[?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
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)
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)
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)
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
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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)
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)
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)
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
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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
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 (-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)
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)
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)
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)
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)
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 ERR         0.5
 **********
 **********
 **    8 **SET PRINT           1
 **********
 **********
 **    9 **HESSE        4000
 **********
 COVARIANCE MATRIX CALCULATED SUCCESSFULLY
 FCN=-7.13073e+06 FROM HESSE     STATUS=OK             61 CALLS         897 TOTAL
                     EDM=0.0148615    STRATEGY= 1      ERROR MATRIX ACCURATE 
  EXT PARAMETER                                INTERNAL      INTERNAL  
  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
   1  background_norm   7.87003e+05   1.17738e+03   1.00521e-03  -1.86454e-03
   2  p0           4.56070e+06   6.91083e+05   5.42627e-04   4.73574e-01
   3  p1           3.53276e+05   2.16782e+05   1.11846e-04   3.53349e-02
   4  p2          -1.46316e+05   8.50879e+04   3.62445e-05  -1.46321e-02
   5  p3          -1.20961e+05   3.73318e+04   1.33397e-05  -1.20964e-02
   6  p4          -3.63253e+04   1.65519e+04   5.24296e-06  -3.63254e-03
   7  p5           1.69265e+04   6.91208e+03   2.14378e-06   1.69265e-03
   8  p6          -3.95090e+02   2.42312e+03   8.99496e-07  -3.95090e-05
                               ERR DEF= 0.5
 EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  8    ERR DEF=0.5
  1.386e+06  3.147e+07  2.698e+07  1.004e+07  2.550e+06  3.883e+04 -5.291e+05 -4.881e+05 
  3.147e+07  4.786e+11 -2.145e+10 -9.390e+09 -3.667e+09 -1.196e+09 -2.396e+08  7.175e+07 
  2.698e+07 -2.145e+10  4.700e+10 -6.112e+09 -2.162e+09 -5.933e+08 -5.582e+07  8.508e+07 
  1.004e+07 -9.390e+09 -6.112e+09  7.240e+09 -9.365e+08 -2.794e+08 -4.801e+07  1.823e+07 
  2.550e+06 -3.667e+09 -2.162e+09 -9.365e+08  1.394e+09 -1.304e+08 -3.929e+07 -7.731e+06 
  3.883e+04 -1.196e+09 -5.933e+08 -2.794e+08 -1.304e+08  2.740e+08 -2.771e+07 -1.269e+07 
 -5.291e+05 -2.396e+08 -5.582e+07 -4.801e+07 -3.929e+07 -2.771e+07  4.778e+07 -1.056e+07 
 -4.881e+05  7.175e+07  8.508e+07  1.823e+07 -7.731e+06 -1.269e+07 -1.056e+07  5.872e+06 
 PARAMETER  CORRELATION COEFFICIENTS  
       NO.  GLOBAL      1      2      3      4      5      6      7      8
        1  0.41239   1.000  0.039  0.106  0.100  0.058  0.002 -0.065 -0.171
        2  0.99549   0.039  1.000 -0.143 -0.160 -0.142 -0.104 -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  0.99883   0.058 -0.142 -0.267 -0.295  1.000 -0.211 -0.152 -0.085
        6  0.99908   0.002 -0.104 -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
[#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)
 **********
 **   10 **SET PRINT           1
 **********
 **********
 **   11 **SET NOGRAD
 **********
 PARAMETER DEFINITIONS:
    NO.   NAME         VALUE      STEP SIZE      LIMITS
     1 background_norm   7.87003e+05  1.17738e+03    7.08435e+05  8.65865e+05
     2 p0           4.56070e+06  6.91083e+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  2.16782e+05   -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  8.50879e+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  3.73318e+04   -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  1.65519e+04   -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  6.91208e+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  2.42312e+03   -1.00000e+07  1.00000e+07
 MINUIT WARNING IN PARAM DEF
 ============== LIMITS ON PARAM8 TOO FAR APART.
