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Reference Guide
rf407_latextables.py
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1 ## \file
2 ## \ingroup tutorial_roofit
3 ## \notebook -nodraw
4 ## Data and categories: latex printing of lists and sets of RooArgSets
5 ##
6 ## \macro_code
7 ##
8 ## \date February 2018
9 ## \authors Clemens Lange, Wouter Verkerke (C++ version)
10 
11 import ROOT
12 
13 
14 # Setup composite pdf
15 # --------------------------------------
16 
17 # Declare observable x
18 x = ROOT.RooRealVar("x", "x", 0, 10)
19 
20 # Create two Gaussian PDFs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and
21 # their parameters
22 mean = ROOT.RooRealVar("mean", "mean of gaussians", 5)
23 sigma1 = ROOT.RooRealVar("sigma1", "width of gaussians", 0.5)
24 sigma2 = ROOT.RooRealVar("sigma2", "width of gaussians", 1)
25 sig1 = ROOT.RooGaussian("sig1", "Signal component 1", x, mean, sigma1)
26 sig2 = ROOT.RooGaussian("sig2", "Signal component 2", x, mean, sigma2)
27 
28 # Sum the signal components into a composite signal pdf
29 sig1frac = ROOT.RooRealVar(
30  "sig1frac", "fraction of component 1 in signal", 0.8, 0., 1.)
31 sig = ROOT.RooAddPdf(
32  "sig", "Signal", ROOT.RooArgList(sig1, sig2), ROOT.RooArgList(sig1frac))
33 
34 # Build Chebychev polynomial pdf
35 a0 = ROOT.RooRealVar("a0", "a0", 0.5, 0., 1.)
36 a1 = ROOT.RooRealVar("a1", "a1", -0.2, 0., 1.)
37 bkg1 = ROOT.RooChebychev("bkg1", "Background 1",
38  x, ROOT.RooArgList(a0, a1))
39 
40 # Build expontential pdf
41 alpha = ROOT.RooRealVar("alpha", "alpha", -1)
42 bkg2 = ROOT.RooExponential("bkg2", "Background 2", x, alpha)
43 
44 # Sum the background components into a composite background pdf
45 bkg1frac = ROOT.RooRealVar(
46  "sig1frac", "fraction of component 1 in background", 0.2, 0., 1.)
47 bkg = ROOT.RooAddPdf(
48  "bkg", "Signal", ROOT.RooArgList(bkg1, bkg2), ROOT.RooArgList(sig1frac))
49 
50 # Sum the composite signal and background
51 bkgfrac = ROOT.RooRealVar("bkgfrac", "fraction of background", 0.5, 0., 1.)
52 model = ROOT.RooAddPdf(
53  "model", "g1+g2+a", ROOT.RooArgList(bkg, sig), ROOT.RooArgList(bkgfrac))
54 
55 # Make list of parameters before and after fit
56 # ----------------------------------------------------------------------------------------
57 
58 # Make list of model parameters
59 params = model.getParameters(ROOT.RooArgSet(x))
60 
61 # Save snapshot of prefit parameters
62 initParams = params.snapshot()
63 
64 # Do fit to data, obtain error estimates on parameters
65 data = model.generate(ROOT.RooArgSet(x), 1000)
66 model.fitTo(data)
67 
68 # Print LateX table of parameters of pdf
69 # --------------------------------------------------------------------------
70 
71 # Print parameter list in LaTeX for (one column with names, column with
72 # values)
73 params.printLatex()
74 
75 # Print parameter list in LaTeX for (names values|names values)
76 params.printLatex(ROOT.RooFit.Columns(2))
77 
78 # Print two parameter lists side by side (name values initvalues)
79 params.printLatex(ROOT.RooFit.Sibling(initParams))
80 
81 # Print two parameter lists side by side (name values initvalues|name
82 # values initvalues)
83 params.printLatex(ROOT.RooFit.Sibling(initParams), ROOT.RooFit.Columns(2))
84 
85 # Write LaTex table to file
86 params.printLatex(ROOT.RooFit.Sibling(initParams),
87  ROOT.RooFit.OutputFile("rf407_latextables.tex"))