[?1034h FCN=1275.92 FROM MIGRAD STATUS=CONVERGED 182 CALLS 183 TOTAL EDM=6.9928e-07 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 Constant 2.13966e+03 2.67774e+01 3.22551e-01 -1.41476e-05 2 Mean 1.99592e+00 2.16136e-04 3.76584e-06 3.35212e+00 3 Sigma 2.49809e-02 2.26103e-04 1.74775e-05 -7.80340e-01 0.005 2.08 1.92 2.25 1.74 51 Looking at lxy bin---------- 0.1 - 1.0 ---------------- signal events in this bin 2115.0 1.74 2.25 51 x_unmasked [1.745, 1.755, 1.765, 1.775, 1.785, 1.795, 1.805, 1.815, 1.825, 1.835, 1.845, 1.855, 1.865, 1.875, 1.885, 1.895, 1.905, 1.915, 1.925, 1.935, 1.945, 1.955, 1.965, 1.975, 1.985, 1.995, 2.005, 2.015, 2.025, 2.035, 2.045, 2.055, 2.065, 2.075, 2.085, 2.095, 2.105, 2.115, 2.125, 2.135, 2.145, 2.155, 2.165, 2.175, 2.185, 2.195, 2.205, 2.215, 2.225, 2.235, 2.245] y_unmasked [15093.0, 15003.0, 15171.0, 15047.0, 15008.0, 14984.0, 15160.0, 15254.0, 15072.0, 15018.0, 15233.0, 15372.0, 15244.0, 15220.0, 15371.0, 15540.0, 15174.0, 15541.0, 15510.0, 15692.0, 15384.0, 15410.0, 15563.0, 15477.0, 15488.0, 15585.0, 15608.0, 15605.0, 15798.0, 15345.0, 15494.0, 15702.0, 15537.0, 15627.0, 15535.0, 15483.0, 15692.0, 15548.0, 15630.0, 15552.0, 15685.0, 15551.0, 15695.0, 15768.0, 15579.0, 15613.0, 15616.0, 15430.0, 15807.0, 15244.0, 15392.0] y_unmasked_error [122.85357138 122.48673398 123.17061338 122.66621377 122.50714265 122.40914998 123.12595177 123.50708482 122.76807403 122.5479498 123.42204017 123.98386992 123.46659467 123.36936411 123.97983707 124.65953634 123.18279101 124.6635472 124.53915047 125.26771332 124.03225387 124.13702107 124.75175349 124.40659147 124.45079349 124.83989747 124.93198149 124.91997438 125.69009508 123.87493693 124.47489707 125.30762148 124.64750298 125.00799974 124.6394801 124.43070361 125.26771332 124.69161961 125.0199984 124.70765814 125.23977004 124.7036487 125.2796871 125.57069722 124.81586438 124.95199078 124.96399481 124.21755109 125.72589232 123.46659467 124.06449935] 51 x_masked [1.745, 1.755, 1.765, 1.775, 1.785, 1.795, 1.805, 1.815, 1.825, 1.835, 1.845, 1.855, 1.865, 1.875, 1.885, 1.895, 1.905, 1.915, 2.085, 2.095, 2.105, 2.115, 2.125, 2.135, 2.145, 2.155, 2.165, 2.175, 2.185, 2.195, 2.205, 2.215, 2.225, 2.235, 2.245] y_masked [15093.0, 15003.0, 15171.0, 15047.0, 15008.0, 14984.0, 15160.0, 15254.0, 15072.0, 15018.0, 15233.0, 15372.0, 15244.0, 15220.0, 15371.0, 15540.0, 15174.0, 15541.0, 15535.0, 15483.0, 15692.0, 15548.0, 15630.0, 15552.0, 15685.0, 15551.0, 15695.0, 15768.0, 15579.0, 15613.0, 15616.0, 15430.0, 15807.0, 15244.0, 15392.0] y_masked_error [122.85357138 122.48673398 123.17061338 122.66621377 122.50714265 122.40914998 123.12595177 123.50708482 122.76807403 122.5479498 123.42204017 123.98386992 123.46659467 123.36936411 123.97983707 124.65953634 123.18279101 124.6635472 124.6394801 124.43070361 125.26771332 124.69161961 125.0199984 124.70765814 125.23977004 124.7036487 125.2796871 125.57069722 124.81586438 124.95199078 124.96399481 124.21755109 125.72589232 123.46659467 124.06449935] [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'R1' created with bounds [1.74,1.92] [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'R2' created with bounds [2.08,2.25] [#1] INFO:DataHandling -- RooDataHist::adjustBinning(data): fit range of variable x expanded to nearest bin boundaries: [1.74,2.25] --> [1.74,2.25] [#1] INFO:Minization -- p.d.f. provides expected number of events, including extended term in likelihood. [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R1) constructing test statistic for sub-range named R1 [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForR1' created with bounds [1.74,2.25] [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_model_data_R1' created with bounds [1.74,1.92] [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R2) constructing test statistic for sub-range named R2 [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'NormalizationRangeForR2' created with bounds [1.74,2.25] [#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'fit_nll_model_data_R2' created with bounds [2.08,2.25] [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables [#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- The following expressions will be evaluated in cache-and-track mode: (background) [#1] INFO:Minization -- The following expressions will be evaluated in cache-and-track mode: (background) ********** ** 1 **SET PRINT 1 ********** ********** ** 2 **SET NOGRAD ********** PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 background_norm 7.87150e+05 1.57430e+04 7.08435e+05 8.65865e+05 2 p0 1.00000e+03 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM2 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 3 p1 -1.00000e+03 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM3 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 4 p2 -1.00000e+03 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM4 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 5 p3 -1.00000e+03 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM5 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 6 p4 -1.00000e+03 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM6 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 7 p5 2.00000e+04 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM7 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 8 p6 1.00000e+05 2.00000e+06 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM8 TOO FAR APART. ********** ** 3 **SET ERR 0.5 ********** ********** ** 4 **SET PRINT 1 ********** ********** ** 5 **SET STR 1 ********** NOW USING STRATEGY 1: TRY TO BALANCE SPEED AGAINST RELIABILITY ********** ** 6 **MIGRAD 4000 1 ********** FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4. START MIGRAD MINIMIZATION. STRATEGY 1. CONVERGENCE WHEN EDM .LT. 1.00e-03 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-2.00098e+06, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -630538/181321), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -480573/181321), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -323461/181321), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -158989/181321), !coefficients=(background_norm = 787150) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-630537.956360), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -2.00098e+06,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-480572.705818), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -2.00098e+06,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-323461.082292), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -2.00098e+06,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-158988.727900), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -2.00098e+06,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -2.00098e+06,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -3.41702e+06) [#0] ERROR:InputArguments -- model: calculated negative expected events: -1.38727e+06 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-2.00098e+06, p3=-1000, p4=-1000, p5=20000, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -5.16758e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -5.13136e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -5.08971e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.04241e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -4.98926e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -4.93005e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -4.86456e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -4.79257e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -4.71385e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -4.62816e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -4.53528e+06/-823684), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -4.43496e+06/-823684), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-5167579.373416), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-5131363.473785), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-5089707.183934), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-5042408.145864), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-4989259.160851), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-4930048.107963), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -2.00098e+06,p3 = -1000,p4 = -1000,p5 = 20000,p6 = 100000) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -406713) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-2.00098e+06, p4=-1000, p5=20000, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -1.30847e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -1.32935e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -1.35021e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -1.37105e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -1.39184e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -1.41258e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -1.43324e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1.45383e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1.47431e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1.49468e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1.51491e+07/-2.66906e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.535e+07/-2.66906e+06), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-13084716.646179), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-13293501.271565), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-13502131.553334), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-13710477.612751), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-13918405.210356), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-14125775.664477), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-19093455.897227), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-19193997.533052), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-19286991.404884), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-19372107.981937), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-19449010.062034), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-19517352.656389), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -2.00098e+06,p4 = -1000,p5 = 20000,p6 = 