 **********
 **   12 **SET ERR         0.5
 **********
 **********
 **   13 **SET PRINT           1
 **********
 **********
 **   14 **SET STR           1
 **********
 NOW USING STRATEGY  1: TRY TO BALANCE SPEED AGAINST RELIABILITY
 **********
 **   15 **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          33 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   1.17738e+03   1.49581e-02   6.99500e-01
   2  p0           4.56070e+06   6.91083e+05   7.77952e-02  -9.11329e+00
   3  p1           3.53276e+05   2.16782e+05   2.16934e-02  -1.92218e+01
   4  p2          -1.46316e+05   8.50879e+04   8.50980e-03  -4.49489e+01
   5  p3          -1.20961e+05   3.73318e+04   3.73346e-03  -1.30575e+02
   6  p4          -3.63253e+04   1.65519e+04   1.65520e-03  -3.47456e+02
   7  p5           1.69265e+04   6.91208e+03   6.91209e-04  -7.23807e+02
   8  p6          -3.95090e+02   2.42312e+03   2.42312e-04  -8.84399e+02
                               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 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  
 ============== 1.09946 added to diagonal of error matrix
[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-7.05106e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=816262, p0=-916014, p1=9.97535e+06, p2=-3.43748e+06, p3=-3.27791e+06, p4=-4.23074e+06, p5=-4.23656e+06, p6=-9.55859e+06
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-678886014.368627), forcing value to zero @ x=x=1.745, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-704940108.091800), forcing value to zero @ x=x=1.755, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-731842679.679340), forcing value to zero @ x=x=1.765, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-759616707.472450), forcing value to zero @ x=x=1.775, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-788285668.562703), forcing value to zero @ x=x=1.785, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-817873546.929237), forcing value to zero @ x=x=1.795, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
    ... (remaining 26 messages suppressed)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -6.78886e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -7.0494e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -7.31843e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -7.59617e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -7.88286e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -8.17874e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -8.48405e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -8.79905e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -9.12398e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -9.45912e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -9.80473e+08/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.01611e+09/-1.69741e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
    ... (remaining 8 messages suppressed)
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 816262 +/- 1177.38,p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -2.20374e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -2.27492e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -2.34806e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -2.42321e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -2.50042e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -2.57972e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.66117e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -2.74482e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.83071e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.9189e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -3.00944e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -3.10237e+09/-4.85927e+08), !coefficients=(background_norm = 816262 +/- 1177.38)
    ... (remaining 7 messages suppressed)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-2203739645.163292), forcing value to zero @ x=x=2.085, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-2274920019.082829), forcing value to zero @ x=x=2.095, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-2348062867.570848), forcing value to zero @ x=x=2.105, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-2423213243.740471), forcing value to zero @ x=x=2.115, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-2500417028.685563), forcing value to zero @ x=x=2.125, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f value is less than zero (-2579720942.899291), forcing value to zero @ x=x=2.135, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
    ... (remaining 24 messages suppressed)
RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 816262 +/- 1177.38,p0 = -916014 +/- 691083,p1 = 9.97535e+06 +/- 216782,p2 = -3.43748e+06 +/- 85087.9,p3 = -3.27791e+06 +/- 37331.8,p4 = -4.23074e+06 +/- 16551.9,p5 = -4.23656e+06 +/- 6912.08,p6 = -9.55859e+06 +/- 2423.12)
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 (-7.05106e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=835149, p0=4.6123e+06, p1=-5.33841e+06, p2=-9.57917e+06, p3=-9.4457e+06, p4=-7.92393e+06, p5=-9.8696e+06, p6=6.38286e+06
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-239082997.055350), forcing value to zero @ x=x=1.745, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-242730470.337730), forcing value to zero @ x=x=1.755, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-246344222.390731), forcing value to zero @ x=x=1.765, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-249919777.436710), forcing value to zero @ x=x=1.775, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-253452494.624356), forcing value to zero @ x=x=1.785, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-256937564.342274), forcing value to zero @ x=x=1.795, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
    ... (remaining 26 messages suppressed)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -2.39083e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -2.4273e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -2.46344e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -2.4992e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -2.53452e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -2.56938e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -2.6037e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -2.63745e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -2.67056e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -2.70299e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -2.73468e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -2.76556e+08/-4.81881e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
    ... (remaining 8 messages suppressed)
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 835149 +/- 1177.38,p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -3.08646e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -3.07463e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -3.05977e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -3.04176e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -3.02046e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -2.99575e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.96749e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -2.93555e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.89977e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.86003e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -2.81617e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -2.76803e+08/-4.84805e+07), !coefficients=(background_norm = 835149 +/- 1177.38)
    ... (remaining 7 messages suppressed)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-308646234.658087), forcing value to zero @ x=x=2.085, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-307463169.103452), forcing value to zero @ x=x=2.095, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-305977132.000952), forcing value to zero @ x=x=2.105, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-304175652.904083), forcing value to zero @ x=x=2.115, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-302045940.982575), forcing value to zero @ x=x=2.125, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f value is less than zero (-299574879.455682), forcing value to zero @ x=x=2.135, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
