root [2] test_toy(()  RooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University All rights reserved, please read http://roofit.sourceforge.net/license.txt [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (sgn1) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (sgn2) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (bkg_sys) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (bkg_0,bkg_m,bkg_p,sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#0] WARNING:Plotting -- At observable [x]=95 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000011), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -2.86665e-05), !coefList=(f1 = 0.4,f2 = 0.2) [#0] WARNING:Plotting -- At observable [x]=100 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000011), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -2.86665e-05), !coefList=(f1 = 0.4,f2 = 0.2) [#0] WARNING:Plotting -- At observable [x]=95 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000011), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -2.86665e-05), !coefList=(f1 = 0.4,f2 = 0.2) [#0] WARNING:Plotting -- At observable [x]=97.5 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000011), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -2.86665e-05), !coefList=(f1 = 0.4,f2 = 0.2) [#0] WARNING:Plotting -- At observable [x]=100 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000011), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -2.86665e-05), !coefList=(f1 = 0.4,f2 = 0.2) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Minization -- Including the following constraint terms in minimization: (gaus_alpha,c_Vf) [#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_genData_with_constr) Summation contains a RooNLLVar, using its error level [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- The following expressions have been identified as constant and will be precalculated and cached: (sgn1,sgn2,bkg_0,bkg_m,bkg_p) [#1] INFO:Minization -- The following expressions will be evaluated in cache-and-track mode: (bkg_sys) ********** ** 1 **SET PRINT 1 ********** ********** ** 2 **SET NOGRAD ********** PARAMETER DEFINITIONS: NO. NAME VALUE STEP SIZE LIMITS 1 alpha 0.00000e+00 1.00000e+00 -5.00000e+00 5.00000e+00 2 f1 4.50000e-01 1.00000e-01 0.00000e+00 1.00000e+00 3 f2 2.50000e-01 1.00000e-01 0.00000e+00 1.00000e+00 ********** ** 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 1500 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=67346.2 FROM MIGRAD STATUS=INITIATE 12 CALLS 13 TOTAL EDM= unknown STRATEGY= 1 NO ERROR MATRIX EXT PARAMETER CURRENT GUESS STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 alpha 0.00000e+00 1.00000e+00 2.01358e-01 -3.17548e+03 2 f1 4.50000e-01 1.00000e-01 2.02430e-01 3.46183e+03 3 f2 2.50000e-01 1.00000e-01 2.35352e-01 3.84118e+03 ERR DEF= 0.5 MIGRAD MINIMIZATION HAS CONVERGED. MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX. COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=66312.7 FROM MIGRAD STATUS=CONVERGED 91 CALLS 92 TOTAL EDM=2.58619e-06 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER STEP FIRST NO. NAME VALUE ERROR SIZE DERIVATIVE 1 alpha 1.95698e+00 6.63644e-02 2.01561e-03 -6.17885e-02 2 f1 3.94718e-01 6.09809e-03 1.80386e-03 1.44738e-01 3 f2 2.00006e-01 5.15434e-03 1.68768e-03 3.53624e-02 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 3 ERR DEF=0.5 4.405e-03 8.308e-05 1.584e-04 8.308e-05 3.719e-05 -1.222e-05 1.584e-04 -1.222e-05 2.657e-05 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 1 0.62400 1.000 0.205 0.463 2 0.58314 0.205 1.000 -0.389 3 0.67736 0.463 -0.389 1.000 ********** ** 7 **SET ERR 0.5 ********** ********** ** 8 **SET PRINT 1 ********** ********** ** 9 **HESSE 1500 ********** COVARIANCE MATRIX CALCULATED SUCCESSFULLY FCN=66312.7 FROM HESSE STATUS=OK 16 CALLS 108 TOTAL EDM=2.58085e-06 STRATEGY= 1 ERROR MATRIX ACCURATE EXT PARAMETER INTERNAL INTERNAL NO. NAME VALUE ERROR STEP SIZE VALUE 1 alpha 1.95698e+00 6.62702e-02 8.06242e-05 4.02149e-01 2 f1 3.94718e-01 6.09008e-03 7.21544e-05 -2.12151e-01 3 f2 2.00006e-01 5.14129e-03 6.75074e-05 -6.43486e-01 ERR DEF= 0.5 EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 3 ERR DEF=0.5 4.392e-03 8.336e-05 1.573e-04 8.336e-05 3.709e-05 -1.212e-05 1.573e-04 -1.212e-05 2.643e-05 PARAMETER CORRELATION COEFFICIENTS NO. GLOBAL 1 2 3 1 0.62250 1.000 0.207 0.462 2 0.58165 0.207 1.000 -0.387 3 0.67532 0.462 -0.387 1.000 [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization RooFitResult: minimized FCN value: 66312.7, estimated distance to minimum: 2.58085e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter FinalValue +/- Error -------------------- -------------------------- alpha 1.9570e+00 +/- 6.63e-02 f1 3.9472e-01 +/- 6.09e-03 f2 2.0001e-01 +/- 5.14e-03 [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (sgn1) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (sgn2) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (bkg_sys) [#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (bkg_0,bkg_m,bkg_p,sb) [#1] INFO:NumericIntegration -- RooRealIntegral::init(bkg_sys_Int[e]) using numeric integrator RooBinIntegrator to calculate Int(e) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 495 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 490 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8864.24) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-4.90549, f1=0.437071, f2=0.22117 RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -4.90549 +/- 0.0662702,f1 = 0.437071 +/- 0.00609008,f2 = 0.22117 +/- 0.00514129) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00326915/1,gaus_alpha = 5.95127e-06,c_Vf = 0.780811) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00244475/1,gaus_alpha = 5.95127e-06,c_Vf = 0.780811) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000794686/1,gaus_alpha = 5.95127e-06,c_Vf = 0.780811) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.003269), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = -0.00956569), !coefList=(f1 = 0.437071 +/- 0.00609008,f2 = 0.22117 +/- 0.00514129) p.d.f value is less than zero (-0.002445), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = -0.00716368), !coefList=(f1 = 0.437071 +/- 0.00609008,f2 = 0.22117 +/- 0.00514129) p.d.f value is less than zero (-0.000795), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = -0.00237132), !coefList=(f1 = 0.437071 +/- 0.00609008,f2 = 0.22117 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 9.29154) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 485 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 480 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 475 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 470 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 465 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 460 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 455 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 450 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.11042. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8587.32) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-0.0288236, f1=0.738312, f2=0.372111 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00238687/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00220183/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00196033/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00162994/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000917258/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -4.15395e-05/1,gaus_alpha = 0.999585,c_Vf = 1.2485e-08) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.002387), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = 0.0216157), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) p.d.f value is less than zero (-0.002202), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = 0.0199935), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) p.d.f value is less than zero (-0.001960), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = 0.0179936), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) p.d.f value is less than zero (-0.001630), forcing value to zero @ !funcList=(sgn1 = 0.0002,sgn2 = 0,bkg_sys = 0.0160981), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) p.d.f value is less than zero (-0.000917), forcing value to zero @ !funcList=(sgn1 = 0.000958,sgn2 = 0,bkg_sys = 0.0147122), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) p.d.f value is less than zero (-0.000042), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = 0.00347647), !coefList=(f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -0.0288236 +/- 0.0662702,f1 = 0.738312 +/- 0.00609008,f2 = 0.372111 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 15.2114) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 445 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 440 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 435 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 430 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 425 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 420 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8926.79) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=2.43308, f1=0.373894, f2=0.194054 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000155), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.000771549), !coefList=(f1 = 0.373894 +/- 0.00609008,f2 = 0.194054 +/- 0.00514129) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000154819/1,gaus_alpha = 0.0518216,c_Vf = 0.937732) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 415 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 410 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 405 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 400 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 395 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 390 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 385 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 380 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 375 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 370 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 365 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 360 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 355 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 350 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000651), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00172255), !coefList=(f1 = 0.300783 +/- 0.00609008,f2 = 0.209353 +/- 0.00514129) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (9037.75) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=3.18106, f1=0.306894, f2=0.210032 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -5.33215e-05/1,gaus_alpha = 0.00634835,c_Vf = 0.492286) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000053), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = -0.00151767), !coefList=(f1 = 0.306894 +/- 0.00609008,f2 = 0.210032 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 345 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 340 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 335 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 330 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 325 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 320 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 315 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 310 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 305 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 300 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 295 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000468), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00136355), !coefList=(f1 = 0.371119 +/- 0.00609008,f2 = 0.170622 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 290 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 285 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 280 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 275 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 270 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 265 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 260 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000057), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.000733046), !coefList=(f1 = 0.382994 +/- 0.00609008,f2 = 0.238835 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 255 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 250 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.17952. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8566.14) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-0.0448986, f1=0.790792, f2=0.388723 RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -0.0448986 +/- 0.0662702,f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.003862), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = 0.0215129), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) p.d.f value is less than zero (-0.003567), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = 0.019904), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) p.d.f value is less than zero (-0.003190), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = 0.0179265), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) p.d.f value is less than zero (-0.002724), forcing value to zero @ !funcList=(sgn1 = 0.0002,sgn2 = 0,bkg_sys = 0.0160536), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) p.d.f value is less than zero (-0.001877), forcing value to zero @ !funcList=(sgn1 = 0.000958,sgn2 = 0,bkg_sys = 0.0146766), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) p.d.f value is less than zero (-0.000274), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = 0.003518), !coefList=(f1 = 0.790792 +/- 0.00609008,f2 = 0.388723 +/- 0.00514129) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00386189/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00356674/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00318961/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.0027237/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00187709/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000273909/1,gaus_alpha = 0.998993,c_Vf = 9.65246e-11) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 20.0744) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 245 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000194), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.000943833), !coefList=(f1 = 0.47501 +/- 0.00609008,f2 = 0.161872 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 240 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 235 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 230 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 225 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 220 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 215 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 210 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 205 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 200 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 195 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 190 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 185 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 180 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000074), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00108648), !coefList=(f1 = 0.529572 +/- 0.00609008,f2 = 0.217969 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 175 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 170 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 165 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.01574. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8642.57) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=0.0113607, f1=0.665966, f2=0.349772 RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 9.54857) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000344476/1,gaus_alpha = 0.999935,c_Vf = 3.59381e-06) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000312734/1,gaus_alpha = 0.999935,c_Vf = 3.59381e-06) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000261784/1,gaus_alpha = 0.999935,c_Vf = 3.59381e-06) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000121874/1,gaus_alpha = 0.999935,c_Vf = 3.59381e-06) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = 0.0113607 +/- 0.0662702,f1 = 0.665966 +/- 0.00609008,f2 = 0.349772 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000344), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = 0.0218882), !coefList=(f1 = 0.665966 +/- 0.00609008,f2 = 0.349772 +/- 0.00514129) p.d.f value is less than zero (-0.000313), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = 0.0202098), !coefList=(f1 = 0.665966 +/- 0.00609008,f2 = 0.349772 +/- 0.00514129) p.d.f value is less than zero (-0.000262), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = 0.0181573), !coefList=(f1 = 0.665966 +/- 0.00609008,f2 = 0.349772 +/- 0.00514129) p.d.f value is less than zero (-0.000122), forcing value to zero @ !funcList=(sgn1 = 0.0002,sgn2 = 0,bkg_sys = 0.0162071), !coefList=(f1 = 0.665966 +/- 0.00609008,f2 = 0.349772 +/- 0.00514129) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8642.57) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-4.99999, f1=0.533958, f2=0.271479 RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 12.5107) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.0019787/1,gaus_alpha = 3.72683e-06,c_Vf = 0.0498585) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00149191/1,gaus_alpha = 3.72683e-06,c_Vf = 0.0498585) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000518933/1,gaus_alpha = 3.72683e-06,c_Vf = 0.0498585) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -4.99999 +/- 0.0662702,f1 = 0.533958 +/- 0.00609008,f2 = 0.271479 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.001979), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = -0.0101699), !coefList=(f1 = 0.533958 +/- 0.00609008,f2 = 0.271479 +/- 0.00514129) p.d.f value is less than zero (-0.001492), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = -0.00768995), !coefList=(f1 = 0.533958 +/- 0.00609008,f2 = 0.271479 +/- 0.00514129) p.d.f value is less than zero (-0.000519), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = -0.00276597), !coefList=(f1 = 0.533958 +/- 0.00609008,f2 = 0.271479 +/- 0.00514129) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8642.57) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-3.52122, f1=0.466414, f2=0.234655 RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 3.93159) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000213631/1,gaus_alpha = 0.00203048,c_Vf = 0.486801) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -3.52122 +/- 0.0662702,f1 = 0.466414 +/- 0.00609008,f2 = 0.234655 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000214), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = -0.000714652), !coefList=(f1 = 0.466414 +/- 0.00609008,f2 = 0.234655 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 160 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 155 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 150 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 145 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 140 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 135 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 130 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 125 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 120 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 115 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.78525. