[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
[#0] WARNING:InputArguments -- The parameter 'sigma' with range [-1e+30, 1e+30] of the RooGaussian 'sig' exceeds the safe range of (0, inf). Advise to limit its range.
1) 0x7ffd0fd806d0 RooRealVar:: x = 5 L(0 - 10) "x"
1) 0x7ffd0fd7f790 RooRealVar:: a0 = 0.5 L(0 - 1) "a0"
2) 0x7ffd0fd7f420 RooRealVar:: a1 = 0.2 L(0 - 1) "a1"
3) 0x7ffd0fd7eb10 RooRealVar:: alpha = -1 C L(-INF - +INF) "alpha"
4) 0x7ffd0fd7e328 RooRealVar:: bkg1frac = 0.2 L(0 - 1) "fraction of component 1 in background"
5) 0x7ffd0fd7d840 RooRealVar:: bkgfrac = 0.5 L(0 - 1) "fraction of background"
6) 0x7ffd0fd80360 RooRealVar:: mean = 5 C L(-INF - +INF) "mean of gaussians"
7) 0x7ffd0fd7ffe0 RooRealVar:: sigma = 0.5 C L(-INF - +INF) "width of gaussians"
RooArgSet::parameters = (a0,a1,alpha,bkg1frac,bkgfrac,mean,sigma)
1) 0x7ffd0fd7d1b8 RooAddPdf:: model[ bkgfrac * bkg + [%] * sig ] = 0.582695 "g1+g2+a"
2) 0x7ffd0fd7dca0 RooAddPdf:: bkg[ bkg1frac * bkg1 + [%] * bkg2 ] = 0.16539 "Signal"
3) 0x7ffd0fd7ef70 RooChebychev:: bkg1[ x=x coefficients=(a0,a1) ] = 0.8 "Background 1"
4) 0x7ffd0fd7e698 RooExponential:: bkg2[ x=x c=alpha ] = 0.00673795 "Background 2"
5) 0x7ffd0fd7fb00 RooGaussian:: sig[ x=x mean=mean sigma=sigma ] = 1 "Signal component 1"
[#0] WARNING:InputArguments -- The parameter 'sigma2' with range [-1e+30, 1e+30] of the RooGaussian 'sig2' exceeds the safe range of (0, inf). Advise to limit its range.
[#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
0x55ead90bceb0 RooAddPdf::model_cust = 0.582695 [Auto,Dirty]
0x7ffd0fd7dca0/V- RooAddPdf::bkg = 0.16539 [Auto,Dirty]
0x7ffd0fd7ef70/V- RooChebychev::bkg1 = 0.8 [Auto,Dirty]
0x7ffd0fd806d0/V- RooRealVar::x = 5
0x7ffd0fd7f790/V- RooRealVar::a0 = 0.5
0x7ffd0fd7f420/V- RooRealVar::a1 = 0.2
0x7ffd0fd7e328/V- RooRealVar::bkg1frac = 0.2
0x7ffd0fd7e698/V- RooExponential::bkg2 = 0.00673795 [Auto,Dirty]
0x7ffd0fd806d0/V- RooRealVar::x = 5
0x7ffd0fd7eb10/V- RooRealVar::alpha = -1
0x7ffd0fd7d840/V- RooRealVar::bkgfrac = 0.5
0x7ffd0fd7b7f0/V- RooAddPdf::sigsum = 1 [Auto,Dirty]
0x7ffd0fd7fb00/V- RooGaussian::sig = 1 [Auto,Dirty]
0x7ffd0fd806d0/V- RooRealVar::x = 5
0x7ffd0fd80360/V- RooRealVar::mean = 5
0x7ffd0fd7ffe0/V- RooRealVar::sigma = 0.5
0x7ffd0fd7be78/V- RooRealVar::sig1frac = 0.8
0x7ffd0fd7c1e8/V- RooGaussian::sig2 = 1 [Auto,Dirty]
0x7ffd0fd806d0/V- RooRealVar::x = 5
0x7ffd0fd80360/V- RooRealVar::mean = 5
0x7ffd0fd7c6c8/V- RooRealVar::sigma2 = 1