FeldmanCousins: ntoys per point = 499
FeldmanCousins: nEvents per toy will fluctuate about  expectation
will use global observables for unconditional ensemble
RooArgSet:: = (nominalLumi,nom_alpha_syst1,nom_alpha_syst2,nom_alpha_syst3,nom_gamma_stat_channel1_bin_0,nom_gamma_stat_channel1_bin_1)

=== Using the following for ModelConfig ===
Observables:             RooArgSet:: = (obs_x_channel1,channelCat)
Parameters of Interest:  RooArgSet:: = (SigXsecOverSM)
Nuisance Parameters:     RooArgSet:: = (alpha_syst2,alpha_syst3,gamma_stat_channel1_bin_0,gamma_stat_channel1_bin_1)
Global Observables:      RooArgSet:: = (nominalLumi,nom_alpha_syst1,nom_alpha_syst2,nom_alpha_syst3,nom_gamma_stat_channel1_bin_0,nom_gamma_stat_channel1_bin_1)
PDF:                     RooSimultaneous::simPdf[ indexCat=channelCat channel1=model_channel1 ] = 0.190787

FeldmanCousins: Model has nuisance parameters, will do profile construction
FeldmanCousins: # points to test = 12
[#1] INFO:Eval -- lookup index = 0
NeymanConstruction: Prog: 1/12 total MC = 499 this test stat = 0
 SigXsecOverSM=0.125 alpha_syst2=0.61993 alpha_syst3=0.233335 gamma_stat_channel1_bin_0=1.03212 gamma_stat_channel1_bin_1=1.04741 [-inf, 0.329584]  in interval = 1

NeymanConstruction: Prog: 2/12 total MC = 499 this test stat = 0
 SigXsecOverSM=0.375 alpha_syst2=0.458263 alpha_syst3=0.183235 gamma_stat_channel1_bin_0=1.02329 gamma_stat_channel1_bin_1=1.03422 [-inf, 0.888912]  in interval = 1

NeymanConstruction: Prog: 3/12 total MC = 499 this test stat = 0
 SigXsecOverSM=0.625 alpha_syst2=0.292479 alpha_syst3=0.126723 gamma_stat_channel1_bin_0=1.01484 gamma_stat_channel1_bin_1=1.02374 [-inf, 1.39758]  in interval = 1

NeymanConstruction: Prog: 4/12 total MC = 499 this test stat = 0
 SigXsecOverSM=0.875 alpha_syst2=0.130656 alpha_syst3=0.0953602 gamma_stat_channel1_bin_0=1.00646 gamma_stat_channel1_bin_1=1.01288 [-inf, 1.51992]  in interval = 1

NeymanConstruction: Prog: 5/12 total MC = 499 this test stat = 0.000124169
 SigXsecOverSM=1.125 alpha_syst2=-0.0146474 alpha_syst3=0.0173394 gamma_stat_channel1_bin_0=0.999267 gamma_stat_channel1_bin_1=1.003 [-inf, 1.54198]  in interval = 1

NeymanConstruction: Prog: 6/12 total MC = 499 this test stat = 0.0913576
 SigXsecOverSM=1.375 alpha_syst2=-0.15078 alpha_syst3=-0.0572169 gamma_stat_channel1_bin_0=0.99238 gamma_stat_channel1_bin_1=0.993157 [-inf, 1.78377]  in interval = 1

NeymanConstruction: Prog: 7/12 total MC = 499 this test stat = 0.349003
 SigXsecOverSM=1.625 alpha_syst2=-0.294555 alpha_syst3=-0.0932947 gamma_stat_channel1_bin_0=0.985516 gamma_stat_channel1_bin_1=0.983192 [-inf, 1.66921]  in interval = 1

NeymanConstruction: Prog: 8/12 total MC = 499 this test stat = 0.767692
 SigXsecOverSM=1.875 alpha_syst2=-0.424297 alpha_syst3=-0.146312 gamma_stat_channel1_bin_0=0.979248 gamma_stat_channel1_bin_1=0.973447 [-inf, 1.5144]  in interval = 1