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8808.51) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-4.47922, f1=0.951581, f2=0.833666 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00276769/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00290249/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00204799/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00538922/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00944172/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.0109917/1,gaus_alpha = 4.39825e-05,c_Vf = 1.52214e-65) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -4.47922 +/- 0.0662702,f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.002768), forcing value to zero @ !funcList=(sgn1 = 0.0002,sgn2 = 0,bkg_sys = 0.00376697), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) p.d.f value is less than zero (-0.002902), forcing value to zero @ !funcList=(sgn1 = 0.000958,sgn2 = 0,bkg_sys = 0.00485721), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) p.d.f value is less than zero (-0.002048), forcing value to zero @ !funcList=(sgn1 = 0.00339,sgn2 = 4e-06,bkg_sys = 0.00672041), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) p.d.f value is less than zero (-0.005389), forcing value to zero @ !funcList=(sgn1 = 4.6e-05,sgn2 = 0.008742,bkg_sys = 0.0161999), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) p.d.f value is less than zero (-0.009442), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = 0.0154582), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) p.d.f value is less than zero (-0.010992), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = 0.0149745), !coefList=(f1 = 0.951581 +/- 0.00609008,f2 = 0.833666 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 156.292) [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995 [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Eval -- RooRealSumPdf::evaluate(sb) WARNING: sum of FUNC coefficients not in range [0-1], value=1.1995. This means that the PDF is not properly normalised. If the PDF was meant to be extended, provide as many coefficients as functions. [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8808.51) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-1.7532, f1=0.74008, f2=0.459418 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00211268/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00206701/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00212646/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00211034/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00146427/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000161797/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00115967/1,gaus_alpha = 0.215055,c_Vf = 8.75997e-14) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -1.7532 +/- 0.0662702,f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.002113), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = 0.01059), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.002067), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = 0.0103908), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.002126), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = 0.0107926), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.002110), forcing value to zero @ !funcList=(sgn1 = 0.0002,sgn2 = 0,bkg_sys = 0.0113202), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.001464), forcing value to zero @ !funcList=(sgn1 = 0.000958,sgn2 = 0,bkg_sys = 0.0108937), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.000162), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = 0.00826695), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) p.d.f value is less than zero (-0.001160), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = 0.00793158), !coefList=(f1 = 0.74008 +/- 0.00609008,f2 = 0.459418 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 28.6151) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8808.51) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=3.12404, f1=0.594986, f2=0.267887 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -2.18686e-05/1,gaus_alpha = 0.0075985,c_Vf = 0.0121493) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000022), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00195676), !coefList=(f1 = 0.594986 +/- 0.00609008,f2 = 0.267887 +/- 0.00514129) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8808.51) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=-5, f1=0.521425, f2=0.187559 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00295963/1,gaus_alpha = 3.72668e-06,c_Vf = 0.30112) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00223374/1,gaus_alpha = 3.72668e-06,c_Vf = 0.30112) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000786179/1,gaus_alpha = 3.72668e-06,c_Vf = 0.30112) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = -5 +/- 0.0662702,f1 = 0.521425 +/- 0.00609008,f2 = 0.187559 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.002960), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0,bkg_sys = -0.01017), !coefList=(f1 = 0.521425 +/- 0.00609008,f2 = 0.187559 +/- 0.00514129) p.d.f value is less than zero (-0.002234), forcing value to zero @ !funcList=(sgn1 = 8e-06,sgn2 = 0,bkg_sys = -0.00768999), !coefList=(f1 = 0.521425 +/- 0.00609008,f2 = 0.187559 +/- 0.00514129) p.d.f value is less than zero (-0.000786), forcing value to zero @ !funcList=(sgn1 = 3.6e-05,sgn2 = 0,bkg_sys = -0.002766), !coefList=(f1 = 0.521425 +/- 0.00609008,f2 = 0.187559 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 10.7125) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8808.51) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=4.46069, f1=0.490059, f2=0.156873 RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000759328/1,gaus_alpha = 4.77817e-05,c_Vf = 0.296748) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00135606/1,gaus_alpha = 4.77817e-05,c_Vf = 0.296748) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = 4.46069 +/- 0.0662702,f1 = 0.490059 +/- 0.00609008,f2 = 0.156873 +/- 0.00514129) RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000759), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = -0.00359324), !coefList=(f1 = 0.490059 +/- 0.00609008,f2 = 0.156873 +/- 0.00514129) p.d.f value is less than zero (-0.001356), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00424957), !coefList=(f1 = 0.490059 +/- 0.00609008,f2 = 0.156873 +/- 0.00514129) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 8.17595) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 110 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 105 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 100 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 95 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 90 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 85 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 80 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 75 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 70 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 65 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 60 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 55 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 50 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000236), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00133094), !coefList=(f1 = 0.484553 +/- 0.00609008,f2 = 0.199762 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 45 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 40 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 35 [#0] ERROR:Eval -- RooAbsReal::logEvalError(sb) evaluation error, origin : RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] message : p.d.f value is less than zero (-0.000368), forcing value to zero server values: !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.0012374), !coefList=(f1 = 0.245404 +/- 0.00609008,f2 = 0.262317 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 30 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 25 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 20 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 15 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 10 [#0] PROGRESS:Generation -- RooMCStudy::run: sample 5 [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8750.26) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=4.65411, f1=0.50873, f2=0.186886 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000583), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = -0.00390696), !coefList=(f1 = 0.50873 +/- 0.00609008,f2 = 0.186886 +/- 0.00514129) p.d.f value is less than zero (-0.001223), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00458134), !coefList=(f1 = 0.50873 +/- 0.00609008,f2 = 0.186886 +/- 0.00514129) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000582892/1,gaus_alpha = 1.97896e-05,c_Vf = 0.376304) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.00122255/1,gaus_alpha = 1.97896e-05,c_Vf = 0.376304) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 8.81992) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = 4.65411 +/- 0.0662702,f1 = 0.50873 +/- 0.00609008,f2 = 0.186886 +/- 0.00514129) [#0] WARNING:Minization -- RooMinimizerFcn: Minimized function has error status. Returning maximum FCN so far (8750.26) to force MIGRAD to back out of this region. Error log follows Parameter values: alpha=4.67991, f1=0.552729, f2=0.227179 RooRealSumPdf::sb[ f1 * sgn1 + f2 * sgn2 + [%] * bkg_sys ] p.d.f value is less than zero (-0.000132), forcing value to zero @ !funcList=(sgn1 = 6e-06,sgn2 = 0.003228,bkg_sys = -0.00394882), !coefList=(f1 = 0.552729 +/- 0.00609008,f2 = 0.227179 +/- 0.00514129) p.d.f value is less than zero (-0.000809), forcing value to zero @ !funcList=(sgn1 = 0,sgn2 = 0.00092,bkg_sys = -0.00462561), !coefList=(f1 = 0.552729 +/- 0.00609008,f2 = 0.227179 +/- 0.00514129) RooProdPdf::model[ sb * gaus_alpha * c_Vf ] getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000132456/1,gaus_alpha = 1.75442e-05,c_Vf = 0.128324) getLogVal() top-level p.d.f evaluates to zero @ !pdfs=(sb = -0.000809057/1,gaus_alpha = 1.75442e-05,c_Vf = 0.128324) RooAddition::nll_model_genData_with_constr[ nll_model_genData + nll_model_genData_constr ] function value is NAN @ !set=(nll_model_genData = -nan,nll_model_genData_constr = 10.0162) RooNLLVar::nll_model_genData[ paramSet=(alpha,f1,f2) ] function value is NAN @ paramSet=(alpha = 4.67991 +/- 0.0662702,f1 = 0.552729 +/- 0.00609008,f2 = 0.227179 +/- 0.00514129) [#0] PROGRESS:Generation -- RooMCStudy::run: sample 0 [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved [#0] ERROR:InputArguments -- RooMCStudy::genData() ERROR, generated data was not saved N TOY = 0 1) RooRealVar:: alpha = 0.387928 +/- 0.188344 2) RooRealVar:: f1 = 0.246226 +/- 0.0176824 3) RooRealVar:: f2 = 0.157976 +/- 0.0152403 4) RooRealVar:: NLL = 9014.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.457955 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.245561 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.159054 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.188344 10) RooRealVar:: alphapull = -0.371805 11) RooRealVar:: f1err = 0.0176824 12) RooRealVar:: f1pull = 0.0375961 13) RooRealVar:: f2err = 0.0152403 14) RooRealVar:: f2pull = -0.0707326 RooFitResult: minimized FCN value: 9014.16, estimated distance to minimum: 1.22794e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.8793e-01 +/- 1.88e-01 f1 4.0000e-01 2.4623e-01 +/- 1.77e-02 f2 2.0000e-01 1.5798e-01 +/- 1.52e-02 N TOY = 1 1) RooRealVar:: alpha = 0.142338 +/- 0.26775 2) RooRealVar:: f1 = 0.396747 +/- 0.0181641 3) RooRealVar:: f2 = 0.237941 +/- 0.0156379 4) RooRealVar:: NLL = 8870.67 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.547328 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.400006 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.252091 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.26775 10) RooRealVar:: alphapull = -1.51257 11) RooRealVar:: f1err = 0.0181641 12) RooRealVar:: f1pull = -0.179402 13) RooRealVar:: f2err = 0.0156379 14) RooRealVar:: f2pull = -0.904816 RooFitResult: minimized FCN value: 8870.67, estimated distance to minimum: 1.90951e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4234e-01 +/- 2.68e-01 f1 4.0000e-01 3.9675e-01 +/- 1.82e-02 f2 2.0000e-01 2.3794e-01 +/- 1.56e-02 N TOY = 2 1) RooRealVar:: alpha = -1.41352 +/- 0.151962 2) RooRealVar:: f1 = 0.253322 +/- 0.0182998 3) RooRealVar:: f2 = 0.201049 +/- 0.0178636 4) RooRealVar:: NLL = 9041.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.24332 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.274836 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208048 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.151962 10) RooRealVar:: alphapull = -1.11997 11) RooRealVar:: f1err = 0.0182998 12) RooRealVar:: f1pull = -1.17567 13) RooRealVar:: f2err = 0.0178636 14) RooRealVar:: f2pull = -0.391852 RooFitResult: minimized FCN value: 9041.95, estimated distance to minimum: 5.04434e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4135e+00 +/- 1.52e-01 f1 4.0000e-01 2.5332e-01 +/- 1.83e-02 f2 2.0000e-01 2.0105e-01 +/- 1.79e-02 N TOY = 3 1) RooRealVar:: alpha = -0.899891 +/- 0.165325 2) RooRealVar:: f1 = 0.251825 +/- 0.0177661 3) RooRealVar:: f2 = 0.234213 +/- 0.017165 4) RooRealVar:: NLL = 9029.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.799826 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.264777 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.257662 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.165325 10) RooRealVar:: alphapull = -0.605263 11) RooRealVar:: f1err = 0.0177661 12) RooRealVar:: f1pull = -0.729032 13) RooRealVar:: f2err = 0.017165 14) RooRealVar:: f2pull = -1.36613 RooFitResult: minimized FCN value: 9029.78, estimated distance to minimum: 3.02989e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.9989e-01 +/- 1.65e-01 f1 4.0000e-01 2.5182e-01 +/- 1.78e-02 f2 2.0000e-01 2.3421e-01 +/- 1.72e-02 N TOY = 4 1) RooRealVar:: alpha = 1.54952 +/- 0.190211 2) RooRealVar:: f1 = 0.359435 +/- 0.0165971 3) RooRealVar:: f2 = 0.16787 +/- 0.0136617 4) RooRealVar:: NLL = 8870.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.43548 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.366449 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.155503 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.190211 10) RooRealVar:: alphapull = 0.599561 11) RooRealVar:: f1err = 0.0165971 12) RooRealVar:: f1pull = -0.422561 13) RooRealVar:: f2err = 0.0136617 14) RooRealVar:: f2pull = 0.905225 RooFitResult: minimized FCN value: 8870.78, estimated distance to minimum: 8.92094e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5495e+00 +/- 1.90e-01 f1 4.0000e-01 3.5944e-01 +/- 1.66e-02 f2 2.0000e-01 1.6787e-01 +/- 1.37e-02 N TOY = 5 1) RooRealVar:: alpha = 1.31054 +/- 0.235163 2) RooRealVar:: f1 = 0.3696 +/- 0.0170512 3) RooRealVar:: f2 = 0.230035 +/- 0.0145634 4) RooRealVar:: NLL = 8877.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.18615 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363077 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.226418 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.235163 10) RooRealVar:: alphapull = 0.528949 11) RooRealVar:: f1err = 0.0170512 12) RooRealVar:: f1pull = 0.382564 13) RooRealVar:: f2err = 0.0145634 14) RooRealVar:: f2pull = 0.248326 RooFitResult: minimized FCN value: 8877.52, estimated distance to minimum: 4.22282e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3105e+00 +/- 2.35e-01 f1 4.0000e-01 3.6960e-01 +/- 1.71e-02 f2 2.0000e-01 2.3003e-01 +/- 1.46e-02 N TOY = 6 1) RooRealVar:: alpha = -0.353867 +/- 0.174686 2) RooRealVar:: f1 = 0.277035 +/- 0.0174195 3) RooRealVar:: f2 = 0.209272 +/- 0.0166926 4) RooRealVar:: NLL = 9024.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.711277 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.265231 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208965 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.174686 10) RooRealVar:: alphapull = 2.04601 11) RooRealVar:: f1err = 0.0174195 12) RooRealVar:: f1pull = 0.677655 13) RooRealVar:: f2err = 0.0166926 14) RooRealVar:: f2pull = 0.0184308 RooFitResult: minimized FCN value: 9024.09, estimated distance to minimum: 1.32865e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.5387e-01 +/- 1.75e-01 f1 4.0000e-01 2.7704e-01 +/- 1.74e-02 f2 2.0000e-01 2.0927e-01 +/- 1.67e-02 N TOY = 7 1) RooRealVar:: alpha = -1.34894 +/- 0.187535 2) RooRealVar:: f1 = 0.376199 +/- 0.0179998 3) RooRealVar:: f2 = 0.240302 +/- 0.0172398 4) RooRealVar:: NLL = 8863.