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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("sig1frac", "fraction of component 1 in signal", 0.8, 0.0, 1.0)
30 sig = ROOT.RooAddPdf("sig", "Signal", ROOT.RooArgList(sig1, sig2), ROOT.RooArgList(sig1frac))
31 
32 # Build Chebychev polynomial pdf
33 a0 = ROOT.RooRealVar("a0", "a0", 0.5, 0.0, 1.0)
34 a1 = ROOT.RooRealVar("a1", "a1", -0.2, 0.0, 1.0)
35 bkg1 = ROOT.RooChebychev("bkg1", "Background 1", x, ROOT.RooArgList(a0, a1))
36 
37 # Build expontential pdf
38 alpha = ROOT.RooRealVar("alpha", "alpha", -1)
39 bkg2 = ROOT.RooExponential("bkg2", "Background 2", x, alpha)
40 
41 # Sum the background components into a composite background pdf
42 bkg1frac = ROOT.RooRealVar("sig1frac", "fraction of component 1 in background", 0.2, 0.0, 1.0)
43 bkg = ROOT.RooAddPdf("bkg", "Signal", ROOT.RooArgList(bkg1, bkg2), ROOT.RooArgList(sig1frac))
44 
45 # Sum the composite signal and background
46 bkgfrac = ROOT.RooRealVar("bkgfrac", "fraction of background", 0.5, 0.0, 1.0)
47 model = ROOT.RooAddPdf("model", "g1+g2+a", ROOT.RooArgList(bkg, sig), ROOT.RooArgList(bkgfrac))
48 
49 # Make list of parameters before and after fit
50 # ----------------------------------------------------------------------------------------
51 
52 # Make list of model parameters
53 params = model.getParameters(ROOT.RooArgSet(x))
54 
55 # Save snapshot of prefit parameters
56 initParams = params.snapshot()
57 
58 # Do fit to data, obtain error estimates on parameters
59 data = model.generate(ROOT.RooArgSet(x), 1000)
60 model.fitTo(data)
61 
62 # Print LateX table of parameters of pdf
63 # --------------------------------------------------------------------------
64 
65 # Print parameter list in LaTeX for (one column with names, column with
66 # values)
67 params.printLatex()
68 
69 # Print parameter list in LaTeX for (names values|names values)
70 params.printLatex(Columns=2)
71 
72 # Print two parameter lists side by side (name values initvalues)
73 params.printLatex(Sibling=initParams)
74 
75 # Print two parameter lists side by side (name values initvalues|name
76 # values initvalues)
77 params.printLatex(Sibling=initParams, Columns=2)
78 
79 # Write LaTex table to file
80 params.printLatex(Sibling=initParams, OutputFile="rf407_latextables.tex")