    ... (remaining 24 messages suppressed)
RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 835149 +/- 1177.38,p0 = 4.6123e+06 +/- 691083,p1 = -5.33841e+06 +/- 216782,p2 = -9.57917e+06 +/- 85087.9,p3 = -9.4457e+06 +/- 37331.8,p4 = -7.92393e+06 +/- 16551.9,p5 = -9.8696e+06 +/- 6912.08,p6 = 6.38286e+06 +/- 2423.12)
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: -665503
[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-7.05106e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=810243, p0=5.45032e+06, p1=-9.16851e+06, p2=5.43881e+06, p3=-2.78847e+06, p4=-9.99999e+06, p5=4.58091e+06, p6=278174
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-34119915.542325), forcing value to zero @ x=x=1.745, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f value is less than zero (-34103270.681941), forcing value to zero @ x=x=1.755, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f value is less than zero (-34051321.432162), forcing value to zero @ x=x=1.765, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f value is less than zero (-33962454.012811), forcing value to zero @ x=x=1.775, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f value is less than zero (-33835012.270085), forcing value to zero @ x=x=1.785, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f value is less than zero (-33667296.993148), forcing value to zero @ x=x=1.795, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
    ... (remaining 26 messages suppressed)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -3.41199e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -3.41033e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -3.40513e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -3.39625e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -3.3835e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -3.36673e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -3.34576e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -3.3204e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -3.29049e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -3.25582e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -3.2162e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -3.17145e+07/-5.77453e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
    ... (remaining 8 messages suppressed)
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 810243 +/- 1177.38,p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.92823e+06/3.84128e+06), !coefficients=(background_norm = 810243 +/- 1177.38)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-1928227.046608), forcing value to zero @ x=x=2.085, coefList=(p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 810243 +/- 1177.38,p0 = 5.45032e+06 +/- 691083,p1 = -9.16851e+06 +/- 216782,p2 = 5.43881e+06 +/- 85087.9,p3 = -2.78847e+06 +/- 37331.8,p4 = -9.99999e+06 +/- 16551.9,p5 = 4.58091e+06 +/- 6912.08,p6 = 278174 +/- 2423.12)
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 (-7.02904e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=787529, p0=6.0982e+06, p1=4168.08, p2=-929735, p3=-1.86588e+06, p4=-3.85307e+06, p5=-7.41331e+06, p6=-9.8337e+06
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-767727208.891021), forcing value to zero @ x=x=1.745, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-797031605.495637), forcing value to zero @ x=x=1.755, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-827284182.227448), forcing value to zero @ x=x=1.765, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-858510405.239232), forcing value to zero @ x=x=1.775, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-890736286.629226), forcing value to zero @ x=x=1.785, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-923988393.195828), forcing value to zero @ x=x=1.795, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
    ... (remaining 26 messages suppressed)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -7.67727e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -7.97032e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -8.27284e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -8.5851e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -8.90736e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -9.23988e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -9.58294e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -9.9368e+08/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -1.03018e+09/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -1.06781e+09/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -1.10661e+09/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -1.14661e+09/-1.916e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
    ... (remaining 8 messages suppressed)
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 787529 +/- 1177.38,p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -2.47628e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -2.55581e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -2.63751e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -2.72145e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -2.80765e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -2.89619e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.98711e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -3.08046e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -3.1763e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -3.27469e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -3.37567e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -3.47931e+09/-5.45185e+08), !coefficients=(background_norm = 787529 +/- 1177.38)
    ... (remaining 7 messages suppressed)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-2476278178.661506), forcing value to zero @ x=x=2.085, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-2555806787.849866), forcing value to zero @ x=x=2.095, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-2637512555.182368), forcing value to zero @ x=x=2.105, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-2721445001.699690), forcing value to zero @ x=x=2.115, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-2807654547.360664), forcing value to zero @ x=x=2.125, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f value is less than zero (-2896192523.247569), forcing value to zero @ x=x=2.135, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
    ... (remaining 24 messages suppressed)
RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 787529 +/- 1177.38,p0 = 6.0982e+06 +/- 691083,p1 = 4168.08 +/- 216782,p2 = -929735 +/- 85087.9,p3 = -1.86588e+06 +/- 37331.8,p4 = -3.85307e+06 +/- 16551.9,p5 = -7.41331e+06 +/- 6912.08,p6 = -9.8337e+06 +/- 2423.12)
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 (-7.02904e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=787099, p0=6.10992e+06, p1=220399, p2=-255859, p3=-208332, p4=-223769, p5=-399241, p6=-878374
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-50127079.286602), forcing value to zero @ x=x=1.745, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.745, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-52390682.940288), forcing value to zero @ x=x=1.755, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.755, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-54730487.724311), forcing value to zero @ x=x=1.765, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.765, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-57148576.746588), forcing value to zero @ x=x=1.775, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.775, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-59647078.686609), forcing value to zero @ x=x=1.785, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.785, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-62228168.542479), forcing value to zero @ x=x=1.795, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=1.795, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