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.33438 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.356297 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.257671 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.187535 10) RooRealVar:: alphapull = -0.077649 11) RooRealVar:: f1err = 0.0179998 12) RooRealVar:: f1pull = 1.1057 13) RooRealVar:: f2err = 0.0172398 14) RooRealVar:: f2pull = -1.00751 RooFitResult: minimized FCN value: 8863.84, estimated distance to minimum: 7.55565e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3489e+00 +/- 1.88e-01 f1 4.0000e-01 3.7620e-01 +/- 1.80e-02 f2 2.0000e-01 2.4030e-01 +/- 1.72e-02 N TOY = 8 1) RooRealVar:: alpha = -0.858293 +/- 0.205076 2) RooRealVar:: f1 = 0.432739 +/- 0.0176238 3) RooRealVar:: f2 = 0.203773 +/- 0.0164693 4) RooRealVar:: NLL = 8834.75 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.624144 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.421841 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21817 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.205076 10) RooRealVar:: alphapull = -1.14177 11) RooRealVar:: f1err = 0.0176238 12) RooRealVar:: f1pull = 0.618379 13) RooRealVar:: f2err = 0.0164693 14) RooRealVar:: f2pull = -0.8742 RooFitResult: minimized FCN value: 8834.75, estimated distance to minimum: 1.9017e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.5829e-01 +/- 2.05e-01 f1 4.0000e-01 4.3274e-01 +/- 1.76e-02 f2 2.0000e-01 2.0377e-01 +/- 1.65e-02 N TOY = 9 1) RooRealVar:: alpha = 1.0863 +/- 0.200786 2) RooRealVar:: f1 = 0.28377 +/- 0.0169555 3) RooRealVar:: f2 = 0.207232 +/- 0.014769 4) RooRealVar:: NLL = 8957.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.24841 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.299616 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.20305 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200786 10) RooRealVar:: alphapull = -0.807374 11) RooRealVar:: f1err = 0.0169555 12) RooRealVar:: f1pull = -0.93453 13) RooRealVar:: f2err = 0.014769 14) RooRealVar:: f2pull = 0.283211 RooFitResult: minimized FCN value: 8957.99, estimated distance to minimum: 1.12855e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0863e+00 +/- 2.01e-01 f1 4.0000e-01 2.8377e-01 +/- 1.70e-02 f2 2.0000e-01 2.0723e-01 +/- 1.48e-02 N TOY = 10 1) RooRealVar:: alpha = -0.173508 +/- 0.218079 2) RooRealVar:: f1 = 0.426349 +/- 0.0174764 3) RooRealVar:: f2 = 0.203251 +/- 0.0159193 4) RooRealVar:: NLL = 8860.88 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.134663 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415185 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.226034 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.218079 10) RooRealVar:: alphapull = -0.178125 11) RooRealVar:: f1err = 0.0174764 12) RooRealVar:: f1pull = 0.638776 13) RooRealVar:: f2err = 0.0159193 14) RooRealVar:: f2pull = -1.43115 RooFitResult: minimized FCN value: 8860.88, estimated distance to minimum: 5.71839e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7351e-01 +/- 2.18e-01 f1 4.0000e-01 4.2635e-01 +/- 1.75e-02 f2 2.0000e-01 2.0325e-01 +/- 1.59e-02 N TOY = 11 1) RooRealVar:: alpha = 1.14938 +/- 0.239879 2) RooRealVar:: f1 = 0.376525 +/- 0.0173481 3) RooRealVar:: f2 = 0.182559 +/- 0.0146849 4) RooRealVar:: NLL = 8894.74 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.5286 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.398026 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.202829 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.239879 10) RooRealVar:: alphapull = -1.58088 11) RooRealVar:: f1err = 0.0173481 12) RooRealVar:: f1pull = -1.2394 13) RooRealVar:: f2err = 0.0146849 14) RooRealVar:: f2pull = -1.38032 RooFitResult: minimized FCN value: 8894.74, estimated distance to minimum: 1.43131e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1494e+00 +/- 2.40e-01 f1 4.0000e-01 3.7653e-01 +/- 1.73e-02 f2 2.0000e-01 1.8256e-01 +/- 1.47e-02 N TOY = 12 1) RooRealVar:: alpha = -0.214313 +/- 0.182992 2) RooRealVar:: f1 = 0.357989 +/- 0.0175032 3) RooRealVar:: f2 = 0.189689 +/- 0.015932 4) RooRealVar:: NLL = 8946.21 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0530217 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.341013 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.205093 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.182992 10) RooRealVar:: alphapull = -0.881413 11) RooRealVar:: f1err = 0.0175032 12) RooRealVar:: f1pull = 0.969921 13) RooRealVar:: f2err = 0.015932 14) RooRealVar:: f2pull = -0.966869 RooFitResult: minimized FCN value: 8946.21, estimated distance to minimum: 3.21278e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1431e-01 +/- 1.83e-01 f1 4.0000e-01 3.5799e-01 +/- 1.75e-02 f2 2.0000e-01 1.8969e-01 +/- 1.59e-02 N TOY = 13 1) RooRealVar:: alpha = -0.0246592 +/- 0.155993 2) RooRealVar:: f1 = 0.181675 +/- 0.017077 3) RooRealVar:: f2 = 0.226952 +/- 0.0165401 4) RooRealVar:: NLL = 9066.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.281182 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.17294 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.237836 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.155993 10) RooRealVar:: alphapull = -1.96062 11) RooRealVar:: f1err = 0.017077 12) RooRealVar:: f1pull = 0.511484 13) RooRealVar:: f2err = 0.0165401 14) RooRealVar:: f2pull = -0.658011 RooFitResult: minimized FCN value: 9066.22, estimated distance to minimum: 8.38691e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.4659e-02 +/- 1.56e-01 f1 4.0000e-01 1.8167e-01 +/- 1.71e-02 f2 2.0000e-01 2.2695e-01 +/- 1.65e-02 N TOY = 14 1) RooRealVar:: alpha = 0.704692 +/- 0.249119 2) RooRealVar:: f1 = 0.38501 +/- 0.0176286 3) RooRealVar:: f2 = 0.215357 +/- 0.0149083 4) RooRealVar:: NLL = 8892.21 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.396096 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.380414 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.194478 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.249119 10) RooRealVar:: alphapull = 1.23875 11) RooRealVar:: f1err = 0.0176286 12) RooRealVar:: f1pull = 0.260719 13) RooRealVar:: f2err = 0.0149083 14) RooRealVar:: f2pull = 1.40051 RooFitResult: minimized FCN value: 8892.21, estimated distance to minimum: 0.00010026 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.0469e-01 +/- 2.49e-01 f1 4.0000e-01 3.8501e-01 +/- 1.76e-02 f2 2.0000e-01 2.1536e-01 +/- 1.49e-02 N TOY = 15 1) RooRealVar:: alpha = -0.481567 +/- 0.195658 2) RooRealVar:: f1 = 0.400624 +/- 0.0174755 3) RooRealVar:: f2 = 0.200928 +/- 0.0161256 4) RooRealVar:: NLL = 8887.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.476696 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.374485 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214622 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195658 10) RooRealVar:: alphapull = -0.0248937 11) RooRealVar:: f1err = 0.0174755 12) RooRealVar:: f1pull = 1.49577 13) RooRealVar:: f2err = 0.0161256 14) RooRealVar:: f2pull = -0.849181 RooFitResult: minimized FCN value: 8887.44, estimated distance to minimum: 2.30648e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.8157e-01 +/- 1.96e-01 f1 4.0000e-01 4.0062e-01 +/- 1.75e-02 f2 2.0000e-01 2.0093e-01 +/- 1.61e-02 N TOY = 16 1) RooRealVar:: alpha = 1.21427 +/- 0.240135 2) RooRealVar:: f1 = 0.319678 +/- 0.017182 3) RooRealVar:: f2 = 0.203689 +/- 0.0151358 4) RooRealVar:: NLL = 8944.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.16759 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.306438 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.20615 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240135 10) RooRealVar:: alphapull = 0.194389 11) RooRealVar:: f1err = 0.017182 12) RooRealVar:: f1pull = 0.770565 13) RooRealVar:: f2err = 0.0151358 14) RooRealVar:: f2pull = -0.162624 RooFitResult: minimized FCN value: 8944.19, estimated distance to minimum: 3.11613e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2143e+00 +/- 2.40e-01 f1 4.0000e-01 3.1968e-01 +/- 1.72e-02 f2 2.0000e-01 2.0369e-01 +/- 1.51e-02 N TOY = 17 1) RooRealVar:: alpha = -0.184275 +/- 0.169952 2) RooRealVar:: f1 = 0.270725 +/- 0.0175504 3) RooRealVar:: f2 = 0.19544 +/- 0.0164249 4) RooRealVar:: NLL = 9030.4 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.218354 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.2838 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.174438 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169952 10) RooRealVar:: alphapull = 0.200521 11) RooRealVar:: f1err = 0.0175504 12) RooRealVar:: f1pull = -0.744954 13) RooRealVar:: f2err = 0.0164249 14) RooRealVar:: f2pull = 1.27867 RooFitResult: minimized FCN value: 9030.4, estimated distance to minimum: 1.07255e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8428e-01 +/- 1.70e-01 f1 4.0000e-01 2.7073e-01 +/- 1.76e-02 f2 2.0000e-01 1.9544e-01 +/- 1.64e-02 N TOY = 18 1) RooRealVar:: alpha = -0.69167 +/- 0.194956 2) RooRealVar:: f1 = 0.406465 +/- 0.0176455 3) RooRealVar:: f2 = 0.17383 +/- 0.0165176 4) RooRealVar:: NLL = 8899.43 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.868786 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.375636 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.189589 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194956 10) RooRealVar:: alphapull = 0.908495 11) RooRealVar:: f1err = 0.0176455 12) RooRealVar:: f1pull = 1.74711 13) RooRealVar:: f2err = 0.0165176 14) RooRealVar:: f2pull = -0.954082 RooFitResult: minimized FCN value: 8899.43, estimated distance to minimum: 3.17212e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.9167e-01 +/- 1.95e-01 f1 4.0000e-01 4.0646e-01 +/- 1.76e-02 f2 2.0000e-01 1.7383e-01 +/- 1.65e-02 N TOY = 19 1) RooRealVar:: alpha = -1.48468 +/- 0.183912 2) RooRealVar:: f1 = 0.35264 +/- 0.0181495 3) RooRealVar:: f2 = 0.239582 +/- 0.0176093 4) RooRealVar:: NLL = 8889.94 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.38782 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.333388 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.259703 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.183912 10) RooRealVar:: alphapull = -0.526675 11) RooRealVar:: f1err = 0.0181495 12) RooRealVar:: f1pull = 1.06077 13) RooRealVar:: f2err = 0.0176093 14) RooRealVar:: f2pull = -1.14262 RooFitResult: minimized FCN value: 8889.94, estimated distance to minimum: 1.00521e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4847e+00 +/- 1.84e-01 f1 4.0000e-01 3.5264e-01 +/- 1.81e-02 f2 2.0000e-01 2.3958e-01 +/- 1.76e-02 N TOY = 20 1) RooRealVar:: alpha = 1.84298 +/- 0.18531 2) RooRealVar:: f1 = 0.341529 +/- 0.0164278 3) RooRealVar:: f2 = 0.18914 +/- 0.0135531 4) RooRealVar:: NLL = 8873.29 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.349744 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208014 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.18531 10) RooRealVar:: alphapull = -0.847332 11) RooRealVar:: f1err = 0.0164278 12) RooRealVar:: f1pull = -0.500049 13) RooRealVar:: f2err = 0.0135531 14) RooRealVar:: f2pull = -1.39259 RooFitResult: minimized FCN value: 8873.29, estimated distance to minimum: 3.35051e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8430e+00 +/- 1.85e-01 f1 4.0000e-01 3.4153e-01 +/- 1.64e-02 f2 2.0000e-01 1.8914e-01 +/- 1.36e-02 N TOY = 21 1) RooRealVar:: alpha = -0.144164 +/- 0.196848 2) RooRealVar:: f1 = 0.330132 +/- 0.0174965 3) RooRealVar:: f2 = 0.231733 +/- 0.0166248 4) RooRealVar:: NLL = 8954.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.507692 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.335804 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219274 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.196848 10) RooRealVar:: alphapull = 1.84675 11) RooRealVar:: f1err = 0.0174965 12) RooRealVar:: f1pull = -0.324189 13) RooRealVar:: f2err = 0.0166248 14) RooRealVar:: f2pull = 0.749377 RooFitResult: minimized FCN value: 8954.76, estimated distance to minimum: 8.467e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4416e-01 +/- 1.97e-01 f1 4.0000e-01 3.3013e-01 +/- 1.75e-02 f2 2.0000e-01 2.3173e-01 +/- 1.66e-02 N TOY = 22 1) RooRealVar:: alpha = 0.677346 +/- 0.215729 2) RooRealVar:: f1 = 0.346258 +/- 0.0174231 3) RooRealVar:: f2 = 0.181319 +/- 0.0147738 4) RooRealVar:: NLL = 8937.08 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.454116 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.354747 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.173807 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215729 10) RooRealVar:: alphapull = 1.03477 11) RooRealVar:: f1err = 0.0174231 12) RooRealVar:: f1pull = -0.48721 13) RooRealVar:: f2err = 0.0147738 14) RooRealVar:: f2pull = 0.508516 RooFitResult: minimized FCN value: 8937.08, estimated distance to minimum: 5.91231e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.7735e-01 +/- 2.16e-01 f1 4.0000e-01 3.4626e-01 +/- 1.74e-02 f2 2.0000e-01 1.8132e-01 +/- 1.48e-02 N TOY = 23 1) RooRealVar:: alpha = 1.20641 +/- 0.24044 2) RooRealVar:: f1 = 0.333677 +/- 0.0173524 3) RooRealVar:: f2 = 0.202897 +/- 0.014849 4) RooRealVar:: NLL = 8927.88 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.22951 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.354525 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.198031 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.24044 10) RooRealVar:: alphapull = -0.0960613 11) RooRealVar:: f1err = 0.0173524 12) RooRealVar:: f1pull = -1.20143 13) RooRealVar:: f2err = 0.014849 14) RooRealVar:: f2pull = 0.327732 RooFitResult: minimized FCN value: 8927.88, estimated distance to minimum: 8.5285e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2064e+00 +/- 2.40e-01 f1 4.0000e-01 3.3368e-01 +/- 1.74e-02 f2 2.0000e-01 2.0290e-01 +/- 1.48e-02 N TOY = 24 1) RooRealVar:: alpha = -0.0445296 +/- 0.243804 2) RooRealVar:: f1 = 0.445684 +/- 0.017046 3) RooRealVar:: f2 = 0.256278 +/- 0.0157387 4) RooRealVar:: NLL = 8779.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.172965 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.443305 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.261773 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.243804 10) RooRealVar:: alphapull = 0.5268 11) RooRealVar:: f1err = 0.017046 12) RooRealVar:: f1pull = 0.139591 13) RooRealVar:: f2err = 0.0157387 14) RooRealVar:: f2pull = -0.349101 RooFitResult: minimized FCN value: 8779.59, estimated distance to minimum: 1.15708e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.4530e-02 +/- 2.44e-01 f1 4.0000e-01 4.4568e-01 +/- 1.70e-02 f2 2.0000e-01 2.5628e-01 +/- 1.57e-02 N TOY = 25 1) RooRealVar:: alpha = -0.26625 +/- 0.186059 2) RooRealVar:: f1 = 0.261908 +/- 0.0173448 3) RooRealVar:: f2 = 0.265776 +/- 0.0168157 4) RooRealVar:: NLL = 9000.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0150759 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.263711 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.279614 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186059 10) RooRealVar:: alphapull = -1.51202 11) RooRealVar:: f1err = 0.0173448 12) RooRealVar:: f1pull = -0.103986 13) RooRealVar:: f2err = 0.0168157 14) RooRealVar:: f2pull = -0.822914 RooFitResult: minimized FCN value: 9000.19, estimated distance to minimum: 1.75237e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.6625e-01 +/- 1.86e-01 f1 4.0000e-01 2.6191e-01 +/- 1.73e-02 f2 2.0000e-01 2.6578e-01 +/- 1.68e-02 N TOY = 26 1) RooRealVar:: alpha = 1.59062 +/- 0.195201 2) RooRealVar:: f1 = 0.375905 +/- 0.0167349 3) RooRealVar:: f2 = 0.14727 +/- 0.0134599 4) RooRealVar:: NLL = 8852.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.73846 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.353572 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.174632 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195201 10) RooRealVar:: alphapull = -0.757384 11) RooRealVar:: f1err = 0.0167349 12) RooRealVar:: f1pull = 1.33447 13) RooRealVar:: f2err = 0.0134599 14) RooRealVar:: f2pull = -2.03285 RooFitResult: minimized FCN value: 8852.78, estimated distance to minimum: 1.00845e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5906e+00 +/- 1.95e-01 f1 4.0000e-01 3.7590e-01 +/- 1.67e-02 f2 2.0000e-01 1.4727e-01 +/- 1.35e-02 N TOY = 27 1) RooRealVar:: alpha = -0.551791 +/- 0.167362 2) RooRealVar:: f1 = 0.335244 +/- 0.0177267 3) RooRealVar:: f2 = 0.160922 +/- 0.0165339 4) RooRealVar:: NLL = 8990.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.609754 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.293346 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.178524 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.167362 10) RooRealVar:: alphapull = 0.346333 11) RooRealVar:: f1err = 0.0177267 12) RooRealVar:: f1pull = 2.36355 13) RooRealVar:: f2err = 0.0165339 14) RooRealVar:: f2pull = -1.06457 RooFitResult: minimized FCN value: 8990.52, estimated distance to minimum: 0.000111101 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.5179e-01 +/- 1.67e-01 f1 4.0000e-01 3.3524e-01 +/- 1.77e-02 f2 2.0000e-01 1.6092e-01 +/- 1.65e-02 N TOY = 28 1) RooRealVar:: alpha = 0.491548 +/- 0.248347 2) RooRealVar:: f1 = 0.400204 +/- 0.0176147 3) RooRealVar:: f2 = 0.215973 +/- 0.0151284 4) RooRealVar:: NLL = 8875.49 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.506177 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.41931 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195049 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.248347 10) RooRealVar:: alphapull = -0.0589074 11) RooRealVar:: f1err = 0.0176147 12) RooRealVar:: f1pull = -1.08467 13) RooRealVar:: f2err = 0.0151284 14) RooRealVar:: f2pull = 1.38312 RooFitResult: minimized FCN value: 8875.49, estimated distance to minimum: 7.35937e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.9155e-01 +/- 2.48e-01 f1 4.0000e-01 4.0020e-01 +/- 1.76e-02 f2 2.0000e-01 2.1597e-01 +/- 1.51e-02 N TOY = 29 1) RooRealVar:: alpha = 1.96219 +/- 0.113219 2) RooRealVar:: f1 = 0.297839 +/- 0.0156387 3) RooRealVar:: f2 = 0.156717 +/- 0.0123172 4) RooRealVar:: NLL = 8825.