NeymanConstruction: Prog: 9/12 total MC = 499 this test stat = 1.34313
 SigXsecOverSM=2.125 alpha_syst2=-0.546305 alpha_syst3=-0.198112 gamma_stat_channel1_bin_0=0.973364 gamma_stat_channel1_bin_1=0.963869 [-inf, 1.30266]  in interval = 0

NeymanConstruction: Prog: 10/12 total MC = 499 this test stat = 2.07172
 SigXsecOverSM=2.375 alpha_syst2=-0.66027 alpha_syst3=-0.248685 gamma_stat_channel1_bin_0=0.967841 gamma_stat_channel1_bin_1=0.954463 [-inf, 1.5387]  in interval = 0

NeymanConstruction: Prog: 11/12 total MC = 499 this test stat = 2.9476
 SigXsecOverSM=2.625 alpha_syst2=-0.766369 alpha_syst3=-0.29799 gamma_stat_channel1_bin_0=0.962657 gamma_stat_channel1_bin_1=0.945235 [-inf, 1.30108]  in interval = 0

NeymanConstruction: Prog: 12/12 total MC = 499 this test stat = 3.96711
 SigXsecOverSM=2.875 alpha_syst2=-0.865262 alpha_syst3=-0.345965 gamma_stat_channel1_bin_0=0.95779 gamma_stat_channel1_bin_1=0.936192 [-inf, 1.35603]  in interval = 0

[#1] INFO:Eval -- 8 points in interval

95% interval on SigXsecOverSM is : [0.125, 1.875] 
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Minimization --  Including the following constraint terms in minimization: (lumiConstraint,alpha_syst1Constraint,alpha_syst2Constraint,alpha_syst3Constraint,gamma_stat_channel1_bin_0_constraint,gamma_stat_channel1_bin_1_constraint)
[#1] INFO:Minimization -- The global observables are not defined , normalize constraints with respect to the parameters (Lumi,SigXsecOverSM,alpha_syst1,alpha_syst2,alpha_syst3,gamma_stat_channel1_bin_0,gamma_stat_channel1_bin_1)
[#1] INFO:Fitting -- RooAbsPdf::fitTo(simPdf) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using generic CPU library compiled with no vectorizations
[#1] INFO:Fitting -- Creation of NLL object took 538.413 μs
[#1] INFO:Minimization -- RooProfileLL::evaluate(RooEvaluatorWrapper_Profile[SigXsecOverSM]) Creating instance of MINUIT
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_simPdf_obsData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooProfileLL::evaluate(RooEvaluatorWrapper_Profile[SigXsecOverSM]) determining minimum likelihood for current configurations w.r.t all observable
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Minimization -- RooProfileLL::evaluate(RooEvaluatorWrapper_Profile[SigXsecOverSM]) minimum found at (SigXsecOverSM=1.12136)
.[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only

Will use these parameter points to generate pseudo data for bkg only
  1) 0x8920cb0 RooRealVar::               alpha_syst2 = 0.710958 +/- 0.914123  L(-5 - 5)  "alpha_syst2"
  2) 0x89211c0 RooRealVar::               alpha_syst3 = 0.261478 +/- 0.929174  L(-5 - 5)  "alpha_syst3"
  3) 0x89216d0 RooRealVar:: gamma_stat_channel1_bin_0 = 1.03677 +/- 0.0462911  L(0 - 1.25)  "gamma_stat_channel1_bin_0"
  4) 0x8921be0 RooRealVar:: gamma_stat_channel1_bin_1 = 1.05318 +/- 0.0761263  L(0 - 1.5)  "gamma_stat_channel1_bin_1"
  5) 0x89220f0 RooRealVar::             SigXsecOverSM = 0 +/- 0  L(0 - 3) B(12)  "SigXsecOverSM"
-2 sigma  band 0
-1 sigma  band 0.105 [Power Constraint)]
median of band 0.855
+1 sigma  band 1.605
+2 sigma  band 2.085

observed 95% upper-limit 1.875
CLb strict [P(toy>obs|0)] for observed 95% upper-limit 0.966667
CLb inclusive [P(toy>=obs|0)] for observed 95% upper-limit 0.966667