100000) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.90935e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.9194e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.9287e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.93721e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.9449e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.95174e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.95768e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.96269e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -1.96675e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -1.96979e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -1.9718e+07/-3.3229e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.97273e+07/-3.3229e+06), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-2.00098e+06, p5=20000, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -2.69001e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -2.76181e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -2.83501e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -2.90963e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -2.98569e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -3.06321e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -3.1422e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -3.22267e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -3.30465e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -3.38814e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -3.47316e+07/-6.06018e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -3.55973e+07/-6.06018e+06), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-26900121.187149), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-27618053.106671), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-28350060.565324), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-29096300.916475), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-29856930.908723), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-30632106.628418), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-60102494.111524), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-61380724.951909), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-62677654.511662), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-63993381.658666), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-65328002.161374), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f value is less than zero (-66681608.597576), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -2.00098e+06,p5 = 20000,p6 = 100000) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -6.01025e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -6.13807e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -6.26777e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -6.39934e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -6.5328e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -6.66816e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -6.80543e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -6.94461e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -7.08572e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -7.22876e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -7.37374e+07/-1.20853e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -7.52067e+07/-1.20853e+07), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=-1.9804e+06, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -5.102e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -5.277e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -5.45695e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.64194e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -5.83209e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -6.02752e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -6.22833e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -6.43464e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -6.64658e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -6.86426e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -7.0878e+07/-1.22996e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -7.31733e+07/-1.22996e+07), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-51019986.153473), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-52770043.627094), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-54569487.408998), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-56419411.863696), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-58320928.949373), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-60275168.391330), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-145641210.005172), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-149797805.708964), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-154051927.293712), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-158405367.556707), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-162859943.053923), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f value is less than zero (-167417494.288697), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -1.9804e+06,p6 = 100000) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.45641e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.49798e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.54052e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.58405e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.6286e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.67417e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.7208e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.76849e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -1.81727e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -1.86715e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -1.91816e+08/-3.11201e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.97031e+08/-3.11201e+07), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=-181348, p6=100000 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -225422/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -203748/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -180258/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -154869/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -127497/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -98053/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -66447/10182.5), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -32585.6/10182.5), !coefficients=(background_norm = 787150) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-225422.275335), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-203748.034299), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-180257.917522), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-154869.295075), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-127496.954413), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-98053.044549), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-66447.019467), forcing value to zero @ x=x=1.805, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) p.d.f value is less than zero (-32585.580758), forcing value to zero @ x=x=1.815, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = -181348,p6 = 100000) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -3.3851e+06) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-1.90202e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -9.3177e+07/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -9.69825e+07/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -1.0092e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -1.04995e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -1.09209e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -1.13568e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -1.18074e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1.22734e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1.2755e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1.32527e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1.37669e+08/-2.3801e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.42982e+08/-2.3801e+07), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-93177007.812595), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-96982484.671588), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-100920415.100310), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-104994618.968951), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-109209003.776120), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-113567566.147953), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-324232150.385009), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-335282746.743298), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-346654617.616726), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-358355509.425086), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-370393317.297735), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f value is less than zero (-382776087.204522), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -1.90202e+06) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -3.24232e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -3.35283e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -3.46655e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -3.58356e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -3.70393e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -3.82776e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -3.95512e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -4.08609e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -4.22077e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -4.35923e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -4.50157e+08/-7.25295e+07), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -4.64787e+08/-7.25295e+07), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-101365 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -4.46148e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -4.6464e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -4.83785e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.03603e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -5.24113e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -5.45335e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -5.6729e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -5.89999e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -6.13483e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -6.37764e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -6.62865e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -6.88808e+06/-1.14563e+06), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-4461478.212916), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-4646395.575823), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-4837847.868304), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5036026.498155), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5241127.333064), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5453350.778107), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-15789770.378098), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-16334792.041156), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-16895865.014066), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-17473381.390646), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-18067740.890518), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-18679350.969811), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.57898e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.63348e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.68959e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.74734e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.80677e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.86794e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.93086e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.9956e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.06219e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.13067e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -2.2011e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -2.27351e+07/-3.54459e+06), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-202037 