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.02374 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.304738 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.155558 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.113219 10) RooRealVar:: alphapull = -0.543573 11) RooRealVar:: f1err = 0.0156387 12) RooRealVar:: f1pull = -0.441138 13) RooRealVar:: f2err = 0.0123172 14) RooRealVar:: f2pull = 0.0941048 RooFitResult: minimized FCN value: 8825.54, estimated distance to minimum: 1.901e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9622e+00 +/- 1.13e-01 f1 4.0000e-01 2.9784e-01 +/- 1.56e-02 f2 2.0000e-01 1.5672e-01 +/- 1.23e-02 N TOY = 30 1) RooRealVar:: alpha = -0.411771 +/- 0.217121 2) RooRealVar:: f1 = 0.452808 +/- 0.017209 3) RooRealVar:: f2 = 0.206076 +/- 0.0161397 4) RooRealVar:: NLL = 8803.04 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.873521 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.427259 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.179612 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.217121 10) RooRealVar:: alphapull = 2.12669 11) RooRealVar:: f1err = 0.017209 12) RooRealVar:: f1pull = 1.48464 13) RooRealVar:: f2err = 0.0161397 14) RooRealVar:: f2pull = 1.6397 RooFitResult: minimized FCN value: 8803.04, estimated distance to minimum: 1.58764e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.1177e-01 +/- 2.17e-01 f1 4.0000e-01 4.5281e-01 +/- 1.72e-02 f2 2.0000e-01 2.0608e-01 +/- 1.61e-02 N TOY = 31 1) RooRealVar:: alpha = 0.268083 +/- 0.225117 2) RooRealVar:: f1 = 0.330489 +/- 0.017987 3) RooRealVar:: f2 = 0.195902 +/- 0.015518 4) RooRealVar:: NLL = 8961.18 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.086061 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.323641 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.171601 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.225117 10) RooRealVar:: alphapull = 1.57316 11) RooRealVar:: f1err = 0.017987 12) RooRealVar:: f1pull = 0.380754 13) RooRealVar:: f2err = 0.015518 14) RooRealVar:: f2pull = 1.566 RooFitResult: minimized FCN value: 8961.18, estimated distance to minimum: 1.15782e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.6808e-01 +/- 2.25e-01 f1 4.0000e-01 3.3049e-01 +/- 1.80e-02 f2 2.0000e-01 1.9590e-01 +/- 1.55e-02 N TOY = 32 1) RooRealVar:: alpha = -1.52813 +/- 0.185447 2) RooRealVar:: f1 = 0.376161 +/- 0.0181972 3) RooRealVar:: f2 = 0.224623 +/- 0.0173303 4) RooRealVar:: NLL = 8865.1 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.63943 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.350519 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.248086 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.185447 10) RooRealVar:: alphapull = 0.600189 11) RooRealVar:: f1err = 0.0181972 12) RooRealVar:: f1pull = 1.40912 13) RooRealVar:: f2err = 0.0173303 14) RooRealVar:: f2pull = -1.35388 RooFitResult: minimized FCN value: 8865.1, estimated distance to minimum: 1.42272e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5281e+00 +/- 1.85e-01 f1 4.0000e-01 3.7616e-01 +/- 1.82e-02 f2 2.0000e-01 2.2462e-01 +/- 1.73e-02 N TOY = 33 1) RooRealVar:: alpha = 0.973282 +/- 0.214844 2) RooRealVar:: f1 = 0.354695 +/- 0.0172922 3) RooRealVar:: f2 = 0.169705 +/- 0.0144603 4) RooRealVar:: NLL = 8911.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.867707 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.34752 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.153086 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.214844 10) RooRealVar:: alphapull = 0.491404 11) RooRealVar:: f1err = 0.0172922 12) RooRealVar:: f1pull = 0.414926 13) RooRealVar:: f2err = 0.0144603 14) RooRealVar:: f2pull = 1.14928 RooFitResult: minimized FCN value: 8911.54, estimated distance to minimum: 2.11262e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.7328e-01 +/- 2.15e-01 f1 4.0000e-01 3.5469e-01 +/- 1.73e-02 f2 2.0000e-01 1.6970e-01 +/- 1.45e-02 N TOY = 34 1) RooRealVar:: alpha = 0.907974 +/- 0.385292 2) RooRealVar:: f1 = 0.416895 +/- 0.0175488 3) RooRealVar:: f2 = 0.317501 +/- 0.0154055 4) RooRealVar:: NLL = 8766 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.540121 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.393555 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.319913 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.385292 10) RooRealVar:: alphapull = 0.954738 11) RooRealVar:: f1err = 0.0175488 12) RooRealVar:: f1pull = 1.32996 13) RooRealVar:: f2err = 0.0154055 14) RooRealVar:: f2pull = -0.156556 RooFitResult: minimized FCN value: 8766, estimated distance to minimum: 1.172e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.0797e-01 +/- 3.85e-01 f1 4.0000e-01 4.1689e-01 +/- 1.75e-02 f2 2.0000e-01 3.1750e-01 +/- 1.54e-02 N TOY = 35 1) RooRealVar:: alpha = 1.87621 +/- 0.155989 2) RooRealVar:: f1 = 0.291417 +/- 0.0160136 3) RooRealVar:: f2 = 0.20551 +/- 0.0133985 4) RooRealVar:: NLL = 8886.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.67263 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.27875 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.210426 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.155989 10) RooRealVar:: alphapull = 1.3051 11) RooRealVar:: f1err = 0.0160136 12) RooRealVar:: f1pull = 0.791018 13) RooRealVar:: f2err = 0.0133985 14) RooRealVar:: f2pull = -0.366938 RooFitResult: minimized FCN value: 8886.09, estimated distance to minimum: 2.61327e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8762e+00 +/- 1.56e-01 f1 4.0000e-01 2.9142e-01 +/- 1.60e-02 f2 2.0000e-01 2.0551e-01 +/- 1.34e-02 N TOY = 36 1) RooRealVar:: alpha = -0.204477 +/- 0.187539 2) RooRealVar:: f1 = 0.345842 +/- 0.0175106 3) RooRealVar:: f2 = 0.21083 +/- 0.0161582 4) RooRealVar:: NLL = 8949.42 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.175652 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.368441 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.221587 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.187539 10) RooRealVar:: alphapull = -0.1537 11) RooRealVar:: f1err = 0.0175106 12) RooRealVar:: f1pull = -1.29054 13) RooRealVar:: f2err = 0.0161582 14) RooRealVar:: f2pull = -0.665757 RooFitResult: minimized FCN value: 8949.42, estimated distance to minimum: 2.54482e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.0448e-01 +/- 1.88e-01 f1 4.0000e-01 3.4584e-01 +/- 1.75e-02 f2 2.0000e-01 2.1083e-01 +/- 1.62e-02 N TOY = 37 1) RooRealVar:: alpha = 0.249626 +/- 0.238468 2) RooRealVar:: f1 = 0.357077 +/- 0.0182325 3) RooRealVar:: f2 = 0.198015 +/- 0.015417 4) RooRealVar:: NLL = 8938.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.00145437 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.370269 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169157 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238468 10) RooRealVar:: alphapull = 1.05289 11) RooRealVar:: f1err = 0.0182325 12) RooRealVar:: f1pull = -0.723567 13) RooRealVar:: f2err = 0.015417 14) RooRealVar:: f2pull = 1.87179 RooFitResult: minimized FCN value: 8938.09, estimated distance to minimum: 9.28982e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.4963e-01 +/- 2.38e-01 f1 4.0000e-01 3.5708e-01 +/- 1.82e-02 f2 2.0000e-01 1.9801e-01 +/- 1.54e-02 N TOY = 38 1) RooRealVar:: alpha = -1.09507 +/- 0.183024 2) RooRealVar:: f1 = 0.396067 +/- 0.0178623 3) RooRealVar:: f2 = 0.206196 +/- 0.016827 4) RooRealVar:: NLL = 8879.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.13877 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.421051 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.204938 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.183024 10) RooRealVar:: alphapull = 0.238803 11) RooRealVar:: f1err = 0.0178623 12) RooRealVar:: f1pull = -1.3987 13) RooRealVar:: f2err = 0.016827 14) RooRealVar:: f2pull = 0.0747631 RooFitResult: minimized FCN value: 8879.59, estimated distance to minimum: 1.13563e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0951e+00 +/- 1.83e-01 f1 4.0000e-01 3.9607e-01 +/- 1.79e-02 f2 2.0000e-01 2.0620e-01 +/- 1.68e-02 N TOY = 39 1) RooRealVar:: alpha = 0.660076 +/- 0.219598 2) RooRealVar:: f1 = 0.370368 +/- 0.017395 3) RooRealVar:: f2 = 0.185632 +/- 0.0147667 4) RooRealVar:: NLL = 8915.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.794761 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.379405 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.170095 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.219598 10) RooRealVar:: alphapull = -0.613325 11) RooRealVar:: f1err = 0.017395 12) RooRealVar:: f1pull = -0.519513 13) RooRealVar:: f2err = 0.0147667 14) RooRealVar:: f2pull = 1.05213 RooFitResult: minimized FCN value: 8915.47, estimated distance to minimum: 6.34646e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.6008e-01 +/- 2.20e-01 f1 4.0000e-01 3.7037e-01 +/- 1.74e-02 f2 2.0000e-01 1.8563e-01 +/- 1.48e-02 N TOY = 40 1) RooRealVar:: alpha = -1.62653 +/- 0.157457 2) RooRealVar:: f1 = 0.367173 +/- 0.018472 3) RooRealVar:: f2 = 0.167569 +/- 0.0172727 4) RooRealVar:: NLL = 8925.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.41941 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38442 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.16584 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.157457 10) RooRealVar:: alphapull = -1.31541 11) RooRealVar:: f1err = 0.018472 12) RooRealVar:: f1pull = -0.933636 13) RooRealVar:: f2err = 0.0172727 14) RooRealVar:: f2pull = 0.100087 RooFitResult: minimized FCN value: 8925.93, estimated distance to minimum: 1.21154e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6265e+00 +/- 1.57e-01 f1 4.0000e-01 3.6717e-01 +/- 1.85e-02 f2 2.0000e-01 1.6757e-01 +/- 1.73e-02 N TOY = 41 1) RooRealVar:: alpha = 0.696347 +/- 0.257964 2) RooRealVar:: f1 = 0.448453 +/- 0.0176006 3) RooRealVar:: f2 = 0.143194 +/- 0.0150153 4) RooRealVar:: NLL = 8836.58 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.606972 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.454226 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.141424 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.257964 10) RooRealVar:: alphapull = 0.346466 11) RooRealVar:: f1err = 0.0176006 12) RooRealVar:: f1pull = -0.328014 13) RooRealVar:: f2err = 0.0150153 14) RooRealVar:: f2pull = 0.117882 RooFitResult: minimized FCN value: 8836.58, estimated distance to minimum: 1.23037e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.9635e-01 +/- 2.58e-01 f1 4.0000e-01 4.4845e-01 +/- 1.76e-02 f2 2.0000e-01 1.4319e-01 +/- 1.50e-02 N TOY = 42 1) RooRealVar:: alpha = -0.521312 +/- 0.202341 2) RooRealVar:: f1 = 0.384345 +/- 0.0176157 3) RooRealVar:: f2 = 0.217056 +/- 0.0164277 4) RooRealVar:: NLL = 8897.34 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.352152 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.386186 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217608 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.202341 10) RooRealVar:: alphapull = -0.836014 11) RooRealVar:: f1err = 0.0176157 12) RooRealVar:: f1pull = -0.104515 13) RooRealVar:: f2err = 0.0164277 14) RooRealVar:: f2pull = -0.0335937 RooFitResult: minimized FCN value: 8897.34, estimated distance to minimum: 5.32409e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.2131e-01 +/- 2.02e-01 f1 4.0000e-01 3.8435e-01 +/- 1.76e-02 f2 2.0000e-01 2.1706e-01 +/- 1.64e-02 N TOY = 43 1) RooRealVar:: alpha = -2.67859 +/- 0.115504 2) RooRealVar:: f1 = 0.389307 +/- 0.0188448 3) RooRealVar:: f2 = 0.161377 +/- 0.0177833 4) RooRealVar:: NLL = 8811.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.61529 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.416086 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.160512 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.115504 10) RooRealVar:: alphapull = -0.548062 11) RooRealVar:: f1err = 0.0188448 12) RooRealVar:: f1pull = -1.42104 13) RooRealVar:: f2err = 0.0177833 14) RooRealVar:: f2pull = 0.0486436 RooFitResult: minimized FCN value: 8811.47, estimated distance to minimum: 4.52206e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.6786e+00 +/- 1.16e-01 f1 4.0000e-01 3.8931e-01 +/- 1.88e-02 f2 2.0000e-01 1.6138e-01 +/- 1.78e-02 N TOY = 44 1) RooRealVar:: alpha = 0.484988 +/- 0.20705 2) RooRealVar:: f1 = 0.334987 +/- 0.0177528 3) RooRealVar:: f2 = 0.157044 +/- 0.014997 4) RooRealVar:: NLL = 8958.87 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.167345 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.289538 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.162907 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20705 10) RooRealVar:: alphapull = 1.53414 11) RooRealVar:: f1err = 0.0177528 12) RooRealVar:: f1pull = 2.56007 13) RooRealVar:: f2err = 0.014997 14) RooRealVar:: f2pull = -0.390947 RooFitResult: minimized FCN value: 8958.87, estimated distance to minimum: 2.96625e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.8499e-01 +/- 2.07e-01 f1 4.0000e-01 3.3499e-01 +/- 1.78e-02 f2 2.0000e-01 1.5704e-01 +/- 1.50e-02 N TOY = 45 1) RooRealVar:: alpha = 0.671474 +/- 0.24965 2) RooRealVar:: f1 = 0.425933 +/- 0.0175735 3) RooRealVar:: f2 = 0.199894 +/- 0.0148526 4) RooRealVar:: NLL = 8847.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.656529 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.440709 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.206894 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.24965 10) RooRealVar:: alphapull = 0.0598642 11) RooRealVar:: f1err = 0.0175735 12) RooRealVar:: f1pull = -0.840815 13) RooRealVar:: f2err = 0.0148526 14) RooRealVar:: f2pull = -0.471278 RooFitResult: minimized FCN value: 8847.16, estimated distance to minimum: 2.53201e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.7147e-01 +/- 2.50e-01 f1 4.0000e-01 4.2593e-01 +/- 1.76e-02 f2 2.0000e-01 1.9989e-01 +/- 1.49e-02 N TOY = 46 1) RooRealVar:: alpha = -0.810435 +/- 0.199184 2) RooRealVar:: f1 = 0.4226 +/- 0.0178366 3) RooRealVar:: f2 = 0.184313 +/- 0.0165758 4) RooRealVar:: NLL = 8867.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.560587 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.410132 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187876 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.199184 10) RooRealVar:: alphapull = -1.25436 11) RooRealVar:: f1err = 0.0178366 12) RooRealVar:: f1pull = 0.699046 13) RooRealVar:: f2err = 0.0165758 14) RooRealVar:: f2pull = -0.214984 RooFitResult: minimized FCN value: 8867.11, estimated distance to minimum: 2.52329e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.1044e-01 +/- 1.99e-01 f1 4.0000e-01 4.2260e-01 +/- 1.78e-02 f2 2.0000e-01 1.8431e-01 +/- 1.66e-02 N TOY = 47 1) RooRealVar:: alpha = -0.066153 +/- 0.240347 2) RooRealVar:: f1 = 0.481074 +/- 0.0171287 3) RooRealVar:: f2 = 0.212201 +/- 0.0157355 4) RooRealVar:: NLL = 8757.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.232751 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.486208 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.192851 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240347 10) RooRealVar:: alphapull = 0.693158 11) RooRealVar:: f1err = 0.0171287 12) RooRealVar:: f1pull = -0.299704 13) RooRealVar:: f2err = 0.0157355 14) RooRealVar:: f2pull = 1.22968 RooFitResult: minimized FCN value: 8757.93, estimated distance to minimum: 3.223e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.6153e-02 +/- 2.40e-01 f1 4.0000e-01 4.8107e-01 +/- 1.71e-02 f2 2.0000e-01 2.1220e-01 +/- 1.57e-02 N TOY = 48 1) RooRealVar:: alpha = 0.114917 +/- 0.219359 2) RooRealVar:: f1 = 0.359365 +/- 0.0181405 3) RooRealVar:: f2 = 0.167073 +/- 0.0151508 4) RooRealVar:: NLL = 8942.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.102576 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.393454 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.152105 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.219359 10) RooRealVar:: alphapull = 0.991495 11) RooRealVar:: f1err = 0.0181405 12) RooRealVar:: f1pull = -1.87915 13) RooRealVar:: f2err = 0.0151508 14) RooRealVar:: f2pull = 0.987947 RooFitResult: minimized FCN value: 8942.11, estimated distance to minimum: 8.47975e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1492e-01 +/- 2.19e-01 f1 4.0000e-01 3.5937e-01 +/- 1.81e-02 f2 2.0000e-01 1.6707e-01 +/- 1.52e-02 N TOY = 49 1) RooRealVar:: alpha = 0.64629 +/- 0.253683 2) RooRealVar:: f1 = 0.389267 +/- 0.0176828 3) RooRealVar:: f2 = 0.205581 +/- 0.0153298 4) RooRealVar:: NLL = 8897.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.524855 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.380901 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.224144 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.253683 10) RooRealVar:: alphapull = 0.478686 11) RooRealVar:: f1err = 0.0176828 12) RooRealVar:: f1pull = 0.47312 13) RooRealVar:: f2err = 0.0153298 14) RooRealVar:: f2pull = -1.21086 RooFitResult: minimized FCN value: 8897.44, estimated distance to minimum: 2.56845e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.4629e-01 +/- 2.54e-01 f1 4.0000e-01 3.8927e-01 +/- 1.77e-02 f2 2.0000e-01 2.0558e-01 +/- 1.53e-02 N TOY = 50 1) RooRealVar:: alpha = 0.781375 +/- 0.239292 2) RooRealVar:: f1 = 0.390015 +/- 0.0176953 3) RooRealVar:: f2 = 0.178474 +/- 0.0146877 4) RooRealVar:: NLL = 8894.89 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.83687 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.393332 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181735 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.239292 10) RooRealVar:: alphapull = -0.231915 11) RooRealVar:: f1err = 0.0176953 12) RooRealVar:: f1pull = -0.1875 13) RooRealVar:: f2err = 0.0146877 14) RooRealVar:: f2pull = -0.222037 RooFitResult: minimized FCN value: 8894.89, estimated distance to minimum: 5.54927e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.8137e-01 +/- 2.39e-01 f1 4.0000e-01 3.9001e-01 +/- 1.77e-02 f2 2.0000e-01 1.7847e-01 +/- 1.47e-02 N TOY = 51 1) RooRealVar:: alpha = 0.974763 +/- 0.268681 2) RooRealVar:: f1 = 0.395758 +/- 0.0172981 3) RooRealVar:: f2 = 0.245048 +/- 0.0152379 4) RooRealVar:: NLL = 8864.32 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.740906 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.383534 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.236958 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.268681 10) RooRealVar:: alphapull = 0.870389 11) RooRealVar:: f1err = 0.0172981 12) RooRealVar:: f1pull = 0.706677 13) RooRealVar:: f2err = 0.0152379 14) RooRealVar:: f2pull = 0.53093 RooFitResult: minimized FCN value: 8864.32, estimated distance to minimum: 1.8741e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.7476e-01 +/- 2.69e-01 f1 4.0000e-01 3.9576e-01 +/- 1.73e-02 f2 2.0000e-01 2.4505e-01 +/- 1.52e-02 N TOY = 52 1) RooRealVar:: alpha = 0.840803 +/- 0.526986 2) RooRealVar:: f1 = 0.62862 +/- 0.0159498 3) RooRealVar:: f2 = 0.235078 +/- 0.0140739 4) RooRealVar:: NLL = 8449.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0954583 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.642317 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209276 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.526986 10) RooRealVar:: alphapull = 1.41435 11) RooRealVar:: f1err = 0.0159498 12) RooRealVar:: f1pull = -0.858738 13) RooRealVar:: f2err = 0.0140739 14) RooRealVar:: f2pull = 1.8333 RooFitResult: minimized FCN value: 8449.97, estimated distance to minimum: 2.63722e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.4080e-01 +/- 5.27e-01 f1 4.0000e-01 6.2862e-01 +/- 1.59e-02 f2 2.0000e-01 2.3508e-01 +/- 1.41e-02 N TOY = 53 1) RooRealVar:: alpha = -0.6862 +/- 0.143959 2) RooRealVar:: f1 = 0.0848748 +/- 0.0170508 3) RooRealVar:: f2 = 0.229752 +/- 0.0174537 4) RooRealVar:: NLL = 9129.