    ... (remaining 26 messages suppressed)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.745), !pdfs=(background = -5.01271e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.755), !pdfs=(background = -5.23907e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.765), !pdfs=(background = -5.47305e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.775), !pdfs=(background = -5.71486e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.785), !pdfs=(background = -5.96471e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.795), !pdfs=(background = -6.22282e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.805), !pdfs=(background = -6.48941e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.815), !pdfs=(background = -6.7647e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.825), !pdfs=(background = -7.04894e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.835), !pdfs=(background = -7.34236e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.845), !pdfs=(background = -7.64519e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 1.855), !pdfs=(background = -7.95769e+07/-1.31765e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
    ... (remaining 8 messages suppressed)
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 787099 +/- 1177.38,p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -1.84636e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -1.90969e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -1.97479e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -2.04171e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -2.11048e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -2.18116e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.25378e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -2.32838e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -2.40502e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -2.48373e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -2.56457e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -2.64759e+08/-4.13113e+07), !coefficients=(background_norm = 787099 +/- 1177.38)
    ... (remaining 7 messages suppressed)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-184636244.483933), forcing value to zero @ x=x=2.085, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-190968981.260160), forcing value to zero @ x=x=2.095, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-197479170.855980), forcing value to zero @ x=x=2.105, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-204170915.698366), forcing value to zero @ x=x=2.115, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-211048394.019765), forcing value to zero @ x=x=2.125, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f value is less than zero (-218115860.906915), forcing value to zero @ x=x=2.135, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
    ... (remaining 24 messages suppressed)
RooNLLVar::nll_model_data_R1[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 787099 +/- 1177.38,p0 = 6.10992e+06 +/- 691083,p1 = 220399 +/- 216782,p2 = -255859 +/- 85087.9,p3 = -208332 +/- 37331.8,p4 = -223769 +/- 16551.9,p5 = -399241 +/- 6912.08,p6 = -878374 +/- 2423.12)
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: -621686
[#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-7.02904e+06) to force MIGRAD to back out of this region. Error log follows
Parameter values: background_norm=787078, p0=6.1105e+06, p1=231208, p2=-222109, p3=-124917, p4=-37207.2, p5=-1788.42, p6=-46771
RooNLLVar::nll_model_data_R2[ paramSet=(background_norm,p0,p1,p2,p3,p4,p5,p6) ]
     function value is NAN @ paramSet=(background_norm = 787078 +/- 1177.38,p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
RooAddPdf::model[ background_norm * background ]
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.085), !pdfs=(background = -252997/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.095), !pdfs=(background = -569602/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.105), !pdfs=(background = -895812/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.115), !pdfs=(background = -1.23184e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.125), !pdfs=(background = -1.5779e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.135), !pdfs=(background = -1.93421e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.145), !pdfs=(background = -2.30099e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.155), !pdfs=(background = -2.67846e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.165), !pdfs=(background = -3.06687e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.175), !pdfs=(background = -3.46644e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.185), !pdfs=(background = -3.8774e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
     getLogVal() top-level p.d.f evaluates to zero @ !refCoefNorm=(x = 2.195), !pdfs=(background = -4.30001e+06/-544247), !coefficients=(background_norm = 787078 +/- 1177.38)
    ... (remaining 7 messages suppressed)
RooPolynomial::background[ x=x coefList=(p0,p1,p2,p3,p4,p5,p6) ]
     p.d.f value is less than zero (-252997.411302), forcing value to zero @ x=x=2.085, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.085, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f value is less than zero (-569601.596494), forcing value to zero @ x=x=2.095, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.095, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f value is less than zero (-895812.227776), forcing value to zero @ x=x=2.105, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.105, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f value is less than zero (-1231839.790031), forcing value to zero @ x=x=2.115, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.115, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f value is less than zero (-1577898.585198), forcing value to zero @ x=x=2.125, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.125, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f value is less than zero (-1934206.785455), forcing value to zero @ x=x=2.135, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
     p.d.f normalization integral is zero or negative @ x=x=2.135, coefList=(p0 = 6.1105e+06 +/- 691083,p1 = 231208 +/- 216782,p2 = -222109 +/- 85087.9,p3 = -124917 +/- 37331.8,p4 = -37207.2 +/- 16551.9,p5 = -1788.42 +/- 6912.08,p6 = -46771 +/- 2423.12)
    ... (remaining 24 messages suppressed)
RooAddition::nll_model_data[ nll_model_data_R1 + nll_model_data_R2 ]
     function value is NAN @ !set=(nll_model_data_R1 = -3.21248e+06,nll_model_data_R2 = -nan)

 MIGRAD FAILS TO FIND IMPROVEMENT
 COVARIANCE MATRIX CALCULATED SUCCESSFULLY
 FCN=-7.13073e+06 FROM HESSE     STATUS=OK             75 CALLS        3618 TOTAL
                     EDM=0.0274033    STRATEGY= 1      ERROR MATRIX ACCURATE 
  EXT PARAMETER                                   STEP         FIRST   
  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
   1  background_norm   7.87076e+05   1.09106e+03   2.51302e-02  -1.00736e+01
   2  p0           6.11053e+06   1.93959e+05   1.83635e-02   8.44967e+00
   3  p1           2.31777e+05   6.36420e+04   3.44932e-03   5.37374e+01
   4  p2          -2.20333e+05   2.47104e+04   1.11616e-03   1.52919e+02
   5  p3          -1.20526e+05   1.02861e+04   4.10398e-04   3.66496e+02
   6  p4          -2.73872e+04   4.40892e+03   1.61217e-04   8.10390e+02
   7  p5           1.91357e+04   1.90088e+03   6.58973e-05   1.72171e+03
   8  p6          -2.94290e+03   8.09946e+02   2.76427e-05   3.60843e+03
                               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
 MIGRAD TERMINATED WITHOUT CONVERGENCE.