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -9.42143e+06/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -9.80877e+06/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -1.02097e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -1.06246e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -1.10538e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -1.14979e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -1.19571e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1.2432e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1.2923e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1.34305e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1.39549e+07/-2.41226e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.44969e+07/-2.41226e+06), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-9421434.613036), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-9808772.198487), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-10209684.641785), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-10624566.212788), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-11053820.291080), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-11497859.522939), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-33034335.830020), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-34166708.914883), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-35332197.895667), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-36531606.035873), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-37765752.112595), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f value is less than zero (-39035470.640169), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -202037) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -3.30343e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -3.41667e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -3.53322e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -3.65316e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -3.77658e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -3.90355e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -4.03416e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -4.1685e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -4.30666e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -4.44873e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -4.5948e+07/-7.40144e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -4.74496e+07/-7.40144e+06), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-101365 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -4.46148e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -4.6464e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -4.83785e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.03603e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -5.24113e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -5.45335e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -5.6729e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -5.89999e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -6.13483e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -6.37764e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -6.62865e+06/-1.14563e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -6.88808e+06/-1.14563e+06), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-4461478.212916), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-4646395.575823), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-4837847.868304), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5036026.498155), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5241127.333064), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-5453350.778107), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-15789770.378098), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-16334792.041156), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-16895865.014066), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-17473381.390646), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-18067740.890518), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f value is less than zero (-18679350.969811), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -101365) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.57898e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.63348e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.68959e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.74734e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.80677e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.86794e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.93086e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.9956e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.06219e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.13067e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -2.2011e+07/-3.54459e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -2.27351e+07/-3.54459e+06), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-51024.5 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -1.98128e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -2.06498e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -2.15169e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -2.24151e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -2.33452e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -2.43083e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -2.53052e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -2.6337e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -2.74046e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -2.85092e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -2.96517e+06/-512259), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -3.08333e+06/-512259), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-1981278.736407), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-2064976.957554), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-2151689.830068), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-2241507.321666), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-2334521.534830), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-2430826.744565), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-7166718.327590), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-7418038.076483), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-7676876.080899), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-7943418.831470), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-8217856.500388), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f value is less than zero (-8500382.995625), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -51024.5) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -7.16672e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -7.41804e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -7.67688e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -7.94342e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -8.21786e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -8.50038e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -8.7912e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -9.0905e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -9.39849e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -9.71539e+06/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -1.00414e+07/-1.616e+06), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.03768e+07/-1.616e+06), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-25853.7 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -741151/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -774239/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -808581/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -844216/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -881186/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -919531/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -959293/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1.00052e+06/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1.04324e+06/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1.08752e+06/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1.1334e+06/-195567), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.18091e+06/-195567), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-741151.178201), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-774238.693111), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-808580.680799), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-844216.387802), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-881186.032839), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-919530.824685), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-2855095.579112), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-2959561.076522), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-3067278.206576), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-3178330.656007), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-3292803.820942), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f value is less than zero (-3410784.832880), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -25853.7) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -2.8551e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -2.95956e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -3.06728e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -3.17833e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -3.2928e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -3.41078e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -3.53236e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -3.65763e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -3.78667e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -3.91959e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -4.05648e+06/-651679), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -4.19744e+06/-651679), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-13268.1 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -121084/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -128866/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -137022/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -145567/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -154514/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -163879/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -173675/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -183920/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -194628/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -205816/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -217502/-37220.