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.524444 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.0759381 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.273673 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.143959 10) RooRealVar:: alphapull = -1.12362 11) RooRealVar:: f1err = 0.0170508 12) RooRealVar:: f1pull = 0.524118 13) RooRealVar:: f2err = 0.0174537 14) RooRealVar:: f2pull = -2.51643 RooFitResult: minimized FCN value: 9129.15, estimated distance to minimum: 6.47384e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.8620e-01 +/- 1.44e-01 f1 4.0000e-01 8.4875e-02 +/- 1.71e-02 f2 2.0000e-01 2.2975e-01 +/- 1.75e-02 N TOY = 54 1) RooRealVar:: alpha = -0.275955 +/- 0.233008 2) RooRealVar:: f1 = 0.46056 +/- 0.0173359 3) RooRealVar:: f2 = 0.188128 +/- 0.0162956 4) RooRealVar:: NLL = 8822.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0526022 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.443027 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177217 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.233008 10) RooRealVar:: alphapull = -0.958561 11) RooRealVar:: f1err = 0.0173359 12) RooRealVar:: f1pull = 1.01136 13) RooRealVar:: f2err = 0.0162956 14) RooRealVar:: f2pull = 0.669531 RooFitResult: minimized FCN value: 8822.99, estimated distance to minimum: 6.9625e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.7595e-01 +/- 2.33e-01 f1 4.0000e-01 4.6056e-01 +/- 1.73e-02 f2 2.0000e-01 1.8813e-01 +/- 1.63e-02 N TOY = 55 1) RooRealVar:: alpha = 0.793073 +/- 0.242 2) RooRealVar:: f1 = 0.376945 +/- 0.0177416 3) RooRealVar:: f2 = 0.174548 +/- 0.0150375 4) RooRealVar:: NLL = 8912.79 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.704269 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.371665 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177809 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242 10) RooRealVar:: alphapull = 0.366961 11) RooRealVar:: f1err = 0.0177416 12) RooRealVar:: f1pull = 0.297629 13) RooRealVar:: f2err = 0.0150375 14) RooRealVar:: f2pull = -0.216818 RooFitResult: minimized FCN value: 8912.79, estimated distance to minimum: 3.18447e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.9307e-01 +/- 2.42e-01 f1 4.0000e-01 3.7695e-01 +/- 1.77e-02 f2 2.0000e-01 1.7455e-01 +/- 1.50e-02 N TOY = 56 1) RooRealVar:: alpha = 0.0386622 +/- 0.233145 2) RooRealVar:: f1 = 0.361175 +/- 0.0182599 3) RooRealVar:: f2 = 0.193504 +/- 0.015483 4) RooRealVar:: NLL = 8938.26 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.102133 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.379022 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187038 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.233145 10) RooRealVar:: alphapull = -0.27224 11) RooRealVar:: f1err = 0.0182599 12) RooRealVar:: f1pull = -0.97739 13) RooRealVar:: f2err = 0.015483 14) RooRealVar:: f2pull = 0.417602 RooFitResult: minimized FCN value: 8938.26, estimated distance to minimum: 6.44249e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.8662e-02 +/- 2.33e-01 f1 4.0000e-01 3.6118e-01 +/- 1.83e-02 f2 2.0000e-01 1.9350e-01 +/- 1.55e-02 N TOY = 57 1) RooRealVar:: alpha = -1.69085 +/- 0.151541 2) RooRealVar:: f1 = 0.314714 +/- 0.018425 3) RooRealVar:: f2 = 0.182301 +/- 0.0176803 4) RooRealVar:: NLL = 8979.36 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.88391 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.300948 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.179159 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.151541 10) RooRealVar:: alphapull = 1.27398 11) RooRealVar:: f1err = 0.018425 12) RooRealVar:: f1pull = 0.747148 13) RooRealVar:: f2err = 0.0176803 14) RooRealVar:: f2pull = 0.177722 RooFitResult: minimized FCN value: 8979.36, estimated distance to minimum: 1.70871e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6908e+00 +/- 1.52e-01 f1 4.0000e-01 3.1471e-01 +/- 1.84e-02 f2 2.0000e-01 1.8230e-01 +/- 1.77e-02 N TOY = 58 1) RooRealVar:: alpha = -1.30973 +/- 0.194046 2) RooRealVar:: f1 = 0.371098 +/- 0.0182547 3) RooRealVar:: f2 = 0.232823 +/- 0.0171992 4) RooRealVar:: NLL = 8881.42 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.19425 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.387449 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.256491 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194046 10) RooRealVar:: alphapull = -0.595118 11) RooRealVar:: f1err = 0.0182547 12) RooRealVar:: f1pull = -0.895701 13) RooRealVar:: f2err = 0.0171992 14) RooRealVar:: f2pull = -1.37611 RooFitResult: minimized FCN value: 8881.42, estimated distance to minimum: 5.31025e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3097e+00 +/- 1.94e-01 f1 4.0000e-01 3.7110e-01 +/- 1.83e-02 f2 2.0000e-01 2.3282e-01 +/- 1.72e-02 N TOY = 59 1) RooRealVar:: alpha = 0.503443 +/- 0.248188 2) RooRealVar:: f1 = 0.410347 +/- 0.0176179 3) RooRealVar:: f2 = 0.207247 +/- 0.0149196 4) RooRealVar:: NLL = 8872.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.686665 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.400359 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.224 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.248188 10) RooRealVar:: alphapull = -0.738235 11) RooRealVar:: f1err = 0.0176179 12) RooRealVar:: f1pull = 0.566936 13) RooRealVar:: f2err = 0.0149196 14) RooRealVar:: f2pull = -1.12286 RooFitResult: minimized FCN value: 8872.99, estimated distance to minimum: 2.32175e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.0344e-01 +/- 2.48e-01 f1 4.0000e-01 4.1035e-01 +/- 1.76e-02 f2 2.0000e-01 2.0725e-01 +/- 1.49e-02 N TOY = 60 1) RooRealVar:: alpha = 0.955533 +/- 0.251842 2) RooRealVar:: f1 = 0.454511 +/- 0.0170721 3) RooRealVar:: f2 = 0.179034 +/- 0.0143052 4) RooRealVar:: NLL = 8808.35 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.809287 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.421391 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.191324 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.251842 10) RooRealVar:: alphapull = 0.580708 11) RooRealVar:: f1err = 0.0170721 12) RooRealVar:: f1pull = 1.94006 13) RooRealVar:: f2err = 0.0143052 14) RooRealVar:: f2pull = -0.859113 RooFitResult: minimized FCN value: 8808.35, estimated distance to minimum: 9.76811e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.5553e-01 +/- 2.52e-01 f1 4.0000e-01 4.5451e-01 +/- 1.71e-02 f2 2.0000e-01 1.7903e-01 +/- 1.43e-02 N TOY = 61 1) RooRealVar:: alpha = -0.461355 +/- 0.194596 2) RooRealVar:: f1 = 0.458855 +/- 0.0174477 3) RooRealVar:: f2 = 0.159735 +/- 0.0156683 4) RooRealVar:: NLL = 8824.57 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.487082 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.463241 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.168669 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194596 10) RooRealVar:: alphapull = 0.132206 11) RooRealVar:: f1err = 0.0174477 12) RooRealVar:: f1pull = -0.251404 13) RooRealVar:: f2err = 0.0156683 14) RooRealVar:: f2pull = -0.570203 RooFitResult: minimized FCN value: 8824.57, estimated distance to minimum: 4.31292e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.6136e-01 +/- 1.95e-01 f1 4.0000e-01 4.5885e-01 +/- 1.74e-02 f2 2.0000e-01 1.5973e-01 +/- 1.57e-02 N TOY = 62 1) RooRealVar:: alpha = 0.140648 +/- 0.218383 2) RooRealVar:: f1 = 0.367102 +/- 0.0181481 3) RooRealVar:: f2 = 0.147494 +/- 0.0152275 4) RooRealVar:: NLL = 8934.88 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.145661 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.384834 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.148744 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.218383 10) RooRealVar:: alphapull = -0.0229559 11) RooRealVar:: f1err = 0.0181481 12) RooRealVar:: f1pull = -0.977029 13) RooRealVar:: f2err = 0.0152275 14) RooRealVar:: f2pull = -0.0820717 RooFitResult: minimized FCN value: 8934.88, estimated distance to minimum: 9.71232e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4065e-01 +/- 2.18e-01 f1 4.0000e-01 3.6710e-01 +/- 1.81e-02 f2 2.0000e-01 1.4749e-01 +/- 1.52e-02 N TOY = 63 1) RooRealVar:: alpha = -1.56228 +/- 0.186575 2) RooRealVar:: f1 = 0.420837 +/- 0.0179482 3) RooRealVar:: f2 = 0.219924 +/- 0.0171783 4) RooRealVar:: NLL = 8806.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.64578 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.403959 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219214 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186575 10) RooRealVar:: alphapull = 0.447561 11) RooRealVar:: f1err = 0.0179482 12) RooRealVar:: f1pull = 0.940343 13) RooRealVar:: f2err = 0.0171783 14) RooRealVar:: f2pull = 0.0412865 RooFitResult: minimized FCN value: 8806.46, estimated distance to minimum: 6.52846e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5623e+00 +/- 1.87e-01 f1 4.0000e-01 4.2084e-01 +/- 1.79e-02 f2 2.0000e-01 2.1992e-01 +/- 1.72e-02 N TOY = 64 1) RooRealVar:: alpha = -0.829379 +/- 0.170074 2) RooRealVar:: f1 = 0.393921 +/- 0.0178331 3) RooRealVar:: f2 = 0.112173 +/- 0.0165036 4) RooRealVar:: NLL = 8938.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.956215 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.390745 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.0851167 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.170074 10) RooRealVar:: alphapull = 0.74577 11) RooRealVar:: f1err = 0.0178331 12) RooRealVar:: f1pull = 0.178132 13) RooRealVar:: f2err = 0.0165036 14) RooRealVar:: f2pull = 1.63943 RooFitResult: minimized FCN value: 8938.47, estimated distance to minimum: 1.21648e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.2938e-01 +/- 1.70e-01 f1 4.0000e-01 3.9392e-01 +/- 1.78e-02 f2 2.0000e-01 1.1217e-01 +/- 1.65e-02 N TOY = 65 1) RooRealVar:: alpha = 0.967477 +/- 0.21344 2) RooRealVar:: f1 = 0.38531 +/- 0.0173369 3) RooRealVar:: f2 = 0.145171 +/- 0.0140618 4) RooRealVar:: NLL = 8885.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.763284 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.404046 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.12513 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.21344 10) RooRealVar:: alphapull = 0.95668 11) RooRealVar:: f1err = 0.0173369 12) RooRealVar:: f1pull = -1.08071 13) RooRealVar:: f2err = 0.0140618 14) RooRealVar:: f2pull = 1.4252 RooFitResult: minimized FCN value: 8885.51, estimated distance to minimum: 7.2552e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.6748e-01 +/- 2.13e-01 f1 4.0000e-01 3.8531e-01 +/- 1.73e-02 f2 2.0000e-01 1.4517e-01 +/- 1.41e-02 N TOY = 66 1) RooRealVar:: alpha = -0.189427 +/- 0.214077 2) RooRealVar:: f1 = 0.419192 +/- 0.0170458 3) RooRealVar:: f2 = 0.235177 +/- 0.0158459 4) RooRealVar:: NLL = 8832.94 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.130169 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.413108 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.249711 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.214077 10) RooRealVar:: alphapull = -0.27681 11) RooRealVar:: f1err = 0.0170458 12) RooRealVar:: f1pull = 0.356967 13) RooRealVar:: f2err = 0.0158459 14) RooRealVar:: f2pull = -0.917169 RooFitResult: minimized FCN value: 8832.94, estimated distance to minimum: 2.92792e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8943e-01 +/- 2.14e-01 f1 4.0000e-01 4.1919e-01 +/- 1.70e-02 f2 2.0000e-01 2.3518e-01 +/- 1.58e-02 N TOY = 67 1) RooRealVar:: alpha = 0.0829812 +/- 0.210008 2) RooRealVar:: f1 = 0.309486 +/- 0.0183169 3) RooRealVar:: f2 = 0.187442 +/- 0.015382 4) RooRealVar:: NLL = 8984.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0775776 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.329565 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187784 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.210008 10) RooRealVar:: alphapull = 0.0257304 11) RooRealVar:: f1err = 0.0183169 12) RooRealVar:: f1pull = -1.09618 13) RooRealVar:: f2err = 0.015382 14) RooRealVar:: f2pull = -0.0222167 RooFitResult: minimized FCN value: 8984.2, estimated distance to minimum: 2.97868e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.2981e-02 +/- 2.10e-01 f1 4.0000e-01 3.0949e-01 +/- 1.83e-02 f2 2.0000e-01 1.8744e-01 +/- 1.54e-02 N TOY = 68 1) RooRealVar:: alpha = -0.58667 +/- 0.203015 2) RooRealVar:: f1 = 0.409754 +/- 0.0175711 3) RooRealVar:: f2 = 0.198806 +/- 0.016567 4) RooRealVar:: NLL = 8879.71 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.766054 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415788 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18905 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203015 10) RooRealVar:: alphapull = 0.8836 11) RooRealVar:: f1err = 0.0175711 12) RooRealVar:: f1pull = -0.343432 13) RooRealVar:: f2err = 0.016567 14) RooRealVar:: f2pull = 0.588923 RooFitResult: minimized FCN value: 8879.71, estimated distance to minimum: 8.0383e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.8667e-01 +/- 2.03e-01 f1 4.0000e-01 4.0975e-01 +/- 1.76e-02 f2 2.0000e-01 1.9881e-01 +/- 1.66e-02 N TOY = 69 1) RooRealVar:: alpha = -0.43587 +/- 0.20916 2) RooRealVar:: f1 = 0.446413 +/- 0.0173476 3) RooRealVar:: f2 = 0.186794 +/- 0.0161977 4) RooRealVar:: NLL = 8830.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.451933 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.485089 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.162816 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20916 10) RooRealVar:: alphapull = 0.0768014 11) RooRealVar:: f1err = 0.0173476 12) RooRealVar:: f1pull = -2.22948 13) RooRealVar:: f2err = 0.0161977 14) RooRealVar:: f2pull = 1.48032 RooFitResult: minimized FCN value: 8830.51, estimated distance to minimum: 0.000165521 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.3587e-01 +/- 2.09e-01 f1 4.0000e-01 4.4641e-01 +/- 1.73e-02 f2 2.0000e-01 1.8679e-01 +/- 1.62e-02 N TOY = 70 1) RooRealVar:: alpha = 1.35147 +/- 0.208475 2) RooRealVar:: f1 = 0.339679 +/- 0.0167112 3) RooRealVar:: f2 = 0.214058 +/- 0.014325 4) RooRealVar:: NLL = 8909.67 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.20943 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.327359 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211714 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.208475 10) RooRealVar:: alphapull = 0.681318 11) RooRealVar:: f1err = 0.0167112 12) RooRealVar:: f1pull = 0.737245 13) RooRealVar:: f2err = 0.014325 14) RooRealVar:: f2pull = 0.163602 RooFitResult: minimized FCN value: 8909.67, estimated distance to minimum: 4.33028e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3515e+00 +/- 2.08e-01 f1 4.0000e-01 3.3968e-01 +/- 1.67e-02 f2 2.0000e-01 2.1406e-01 +/- 1.43e-02 N TOY = 71 1) RooRealVar:: alpha = 1.37102 +/- 0.187851 2) RooRealVar:: f1 = 0.420187 +/- 0.0165362 3) RooRealVar:: f2 = 0.123749 +/- 0.0131149 4) RooRealVar:: NLL = 8812.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.40241 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.436122 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.102471 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.187851 10) RooRealVar:: alphapull = -0.167099 11) RooRealVar:: f1err = 0.0165362 12) RooRealVar:: f1pull = -0.963659 13) RooRealVar:: f2err = 0.0131149 14) RooRealVar:: f2pull = 1.62244 RooFitResult: minimized FCN value: 8812.98, estimated distance to minimum: 1.30988e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3710e+00 +/- 1.88e-01 f1 4.0000e-01 4.2019e-01 +/- 1.65e-02 f2 2.0000e-01 1.2375e-01 +/- 1.31e-02 N TOY = 72 1) RooRealVar:: alpha = 0.366928 +/- 0.402329 2) RooRealVar:: f1 = 0.575463 +/- 0.0163784 3) RooRealVar:: f2 = 0.253945 +/- 0.0146256 4) RooRealVar:: NLL = 8537.61 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.323791 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.566401 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.231083 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.402329 10) RooRealVar:: alphapull = 0.10722 11) RooRealVar:: f1err = 0.0163784 12) RooRealVar:: f1pull = 0.553274 13) RooRealVar:: f2err = 0.0146256 14) RooRealVar:: f2pull = 1.56308 RooFitResult: minimized FCN value: 8537.61, estimated distance to minimum: 0.000121965 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.6693e-01 +/- 4.02e-01 f1 4.0000e-01 5.7546e-01 +/- 1.64e-02 f2 2.0000e-01 2.5394e-01 +/- 1.46e-02 N TOY = 73 1) RooRealVar:: alpha = 1.61419 +/- 0.21706 2) RooRealVar:: f1 = 0.33015 +/- 0.0167656 3) RooRealVar:: f2 = 0.232176 +/- 0.0141946 4) RooRealVar:: NLL = 8905.03 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.05648 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.29471 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214886 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.21706 10) RooRealVar:: alphapull = 2.56939 11) RooRealVar:: f1err = 0.0167656 12) RooRealVar:: f1pull = 2.11382 13) RooRealVar:: f2err = 0.0141946 14) RooRealVar:: f2pull = 1.21802 RooFitResult: minimized FCN value: 8905.03, estimated distance to minimum: 2.05495e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6142e+00 +/- 2.17e-01 f1 4.0000e-01 3.3015e-01 +/- 1.68e-02 f2 2.0000e-01 2.3218e-01 +/- 1.42e-02 N TOY = 74 1) RooRealVar:: alpha = -1.45369 +/- 0.177638 2) RooRealVar:: f1 = 0.377254 +/- 0.0181618 3) RooRealVar:: f2 = 0.221543 +/- 0.0172463 4) RooRealVar:: NLL = 8874.75 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.39576 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.373161 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.213043 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.177638 10) RooRealVar:: alphapull = -0.326121 11) RooRealVar:: f1err = 0.0181618 12) RooRealVar:: f1pull = 0.225346 13) RooRealVar:: f2err = 0.0172463 14) RooRealVar:: f2pull = 0.492831 RooFitResult: minimized FCN value: 8874.75, estimated distance to minimum: 1.58768e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4537e+00 +/- 1.78e-01 f1 4.0000e-01 3.7725e-01 +/- 1.82e-02 f2 2.0000e-01 2.2154e-01 +/- 1.72e-02 N TOY = 75 1) RooRealVar:: alpha = 1.27668 +/- 0.19938 2) RooRealVar:: f1 = 0.271924 +/- 0.0171593 3) RooRealVar:: f2 = 0.181049 +/- 0.0144901 4) RooRealVar:: NLL = 8942.92 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.24294 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.281972 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.179677 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.19938 10) RooRealVar:: alphapull = 0.169257 11) RooRealVar:: f1err = 0.0171593 12) RooRealVar:: f1pull = -0.585622 13) RooRealVar:: f2err = 0.0144901 14) RooRealVar:: f2pull = 0.0946736 RooFitResult: minimized FCN value: 8942.92, estimated distance to minimum: 2.77754e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2767e+00 +/- 1.99e-01 f1 4.0000e-01 2.7192e-01 +/- 1.72e-02 f2 2.0000e-01 1.8105e-01 +/- 1.45e-02 N TOY = 76 1) RooRealVar:: alpha = -0.166467 +/- 0.149921 2) RooRealVar:: f1 = 0.19999 +/- 0.0172513 3) RooRealVar:: f2 = 0.170494 +/- 0.0163307 4) RooRealVar:: NLL = 9077.