␛[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby␛[0m
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
1) 0x7ffececc65b0 RooRealVar:: x = 5 L(0 - 10) "x"
1) 0x7ffececc54a8 RooRealVar:: a0 = 0.5 L(0 - 1) "a0"
2) 0x7ffececc50b8 RooRealVar:: a1 = 0.2 L(0 - 1) "a1"
3) 0x7ffececc4710 RooRealVar:: alpha = -1 C L(-INF - +INF) "alpha"
4) 0x7ffececc3e60 RooRealVar:: bkg1frac = 0.2 L(0 - 1) "fraction of component 1 in background"
5) 0x7ffececc3300 RooRealVar:: bkgfrac = 0.5 L(0 - 1) "fraction of background"
6) 0x7ffececc61c0 RooRealVar:: mean = 5 C L(-INF - +INF) "mean of gaussians"
7) 0x7ffececc5dc0 RooRealVar:: sigma = 0.5 C L(-INF - +INF) "width of gaussians"
RooArgSet::parameters = (a0,a1,alpha,bkg1frac,bkgfrac,mean,sigma)
1) 0x7ffececc2c60 RooAddPdf:: model[ bkgfrac * bkg + [%] * sig ] = 0.582695 "g1+g2+a"
2) 0x7ffececc37c0 RooAddPdf:: bkg[ bkg1frac * bkg1 + [%] * bkg2 ] = 0.16539 "Signal"
3) 0x7ffececc4bd0 RooChebychev:: bkg1[ x=x coefficients=(a0,a1) ] = 0.8 "Background 1"
4) 0x7ffececc4250 RooExponential:: bkg2[ x=x c=alpha ] = 0.00673795 "Background 2"
5) 0x7ffececc5898 RooGaussian:: sig[ x=x mean=mean sigma=sigma ] = 1 "Signal component 1"
[#1] INFO:ObjectHandling -- RooCustomizer::build(model): tree node sig will be replaced by sigsum
[#1] INFO:ObjectHandling -- RooCustomizer::build(model) Branch node RooAddPdf::model cloned: depends on a replaced parameter
[#1] INFO:ObjectHandling -- RooCustomizer::build(model) Branch node sig is already replaced
0x55d6b2873ba0 RooAddPdf::model_cust = 0.582695 [Auto,Dirty]
0x7ffececc37c0/V- RooAddPdf::bkg = 0.16539 [Auto,Dirty]
0x7ffececc4bd0/V- RooChebychev::bkg1 = 0.8 [Auto,Dirty]
0x7ffececc65b0/V- RooRealVar::x = 5
0x7ffececc54a8/V- RooRealVar::a0 = 0.5
0x7ffececc50b8/V- RooRealVar::a1 = 0.2
0x7ffececc3e60/V- RooRealVar::bkg1frac = 0.2
0x7ffececc4250/V- RooExponential::bkg2 = 0.00673795 [Auto,Dirty]
0x7ffececc65b0/V- RooRealVar::x = 5
0x7ffececc4710/V- RooRealVar::alpha = -1
0x7ffececc3300/V- RooRealVar::bkgfrac = 0.5
0x7ffececc1128/V- RooAddPdf::sigsum = 1 [Auto,Dirty]
0x7ffececc5898/V- RooGaussian::sig = 1 [Auto,Dirty]
0x7ffececc65b0/V- RooRealVar::x = 5
0x7ffececc61c0/V- RooRealVar::mean = 5
0x7ffececc5dc0/V- RooRealVar::sigma = 0.5
0x7ffececc17c8/V- RooRealVar::sig1frac = 0.8
0x7ffececc1bb8/V- RooGaussian::sig2 = 1 [Auto,Dirty]
0x7ffececc65b0/V- RooRealVar::x = 5
0x7ffececc61c0/V- RooRealVar::mean = 5
0x7ffececc20e0/V- RooRealVar::sigma2 = 1