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -229701/-37220.1), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-121083.881633), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-128865.899874), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-137022.296606), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-145566.957632), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-154514.159641), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-163878.578146), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-699271.975501), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-730309.930635), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-762466.194873), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-795773.052705), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-830263.511930), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f value is less than zero (-865971.315506), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -13268.1) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -699272/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -730310/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -762466/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -795773/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -830264/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -865971/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -902931/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -941178/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -980748/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -1.02168e+06/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -1.064e+06/-169517), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.10777e+06/-169517), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] ERROR:InputArguments -- model: calculated negative expected events: -44505.5 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-1000, p4=-1000, p5=20000, p6=-10063.1 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.895), !pdfs=(background = -2747.99/3104.47), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.905), !pdfs=(background = -7237.52/3104.47), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.915), !pdfs=(background = -12016.8/3104.47), !coefficients=(background_norm = 787150) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-2747.987633), forcing value to zero @ x=x=1.895, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-7237.518923), forcing value to zero @ x=x=1.905, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-12016.780888), forcing value to zero @ x=x=1.915, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-150270.717214), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-162609.641020), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-175523.602528), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-189031.796155), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-203153.888505), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f value is less than zero (-217910.026630), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -1000,p4 = -1000,p5 = 20000,p6 = -10063.1) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -150271/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -162610/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -175524/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -189032/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -203154/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -217910/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -233321/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -249407/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -266192/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -283695/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -301941/-46729.4), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -320953/-46729.4), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-51047.4, p4=-1000, p5=20000, p6=-6975.38 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -275098/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -280956/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -286934/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -293034/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -299260/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -305616/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -312105/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -318731/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -325498/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -332411/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -339472/-59567.2), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -346687/-59567.2), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-275097.905308), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-280956.150223), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-286933.703444), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-293033.884389), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-299260.124726), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-305615.971341), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-567172.159390), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-579772.352409), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-592687.783224), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-605927.557558), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-619501.023404), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-633417.775823), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -51047.4,p4 = -1000,p5 = 20000,p6 = -6975.38) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -567172/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -579772/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -592688/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -605928/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -619501/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -633418/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -647688/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -662321/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -677328/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -692718/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -708505/-115934), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -724697/-115934), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-34365, p4=-1000, p5=20000, p6=-6975.38 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -120416/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -122698/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -125037/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -127437/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -129900/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -132429/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -135026/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -137695/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -140440/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -143262/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -146167/-25727.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -149156/-25727.1), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-120415.941392), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-122697.872372), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-125037.452756), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-127437.297298), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-129900.128998), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-132428.782071), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-251902.491326), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-258410.692862), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-265146.268612), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-272117.483508), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-279332.840747), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-286801.086590), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -34365,p4 = -1000,p5 = 20000,p6 = -6975.38) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -251902/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -258411/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -265146/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -272117/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -279333/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -286801/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -294531/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -302532/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -310814/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -319387/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -328259/-53434.9), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -337443/-53434.9), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-26023.8, p4=-1000, p5=20000, p6=-6975.38 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -43074.6/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -43568.4/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -44089/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -44638.6/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -45219.7/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -45834.8/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -46486.4/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -47177.1/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -47910/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -48687.8/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -49513.7/-8807), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -50390.9/-8807), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-43074.599981), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-43568.365683), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-44088.951194), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-44638.618935), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-45219.737572), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-45834.784981), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-94266.924665), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-97729.116302), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-101374.750159), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-105211.670769), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-109247.958929), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-113491.936499), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -26023.8,p4 = -1000,p5 = 20000,p6 = -6975.38) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -94266.9/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -97729.1/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -101375/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -105212/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -109248/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -113492/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -117952/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -122637/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -127557/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -132720/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -138136/-22185), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -143815/-22185), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-21853.1, p4=-1000, p5=20000, p6=-6975.38 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -4403.86/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -4003.54/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -3614.63/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -3239.21/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -2879.47/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -2537.71/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -2216.35/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1917.9/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1645.02/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1400.46/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1187.11/-346.932), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1007.99/-346.932), !coefficients=(background_norm = 787150) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-4403.862955), forcing value to zero @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-4003.544485), forcing value to zero @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-3614.631000), forcing value to zero @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-3239.208754), forcing value to zero @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-2879.469245), forcing value to zero @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-2537.712181), forcing value to zero @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-15449.006161), forcing value to zero @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-17388.190237), forcing value to zero @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-19488.850498), forcing value to zero @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-21758.621277), forcing value to zero @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-24205.372171), forcing value to zero @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-26837.212840), forcing value to zero @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -21853.1,p4 = -1000,p5 = 20000,p6 = -6975.38) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -15449/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -17388.2/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -19488.9/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -21758.6/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -24205.4/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -26837.2/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -29662.5/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -32689.8/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -35928.1/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -39386.3/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -43074/-6560.1), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -47000.8/-6560.1), !coefficients=(background_norm = 787150) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787150, p0=1000, p1=-1000, p2=-1000, p3=-19767.8, p4=-1000, p5=20000, p6=-6975.38 RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-1881.220708), forcing value to zero @ x=x=2.205, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-5415.819226), forcing value to zero @ x=x=2.215, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-9207.841915), forcing value to zero @ x=x=2.225, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-13267.965299), forcing value to zero @ x=x=2.235, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) p.d.f value is less than zero (-17607.162290), forcing value to zero @ x=x=2.245, coefList=(p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787150,p0 = 1000,p1 = -1000,p2 = -1000,p3 = -19767.8,p4 = -1000,p5 = 20000,p6 = -6975.38) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.205), !pdfs=(background = -1881.22/1252.37), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.215), !pdfs=(background = -5415.82/1252.37), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.225), !pdfs=(background = -9207.84/1252.37), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.235), !pdfs=(background = -13268/1252.37), !coefficients=(background_norm = 787150) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.245), !pdfs=(background = -17607.2/1252.37), !coefficients=(background_norm = 787150) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -3.61211e+06,nll_model_data_R2 = -nan) FCN=-7.12172e+06 FROM MIGRAD STATUS=INITIATE 136 CALLS 137 TOTAL EDM= unknown STRATEGY= 1 NO ERROR MATRIX EXT PARAMETER CURRENT GUESS STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 background_norm 7.87150e+05 1.57430e+04 0.00000e+00 -3.74834e+03 2 p0 1.00000e+03 2.00000e+06 0.00000e+00 -6.61174e+06 3 p1 -1.00000e+03 2.00000e+06 0.00000e+00 -1.10819e+07 4 p2 -1.00000e+03 2.00000e+06 0.00000e+00 -1.88217e+07 5 p3 -1.76825e+04 2.00000e+06 -1.66825e-03 -3.27702e+07 6 p4 -1.00000e+03 2.00000e+06 0.00000e+00 -5.93304e+07 7 p5 2.00000e+04 2.00000e+06 0.00000e+00 -1.13251e+08 8 p6 -6.97538e+03 2.00000e+06 0.00000e+00 -2.29795e+08 ERR DEF= 0.5 MINUIT WARNING IN MIGRAD ============== Negative diagonal element 2 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 3 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 4 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 5 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 6 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 7 in Error Matrix MINUIT WARNING IN MIGRAD ============== Negative diagonal element 8 in Error Matrix MINUIT WARNING IN MIGRAD ============== 1.00118 added to diagonal of error matrix [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=799764, p0=1.19873e+06, p1=-9.81661e+06, p2=1.57986e+06, p3=-9.99086e+06, p4=-3.0753e+06, p5=-9.63449e+06, p6=8.78417e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -1.03896e+06/9.09759e+06), !coefficients=(background_norm = 799764) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-1038956.277107), forcing value to zero @ x=x=1.745, coefList=(p0 = 1.19873e+06,p1 = -9.81661e+06,p2 = 1.57986e+06,p3 = -9.99086e+06,p4 = -3.0753e+06,p5 = -9.63449e+06,p6 = 8.78417e+06) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 799764,p0 = 1.19873e+06,p1 = -9.81661e+06,p2 = 1.57986e+06,p3 = -9.99086e+06,p4 = -3.0753e+06,p5 = -9.63449e+06,p6 = 8.78417e+06) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -3.41375e+06) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=865767, p0=9.97939e+06, p1=6.0987e+06, p2=-818918, p3=6.97924e+06, p4=9.90601e+06, p5=-6.39955e+06, p6=-4.13218e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -1.27646e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -1.35877e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -1.44446e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -1.53363e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -1.6264e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -1.72285e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -1.82312e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -1.92731e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -2.03554e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -2.14792e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -2.26458e+08/-3.86691e+07), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -2.38565e+08/-3.86691e+07), !coefficients=(background_norm = 865767) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-127645854.847514), forcing value to zero @ x=x=1.745, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-135877071.802540), forcing value to zero @ x=x=1.755, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-144446136.082761), forcing value to zero @ x=x=1.765, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-153363430.110839), forcing value to zero @ x=x=1.775, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-162639576.280304), forcing value to zero @ x=x=1.785, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-172285440.914604), forcing value to zero @ x=x=1.795, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 865767,p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-671455549.384271), forcing value to zero @ x=x=2.085, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-698629553.335310), forcing value to zero @ x=x=2.095, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-726654707.573798), forcing value to zero @ x=x=2.105, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-755552032.995742), forcing value to zero @ x=x=2.115, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-785342949.644973), forcing value to zero @ x=x=2.125, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f value is less than zero (-816049282.202553), forcing value to zero @ x=x=2.135, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 865767,p0 = 9.97939e+06,p1 = 6.0987e+06,p2 = -818918,p3 = 6.97924e+06,p4 = 9.90601e+06,p5 = -6.39955e+06,p6 = -4.13218e+06) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -6.71456e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -6.9863e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -7.26655e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -7.55552e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -7.85343e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -8.16049e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -8.47693e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -8.80298e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -9.13885e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -9.4848e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -9.84105e+08/-1.57425e+08), !coefficients=(background_norm = 865767) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.02079e+09/-1.57425e+08), !coefficients=(background_norm = 865767) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=819693, p0=5.60756e+06, p1=7.82419e+06, p2=-7.25099e+06, p3=-5.50597e+06, p4=9.18133e+06, p5=9.76335e+06, p6=-7.04265e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = 2.12613e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = 1.95048e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = 1.76065e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = 1.55601e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = 1.33589e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = 1.09963e+07/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = 8.46517e+06/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = 5.75839e+06/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = 2.86855e+06/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -211995/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -3.49108e+06/-231562), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -6.97677e+06/-231562), !coefficients=(background_norm = 819693) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.805, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.815, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.825, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-211994.674255), forcing value to zero @ x=x=1.835, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=1.835, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-3491075.927539), forcing value to zero @ x=x=1.845, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) ... (remaining 17 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 819693,p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-166550828.759797), forcing value to zero @ x=x=2.085, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-178097289.894206), forcing value to zero @ x=x=2.095, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-190140984.246453), forcing value to zero @ x=x=2.105, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-202697716.918885), forcing value to zero @ x=x=2.115, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-215783667.200009), forcing value to zero @ x=x=2.125, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f value is less than zero (-229415394.872506), forcing value to zero @ x=x=2.135, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 819693,p0 = 5.60756e+06,p1 = 7.82419e+06,p2 = -7.25099e+06,p3 = -5.50597e+06,p4 = 9.18133e+06,p5 = 9.76335e+06,p6 = -7.04265e+06) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.66551e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.78097e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.90141e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -2.02698e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -2.15784e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -2.29415e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.4361e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -2.58384e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.73757e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.89745e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -3.06368e+08/-4.78025e+07), !coefficients=(background_norm = 819693) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -3.23644e+08/-4.78025e+07), !coefficients=(background_norm = 819693) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=806148, p0=-4.09528e+06, p1=9.14845e+06, p2=9.17818e+06, p3=-9.60205e+06, p4=8.2491e+06, p5=5.90567e+06, p6=-9.60942e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -1.92782e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -2.03355e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -2.14367e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -2.25831e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -2.37764e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -2.50179e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -2.63093e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -2.7652e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -2.90478e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -3.04982e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -3.20051e+08/-5.49321e+07), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -3.357e+08/-5.49321e+07), !coefficients=(background_norm = 806148) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-192781741.580605), forcing value to zero @ x=x=1.745, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-203354818.978466), forcing value to zero @ x=x=1.755, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-214366610.419021), forcing value to zero @ x=x=1.765, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-225831433.305802), forcing value to zero @ x=x=1.775, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-237763967.481764), forcing value to zero @ x=x=1.785, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-250179261.964325), forcing value to zero @ x=x=1.795, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 806148,p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-902855353.518007), forcing value to zero @ x=x=2.085, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-938881342.369984), forcing value to zero @ x=x=2.095, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-976080392.327492), forcing value to zero @ x=x=2.105, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-1014483433.530169), forcing value to zero @ x=x=2.115, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-1054122036.288160), forcing value to zero @ x=x=2.125, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f value is less than zero (-1095028420.867138), forcing value to zero @ x=x=2.135, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 806148,p0 = -4.09528e+06,p1 = 9.14845e+06,p2 = 9.17818e+06,p3 = -9.60205e+06,p4 = 8.2491e+06,p5 = 5.90567e+06,p6 = -9.60942e+06) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -9.02855e+08/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -9.38881e+08/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -9.7608e+08/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.01448e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.05412e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.09503e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.13724e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.18078e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -1.22569e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -1.272e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -1.31975e+09/-2.11245e+08), !coefficients=(background_norm = 806148) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -1.36898e+09/-2.11245e+08), !coefficients=(background_norm = 806148) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=799110, p0=-9.44326e+06, p1=-5.73818e+06, p2=-8.3722e+06, p3=6.07052e+06, p4=-4.49263e+06, p5=-2.67924e+06, p6=-6.85636e+06 RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -5.08288e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -5.26583e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -5.45469e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.64963e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -5.85082e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -6.05842e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -6.27261e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -6.49357e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -6.72147e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -6.95649e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -7.19884e+08/-1.24844e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -7.44869e+08/-1.24844e+08), !coefficients=(background_norm = 799110) ... (remaining 8 messages suppressed) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-508288280.561877), forcing value to zero @ x=x=1.745, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-526582721.754247), forcing value to zero @ x=x=1.755, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-545468971.725389), forcing value to zero @ x=x=1.765, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-564963228.180084), forcing value to zero @ x=x=1.775, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-585082043.609140), forcing value to zero @ x=x=1.785, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-605842331.097847), forcing value to zero @ x=x=1.795, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) ... (remaining 26 messages suppressed) RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 799110,p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-1577387811.683791), forcing value to zero @ x=x=2.085, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-1627301145.182435), forcing value to zero @ x=x=2.095, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-1678593832.364770), forcing value to zero @ x=x=2.105, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-1731297786.814011), forcing value to zero @ x=x=2.115, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-1785445511.946980), forcing value to zero @ x=x=2.125, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f value is less than zero (-1841070109.167476), forcing value to zero @ x=x=2.135, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 799110,p0 = -9.44326e+06,p1 = -5.73818e+06,p2 = -8.3722e+06,p3 = 6.07052e+06,p4 = -4.49263e+06,p5 = -2.67924e+06,p6 = -6.85636e+06) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.57739e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.6273e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.67859e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.7313e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.78545e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.84107e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -1.89821e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -1.95689e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.01715e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.07902e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -2.14255e+09/-3.46226e+08), !coefficients=(background_norm = 799110) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -2.20776e+09/-3.46226e+08), !coefficients=(background_norm = 799110) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -nan,nll_model_data_R2 = -nan) MIGRAD FAILS TO FIND IMPROVEMENT COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=-7.13067e+06 FROM HESSE STATUS=OK 61 CALLS 652 TOTAL EDM=24.7557 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 background_norm 7.91972e+05 1.09153e+03 2.53345e-02 -1.14534e+01 2 p0 2.46474e+06 1.11161e+05 8.55621e-03 -1.40737e+03 3 p1 6.88759e+05 4.08592e+04 2.18110e-03 -5.27085e+03 4 p2 1.04935e+05 1.59981e+04 7.30256e-04 -1.57489e+04 5 p3 -2.89233e+04 6.61749e+03 2.72968e-04 -4.28092e+04 6 p4 -1.92880e+04 2.83611e+03 1.08220e-04 -1.10339e+05 7 p5 9.31344e+03 1.23898e+03 4.44859e-05 -2.74800e+05 8 p6 -1.20645e+04 5.44238e+02 1.87310e-05 -6.68286e+05 ERR DEF= 0.5 MIGRAD FAILS TO FIND IMPROVEMENT MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT. MIGRAD MINIMIZATION HAS CONVERGED. MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX. COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=-7.13073e+06 FROM MIGRAD STATUS=CONVERGED 835 CALLS 836 TOTAL EDM=0.000821887 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 background_norm 7.87003e+05 1.09088e+03 2.51302e-02 8.09573e-01 2 p0 4.56070e+06 1.47682e+05 1.35657e-02 -1.00614e+00 3 p1 3.53276e+05 4.81371e+04 2.79614e-03 -1.06046e+00 4 p2 -1.46316e+05 1.87088e+04 9.06112e-04 -7.56553e+00 5 p3 -1.20961e+05 7.79072e+03 3.33492e-04 -3.16818e+01 6 p4 -3.63253e+04 3.33795e+03 1.31074e-04 -8.67875e+01 7 p5 1.69265e+04 1.43812e+03 5.35946e-05 -1.56122e+02 8 p6 -3.95090e+02 6.12454e+02 2.24874e-05 -5.10366e+01 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 8 ERR DEF=0.5 1.190e+06 4.903e+06 4.133e+06 1.579e+06 4.242e+05 1.907e+04 -8.256e+04 -8.268e+04 4.903e+06 2.181e+10 -4.780e+08 -2.155e+08 -9.554e+07 -4.140e+07 -1.745e+07 -7.102e+06 4.133e+06 -4.780e+08 2.317e+09 -1.167e+08 -5.110e+07 -2.162e+07 -8.822e+06 -3.445e+06 1.579e+06 -2.155e+08 -1.167e+08 3.500e+08 -2.439e+07 -1.063e+07 -4.518e+06 -1.867e+06 4.242e+05 -9.554e+07 -5.110e+07 -2.439e+07 6.070e+07 -5.153e+06 -2.312e+06 -1.022e+06 1.907e+04 -4.140e+07 -2.162e+07 -1.063e+07 -5.153e+06 1.114e+07 -1.174e+06 -5.533e+05 -8.256e+04 -1.745e+07 -8.822e+06 -4.518e+06 -2.312e+06 -1.174e+06 2.068e+06 -2.946e+05 -8.268e+04 -7.102e+06 -3.445e+06 -1.867e+06 -1.022e+06 -5.533e+05 -2.946e+05 3.751e+05 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 4 5 6 7 8 1 0.18171 1.000 0.030 0.079 0.077 0.050 0.005 -0.053 -0.124 2 0.89632 0.030 1.000 -0.067 -0.078 -0.083 -0.084 -0.082 -0.079 3 0.94913 0.079 -0.067 1.000 -0.130 -0.136 -0.135 -0.127 -0.117 4 0.96488 0.077 -0.078 -0.130 1.000 -0.167 -0.170 -0.168 -0.163 5 0.97267 0.050 -0.083 -0.136 -0.167 1.000 -0.198 -0.206 -0.214 6 0.97705 0.005 -0.084 -0.135 -0.170 -0.198 1.000 -0.245 -0.271 7 0.97935 -0.053 -0.082 -0.127 -0.168 -0.206 -0.245 1.000 -0.335 8 0.97996 -0.124 -0.079 -0.117 -0.163 -0.214 -0.271 -0.335 1.000 ********** ** 7 **SET PRINT 1 ********** ********** ** 8 **SET NOGRAD ********** PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 background_norm 7.87003e+05 1.09088e+03 7.08435e+05 8.65865e+05 2 p0 4.56070e+06 1.47682e+05 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM2 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 3 p1 3.53276e+05 4.81371e+04 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM3 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 4 p2 -1.46316e+05 1.87088e+04 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM4 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 5 p3 -1.20961e+05 7.79072e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM5 