 FCN=-7.13073e+06 FROM MIGRAD    STATUS=FAILED       3761 CALLS        3762 TOTAL
                     EDM=0.0101706    STRATEGY= 1      ERR MATRIX APPROXIMATE
  EXT PARAMETER                APPROXIMATE        STEP         FIRST   
  NO.   NAME      VALUE            ERROR          SIZE      DERIVATIVE 
   1  background_norm   7.87020e+05   1.09080e+03   2.51304e-02  -2.66421e-01
   2  p0           6.09994e+06   1.84489e+05   1.93165e-02   8.45285e+00
   3  p1           1.96815e+05   6.09828e+04   3.53779e-03   4.91564e+01
   4  p2          -2.32821e+05   2.36876e+04   1.14643e-03   1.45957e+02
   5  p3          -1.23247e+05   9.86075e+03   4.21748e-04   3.79906e+02
   6  p4          -2.71964e+04   4.22462e+03   1.65732e-04   9.38799e+02
   7  p5           1.97927e+04   1.82035e+03   6.77582e-05   2.27928e+03
   8  p6          -2.45560e+03   7.75448e+02   2.84278e-05   5.53075e+03
                               ERR DEF= 0.5
 EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  8    ERR DEF=0.5
  1.190e+06  5.874e+06  5.229e+06  2.003e+06  5.394e+05  2.522e+04 -1.041e+05 -1.046e+05 
  5.874e+06  3.404e+10 -7.272e+08 -3.297e+08 -1.470e+08 -6.413e+07 -2.726e+07 -1.122e+07 
  5.229e+06 -7.272e+08  3.719e+09 -1.865e+08 -8.189e+07 -3.474e+07 -1.422e+07 -5.574e+06 
  2.003e+06 -3.297e+08 -1.865e+08  5.611e+08 -3.913e+07 -1.708e+07 -7.264e+06 -3.006e+06 
  5.394e+05 -1.470e+08 -8.189e+07 -3.913e+07  9.723e+07 -8.273e+06 -3.711e+06 -1.641e+06 
  2.522e+04 -6.413e+07 -3.474e+07 -1.708e+07 -8.273e+06  1.785e+07 -1.883e+06 -8.869e+05 
 -1.041e+05 -2.726e+07 -1.422e+07 -7.264e+06 -3.711e+06 -1.883e+06  3.314e+06 -4.718e+05 
 -1.046e+05 -1.122e+07 -5.574e+06 -3.006e+06 -1.641e+06 -8.869e+05 -4.718e+05  6.013e+05 
ERR MATRIX APPROXIMATE
 PARAMETER  CORRELATION COEFFICIENTS  
       NO.  GLOBAL      1      2      3      4      5      6      7      8
        1  0.18124   1.000  0.029  0.079  0.078  0.050  0.005 -0.052 -0.124
        2  0.89277   0.029  1.000 -0.065 -0.075 -0.081 -0.082 -0.081 -0.078
        3  0.94911   0.079 -0.065  1.000 -0.129 -0.136 -0.135 -0.128 -0.118
        4  0.96487   0.078 -0.075 -0.129  1.000 -0.168 -0.171 -0.168 -0.164
        5  0.97266   0.050 -0.081 -0.136 -0.168  1.000 -0.199 -0.207 -0.215
        6  0.97704   0.005 -0.082 -0.135 -0.171 -0.199  1.000 -0.245 -0.271
        7  0.97936  -0.052 -0.081 -0.128 -0.168 -0.207 -0.245  1.000 -0.334
        8  0.97998  -0.124 -0.078 -0.118 -0.164 -0.215 -0.271 -0.334  1.000
 ERR MATRIX APPROXIMATE
 **********
 **   16 **SET ERR         0.5
 **********
 **********
 **   17 **SET PRINT           1
 **********
 **********
 **   18 **HESSE        4000
 **********
 COVARIANCE MATRIX CALCULATED SUCCESSFULLY
 FCN=-7.13073e+06 FROM HESSE     STATUS=OK             61 CALLS        3823 TOTAL
                     EDM=0.0263272    STRATEGY= 1      ERROR MATRIX ACCURATE 
  EXT PARAMETER                                INTERNAL      INTERNAL  
  NO.   NAME      VALUE            ERROR       STEP SIZE       VALUE   
   1  background_norm   7.87020e+05   1.17843e+03   1.00522e-03  -1.65673e-03
   2  p0           6.09994e+06   9.01615e+05   7.72658e-04   6.56053e-01
   3  p1           1.96815e+05   2.75012e+05   1.41512e-04   1.96828e-02
   4  p2          -2.32821e+05   1.07710e+05   4.58573e-05  -2.32842e-02
   5  p3          -1.23247e+05   4.72339e+04   1.68699e-05  -1.23250e-02
   6  p4          -2.71964e+04   2.09505e+04   6.62928e-06  -2.71964e-03
   7  p5           1.97927e+04   8.75104e+03   2.71033e-06   1.97928e-03