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.177523 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.189034 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196415 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.149921 10) RooRealVar:: alphapull = -2.29448 11) RooRealVar:: f1err = 0.0172513 12) RooRealVar:: f1pull = 0.635093 13) RooRealVar:: f2err = 0.0163307 14) RooRealVar:: f2pull = -1.58726 RooFitResult: minimized FCN value: 9077.56, estimated distance to minimum: 1.74745e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6647e-01 +/- 1.50e-01 f1 4.0000e-01 1.9999e-01 +/- 1.73e-02 f2 2.0000e-01 1.7049e-01 +/- 1.63e-02 N TOY = 77 1) RooRealVar:: alpha = 1.08256 +/- 0.180461 2) RooRealVar:: f1 = 0.261188 +/- 0.0168477 3) RooRealVar:: f2 = 0.160001 +/- 0.0143253 4) RooRealVar:: NLL = 8946.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.13816 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.296597 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.145161 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.180461 10) RooRealVar:: alphapull = -0.308089 11) RooRealVar:: f1err = 0.0168477 12) RooRealVar:: f1pull = -2.10173 13) RooRealVar:: f2err = 0.0143253 14) RooRealVar:: f2pull = 1.0359 RooFitResult: minimized FCN value: 8946.28, estimated distance to minimum: 1.16869e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0826e+00 +/- 1.80e-01 f1 4.0000e-01 2.6119e-01 +/- 1.68e-02 f2 2.0000e-01 1.6000e-01 +/- 1.43e-02 N TOY = 78 1) RooRealVar:: alpha = -0.367318 +/- 0.174093 2) RooRealVar:: f1 = 0.285515 +/- 0.0175036 3) RooRealVar:: f2 = 0.206889 +/- 0.0166086 4) RooRealVar:: NLL = 9017.92 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.520626 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.29289 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.207841 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.174093 10) RooRealVar:: alphapull = 0.880609 11) RooRealVar:: f1err = 0.0175036 12) RooRealVar:: f1pull = -0.421324 13) RooRealVar:: f2err = 0.0166086 14) RooRealVar:: f2pull = -0.0573205 RooFitResult: minimized FCN value: 9017.92, estimated distance to minimum: 6.20589e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.6732e-01 +/- 1.74e-01 f1 4.0000e-01 2.8551e-01 +/- 1.75e-02 f2 2.0000e-01 2.0689e-01 +/- 1.66e-02 N TOY = 79 1) RooRealVar:: alpha = 2.70099 +/- 0.3109 2) RooRealVar:: f1 = 0.365892 +/- 0.0163335 3) RooRealVar:: f2 = 0.24855 +/- 0.0146431 4) RooRealVar:: NLL = 8861.65 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.12216 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.361421 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.221074 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.3109 10) RooRealVar:: alphapull = 1.86179 11) RooRealVar:: f1err = 0.0163335 12) RooRealVar:: f1pull = 0.273774 13) RooRealVar:: f2err = 0.0146431 14) RooRealVar:: f2pull = 1.87639 RooFitResult: minimized FCN value: 8861.65, estimated distance to minimum: 1.76478e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.7010e+00 +/- 3.11e-01 f1 4.0000e-01 3.6589e-01 +/- 1.63e-02 f2 2.0000e-01 2.4855e-01 +/- 1.46e-02 N TOY = 80 1) RooRealVar:: alpha = 0.151836 +/- 0.197287 2) RooRealVar:: f1 = 0.308332 +/- 0.0180345 3) RooRealVar:: f2 = 0.174585 +/- 0.0150894 4) RooRealVar:: NLL = 8989.05 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.187241 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.312797 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.171699 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.197287 10) RooRealVar:: alphapull = -0.17946 11) RooRealVar:: f1err = 0.0180345 12) RooRealVar:: f1pull = -0.247586 13) RooRealVar:: f2err = 0.0150894 14) RooRealVar:: f2pull = 0.191272 RooFitResult: minimized FCN value: 8989.05, estimated distance to minimum: 2.76893e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5184e-01 +/- 1.97e-01 f1 4.0000e-01 3.0833e-01 +/- 1.80e-02 f2 2.0000e-01 1.7458e-01 +/- 1.51e-02 N TOY = 81 1) RooRealVar:: alpha = -0.157016 +/- 0.288277 2) RooRealVar:: f1 = 0.584119 +/- 0.0164737 3) RooRealVar:: f2 = 0.193608 +/- 0.0150379 4) RooRealVar:: NLL = 8577.91 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.113784 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.597614 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208622 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.288277 10) RooRealVar:: alphapull = -0.149966 11) RooRealVar:: f1err = 0.0164737 12) RooRealVar:: f1pull = -0.819188 13) RooRealVar:: f2err = 0.0150379 14) RooRealVar:: f2pull = -0.998423 RooFitResult: minimized FCN value: 8577.91, estimated distance to minimum: 6.12796e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5702e-01 +/- 2.88e-01 f1 4.0000e-01 5.8412e-01 +/- 1.65e-02 f2 2.0000e-01 1.9361e-01 +/- 1.50e-02 N TOY = 82 1) RooRealVar:: alpha = 0.00191774 +/- 0.2079 2) RooRealVar:: f1 = 0.371087 +/- 0.0179298 3) RooRealVar:: f2 = 0.203324 +/- 0.0151944 4) RooRealVar:: NLL = 8925.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.205919 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394925 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.174922 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.2079 10) RooRealVar:: alphapull = 0.999697 11) RooRealVar:: f1err = 0.0179298 12) RooRealVar:: f1pull = -1.32952 13) RooRealVar:: f2err = 0.0151944 14) RooRealVar:: f2pull = 1.86925 RooFitResult: minimized FCN value: 8925.06, estimated distance to minimum: 0.000551735 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9177e-03 +/- 2.08e-01 f1 4.0000e-01 3.7109e-01 +/- 1.79e-02 f2 2.0000e-01 2.0332e-01 +/- 1.52e-02 N TOY = 83 1) RooRealVar:: alpha = 1.17155 +/- 0.243234 2) RooRealVar:: f1 = 0.443109 +/- 0.0169781 3) RooRealVar:: f2 = 0.183096 +/- 0.0140953 4) RooRealVar:: NLL = 8821.02 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.27527 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.440353 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195812 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.243234 10) RooRealVar:: alphapull = -0.426427 11) RooRealVar:: f1err = 0.0169781 12) RooRealVar:: f1pull = 0.162334 13) RooRealVar:: f2err = 0.0140953 14) RooRealVar:: f2pull = -0.902178 RooFitResult: minimized FCN value: 8821.02, estimated distance to minimum: 1.67556e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1716e+00 +/- 2.43e-01 f1 4.0000e-01 4.4311e-01 +/- 1.70e-02 f2 2.0000e-01 1.8310e-01 +/- 1.41e-02 N TOY = 84 1) RooRealVar:: alpha = -1.15062 +/- 0.211661 2) RooRealVar:: f1 = 0.516208 +/- 0.0174048 3) RooRealVar:: f2 = 0.172087 +/- 0.0159576 4) RooRealVar:: NLL = 8711.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.38172 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.518385 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.168939 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.211661 10) RooRealVar:: alphapull = 1.09185 11) RooRealVar:: f1err = 0.0174048 12) RooRealVar:: f1pull = -0.12505 13) RooRealVar:: f2err = 0.0159576 14) RooRealVar:: f2pull = 0.197328 RooFitResult: minimized FCN value: 8711.64, estimated distance to minimum: 2.35848e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1506e+00 +/- 2.12e-01 f1 4.0000e-01 5.1621e-01 +/- 1.74e-02 f2 2.0000e-01 1.7209e-01 +/- 1.60e-02 N TOY = 85 1) RooRealVar:: alpha = -0.0600947 +/- 0.208137 2) RooRealVar:: f1 = 0.361816 +/- 0.0173975 3) RooRealVar:: f2 = 0.233323 +/- 0.0162756 4) RooRealVar:: NLL = 8916.77 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.316283 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.382872 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211578 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.208137 10) RooRealVar:: alphapull = 1.23086 11) RooRealVar:: f1err = 0.0173975 12) RooRealVar:: f1pull = -1.21031 13) RooRealVar:: f2err = 0.0162756 14) RooRealVar:: f2pull = 1.33604 RooFitResult: minimized FCN value: 8916.77, estimated distance to minimum: 1.57819e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.0095e-02 +/- 2.08e-01 f1 4.0000e-01 3.6182e-01 +/- 1.74e-02 f2 2.0000e-01 2.3332e-01 +/- 1.63e-02 N TOY = 86 1) RooRealVar:: alpha = -1.01122 +/- 0.175143 2) RooRealVar:: f1 = 0.363475 +/- 0.0179301 3) RooRealVar:: f2 = 0.185302 +/- 0.0169427 4) RooRealVar:: NLL = 8940.92 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.09066 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.347396 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.172795 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175143 10) RooRealVar:: alphapull = 0.453621 11) RooRealVar:: f1err = 0.0179301 12) RooRealVar:: f1pull = 0.89674 13) RooRealVar:: f2err = 0.0169427 14) RooRealVar:: f2pull = 0.738176 RooFitResult: minimized FCN value: 8940.92, estimated distance to minimum: 3.55357e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0112e+00 +/- 1.75e-01 f1 4.0000e-01 3.6347e-01 +/- 1.79e-02 f2 2.0000e-01 1.8530e-01 +/- 1.69e-02 N TOY = 87 1) RooRealVar:: alpha = -0.524883 +/- 0.180124 2) RooRealVar:: f1 = 0.351815 +/- 0.0176604 3) RooRealVar:: f2 = 0.195178 +/- 0.0165047 4) RooRealVar:: NLL = 8952.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.652101 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.364831 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.170735 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.180124 10) RooRealVar:: alphapull = 0.706279 11) RooRealVar:: f1err = 0.0176604 12) RooRealVar:: f1pull = -0.73699 13) RooRealVar:: f2err = 0.0165047 14) RooRealVar:: f2pull = 1.48097 RooFitResult: minimized FCN value: 8952.24, estimated distance to minimum: 1.42781e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.2488e-01 +/- 1.80e-01 f1 4.0000e-01 3.5182e-01 +/- 1.77e-02 f2 2.0000e-01 1.9518e-01 +/- 1.65e-02 N TOY = 88 1) RooRealVar:: alpha = 0.40342 +/- 0.299461 2) RooRealVar:: f1 = 0.435715 +/- 0.0178085 3) RooRealVar:: f2 = 0.224193 +/- 0.0155336 4) RooRealVar:: NLL = 8834.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.398434 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.455968 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.240898 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.299461 10) RooRealVar:: alphapull = 0.0166496 11) RooRealVar:: f1err = 0.0178085 12) RooRealVar:: f1pull = -1.13725 13) RooRealVar:: f2err = 0.0155336 14) RooRealVar:: f2pull = -1.07539 RooFitResult: minimized FCN value: 8834.62, estimated distance to minimum: 2.27289e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.0342e-01 +/- 2.99e-01 f1 4.0000e-01 4.3572e-01 +/- 1.78e-02 f2 2.0000e-01 2.2419e-01 +/- 1.55e-02 N TOY = 89 1) RooRealVar:: alpha = -0.151694 +/- 0.227734 2) RooRealVar:: f1 = 0.450513 +/- 0.0171134 3) RooRealVar:: f2 = 0.220411 +/- 0.0157311 4) RooRealVar:: NLL = 8806.81 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.039878 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.450499 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.258171 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.227734 10) RooRealVar:: alphapull = -0.84121 11) RooRealVar:: f1err = 0.0171134 12) RooRealVar:: f1pull = 0.000811765 13) RooRealVar:: f2err = 0.0157311 14) RooRealVar:: f2pull = -2.40032 RooFitResult: minimized FCN value: 8806.81, estimated distance to minimum: 4.59143e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5169e-01 +/- 2.28e-01 f1 4.0000e-01 4.5051e-01 +/- 1.71e-02 f2 2.0000e-01 2.2041e-01 +/- 1.57e-02 N TOY = 90 1) RooRealVar:: alpha = 0.931487 +/- 0.228141 2) RooRealVar:: f1 = 0.361477 +/- 0.0174705 3) RooRealVar:: f2 = 0.171988 +/- 0.0144991 4) RooRealVar:: NLL = 8912.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.656355 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.378133 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.159034 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.228141 10) RooRealVar:: alphapull = 1.20597 11) RooRealVar:: f1err = 0.0174705 12) RooRealVar:: f1pull = -0.953379 13) RooRealVar:: f2err = 0.0144991 14) RooRealVar:: f2pull = 0.893406 RooFitResult: minimized FCN value: 8912.76, estimated distance to minimum: 7.88673e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.3149e-01 +/- 2.28e-01 f1 4.0000e-01 3.6148e-01 +/- 1.75e-02 f2 2.0000e-01 1.7199e-01 +/- 1.45e-02 N TOY = 91 1) RooRealVar:: alpha = 0.160667 +/- 0.244167 2) RooRealVar:: f1 = 0.391827 +/- 0.0183009 3) RooRealVar:: f2 = 0.194986 +/- 0.0154502 4) RooRealVar:: NLL = 8901.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0245973 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.398238 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.170629 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.244167 10) RooRealVar:: alphapull = 0.758762 11) RooRealVar:: f1err = 0.0183009 12) RooRealVar:: f1pull = -0.350335 13) RooRealVar:: f2err = 0.0154502 14) RooRealVar:: f2pull = 1.57649 RooFitResult: minimized FCN value: 8901.53, estimated distance to minimum: 8.84707e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6067e-01 +/- 2.44e-01 f1 4.0000e-01 3.9183e-01 +/- 1.83e-02 f2 2.0000e-01 1.9499e-01 +/- 1.55e-02 N TOY = 92 1) RooRealVar:: alpha = 0.963399 +/- 0.286985 2) RooRealVar:: f1 = 0.446752 +/- 0.0170089 3) RooRealVar:: f2 = 0.240047 +/- 0.0148821 4) RooRealVar:: NLL = 8798.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.86167 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.448741 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23322 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.286985 10) RooRealVar:: alphapull = 0.354475 11) RooRealVar:: f1err = 0.0170089 12) RooRealVar:: f1pull = -0.116919 13) RooRealVar:: f2err = 0.0148821 14) RooRealVar:: f2pull = 0.45873 RooFitResult: minimized FCN value: 8798.5, estimated distance to minimum: 8.88386e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.6340e-01 +/- 2.87e-01 f1 4.0000e-01 4.4675e-01 +/- 1.70e-02 f2 2.0000e-01 2.4005e-01 +/- 1.49e-02 N TOY = 93 1) RooRealVar:: alpha = -0.0271989 +/- 0.214894 2) RooRealVar:: f1 = 0.396535 +/- 0.0173524 3) RooRealVar:: f2 = 0.217654 +/- 0.0162737 4) RooRealVar:: NLL = 8889.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.193717 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.371835 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.213157 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.214894 10) RooRealVar:: alphapull = 0.774883 11) RooRealVar:: f1err = 0.0173524 12) RooRealVar:: f1pull = 1.42342 13) RooRealVar:: f2err = 0.0162737 14) RooRealVar:: f2pull = 0.276313 RooFitResult: minimized FCN value: 8889.95, estimated distance to minimum: 7.39571e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.7199e-02 +/- 2.15e-01 f1 4.0000e-01 3.9653e-01 +/- 1.74e-02 f2 2.0000e-01 2.1765e-01 +/- 1.63e-02 N TOY = 94 1) RooRealVar:: alpha = 1.04491 +/- 0.273862 2) RooRealVar:: f1 = 0.449227 +/- 0.017055 3) RooRealVar:: f2 = 0.201181 +/- 0.014439 4) RooRealVar:: NLL = 8818.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.850111 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.434227 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195466 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.273862 10) RooRealVar:: alphapull = 0.711307 11) RooRealVar:: f1err = 0.017055 12) RooRealVar:: f1pull = 0.879539 13) RooRealVar:: f2err = 0.014439 14) RooRealVar:: f2pull = 0.395814 RooFitResult: minimized FCN value: 8818.59, estimated distance to minimum: 3.14114e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0449e+00 +/- 2.74e-01 f1 4.0000e-01 4.4923e-01 +/- 1.71e-02 f2 2.0000e-01 2.0118e-01 +/- 1.44e-02 N TOY = 95 1) RooRealVar:: alpha = -0.552312 +/- 0.217217 2) RooRealVar:: f1 = 0.442932 +/- 0.0174621 3) RooRealVar:: f2 = 0.205563 +/- 0.0162359 4) RooRealVar:: NLL = 8824.86 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.519582 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.414778 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217296 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.217217 10) RooRealVar:: alphapull = -0.150677 11) RooRealVar:: f1err = 0.0174621 12) RooRealVar:: f1pull = 1.61233 13) RooRealVar:: f2err = 0.0162359 14) RooRealVar:: f2pull = -0.722678 RooFitResult: minimized FCN value: 8824.86, estimated distance to minimum: 4.11787e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.5231e-01 +/- 2.17e-01 f1 4.0000e-01 4.4293e-01 +/- 1.75e-02 f2 2.0000e-01 2.0556e-01 +/- 1.62e-02 N TOY = 96 1) RooRealVar:: alpha = 0.986568 +/- 0.295141 2) RooRealVar:: f1 = 0.4648 +/- 0.017126 3) RooRealVar:: f2 = 0.223606 +/- 0.0147271 4) RooRealVar:: NLL = 8786.41 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.27552 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.489321 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.230619 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.295141 10) RooRealVar:: alphapull = -0.979039 11) RooRealVar:: f1err = 0.017126 12) RooRealVar:: f1pull = -1.4318 13) RooRealVar:: f2err = 0.0147271 14) RooRealVar:: f2pull = -0.476178 RooFitResult: minimized FCN value: 8786.41, estimated distance to minimum: 9.9974e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.8657e-01 +/- 2.95e-01 f1 4.0000e-01 4.6480e-01 +/- 1.71e-02 f2 2.0000e-01 2.2361e-01 +/- 1.47e-02 N TOY = 97 1) RooRealVar:: alpha = 0.327661 +/- 0.209695 2) RooRealVar:: f1 = 0.342489 +/- 0.0179193 3) RooRealVar:: f2 = 0.17335 +/- 0.0151197 4) RooRealVar:: NLL = 8957.