[#1] INFO:InputArguments -- Silent clipping of values to range in `RooRealVar::setVal()` enabled.
[#1] INFO:NumericIntegration -- RooRealIntegral::init(PnmuTone_Int[L]) using numeric integrator RooIntegrator1D to calculate Int(L)
generate toy data with nEvents = 692
Minuit2Minimizer: Minimize with max-calls 1000 convergence for edm < 1 strategy 1
Minuit2Minimizer : Valid minimum - status = 0
FVAL  = -1143.51305519945186
Edm   = 2.62634022232556406e-06
Nfcn  = 85
deltaMSq	  = 1.00008	 +/-  20.6319	(limited)
sinSq2theta	  = 0.02	 +/-  0.000213424	(limited)
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) 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 381.692 μs
Metropolis-Hastings progress: ....................................................................................................
[#1] INFO:Eval -- Proposal acceptance rate: 0.4%
[#1] INFO:Eval -- Number of steps in chain: 20
[#0] ERROR:InputArguments -- MCMCInterval::CreateKeysPdf: creation of Keys PDF failed: Number of burn-in steps (num steps to ignore) >= number of steps in Markov chain.
[#0] WARNING:NumericIntegration -- RooAdaptiveIntegratorND::dtor(PnmuTone) WARNING: Number of suppressed warningings about integral evaluations where target precision was not reached is 633
Real time 0:00:35, CP time 35.770
MCMC actual confidence level: 0
[#0] ERROR:InputArguments -- MCMCInterval::CreateKeysPdf: creation of Keys PDF failed: Number of burn-in steps (num steps to ignore) >= number of steps in Markov chain.
[#0] ERROR:InputArguments -- MCMCIntervalPlot::DrawKeysPdfInterval: Couldn't get posterior Keys PDF.
[#1] INFO:Minimization -- RooProfileLL::evaluate(RooEvaluatorWrapper_Profile[deltaMSq,sinSq2theta]) Creating instance of MINUIT
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_modelData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooProfileLL::evaluate(RooEvaluatorWrapper_Profile[deltaMSq,sinSq2theta]) 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[deltaMSq,sinSq2theta]) minimum found at (deltaMSq=1, sinSq2theta=0.02)
.[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
.[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Minimization -- LikelihoodInterval - Finding the contour of deltaMSq ( 0 ) and sinSq2theta ( 1 ) 
Real time 0:01:03, CP time 63.290