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 6 p4 -3.63253e+04 3.33795e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM6 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 7 p5 1.69265e+04 1.43812e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM7 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 8 p6 -3.95090e+02 6.12454e+02 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM8 TOO FAR APART. ********** ** 9 **SET ERR 0.5 ********** ********** ** 10 **SET PRINT 1 ********** ********** ** 11 **HESSE 4000 ********** FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4. [#0] ERROR:InputArguments -- model: calculated negative expected events: -305129 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (-6.95437e+06) to force MIGRAD to back out of this region. Error log follows Parameter values: background_norm=787003, p0=809035, p1=353276, p2=-146316, p3=-120961, p4=-36325.3, p5=16926.5, p6=-395.09 RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ] p.d.f value is less than zero (-497960.846553), forcing value to zero @ x=x=2.085, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f value is less than zero (-534909.322374), forcing value to zero @ x=x=2.095, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f value is less than zero (-572364.931636), forcing value to zero @ x=x=2.105, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f value is less than zero (-610327.062974), forcing value to zero @ x=x=2.115, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f value is less than zero (-648794.986757), forcing value to zero @ x=x=2.125, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f value is less than zero (-687767.853400), forcing value to zero @ x=x=2.135, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) ... (remaining 24 messages suppressed) RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ] function value is NAN @ paramSet=(background_norm = 787003 +/- 1090.88,p0 = 809035 +/- 147682,p1 = 353276 +/- 48137.1,p2 = -146316 +/- 18708.8,p3 = -120961 +/- 7790.72,p4 = -36325.3 +/- 3337.95,p5 = 16926.5 +/- 1438.12,p6 = -395.09 +/- 612.454) RooAddPdf::model[ background_norm * background ] getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -497961/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -534909/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -572365/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -610327/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -648795/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -687768/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -727245/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -767224/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -807706/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -848687/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -890168/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -932146/-138333), !coefficients=(background_norm = 787003 +/- 1090.88) ... (remaining 7 messages suppressed) RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ] function value is NAN @ !set=(nll_model_data_R1 = -426538,nll_model_data_R2 = -nan) COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=-7.13073e+06 FROM HESSE STATUS=OK 97 CALLS 98 TOTAL EDM=0.000196582 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER INTERNAL INTERNAL NO. NAME VALUE ERROR STEP SIZE VALUE 1 background_norm 7.87003e+05 1.07489e+03 1.38590e-03 -1.86454e-03 2 p0 4.56070e+06 8.31226e+03 3.92582e-01 4.73574e-01 3 p1 3.53276e+05 1.12354e+04 7.97804e-02 3.53349e-02 4 p2 -1.46316e+05 5.03198e+03 1.90850e-02 -1.46321e-02 5 p3 -1.20961e+05 1.95052e+03 7.94712e-03 -1.20964e-02 6 p4 -3.63253e+04 7.92033e+02 3.40473e-03 -3.63254e-03 7 p5 1.69265e+04 3.31432e+02 1.46688e-03 1.69265e-03 8 p6 -3.95090e+02 1.41846e+02 6.24703e-04 -3.95090e-05 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 8 ERR DEF=0.5 1.155e+06 -1.891e+04 -3.525e+03 2.862e+04 -6.936e+02 -8.515e+03 -7.984e+03 -5.675e+03 -1.891e+04 6.909e+07 7.931e+04 -1.719e+05 -2.818e+04 6.204e+03 9.063e+03 5.491e+03 -3.525e+03 7.931e+04 1.262e+08 -2.828e+06 -1.066e+06 -3.967e+05 -1.529e+05 -6.542e+04 2.862e+04 -1.719e+05 -2.828e+06 2.532e+07 -1.218e+06 -5.062e+05 -2.179e+05 -9.900e+04 -6.936e+02 -2.818e+04 -1.066e+06 -1.218e+06 3.805e+06 -2.376e+05 -1.073e+05 -5.013e+04 -8.515e+03 6.204e+03 -3.967e+05 -5.062e+05 -2.376e+05 6.273e+05 -5.087e+04 -2.418e+04 -7.984e+03 9.063e+03 -1.529e+05 -2.179e+05 -1.073e+05 -5.087e+04 1.098e+05 -1.158e+04 -5.675e+03 5.491e+03 -6.542e+04 -9.900e+04 -5.013e+04 -2.418e+04 -1.158e+04 2.012e+04 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 4 5 6 7 8 1 0.06508 1.000 -0.002 -0.000 0.005 -0.000 -0.010 -0.022 -0.037 2 0.00794 -0.002 1.000 0.001 -0.004 -0.002 0.001 0.003 0.005 3 0.17696 -0.000 0.001 1.000 -0.050 -0.049 -0.045 -0.041 -0.041 4 0.41653 0.005 -0.004 -0.050 1.000 -0.124 -0.127 -0.131 -0.139 5 0.47568 -0.000 -0.002 -0.049 -0.124 1.000 -0.154 -0.166 -0.181 6 0.50917 -0.010 0.001 -0.045 -0.127 -0.154 1.000 -0.194 -0.215 7 0.53096 -0.022 0.003 -0.041 -0.131 -0.166 -0.194 1.000 -0.246 8 0.54852 -0.037 0.005 -0.041 -0.139 -0.181 -0.215 -0.246 1.000 [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization [#1] INFO:Minization -- p.d.f. provides expected number of events, including extended term in likelihood. [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R1) constructing test statistic for sub-range named R1 [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R1) fixing interpretation of coefficients of any RooAddPdf to full domain of observables [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R2) constructing test statistic for sub-range named R2 [#1] INFO:Fitting -- RooAbsOptTestStatistic::ctor(nll_model_data_R2) fixing interpretation of coefficients of any RooAddPdf to full domain of observables [#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_data) Summation contains a RooNLLVar, using its error level [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- The following expressions will be evaluated in cache-and-track mode: (background) [#1] INFO:Minization -- The following expressions will be evaluated in cache-and-track mode: (background) ********** ** 12 **SET PRINT 1 ********** ********** ** 13 **SET NOGRAD ********** PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 background_norm 7.87003e+05 1.07489e+03 7.08435e+05 8.65865e+05 2 p0 4.56070e+06 8.31226e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM2 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 3 p1 3.53276e+05 1.12354e+04 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM3 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 4 p2 -1.46316e+05 5.03198e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM4 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 5 p3 -1.20961e+05 1.95052e+03 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM5 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 6 p4 -3.63253e+04 7.92033e+02 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM6 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 7 p5 1.69265e+04 3.31432e+02 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM7 TOO FAR APART. PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 8 p6 -3.95090e+02 1.41846e+02 -1.00000e+07 1.00000e+07 MINUIT WARNING IN PARAM DEF ============== LIMITS ON PARAM8 TOO FAR APART. ********** ** 14 **SET ERR 0.5 ********** ********** ** 15 **SET PRINT 1 ********** ********** ** 16 **SET STR 1 ********** NOW USING STRATEGY 1: TRY TO BALANCE SPEED AGAINST RELIABILITY ********** ** 17 **MIGRAD 4000 1 ********** FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4. START MIGRAD MINIMIZATION. STRATEGY 1. CONVERGENCE WHEN EDM .LT. 1.00e-03 FCN=-7.13073e+06 FROM MIGRAD STATUS=INITIATE 32 CALLS 131 TOTAL EDM= unknown STRATEGY= 1 NO ERROR MATRIX EXT PARAMETER CURRENT GUESS STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 background_norm 7.87003e+05 1.07489e+03 1.36559e-02 6.99502e-01 2 p0 4.56070e+06 8.31226e+03 9.34021e-04 -5.36312e+00 3 p1 3.53276e+05 1.12354e+04 1.12425e-03 -2.00448e+01 4 p2 -1.46316e+05 5.03198e+03 5.03252e-04 -4.60195e+01 5 p3 -1.20961e+05 1.95052e+03 1.95067e-04 -1.10618e+02 6 p4 -3.63253e+04 7.92033e+02 7.92038e-05 -2.50260e+02 7 p5 1.69265e+04 3.31432e+02 3.31433e-05 -4.97423e+02 8 p6 -3.95090e+02 1.41846e+02 1.41846e-05 -7.69099e+02 ERR DEF= 0.5 MIGRAD FAILS TO FIND IMPROVEMENT MACHINE ACCURACY LIMITS FURTHER IMPROVEMENT. MIGRAD MINIMIZATION HAS CONVERGED. MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX. COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=-7.13073e+06 FROM MIGRAD STATUS=CONVERGED 140 CALLS 239 TOTAL EDM=0.000787386 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 background_norm 7.87003e+05 1.09087e+03 2.51301e-02 7.98870e-01 2 p0 4.56079e+06 1.47653e+05 1.35833e-02 -2.85730e-01 3 p1 3.53291e+05 4.81374e+04 2.79686e-03 2.44120e+00 4 p2 -1.46312e+05 1.87083e+04 9.06374e-04 3.24156e+00 5 p3 -1.20960e+05 7.79035e+03 3.33594e-04 -2.32922e+00 6 p4 -3.63249e+04 3.33775e+03 1.31115e-04 -1.21763e+01 7 p5 1.69266e+04 1.43803e+03 5.36117e-05 2.60648e+01 8 p6 -3.95051e+02 6.12415e+02 2.24947e-05 3.82218e+02 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 8 ERR DEF=0.5 1.190e+06 4.900e+06 4.133e+06 1.579e+06 4.242e+05 1.907e+04 -8.254e+04 -8.267e+04 4.900e+06 2.180e+10 -4.775e+08 -2.154e+08 -9.547e+07 -4.138e+07 -1.744e+07 -7.099e+06 4.133e+06 -4.775e+08 2.317e+09 -1.167e+08 -5.111e+07 -2.162e+07 -8.822e+06 -3.445e+06 1.579e+06 -2.154e+08 -1.167e+08 3.500e+08 -2.439e+07 -1.063e+07 -4.517e+06 -1.867e+06 4.242e+05 -9.547e+07 -5.111e+07 -2.439e+07 6.069e+07 -5.153e+06 -2.311e+06 -1.022e+06 1.907e+04 -4.138e+07 -2.162e+07 -1.063e+07 -5.153e+06 1.114e+07 -1.174e+06 -5.533e+05 -8.254e+04 -1.744e+07 -8.822e+06 -4.517e+06 -2.311e+06 -1.174e+06 2.068e+06 -2.946e+05 -8.267e+04 -7.099e+06 -3.445e+06 -1.867e+06 -1.022e+06 -5.533e+05 -2.946e+05 3.751e+05 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 4 5 6 7 8 1 0.18169 1.000 0.030 0.079 0.077 0.050 0.005 -0.053 -0.124 2 0.89622 0.030 1.000 -0.067 -0.078 -0.083 -0.084 -0.082 -0.079 3 0.94911 0.079 -0.067 1.000 -0.130 -0.136 -0.135 -0.127 -0.117 4 0.96487 0.077 -0.078 -0.130 1.000 -0.167 -0.170 -0.168 -0.163 5 0.97266 0.050 -0.083 -0.136 -0.167 1.000 -0.198 -0.206 -0.214 6 0.97704 0.005 -0.084 -0.135 -0.170 -0.198 1.000 -0.245 -0.271 7 0.97934 -0.053 -0.082 -0.127 -0.168 -0.206 -0.245 1.000 -0.335 8 0.97996 -0.124 -0.079 -0.117 -0.163 -0.214 -0.271 -0.335 1.000 ********** ** 18 **SET ERR 0.5 ********** ********** ** 19 **SET PRINT 1 ********** ********** ** 20 **HESSE 4000 ********** COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=-7.13073e+06 FROM HESSE STATUS=OK 65 CALLS 304 TOTAL EDM=0.0148268 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER INTERNAL INTERNAL NO. NAME VALUE ERROR STEP SIZE VALUE 1 background_norm 7.87003e+05 1.17736e+03 1.00520e-03 -1.86902e-03 2 p0 4.56079e+06 6.91647e+05 5.43331e-04 4.73584e-01 3 p1 3.53291e+05 2.16762e+05 1.11874e-04 3.53365e-02 4 p2 -1.46312e+05 8.50849e+04 3.62550e-05 -1.46317e-02 5 p3 -1.20960e+05 3.73213e+04 1.33438e-05 -1.20963e-02 6 p4 -3.63249e+04 1.65503e+04 5.24461e-06 -3.63250e-03 7 p5 1.69266e+04 6.90932e+03 2.14447e-06 1.69267e-03 8 p6 -3.95051e+02 2.42235e+03 8.99787e-07 -3.95051e-05 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 8 ERR DEF=0.5 1.386e+06 