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.360467 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.331366 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177927 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.209695 10) RooRealVar:: alphapull = -0.156444 11) RooRealVar:: f1err = 0.0179193 12) RooRealVar:: f1pull = 0.620738 13) RooRealVar:: f2err = 0.0151197 14) RooRealVar:: f2pull = -0.302682 RooFitResult: minimized FCN value: 8957.38, estimated distance to minimum: 1.31721e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.2766e-01 +/- 2.10e-01 f1 4.0000e-01 3.4249e-01 +/- 1.79e-02 f2 2.0000e-01 1.7335e-01 +/- 1.51e-02 N TOY = 98 1) RooRealVar:: alpha = -0.696902 +/- 0.294061 2) RooRealVar:: f1 = 0.489279 +/- 0.0170303 3) RooRealVar:: f2 = 0.284493 +/- 0.0161075 4) RooRealVar:: NLL = 8640.68 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.653058 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.510795 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.269524 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294061 10) RooRealVar:: alphapull = -0.149099 11) RooRealVar:: f1err = 0.0170303 12) RooRealVar:: f1pull = -1.26339 13) RooRealVar:: f2err = 0.0161075 14) RooRealVar:: f2pull = 0.929334 RooFitResult: minimized FCN value: 8640.68, estimated distance to minimum: 1.10123e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.9690e-01 +/- 2.94e-01 f1 4.0000e-01 4.8928e-01 +/- 1.70e-02 f2 2.0000e-01 2.8449e-01 +/- 1.61e-02 N TOY = 99 1) RooRealVar:: alpha = 1.33614 +/- 0.185687 2) RooRealVar:: f1 = 0.298842 +/- 0.0167898 3) RooRealVar:: f2 = 0.156788 +/- 0.013927 4) RooRealVar:: NLL = 8912.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.2514 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.286641 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.146876 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.185687 10) RooRealVar:: alphapull = 0.456371 11) RooRealVar:: f1err = 0.0167898 12) RooRealVar:: f1pull = 0.726649 13) RooRealVar:: f2err = 0.013927 14) RooRealVar:: f2pull = 0.711696 RooFitResult: minimized FCN value: 8912.56, estimated distance to minimum: 2.24752e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3361e+00 +/- 1.86e-01 f1 4.0000e-01 2.9884e-01 +/- 1.68e-02 f2 2.0000e-01 1.5679e-01 +/- 1.39e-02 N TOY = 100 1) RooRealVar:: alpha = -0.115504 +/- 0.169744 2) RooRealVar:: f1 = 0.348685 +/- 0.0174072 3) RooRealVar:: f2 = 0.16822 +/- 0.0156778 4) RooRealVar:: NLL = 8957.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0851979 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.361982 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.165021 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169744 10) RooRealVar:: alphapull = -0.178542 11) RooRealVar:: f1err = 0.0174072 12) RooRealVar:: f1pull = -0.763863 13) RooRealVar:: f2err = 0.0156778 14) RooRealVar:: f2pull = 0.204077 RooFitResult: minimized FCN value: 8957.52, estimated distance to minimum: 5.95327e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1550e-01 +/- 1.70e-01 f1 4.0000e-01 3.4869e-01 +/- 1.74e-02 f2 2.0000e-01 1.6822e-01 +/- 1.57e-02 N TOY = 101 1) RooRealVar:: alpha = -0.693951 +/- 0.150293 2) RooRealVar:: f1 = 0.241605 +/- 0.0177238 3) RooRealVar:: f2 = 0.147559 +/- 0.0169224 4) RooRealVar:: NLL = 9082.21 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.454763 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.228271 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.167285 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.150293 10) RooRealVar:: alphapull = -1.59148 11) RooRealVar:: f1err = 0.0177238 12) RooRealVar:: f1pull = 0.752329 13) RooRealVar:: f2err = 0.0169224 14) RooRealVar:: f2pull = -1.1657 RooFitResult: minimized FCN value: 9082.21, estimated distance to minimum: 5.09886e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.9395e-01 +/- 1.50e-01 f1 4.0000e-01 2.4161e-01 +/- 1.77e-02 f2 2.0000e-01 1.4756e-01 +/- 1.69e-02 N TOY = 102 1) RooRealVar:: alpha = 1.98143 +/- 0.220178 2) RooRealVar:: f1 = 0.373579 +/- 0.01639 3) RooRealVar:: f2 = 0.224126 +/- 0.013977 4) RooRealVar:: NLL = 8861.87 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.91123 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.404982 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.201305 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.220178 10) RooRealVar:: alphapull = 0.318809 11) RooRealVar:: f1err = 0.01639 12) RooRealVar:: f1pull = -1.91597 13) RooRealVar:: f2err = 0.013977 14) RooRealVar:: f2pull = 1.63274 RooFitResult: minimized FCN value: 8861.87, estimated distance to minimum: 6.85562e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9814e+00 +/- 2.20e-01 f1 4.0000e-01 3.7358e-01 +/- 1.64e-02 f2 2.0000e-01 2.2413e-01 +/- 1.40e-02 N TOY = 103 1) RooRealVar:: alpha = -1.0793 +/- 0.159781 2) RooRealVar:: f1 = 0.351729 +/- 0.0180234 3) RooRealVar:: f2 = 0.150888 +/- 0.0167373 4) RooRealVar:: NLL = 8977.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.01571 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.355193 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.142304 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.159781 10) RooRealVar:: alphapull = -0.397982 11) RooRealVar:: f1err = 0.0180234 12) RooRealVar:: f1pull = -0.192171 13) RooRealVar:: f2err = 0.0167373 14) RooRealVar:: f2pull = 0.512892 RooFitResult: minimized FCN value: 8977.07, estimated distance to minimum: 5.40021e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0793e+00 +/- 1.60e-01 f1 4.0000e-01 3.5173e-01 +/- 1.80e-02 f2 2.0000e-01 1.5089e-01 +/- 1.67e-02 N TOY = 104 1) RooRealVar:: alpha = 0.089274 +/- 0.217449 2) RooRealVar:: f1 = 0.364807 +/- 0.0182439 3) RooRealVar:: f2 = 0.170251 +/- 0.0154593 4) RooRealVar:: NLL = 8939.82 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.182347 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.344444 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.168674 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.217449 10) RooRealVar:: alphapull = -0.428025 11) RooRealVar:: f1err = 0.0182439 12) RooRealVar:: f1pull = 1.11612 13) RooRealVar:: f2err = 0.0154593 14) RooRealVar:: f2pull = 0.102024 RooFitResult: minimized FCN value: 8939.82, estimated distance to minimum: 8.43779e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.9274e-02 +/- 2.17e-01 f1 4.0000e-01 3.6481e-01 +/- 1.82e-02 f2 2.0000e-01 1.7025e-01 +/- 1.55e-02 N TOY = 105 1) RooRealVar:: alpha = -0.740815 +/- 0.207862 2) RooRealVar:: f1 = 0.451842 +/- 0.0175119 3) RooRealVar:: f2 = 0.197451 +/- 0.0163256 4) RooRealVar:: NLL = 8810.77 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.854114 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.463693 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209904 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.207862 10) RooRealVar:: alphapull = 0.545068 11) RooRealVar:: f1err = 0.0175119 12) RooRealVar:: f1pull = -0.676734 13) RooRealVar:: f2err = 0.0163256 14) RooRealVar:: f2pull = -0.762768 RooFitResult: minimized FCN value: 8810.77, estimated distance to minimum: 3.95987e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.4081e-01 +/- 2.08e-01 f1 4.0000e-01 4.5184e-01 +/- 1.75e-02 f2 2.0000e-01 1.9745e-01 +/- 1.63e-02 N TOY = 106 1) RooRealVar:: alpha = 0.547829 +/- 0.237429 2) RooRealVar:: f1 = 0.410824 +/- 0.0178239 3) RooRealVar:: f2 = 0.17703 +/- 0.0149398 4) RooRealVar:: NLL = 8877.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.856729 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.411364 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169428 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.237429 10) RooRealVar:: alphapull = -1.30102 11) RooRealVar:: f1err = 0.0178239 12) RooRealVar:: f1pull = -0.0302655 13) RooRealVar:: f2err = 0.0149398 14) RooRealVar:: f2pull = 0.50887 RooFitResult: minimized FCN value: 8877.96, estimated distance to minimum: 0.00012018 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.4783e-01 +/- 2.37e-01 f1 4.0000e-01 4.1082e-01 +/- 1.78e-02 f2 2.0000e-01 1.7703e-01 +/- 1.49e-02 N TOY = 107 1) RooRealVar:: alpha = -1.34863 +/- 0.219043 2) RooRealVar:: f1 = 0.506207 +/- 0.0171565 3) RooRealVar:: f2 = 0.200831 +/- 0.0164568 4) RooRealVar:: NLL = 8688.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.40788 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.538919 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184593 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.219043 10) RooRealVar:: alphapull = 0.270497 11) RooRealVar:: f1err = 0.0171565 12) RooRealVar:: f1pull = -1.90668 13) RooRealVar:: f2err = 0.0164568 14) RooRealVar:: f2pull = 0.98672 RooFitResult: minimized FCN value: 8688.28, estimated distance to minimum: 1.1575e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3486e+00 +/- 2.19e-01 f1 4.0000e-01 5.0621e-01 +/- 1.72e-02 f2 2.0000e-01 2.0083e-01 +/- 1.65e-02 N TOY = 108 1) RooRealVar:: alpha = -1.72848 +/- 0.151199 2) RooRealVar:: f1 = 0.346455 +/- 0.0184701 3) RooRealVar:: f2 = 0.164442 +/- 0.0174319 4) RooRealVar:: NLL = 8948.73 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.76938 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.352649 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.15074 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.151199 10) RooRealVar:: alphapull = 0.270504 11) RooRealVar:: f1err = 0.0184701 12) RooRealVar:: f1pull = -0.335354 13) RooRealVar:: f2err = 0.0174319 14) RooRealVar:: f2pull = 0.786051 RooFitResult: minimized FCN value: 8948.73, estimated distance to minimum: 2.57372e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7285e+00 +/- 1.51e-01 f1 4.0000e-01 3.4646e-01 +/- 1.85e-02 f2 2.0000e-01 1.6444e-01 +/- 1.74e-02 N TOY = 109 1) RooRealVar:: alpha = -1.01659 +/- 0.166056 2) RooRealVar:: f1 = 0.307081 +/- 0.0178683 3) RooRealVar:: f2 = 0.190776 +/- 0.0172711 4) RooRealVar:: NLL = 9006.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.729379 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.293586 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.221023 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.166056 10) RooRealVar:: alphapull = -1.72963 11) RooRealVar:: f1err = 0.0178683 12) RooRealVar:: f1pull = 0.755298 13) RooRealVar:: f2err = 0.0172711 14) RooRealVar:: f2pull = -1.7513 RooFitResult: minimized FCN value: 9006.2, estimated distance to minimum: 2.60477e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0166e+00 +/- 1.66e-01 f1 4.0000e-01 3.0708e-01 +/- 1.79e-02 f2 2.0000e-01 1.9078e-01 +/- 1.73e-02 N TOY = 110 1) RooRealVar:: alpha = -0.645639 +/- 0.188805 2) RooRealVar:: f1 = 0.354104 +/- 0.0178427 3) RooRealVar:: f2 = 0.195654 +/- 0.0167552 4) RooRealVar:: NLL = 8954.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.652125 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363208 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211725 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.188805 10) RooRealVar:: alphapull = 0.03435 11) RooRealVar:: f1err = 0.0178427 12) RooRealVar:: f1pull = -0.51029 13) RooRealVar:: f2err = 0.0167552 14) RooRealVar:: f2pull = -0.959171 RooFitResult: minimized FCN value: 8954.06, estimated distance to minimum: 6.96007e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.4564e-01 +/- 1.89e-01 f1 4.0000e-01 3.5410e-01 +/- 1.78e-02 f2 2.0000e-01 1.9565e-01 +/- 1.68e-02 N TOY = 111 1) RooRealVar:: alpha = -0.813055 +/- 0.195826 2) RooRealVar:: f1 = 0.356817 +/- 0.0178629 3) RooRealVar:: f2 = 0.224685 +/- 0.0169918 4) RooRealVar:: NLL = 8927.68 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.891539 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.37534 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.199072 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195826 10) RooRealVar:: alphapull = 0.400783 11) RooRealVar:: f1err = 0.0178629 12) RooRealVar:: f1pull = -1.03692 13) RooRealVar:: f2err = 0.0169918 14) RooRealVar:: f2pull = 1.5074 RooFitResult: minimized FCN value: 8927.68, estimated distance to minimum: 8.25765e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.1305e-01 +/- 1.96e-01 f1 4.0000e-01 3.5682e-01 +/- 1.79e-02 f2 2.0000e-01 2.2469e-01 +/- 1.70e-02 N TOY = 112 1) RooRealVar:: alpha = 1.01321 +/- 0.204747 2) RooRealVar:: f1 = 0.342331 +/- 0.0172748 3) RooRealVar:: f2 = 0.171066 +/- 0.0143335 4) RooRealVar:: NLL = 8919.34 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.18612 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.357691 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.164254 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.204747 10) RooRealVar:: alphapull = -0.844497 11) RooRealVar:: f1err = 0.0172748 12) RooRealVar:: f1pull = -0.889175 13) RooRealVar:: f2err = 0.0143335 14) RooRealVar:: f2pull = 0.475242 RooFitResult: minimized FCN value: 8919.34, estimated distance to minimum: 0.00010537 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0132e+00 +/- 2.05e-01 f1 4.0000e-01 3.4233e-01 +/- 1.73e-02 f2 2.0000e-01 1.7107e-01 +/- 1.43e-02 N TOY = 113 1) RooRealVar:: alpha = 1.18307 +/- 0.287447 2) RooRealVar:: f1 = 0.562223 +/- 0.0163802 3) RooRealVar:: f2 = 0.146691 +/- 0.0135621 4) RooRealVar:: NLL = 8654.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.1164 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.554415 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.161386 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.287447 10) RooRealVar:: alphapull = 0.231967 11) RooRealVar:: f1err = 0.0163802 12) RooRealVar:: f1pull = 0.476654 13) RooRealVar:: f2err = 0.0135621 14) RooRealVar:: f2pull = -1.08357 RooFitResult: minimized FCN value: 8654.15, estimated distance to minimum: 2.34545e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1831e+00 +/- 2.87e-01 f1 4.0000e-01 5.6222e-01 +/- 1.64e-02 f2 2.0000e-01 1.4669e-01 +/- 1.36e-02 N TOY = 114 1) RooRealVar:: alpha = 1.73474 +/- 0.201735 2) RooRealVar:: f1 = 0.29227 +/- 0.0165248 3) RooRealVar:: f2 = 0.204923 +/- 0.0141253 4) RooRealVar:: NLL = 8913.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.52838 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.26424 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.220912 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.201735 10) RooRealVar:: alphapull = 1.0229 11) RooRealVar:: f1err = 0.0165248 12) RooRealVar:: f1pull = 1.69623 13) RooRealVar:: f2err = 0.0141253 14) RooRealVar:: f2pull = -1.13195 RooFitResult: minimized FCN value: 8913.51, estimated distance to minimum: 2.76169e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7347e+00 +/- 2.02e-01 f1 4.0000e-01 2.9227e-01 +/- 1.65e-02 f2 2.0000e-01 2.0492e-01 +/- 1.41e-02 N TOY = 115 1) RooRealVar:: alpha = 0.802226 +/- 0.216284 2) RooRealVar:: f1 = 0.383896 +/- 0.0173498 3) RooRealVar:: f2 = 0.165933 +/- 0.0144649 4) RooRealVar:: NLL = 8891.01 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.886709 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.392308 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.171811 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216284 10) RooRealVar:: alphapull = -0.390613 11) RooRealVar:: f1err = 0.0173498 12) RooRealVar:: f1pull = -0.484857 13) RooRealVar:: f2err = 0.0144649 14) RooRealVar:: f2pull = -0.40635 RooFitResult: minimized FCN value: 8891.01, estimated distance to minimum: 8.95009e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.0223e-01 +/- 2.16e-01 f1 4.0000e-01 3.8390e-01 +/- 1.73e-02 f2 2.0000e-01 1.6593e-01 +/- 1.45e-02 N TOY = 116 1) RooRealVar:: alpha = -0.338065 +/- 0.195725 2) RooRealVar:: f1 = 0.360912 +/- 0.0173978 3) RooRealVar:: f2 = 0.224252 +/- 0.0162639 4) RooRealVar:: NLL = 8921.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.130636 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.397885 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.206575 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195725 10) RooRealVar:: alphapull = -1.0598 11) RooRealVar:: f1err = 0.0173978 12) RooRealVar:: f1pull = -2.12515 13) RooRealVar:: f2err = 0.0162639 14) RooRealVar:: f2pull = 1.08688 RooFitResult: minimized FCN value: 8921.95, estimated distance to minimum: 2.01861e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.3807e-01 +/- 1.96e-01 f1 4.0000e-01 3.6091e-01 +/- 1.74e-02 f2 2.0000e-01 2.2425e-01 +/- 1.63e-02 N TOY = 117 1) RooRealVar:: alpha = -0.422597 +/- 0.201592 2) RooRealVar:: f1 = 0.417718 +/- 0.0174163 3) RooRealVar:: f2 = 0.199529 +/- 0.0160439 4) RooRealVar:: NLL = 8862.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.288407 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.412546 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.205742 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.201592 10) RooRealVar:: alphapull = -0.665653 11) RooRealVar:: f1err = 0.0174163 12) RooRealVar:: f1pull = 0.296933 13) RooRealVar:: f2err = 0.0160439 14) RooRealVar:: f2pull = -0.387269 RooFitResult: minimized FCN value: 8862.95, estimated distance to minimum: 2.59303e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.2260e-01 +/- 2.02e-01 f1 4.0000e-01 4.1772e-01 +/- 1.74e-02 f2 2.0000e-01 1.9953e-01 +/- 1.60e-02 N TOY = 118 1) RooRealVar:: alpha = -0.798981 +/- 0.163151 2) RooRealVar:: f1 = 0.290075 +/- 0.0177968 3) RooRealVar:: f2 = 0.182406 +/- 0.016818 4) RooRealVar:: NLL = 9030.75 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.768866 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.251993 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.186328 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.163151 10) RooRealVar:: alphapull = -0.184582 11) RooRealVar:: f1err = 0.0177968 12) RooRealVar:: f1pull = 2.13979 13) RooRealVar:: f2err = 0.016818 14) RooRealVar:: f2pull = -0.233216 RooFitResult: minimized FCN value: 9030.75, estimated distance to minimum: 1.23366e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.9898e-01 +/- 1.63e-01 f1 4.0000e-01 2.9007e-01 +/- 1.78e-02 f2 2.0000e-01 1.8241e-01 +/- 1.68e-02 N TOY = 119 1) RooRealVar:: alpha = 1.40838 +/- 0.214243 2) RooRealVar:: f1 = 0.364451 +/- 0.016673 3) RooRealVar:: f2 = 0.178801 +/- 0.0140072 4) RooRealVar:: NLL = 8883.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.15654 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.362571 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.15243 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.214243 10) RooRealVar:: alphapull = 1.17549 11) RooRealVar:: f1err = 0.016673 12) RooRealVar:: f1pull = 0.112764 13) RooRealVar:: f2err = 0.0140072 14) RooRealVar:: f2pull = 1.88271 RooFitResult: minimized FCN value: 8883.47, estimated distance to minimum: 2.44648e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4084e+00 +/- 2.14e-01 f1 4.0000e-01 3.6445e-01 +/- 1.67e-02 f2 2.0000e-01 1.7880e-01 +/- 1.40e-02 N TOY = 120 1) RooRealVar:: alpha = -0.969478 +/- 0.181828 2) RooRealVar:: f1 = 0.350369 +/- 0.0178856 3) RooRealVar:: f2 = 0.215684 +/- 0.0169559 4) RooRealVar:: NLL = 8933.26 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.14593 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.346937 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.202361 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.181828 10) RooRealVar:: alphapull = 0.970431 11) RooRealVar:: f1err = 0.0178856 12) RooRealVar:: f1pull = 0.191896 13) RooRealVar:: f2err = 0.0169559 14) RooRealVar:: f2pull = 0.785746 RooFitResult: minimized FCN value: 8933.26, estimated distance to minimum: 1.12356e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.6948e-01 +/- 1.82e-01 f1 4.0000e-01 3.5037e-01 +/- 1.79e-02 f2 2.0000e-01 2.1568e-01 +/- 1.70e-02 N TOY = 121 1) RooRealVar:: alpha = 0.605725 +/- 0.264069 2) RooRealVar:: f1 = 0.499651 +/- 0.0171897 3) RooRealVar:: f2 = 0.175934 +/- 0.0141251 4) RooRealVar:: NLL = 8752.