   8  p6          -2.45560e+03   3.06358e+03   1.13711e-06  -2.45560e-04
                               ERR DEF= 0.5
 EXTERNAL ERROR MATRIX.    NDIM=  25    NPAR=  8    ERR DEF=0.5
  1.389e+06  4.834e+07  3.477e+07  1.269e+07  3.169e+06  1.623e+04 -6.836e+05 -6.215e+05 
  4.834e+07  8.164e+11 -3.444e+10 -1.542e+10 -6.102e+09 -2.031e+09 -4.344e+08  9.309e+07 
  3.477e+07 -3.444e+10  7.565e+10 -9.759e+09 -3.462e+09 -9.537e+08 -9.166e+07  1.345e+08 
  1.269e+07 -1.542e+10 -9.759e+09  1.160e+10 -1.502e+09 -4.483e+08 -7.688e+07  2.970e+07 
  3.169e+06 -6.102e+09 -3.462e+09 -1.502e+09  2.231e+09 -2.087e+08 -6.264e+07 -1.204e+07 
  1.623e+04 -2.031e+09 -9.537e+08 -4.483e+08 -2.087e+08  4.389e+08 -4.422e+07 -2.018e+07 
 -6.836e+05 -4.344e+08 -9.166e+07 -7.688e+07 -6.264e+07 -4.422e+07  7.658e+07 -1.688e+07 
 -6.215e+05  9.309e+07  1.345e+08  2.970e+07 -1.204e+07 -2.018e+07 -1.688e+07  9.386e+06 
 PARAMETER  CORRELATION COEFFICIENTS  
       NO.  GLOBAL      1      2      3      4      5      6      7      8
        1  0.41414   1.000  0.045  0.107  0.100  0.057  0.001 -0.066 -0.172
        2  0.99574   0.045  1.000 -0.139 -0.158 -0.143 -0.107 -0.055  0.034
        3  0.99756   0.107 -0.139  1.000 -0.329 -0.267 -0.166 -0.038  0.160
        4  0.99833   0.100 -0.158 -0.329  1.000 -0.295 -0.199 -0.082  0.090
        5  0.99882   0.057 -0.143 -0.267 -0.295  1.000 -0.211 -0.152 -0.083
        6  0.99908   0.001 -0.107 -0.166 -0.199 -0.211  1.000 -0.241 -0.314
        7  0.99912  -0.066 -0.055 -0.038 -0.082 -0.152 -0.241  1.000 -0.630
        8  0.99873  -0.172  0.034  0.160  0.090 -0.083 -0.314 -0.630  1.000
[#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization
6099937.61838 -2916212.97616 15116088.2129 

196815.000043 -2553305.23681 2946935.2369 

-232821.150124 -1309918.35045 844276.050205 

-123246.582809 -595585.379283 349092.213665 

-27196.3592413 -236701.335045 182308.616562 

19792.7446524 -67717.6330412 107303.122346 

-2455.59818522 -33091.4049041 28180.2085337 

[#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: ()
0.950454069307
[#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_9c44330 (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 ---- 14926.6992334 ---- 15193.6399623 ----- 14929.1702297 ---- 14664.700497 ---- 787019.590932
1.755 ---- 15003.0 ---- 14963.5493956 ---- 15222.3717301 ----- 14966.0220228 ---- 14709.6723155 ---- 787019.590932
1.765 ---- 15171.0 ---- 14999.4499676 ---- 15250.0258661 ----- 15001.9243916 ---- 14753.8229171 ---- 787019.590932
1.775 ---- 15047.0 ---- 15034.3947897 ---- 15276.5961111 ----- 15036.8711837 ---- 14797.1462563 ---- 787019.590932
1.785 ---- 15008.0 ---- 15068.3777386 ---- 15302.0762577 ----- 15070.8562823 ---- 14839.636307 ---- 787019.590932
1.795 ---- 14984.0 ---- 15101.3927272 ---- 15326.4601616 ----- 15103.8736074 ---- 14881.2870533 ---- 787019.590932
1.805 ---- 15160.0 ---- 15133.4337053 ---- 15349.7417562 ----- 15135.9171155 ---- 14922.0924747 ---- 787019.590932
1.815 ---- 15254.0 ---- 15164.4946601 ---- 15371.9150729 ----- 15166.9808002 ---- 14962.0465275 ---- 787019.590932
1.825 ---- 15072.0 ---- 15194.5696163 ---- 15392.9742688 ----- 15197.0586929 ---- 15001.143117 ---- 787019.590932
1.835 ---- 15018.0 ---- 15223.6526367 ---- 15412.9136651 ----- 15226.1448629 ---- 15039.3760606 ---- 787019.590932
1.845 ---- 15233.0 ---- 15251.7378224 ---- 15431.7278 ----- 15254.2334177 ---- 15076.7390353 ---- 787019.590932
1.855 ---- 15372.0 ---- 15278.8193135 ---- 15449.4115033 ----- 15281.3185035 ---- 15113.2255038 ---- 787019.590932