3.152e+07 2.699e+07 1.004e+07 2.550e+06 3.759e+04 -5.293e+05 -4.878e+05 3.152e+07 4.793e+11 -2.147e+10 -9.406e+09 -3.670e+09 -1.199e+09 -2.390e+08 7.164e+07 2.699e+07 -2.147e+10 4.699e+10 -6.111e+09 -2.160e+09 -5.933e+08 -5.582e+07 8.503e+07 1.004e+07 -9.406e+09 -6.111e+09 7.240e+09 -9.359e+08 -2.795e+08 -4.801e+07 1.823e+07 2.550e+06 -3.670e+09 -2.160e+09 -9.359e+08 1.393e+09 -1.303e+08 -3.929e+07 -7.725e+06 3.759e+04 -1.199e+09 -5.933e+08 -2.795e+08 -1.303e+08 2.739e+08 -2.769e+07 -1.269e+07 -5.293e+05 -2.390e+08 -5.582e+07 -4.801e+07 -3.929e+07 -2.769e+07 4.774e+07 -1.055e+07 -4.878e+05 7.164e+07 8.503e+07 1.823e+07 -7.725e+06 -1.269e+07 -1.055e+07 5.868e+06 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 4 5 6 7 8 1 0.41235 1.000 0.039 0.106 0.100 0.058 0.002 -0.065 -0.171 2 0.99550 0.039 1.000 -0.143 -0.160 -0.142 -0.105 -0.050 0.043 3 0.99755 0.106 -0.143 1.000 -0.331 -0.267 -0.165 -0.037 0.162 4 0.99833 0.100 -0.160 -0.331 1.000 -0.295 -0.198 -0.082 0.088 5 0.99882 0.058 -0.142 -0.267 -0.295 1.000 -0.211 -0.152 -0.085 6 0.99908 0.002 -0.105 -0.165 -0.198 -0.211 1.000 -0.242 -0.316 7 0.99911 -0.065 -0.050 -0.037 -0.082 -0.152 -0.242 1.000 -0.630 8 0.99873 -0.171 0.043 0.162 0.088 -0.085 -0.316 -0.630 1.000 [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization 4560789.26348 -2355681.80447 11477260.3314 353291.495268 -1814329.5995 2520912.59004 -146311.890822 -997160.846 704537.064356 -120959.750499 -494173.163589 252253.662591 -36324.9050032 -201827.992875 129178.182868 16926.6450538 -52166.6035953 86019.8937028 -395.050516821 -24618.5155654 23828.4145318 [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () 0.953386785765 [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () RooPlot frame_x_b11ecf0 (data generated from composite) plots variable x "x" Plot frame contains 5 object(s): [0] (Options="P") RooHist::data [1] (Options="L") RooCurve::bkg [2] (Options="F") RooCurve::errorband [3] (Options="P") RooHist::data [4] (Options="L") RooCurve::bkg 51 1.745 ---- 15093.0 ---- 14928.7054648 ---- 14968.2541064 ----- 14931.493713 ---- 14894.7333195 ---- 787002.879811 1.755 ---- 15003.0 ---- 14965.8676067 ---- 15004.4470455 ----- 14968.6580933 ---- 14932.8691412 ---- 787002.879811 1.765 ---- 15171.0 ---- 15002.0302309 ---- 15039.615913 ----- 15004.8231209 ---- 14970.0303288 ---- 787002.879811 1.775 ---- 15047.0 ---- 15037.1880941 ---- 15073.755141 ----- 15039.98356 ---- 15006.211979 ---- 787002.879811 1.785 ---- 15008.0 ---- 15071.3360932 ---- 15106.8592954 ----- 15074.1343141 ---- 15041.4093329 ---- 787002.879811 1.795 ---- 14984.0 ---- 15104.4692674 ---- 15138.9230803 ----- 15107.2704296 ---- 15075.6177789 ---- 787002.879811 1.805 ---- 15160.0 ---- 15136.5828022 ---- 15169.9413411 ----- 15139.3870982 ---- 15108.8328553 ---- 787002.879811 1.815 ---- 15254.0 ---- 15167.6720319 ---- 15199.9090686 ----- 15170.4796602 ---- 15141.0502518 ---- 787002.879811 1.825 ---- 15072.0 ---- 15197.7324425 ---- 15228.8214035 ----- 15200.5436077 ---- 15172.265812 ---- 787002.879811 1.835 ---- 15018.0 ---- 15226.7596752 ---- 15256.6736406 ----- 15229.5745873 ---- 15202.4755341 ---- 787002.879811 1.845 ---- 15233.0 ---- 15254.7495295 ---- 15283.4612352 ----- 15257.5684036 ---- 15231.675572 ---- 787002.879811 1.855 ---- 15372.0 ---- 15281.6979656 ---- 15309.1798091 ----- 15284.5210218 ---- 15259.8622345 ---- 787002.879811 1.865 ---- 15244.0 ---- 15307.6011087 ---- 15333.8251589 ----- 15310.4285713 ---- 15287.0319837 ---- 787002.879811 1.875 ---- 15220.0 ---- 15332.455251 ---- 15357.3932661 ----- 15335.2873486 ---- 15313.1814311 ---- 787002.879811 1.885 ---- 15371.0 ---- 15356.2568557 ---- 15379.8803108 ----- 15359.0938204 ---- 15338.3073299 ---- 787002.879811 1.895 ---- 15540.0 ---- 15379.0025596 ---- 15401.2826907 ----- 15381.8446269 ---- 15362.4065631 ---- 787002.879811 1.905 ---- 15174.0 ---- 15400.6891767 ---- 15421.597048 ----- 15403.5365851 ---- 15385.4761222 ---- 787002.879811 1.915 ---- 15541.0 ---- 15421.3137015 ---- 15440.8203105 ----- 15424.1666917 ---- 15407.5130729 ---- 787002.879811 1.925 ---- 15510.0 ---- 15440.8733115 ---- 15458.949757 ----- 15443.7321265 ---- 15428.514496 ---- 787002.879811 1.935 ---- 15692.0 ---- 15459.3653715 ---- 15475.9831261 ----- 15462.2302556 ---- 15448.4773851 ---- 787002.879811 1.945 ---- 15384.0 ---- 15476.7874362 ---- 15491.9188097 ----- 15479.6586349 ---- 15467.3984601 ---- 787002.879811 1.955 ---- 15410.0 ---- 15493.1372534 ---- 15506.7562185 ----- 15496.0150129 ---- 15485.2738073 ---- 787002.879811 1.965 ---- 15563.0 ---- 15508.4127679 ---- 15520.4965336 ----- 15511.2973345 ---- 15502.0981354 ---- 787002.879811 1.975 ---- 15477.0 ---- 15522.6121243 ---- 15533.1444078 ----- 15525.5037439 ---- 15517.86308 ---- 787002.879811 1.985 ---- 15488.0 ---- 15535.7336706 ---- 15544.7123363 ----- 15538.6325882 ---- 15532.5528401 ---- 787002.879811 1.995 ---- 15585.0 ---- 15547.7759615 ---- 15555.2338261 ----- 15550.6824207 ---- 15546.1310153 ---- 787002.879811 2.005 ---- 15608.0 ---- 15558.7377618 ---- 15564.8051213 ----- 15561.6409704 ---- 15558.4768195 ---- 787002.879811 2.015 ---- 15605.0 ---- 15568.6180498 ---- 15573.8077531 ----- 15571.5182302 ---- 15569.2287074 ---- 787002.879811 2.025 ---- 15798.0 ---- 15577.4160205 ---- 15582.9123303 ----- 15580.3133992 ---- 15577.7144682 ---- 787002.879811 2.035 ---- 15345.0 ---- 15585.1310895 ---- 15591.8887482 ----- 15588.0258964 ---- 15584.1630446 ---- 787002.879811 2.045 ---- 15494.0 ---- 15591.7628961 ---- 15600.1540324 ----- 15594.655364 ---- 15589.1566956 ---- 787002.879811 2.055 ---- 15702.0 ---- 15597.3113067 ---- 15607.4915631 ----- 15600.2016711 ---- 15592.9117791 ---- 787002.879811 2.065 ---- 15537.0 ---- 15601.7764186 ---- 15613.8358587 ----- 15604.6649171 ---- 15595.4939754 ---- 787002.879811 2.075 ---- 15627.0 ---- 15605.1585634 ---- 15619.1636201 ----- 15608.0454349 ---- 15596.9272498 ---- 787002.879811 2.085 ---- 15535.0 ---- 15607.4583101 ---- 15623.4654443 ----- 15610.3437951 ---- 15597.2221459 ---- 787002.879811 2.095 ---- 15483.0 ---- 15608.6764695 ---- 15626.7375229 ----- 15611.5608086 ---- 15596.3840943 ---- 787002.879811 2.105 ---- 15692.0 ---- 15608.814097 ---- 15628.978717 ----- 15611.6975309 ---- 15594.4163449 ---- 787002.879811 2.115 ---- 15548.0 ---- 15607.8724962 ---- 15630.1893633 ----- 15610.7552654 ---- 15591.3211675 ---- 787002.879811 2.125 ---- 15630.0 ---- 15605.8532232 ---- 15630.3707291 ----- 15608.7355667 ---- 15587.1004043 ---- 787002.879811 2.135 ---- 15552.0 ---- 15602.7580893 ---- 15629.5247414 ----- 15605.6402447 ---- 15581.7557481 ---- 787002.879811 2.145 ---- 15685.0 ---- 15598.5891654 ---- 15627.6538428 ----- 15601.4713679 ---- 15575.288893 ---- 787002.879811 2.155 ---- 15551.0 ---- 15593.3487848 ---- 15624.7609113 ----- 15596.2312669 ---- 15567.7016225 ---- 787002.879811 2.165 ---- 15695.0 ---- 15587.0395479 ---- 15620.849214 ----- 15589.9225385 ---- 15558.995863 ---- 787002.879811 2.175 ---- 15768.0 ---- 15579.664325 ---- 15615.9223796 ----- 15582.5480488 ---- 15549.1737181 ---- 787002.879811 2.185 ---- 15579.0 ---- 15571.2262602 ---- 15609.9843824 ----- 15574.1109374 ---- 15538.2374924 ---- 787002.879811 2.195 ---- 15613.0 ---- 15561.7287756 ---- 15603.039533 ----- 15564.6146207 ---- 15526.1897083 ---- 787002.879811 2.205 ---- 15616.0 ---- 15551.1755742 ---- 15595.0924735 ----- 15554.0627958 ---- 15513.033118 ---- 787002.879811 2.215 ---- 15430.0 ---- 15539.5706445 ---- 15586.1481747 ----- 15542.4594441 ---- 15498.7707135 ---- 787002.879811 2.225 ---- 15807.0 ---- 15526.9182634 ---- 15576.2119365 ----- 15529.8088353 ---- 15483.4057341 ---- 787002.879811 2.235 ---- 15244.0 ---- 15513.2230008 ---- 15565.2893885 ----- 15516.1155309 ---- 15466.9416733 ---- 787002.879811 2.245 ---- 15392.0 ---- 15498.4897227 ---- 15553.3864916 ----- 15501.3843879 ---- 15449.3822842 ---- 787002.879811 [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) only plotting range 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) p.d.f. curve is normalized using explicit choice of ranges 'Full' [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (background) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: () <<< Combine >>> >>> method used is AsymptoticLimits >>> random number generator seed is 123456 [?1034hSimNLL created with 1 channels, 0 generic constraints, 1 fast gaussian constraints, 0 fast poisson constraints, 0 fast group constraints, SimNLL created with 1 channels, 0 generic constraints, 1 fast gaussian constraints, 0 fast poisson constraints, 0 fast group constraints, SimNLL created with 1 channels, 0 generic constraints, 1 fast gaussian constraints, 0 fast poisson constraints, 0 fast group constraints, -- AsymptoticLimits ( CLs ) -- Observed Limit: r < 8.1643 Expected 2.5%: r < 4.0598 Expected 16.0%: r < 5.4158 Expected 50.0%: r < 7.5312 Expected 84.0%: r < 10.4732 Expected 97.5%: r < 13.9201 Done in 0.00 min (cpu), 0.00 min (real) y_pred [14931.493712990137, 14968.65809331572, 15004.823120941797, 15039.983559990716, 15074.134314139337, 15107.270429610511, 15139.387098182926, 15170.479660219218, 15200.54360771231, 15229.574587349969, 15257.568403597506, 15284.52102179859, 15310.428571294146, 15335.28734855926, 15359.093820358094, 15381.844626916729, 15403.536585113929, 15424.166691689752, 15443.73212647198, 15462.23025562034, 15479.658634888434, 15496.01501290341, 15511.297334463217, 15525.503743851537, 15538.632588170223, 15550.68242068932, 15561.640970403736, 15571.518230232352, 15580.31339924448, 15588.02589640149, 15594.655363994736, 15600.201671100791, 15604.664917053879, 15608.045434935497, 15610.3437950812, 15611.56080860446, 15611.697530937616, 15610.755265389798, 15608.735566721876, 15605.64024473831, 15601.47136789589, 15596.231266929348, 15589.92253849376, 15582.548048823715, 15574.110937409203, 15564.6146206882, 15554.062795755877, 15542.459444090411, 15529.808835295355, 15516.115530858498, 15501.384387927235] sigma [36.76039345292884, 35.78895215092234, 34.792792104281034, 33.771580975257166, 32.72498124854428, 31.652650675096083, 30.554242910910034, 29.42940841987547, 28.277795738220448, 27.099053240452122, 25.892831610797657, 24.65878732334386, 23.39658759087797, 22.10591749654668, 20.786490445854724, 19.438063803911064, 18.060462877348982, 16.653618796826777, 15.217630500639643, 13.752870511034416, 12.260174834209465, 10.741205642516434, 9.199199110107656, 7.640663899597712, 6.07974810093765, 4.551405371761575, 3.164150929000243, 2.289522876482806, 2.598931023343539, 3.862851801848592, 5.498668364618425, 7.289891968268421, 9.170941677521114, 11.118185178496788, 13.121649222384804, 15.176714318111408, 17.28118608708246, 19.43409791407248, 21.635162387196033, 23.884496658889475, 26.182474901606838, 28.529644392947375, 30.926675509414054, 33.374330757691496, 35.87344497716367, 38.424912351074454, 41.0296777061576, 43.688730592413776, 46.40310121158109, 49.173857603160286, 52.00210370326022] 1.74 2.25 signal pulls [0.5321047500121948, 1.834229573551762, -0.7712399952750947, -0.6929037942297623, 0.4144443992844012, -0.38988081965969024, -0.40684825504762073, 0.2748927226512618, 0.37107415604799265, 0.26802574954772745, 1.731931228354685, -1.9618649455632853, -0.8086398652737045, 0.8123873687812135, -0.5428501609284758, 0.15162681671026787] signal integral 100.000001619 bkg integral 787151.077148 sumsq_pulls 3.73856997401 sumsq_fiterr 186.147836821