVar alpha("alpha","alpha",-1) ;
51 RooExponential bkg2("bkg2","Background 2",x,alpha) ;
52
53 // Sum the background components into a composite background p.d.f.
54 RooRealVar bkg1frac("sig1frac","fraction of component 1 in background",0.2,0.,1.) ;
55 RooAddPdf bkg("bkg","Signal",RooArgList(bkg1,bkg2),sig1frac) ;
56
57 // Sum the composite signal and background
58 RooRealVar bkgfrac("bkgfrac","fraction of background",0.5,0.,1.) ;
59 RooAddPdf model("model","g1+g2+a",RooArgList(bkg,sig),bkgfrac) ;
60
61
62
63 // M a k e l i s t o f p a r a m e t e r s b e f o r e a n d a f t e r f i t
64 // ----------------------------------------------------------------------------------------
65
66 // Make list of model parameters
67 RooArgSet* params = model.getParameters(x) ;
68
69 // Save snapshot of prefit parameters
70 RooArgSet* initParams = (RooArgSet*) params->snapshot() ;
71
72 // Do fit to data, to obtain error estimates on parameters
73 RooDataSet* data = model.generate(x,1000) ;
74 model.fitTo(*data) ;
75
76
77
78 // P r i n t l a t ex t a b l e o f p a r a m e t e r s o f p d f
79 // --------------------------------------------------------------------------
80
81
82 // Print parameter list in LaTeX for (one column with names, one column with values)
83 params->printLatex() ;
84
85 // Print parameter list in LaTeX for (names values|names values)
86 params->printLatex(Columns(2)) ;
87
88 // Print two parameter lists side by side (name values initvalues)
89 params->printLatex(Sibling(*initParams)) ;
90
91 // Print two parameter lists side by side (name values initvalues|name values initvalues)
92 params->printLatex(Sibling(*initParams),Columns(2)) ;
93
94 // Write LaTex table to file
95 params->printLatex(Sibling(*initParams),OutputFile("rf407_latextables.tex")) ;
96
97
98}
99
100
void printLatex(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
Output content of collection as LaTex table.
RooAbsCollection * snapshot(Bool_t deepCopy=kTRUE) const
Take a snap shot of current collection contents: An owning collection is returned containing clones o...
RooAddPdf is an efficient implementation of a sum of PDFs of the form.
Definition: RooAddPdf.h:29
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition: RooArgSet.h:28
Chebychev polynomial p.d.f.
Definition: RooChebychev.h:25
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:31
Exponential p.d.f.
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
Double_t x[n]
Definition: legend1.C:17
RooCmdArg Columns(Int_t ncol)
RooCmdArg Sibling(const RooAbsCollection &sibling)
RooCmdArg OutputFile(const char *fileName)