1.865 ---- 15244.0 ---- 15304.8912889 ---- 15465.9600027 ----- 15307.3943058 ---- 15148.8286088 ---- 787019.590932
1.875 ---- 15220.0 ---- 15329.9479671 ---- 15481.3690771 ----- 15332.4550489 ---- 15183.5410207 ---- 787019.590932
1.885 ---- 15371.0 ---- 15353.9836064 ---- 15495.6352835 ----- 15356.4949972 ---- 15217.3547108 ---- 787019.590932
1.895 ---- 15540.0 ---- 15376.9925049 ---- 15508.756298 ----- 15379.5084548 ---- 15250.2606115 ---- 787019.590932
1.905 ---- 15174.0 ---- 15398.9690012 ---- 15520.7314448 ----- 15401.489766 ---- 15282.2480872 ---- 787019.590932
1.915 ---- 15541.0 ---- 15419.9074743 ---- 15531.5625406 ----- 15422.4333158 ---- 15313.3040909 ---- 787019.590932
1.925 ---- 15510.0 ---- 15439.8023441 ---- 15541.2552918 ----- 15442.3335295 ---- 15343.4117672 ---- 787019.590932
1.935 ---- 15692.0 ---- 15458.6480717 ---- 15549.8217078 ----- 15461.1848738 ---- 15372.5480399 ---- 787019.590932
1.945 ---- 15384.0 ---- 15476.439159 ---- 15557.2844787 ----- 15478.9818563 ---- 15400.6792339 ---- 787019.590932
1.955 ---- 15410.0 ---- 15493.17015 ---- 15563.6853986 ----- 15495.719026 ---- 15427.7526535 ---- 787019.590932
1.965 ---- 15563.0 ---- 15508.8356297 ---- 15569.1027048 ----- 15511.3909735 ---- 15453.6792422 ---- 787019.590932
1.975 ---- 15477.0 ---- 15523.4302255 ---- 15573.6895826 ----- 15525.9923311 ---- 15478.2950796 ---- 787019.590932
1.985 ---- 15488.0 ---- 15536.9486063 ---- 15577.7660689 ----- 15539.5177729 ---- 15501.2694768 ---- 787019.590932
1.995 ---- 15585.0 ---- 15549.3854834 ---- 15582.0430783 ----- 15551.9620151 ---- 15521.8809518 ---- 787019.590932
2.005 ---- 15608.0 ---- 15560.7356102 ---- 15588.0937006 ----- 15563.3086751 ---- 15538.5236495 ---- 787019.590932
2.015 ---- 15605.0 ---- 15570.9937824 ---- 15598.0899498 ----- 15573.5635868 ---- 15549.0372238 ---- 787019.590932
2.025 ---- 15798.0 ---- 15580.1548381 ---- 15612.3394909 ----- 15582.7215944 ---- 15553.103698 ---- 787019.590932
2.035 ---- 15345.0 ---- 15588.2136578 ---- 15628.9151708 ----- 15590.7775844 ---- 15552.6399981 ---- 787019.590932
2.045 ---- 15494.0 ---- 15595.1651648 ---- 15646.1762024 ----- 15597.7264858 ---- 15549.2767691 ---- 787019.590932
2.055 ---- 15702.0 ---- 15601.0043246 ---- 15663.3116731 ----- 15603.5632698 ---- 15543.8148664 ---- 787019.590932
2.065 ---- 15537.0 ---- 15605.7261453 ---- 15679.9514589 ----- 15608.2829502 ---- 15536.6144415 ---- 787019.590932
2.075 ---- 15627.0 ---- 15609.3256777 ---- 15695.9161398 ----- 15611.8805833 ---- 15527.8450267 ---- 787019.590932
2.085 ---- 15535.0 ---- 15611.798015 ---- 15711.1113235 ----- 15614.3512677 ---- 15517.5912119 ---- 787019.590932
2.095 ---- 15483.0 ---- 15613.1382928 ---- 15725.4836422 ----- 15615.6901444 ---- 15505.8966467 ---- 787019.590932
2.105 ---- 15692.0 ---- 15613.3416892 ---- 15739.0011859 ----- 15615.8923968 ---- 15492.7836077 ---- 787019.590932
2.115 ---- 15548.0 ---- 15612.4034246 ---- 15751.6441166 ----- 15614.9532503 ---- 15478.2623839 ---- 787019.590932
2.125 ---- 15630.0 ---- 15610.3187615 ---- 15763.3998423 ----- 15612.8679724 ---- 15462.3361025 ---- 787019.590932
2.135 ---- 15552.0 ---- 15607.0830046 ---- 15774.2603841 ----- 15609.6318729 ---- 15445.0033617 ---- 787019.590932
2.145 ---- 15685.0 ---- 15602.6915005 ---- 15784.220864 ----- 15605.2403031 ---- 15426.2597423 ---- 787019.590932
2.155 ---- 15551.0 ---- 15597.1396374 ---- 15793.278599 ----- 15599.6886561 ---- 15406.0987132 ---- 787019.590932
2.165 ---- 15695.0 ---- 15590.4228454 ---- 15801.4325395 ----- 15592.9723665 ---- 15384.5121935 ---- 787019.590932
2.175 ---- 15768.0 ---- 15582.5365956 ---- 15808.6829085 ----- 15585.0869101 ---- 15361.4909117 ---- 787019.590932
2.185 ---- 15579.0 ---- 15573.4764006 ---- 15815.0309663 ----- 15576.0278038 ---- 15337.0246413 ---- 787019.590932
2.195 ---- 15613.0 ---- 15563.2378137 ---- 15820.4788523 ----- 15565.7906053 ---- 15311.1023584 ---- 787019.590932
2.205 ---- 15616.0 ---- 15551.8164287 ---- 15825.029478 ----- 15554.3709129 ---- 15283.7123478 ---- 787019.590932
2.215 ---- 15430.0 ---- 15539.20788 ---- 15828.6864534 ----- 15541.764365 ---- 15254.8422766 ---- 787019.590932
2.225 ---- 15807.0 ---- 15525.4078419 ---- 15831.4540362 ----- 15527.96664 ---- 15224.4792437 ---- 787019.590932
2.235 ---- 15244.0 ---- 15510.4120283 ---- 15833.3370968 ----- 15512.9734559 ---- 15192.609815 ---- 787019.590932
2.245 ---- 15392.0 ---- 15494.2161926 ---- 15834.3410942 ----- 15496.7805699 ---- 15159.2200456 ---- 787019.590932
[#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 < 8.1030
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 [14929.170229677962, 14966.022022769808, 15001.924391602663, 15036.871183658097, 15070.856282346016, 15103.873607436097, 15135.917115476332, 15166.980800198407, 15197.058692909775, 15226.144862872148, 15254.233417666295, 15281.318503542821, 15307.394305758833, 15332.455048900194, 15356.494997189237, 15379.508454777677, 15401.48976602452, 15422.43331575882, 15442.333529526977, 15461.18487382446, 15478.981856311713, 15495.719026014023, 15511.390973505158, 15525.992331074602, 15539.517772878084, 15551.96201507133, 15563.308675060052, 15573.563586799508, 15582.721594428176, 15590.777584448715, 15597.726485773312, 15603.563269750948, 15608.28295017634, 15611.88058328037, 15614.35126770181, 15615.69014444009, 15615.892396788935, 15614.953250250677, 15612.867972430986, 15609.631872913884, 15605.240303116756, 15599.688656125223, 15592.972366507609, 15585.086910108857, 15576.027803823623, 15565.790605348413, 15554.370912912465, 15541.764364987277, 15527.966639974471, 15512.973455871866, 15496.780569917504]
sigma [264.4697326409896, 256.3497073096114, 248.10147448753378, 239.724927396559, 231.21997534284674, 222.58655418073613, 213.8246407443621, 204.93427270258326, 195.91557590849516, 186.76880223740773, 177.49438231643944, 168.0929997457224, 158.5656969149568, 148.91402824918623, 139.1402863523108, 129.247843229321, 119.2416787817383, 109.1292248249847, 98.92176229966026, 88.63683393039719, 78.30262237732677, 67.96637254875895, 57.71173126809845, 47.69725148204088, 38.248296063700764, 30.08106327040514, 24.785025575660256, 24.526363041057266, 29.617896462386852, 38.13758630862867, 48.449716672981594, 59.74840335051522, 71.66850869077462, 84.03555656872231, 96.76005582157086, 109.79349771606758, 123.1087890965955, 136.69086631738355, 150.53186990530776, 164.62851123169094, 178.98056084743803, 193.58994292156785, 208.46017301005486, 223.59599842469106, 239.00316249169555, 254.68824696543015, 270.6585651114601, 286.92208843681874, 303.4873962380916, 320.3636409085466, 337.5605243007649]
1.74 2.25
signal pulls [0.5433349289536329, 1.8425747549890752, -0.7657835228205061, -0.6905194379206065, 0.4136937962722756, -0.39380816158996745, -0.4139609835650152, 0.26464283933706173, 0.3577252550190167, 0.25165241472078365, 1.7127714434706316, -1.9840783820772998, -0.8333124848212966, 0.7855605995028728, -0.5718762788679884, 0.12094759335874948]
signal integral 100.000001619
bkg integral 787151.105469
sumsq_pulls 3.74643808376
sumsq_fiterr 1264.99368096