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.711511 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.496901 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.164317 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.264069 10) RooRealVar:: alphapull = -0.400599 11) RooRealVar:: f1err = 0.0171897 12) RooRealVar:: f1pull = 0.159978 13) RooRealVar:: f2err = 0.0141251 14) RooRealVar:: f2pull = 0.822393 RooFitResult: minimized FCN value: 8752.28, estimated distance to minimum: 4.77292e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.0573e-01 +/- 2.64e-01 f1 4.0000e-01 4.9965e-01 +/- 1.72e-02 f2 2.0000e-01 1.7593e-01 +/- 1.41e-02 N TOY = 122 1) RooRealVar:: alpha = 0.157293 +/- 0.221583 2) RooRealVar:: f1 = 0.32131 +/- 0.0181573 3) RooRealVar:: f2 = 0.177217 +/- 0.0156431 4) RooRealVar:: NLL = 8980.68 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.542907 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.347012 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181448 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.221583 10) RooRealVar:: alphapull = -1.74027 11) RooRealVar:: f1err = 0.0181573 12) RooRealVar:: f1pull = -1.41554 13) RooRealVar:: f2err = 0.0156431 14) RooRealVar:: f2pull = -0.270517 RooFitResult: minimized FCN value: 8980.68, estimated distance to minimum: 5.72304e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5729e-01 +/- 2.22e-01 f1 4.0000e-01 3.2131e-01 +/- 1.82e-02 f2 2.0000e-01 1.7722e-01 +/- 1.56e-02 N TOY = 123 1) RooRealVar:: alpha = -0.306065 +/- 0.242916 2) RooRealVar:: f1 = 0.462296 +/- 0.0172966 3) RooRealVar:: f2 = 0.216675 +/- 0.0159711 4) RooRealVar:: NLL = 8785.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.281456 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.440076 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.246503 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242916 10) RooRealVar:: alphapull = -0.101309 11) RooRealVar:: f1err = 0.0172966 12) RooRealVar:: f1pull = 1.28468 13) RooRealVar:: f2err = 0.0159711 14) RooRealVar:: f2pull = -1.86764 RooFitResult: minimized FCN value: 8785.11, estimated distance to minimum: 8.78917e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.0607e-01 +/- 2.43e-01 f1 4.0000e-01 4.6230e-01 +/- 1.73e-02 f2 2.0000e-01 2.1667e-01 +/- 1.60e-02 N TOY = 124 1) RooRealVar:: alpha = 0.720898 +/- 0.282042 2) RooRealVar:: f1 = 0.411821 +/- 0.0175563 3) RooRealVar:: f2 = 0.239496 +/- 0.0150882 4) RooRealVar:: NLL = 8852.41 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.792209 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.416664 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.236042 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.282042 10) RooRealVar:: alphapull = -0.252837 11) RooRealVar:: f1err = 0.0175563 12) RooRealVar:: f1pull = -0.275882 13) RooRealVar:: f2err = 0.0150882 14) RooRealVar:: f2pull = 0.228937 RooFitResult: minimized FCN value: 8852.41, estimated distance to minimum: 1.60311e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.2090e-01 +/- 2.82e-01 f1 4.0000e-01 4.1182e-01 +/- 1.76e-02 f2 2.0000e-01 2.3950e-01 +/- 1.51e-02 N TOY = 125 1) RooRealVar:: alpha = 0.206927 +/- 0.293661 2) RooRealVar:: f1 = 0.47824 +/- 0.0173975 3) RooRealVar:: f2 = 0.225965 +/- 0.0151972 4) RooRealVar:: NLL = 8757.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.230376 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.461065 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.240793 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.293661 10) RooRealVar:: alphapull = -0.0798504 11) RooRealVar:: f1err = 0.0173975 12) RooRealVar:: f1pull = 0.987177 13) RooRealVar:: f2err = 0.0151972 14) RooRealVar:: f2pull = -0.975729 RooFitResult: minimized FCN value: 8757.62, estimated distance to minimum: 5.7565e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.0693e-01 +/- 2.94e-01 f1 4.0000e-01 4.7824e-01 +/- 1.74e-02 f2 2.0000e-01 2.2597e-01 +/- 1.52e-02 N TOY = 126 1) RooRealVar:: alpha = -2.10393 +/- 0.21607 2) RooRealVar:: f1 = 0.517736 +/- 0.0176671 3) RooRealVar:: f2 = 0.221049 +/- 0.0172471 4) RooRealVar:: NLL = 8601.03 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.33466 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.520613 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.200771 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.21607 10) RooRealVar:: alphapull = 1.06783 11) RooRealVar:: f1err = 0.0176671 12) RooRealVar:: f1pull = -0.162837 13) RooRealVar:: f2err = 0.0172471 14) RooRealVar:: f2pull = 1.17575 RooFitResult: minimized FCN value: 8601.03, estimated distance to minimum: 6.98637e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1039e+00 +/- 2.16e-01 f1 4.0000e-01 5.1774e-01 +/- 1.77e-02 f2 2.0000e-01 2.2105e-01 +/- 1.72e-02 N TOY = 127 1) RooRealVar:: alpha = 0.73513 +/- 0.238234 2) RooRealVar:: f1 = 0.357486 +/- 0.0176701 3) RooRealVar:: f2 = 0.202055 +/- 0.0150206 4) RooRealVar:: NLL = 8924.32 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.599329 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.323452 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21655 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238234 10) RooRealVar:: alphapull = 0.570031 11) RooRealVar:: f1err = 0.0176701 12) RooRealVar:: f1pull = 1.9261 13) RooRealVar:: f2err = 0.0150206 14) RooRealVar:: f2pull = -0.964966 RooFitResult: minimized FCN value: 8924.32, estimated distance to minimum: 2.19527e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.3513e-01 +/- 2.38e-01 f1 4.0000e-01 3.5749e-01 +/- 1.77e-02 f2 2.0000e-01 2.0206e-01 +/- 1.50e-02 N TOY = 128 1) RooRealVar:: alpha = 0.682203 +/- 0.341256 2) RooRealVar:: f1 = 0.529256 +/- 0.0170926 3) RooRealVar:: f2 = 0.216671 +/- 0.014666 4) RooRealVar:: NLL = 8683.36 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.822704 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.535606 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232895 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.341256 10) RooRealVar:: alphapull = -0.411718 11) RooRealVar:: f1err = 0.0170926 12) RooRealVar:: f1pull = -0.371496 13) RooRealVar:: f2err = 0.014666 14) RooRealVar:: f2pull = -1.10622 RooFitResult: minimized FCN value: 8683.36, estimated distance to minimum: 8.83534e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.8220e-01 +/- 3.41e-01 f1 4.0000e-01 5.2926e-01 +/- 1.71e-02 f2 2.0000e-01 2.1667e-01 +/- 1.47e-02 N TOY = 129 1) RooRealVar:: alpha = -0.319236 +/- 0.226319 2) RooRealVar:: f1 = 0.45645 +/- 0.0170803 3) RooRealVar:: f2 = 0.204559 +/- 0.0160935 4) RooRealVar:: NLL = 8806.61 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.668204 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.485866 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184272 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226319 10) RooRealVar:: alphapull = 1.54193 11) RooRealVar:: f1err = 0.0170803 12) RooRealVar:: f1pull = -1.72221 13) RooRealVar:: f2err = 0.0160935 14) RooRealVar:: f2pull = 1.26056 RooFitResult: minimized FCN value: 8806.61, estimated distance to minimum: 2.06773e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.1924e-01 +/- 2.26e-01 f1 4.0000e-01 4.5645e-01 +/- 1.71e-02 f2 2.0000e-01 2.0456e-01 +/- 1.61e-02 N TOY = 130 1) RooRealVar:: alpha = -0.235681 +/- 0.168447 2) RooRealVar:: f1 = 0.151778 +/- 0.0169624 3) RooRealVar:: f2 = 0.265926 +/- 0.0173763 4) RooRealVar:: NLL = 9076.41 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.306171 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.163103 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.28443 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.168447 10) RooRealVar:: alphapull = 0.418469 11) RooRealVar:: f1err = 0.0169624 12) RooRealVar:: f1pull = -0.667626 13) RooRealVar:: f2err = 0.0173763 14) RooRealVar:: f2pull = -1.06488 RooFitResult: minimized FCN value: 9076.41, estimated distance to minimum: 2.10073e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.3568e-01 +/- 1.68e-01 f1 4.0000e-01 1.5178e-01 +/- 1.70e-02 f2 2.0000e-01 2.6593e-01 +/- 1.74e-02 N TOY = 131 1) RooRealVar:: alpha = -0.425015 +/- 0.236534 2) RooRealVar:: f1 = 0.40492 +/- 0.0173106 3) RooRealVar:: f2 = 0.272394 +/- 0.0164168 4) RooRealVar:: NLL = 8822.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.450895 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.404914 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.262713 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.236534 10) RooRealVar:: alphapull = 0.109413 11) RooRealVar:: f1err = 0.0173106 12) RooRealVar:: f1pull = 0.000338599 13) RooRealVar:: f2err = 0.0164168 14) RooRealVar:: f2pull = 0.589705 RooFitResult: minimized FCN value: 8822.56, estimated distance to minimum: 6.19283e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.2501e-01 +/- 2.37e-01 f1 4.0000e-01 4.0492e-01 +/- 1.73e-02 f2 2.0000e-01 2.7239e-01 +/- 1.64e-02 N TOY = 132 1) RooRealVar:: alpha = 0.906786 +/- 0.215801 2) RooRealVar:: f1 = 0.353114 +/- 0.0173127 3) RooRealVar:: f2 = 0.179156 +/- 0.0146185 4) RooRealVar:: NLL = 8920.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.698894 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.369516 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169834 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215801 10) RooRealVar:: alphapull = 0.963349 11) RooRealVar:: f1err = 0.0173127 12) RooRealVar:: f1pull = -0.947349 13) RooRealVar:: f2err = 0.0146185 14) RooRealVar:: f2pull = 0.63767 RooFitResult: minimized FCN value: 8920.8, estimated distance to minimum: 3.70565e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.0679e-01 +/- 2.16e-01 f1 4.0000e-01 3.5311e-01 +/- 1.73e-02 f2 2.0000e-01 1.7916e-01 +/- 1.46e-02 N TOY = 133 1) RooRealVar:: alpha = 0.0566291 +/- 0.230485 2) RooRealVar:: f1 = 0.351137 +/- 0.0181677 3) RooRealVar:: f2 = 0.225492 +/- 0.015671 4) RooRealVar:: NLL = 8937.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.240219 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.349114 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219133 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.230485 10) RooRealVar:: alphapull = 1.28793 11) RooRealVar:: f1err = 0.0181677 12) RooRealVar:: f1pull = 0.111329 13) RooRealVar:: f2err = 0.015671 14) RooRealVar:: f2pull = 0.405731 RooFitResult: minimized FCN value: 8937.33, estimated distance to minimum: 2.93081e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.6629e-02 +/- 2.30e-01 f1 4.0000e-01 3.5114e-01 +/- 1.82e-02 f2 2.0000e-01 2.2549e-01 +/- 1.57e-02 N TOY = 134 1) RooRealVar:: alpha = 0.177714 +/- 0.258915 2) RooRealVar:: f1 = 0.442255 +/- 0.0176893 3) RooRealVar:: f2 = 0.203098 +/- 0.0152082 4) RooRealVar:: NLL = 8831.85 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0349913 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.446144 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.182933 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.258915 10) RooRealVar:: alphapull = 0.821528 11) RooRealVar:: f1err = 0.0176893 12) RooRealVar:: f1pull = -0.219861 13) RooRealVar:: f2err = 0.0152082 14) RooRealVar:: f2pull = 1.32595 RooFitResult: minimized FCN value: 8831.85, estimated distance to minimum: 2.65083e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7771e-01 +/- 2.59e-01 f1 4.0000e-01 4.4226e-01 +/- 1.77e-02 f2 2.0000e-01 2.0310e-01 +/- 1.52e-02 N TOY = 135 1) RooRealVar:: alpha = -1.14756 +/- 0.154648 2) RooRealVar:: f1 = 0.273027 +/- 0.018038 3) RooRealVar:: f2 = 0.199506 +/- 0.0172248 4) RooRealVar:: NLL = 9030.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.24336 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.308494 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.159469 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.154648 10) RooRealVar:: alphapull = 0.619423 11) RooRealVar:: f1err = 0.018038 12) RooRealVar:: f1pull = -1.96624 13) RooRealVar:: f2err = 0.0172248 14) RooRealVar:: f2pull = 2.32435 RooFitResult: minimized FCN value: 9030.69, estimated distance to minimum: 5.11598e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1476e+00 +/- 1.55e-01 f1 4.0000e-01 2.7303e-01 +/- 1.80e-02 f2 2.0000e-01 1.9951e-01 +/- 1.72e-02 N TOY = 136 1) RooRealVar:: alpha = -1.28989 +/- 0.156559 2) RooRealVar:: f1 = 0.311449 +/- 0.0183542 3) RooRealVar:: f2 = 0.171151 +/- 0.0172098 4) RooRealVar:: NLL = 9009.05 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.27215 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.31476 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.17296 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.156559 10) RooRealVar:: alphapull = -0.11332 11) RooRealVar:: f1err = 0.0183542 12) RooRealVar:: f1pull = -0.180386 13) RooRealVar:: f2err = 0.0172098 14) RooRealVar:: f2pull = -0.105082 RooFitResult: minimized FCN value: 9009.05, estimated distance to minimum: 2.04788e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2899e+00 +/- 1.57e-01 f1 4.0000e-01 3.1145e-01 +/- 1.84e-02 f2 2.0000e-01 1.7115e-01 +/- 1.72e-02 N TOY = 137 1) RooRealVar:: alpha = -0.487256 +/- 0.240738 2) RooRealVar:: f1 = 0.472731 +/- 0.0172054 3) RooRealVar:: f2 = 0.227232 +/- 0.0161978 4) RooRealVar:: NLL = 8757.27 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.5908 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.458367 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.20947 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240738 10) RooRealVar:: alphapull = 0.430109 11) RooRealVar:: f1err = 0.0172054 12) RooRealVar:: f1pull = 0.834873 13) RooRealVar:: f2err = 0.0161978 14) RooRealVar:: f2pull = 1.09658 RooFitResult: minimized FCN value: 8757.27, estimated distance to minimum: 2.32885e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.8726e-01 +/- 2.41e-01 f1 4.0000e-01 4.7273e-01 +/- 1.72e-02 f2 2.0000e-01 2.2723e-01 +/- 1.62e-02 N TOY = 138 1) RooRealVar:: alpha = -0.795027 +/- 0.266373 2) RooRealVar:: f1 = 0.486914 +/- 0.0171341 3) RooRealVar:: f2 = 0.263414 +/- 0.0162132 4) RooRealVar:: NLL = 8672.23 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.592067 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.503555 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.267452 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.266373 10) RooRealVar:: alphapull = -0.76194 11) RooRealVar:: f1err = 0.0171341 12) RooRealVar:: f1pull = -0.971259 13) RooRealVar:: f2err = 0.0162132 14) RooRealVar:: f2pull = -0.249087 RooFitResult: minimized FCN value: 8672.23, estimated distance to minimum: 2.90551e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.9503e-01 +/- 2.66e-01 f1 4.0000e-01 4.8691e-01 +/- 1.71e-02 f2 2.0000e-01 2.6341e-01 +/- 1.62e-02 N TOY = 139 1) RooRealVar:: alpha = 0.160301 +/- 0.225778 2) RooRealVar:: f1 = 0.384702 +/- 0.0181839 3) RooRealVar:: f2 = 0.186164 +/- 0.0150653 4) RooRealVar:: NLL = 8909.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.190455 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363169 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211537 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.225778 10) RooRealVar:: alphapull = -0.133559 11) RooRealVar:: f1err = 0.0181839 12) RooRealVar:: f1pull = 1.1842 13) RooRealVar:: f2err = 0.0150653 14) RooRealVar:: f2pull = -1.68418 RooFitResult: minimized FCN value: 8909.17, estimated distance to minimum: 6.09412e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6030e-01 +/- 2.26e-01 f1 4.0000e-01 3.8470e-01 +/- 1.82e-02 f2 2.0000e-01 1.8616e-01 +/- 1.51e-02 N TOY = 140 1) RooRealVar:: alpha = -1.42532 +/- 0.227528 2) RooRealVar:: f1 = 0.485519 +/- 0.017585 3) RooRealVar:: f2 = 0.228592 +/- 0.016888 4) RooRealVar:: NLL = 8691.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.37226 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.496502 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.235563 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.227528 10) RooRealVar:: alphapull = -0.233191 11) RooRealVar:: f1err = 0.017585 12) RooRealVar:: f1pull = -0.624603 13) RooRealVar:: f2err = 0.016888 14) RooRealVar:: f2pull = -0.41282 RooFitResult: minimized FCN value: 8691.46, estimated distance to minimum: 0.000100611 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4253e+00 +/- 2.28e-01 f1 4.0000e-01 4.8552e-01 +/- 1.76e-02 f2 2.0000e-01 2.2859e-01 +/- 1.69e-02 N TOY = 141 1) RooRealVar:: alpha = 1.94804 +/- 0.182404 2) RooRealVar:: f1 = 0.401983 +/- 0.0163297 3) RooRealVar:: f2 = 0.161794 +/- 0.013036 4) RooRealVar:: NLL = 8828.04 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.89144 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.42192 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.136273 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.182404 10) RooRealVar:: alphapull = 0.310287 11) RooRealVar:: f1err = 0.0163297 12) RooRealVar:: f1pull = -1.22094 13) RooRealVar:: f2err = 0.013036 14) RooRealVar:: f2pull = 1.95777 RooFitResult: minimized FCN value: 8828.04, estimated distance to minimum: 3.94177e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9480e+00 +/- 1.82e-01 f1 4.0000e-01 4.0198e-01 +/- 1.63e-02 f2 2.0000e-01 1.6179e-01 +/- 1.30e-02 N TOY = 142 1) RooRealVar:: alpha = 1.38864 +/- 0.234521 2) RooRealVar:: f1 = 0.380007 +/- 0.0167225 3) RooRealVar:: f2 = 0.223214 +/- 0.0143692 4) RooRealVar:: NLL = 8874.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.16767 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394413 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.216142 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.234521 10) RooRealVar:: alphapull = 0.942211 11) RooRealVar:: f1err = 0.0167225 12) RooRealVar:: f1pull = -0.861429 13) RooRealVar:: f2err = 0.0143692 14) RooRealVar:: f2pull = 0.492153 RooFitResult: minimized FCN value: 8874.93, estimated distance to minimum: 2.85234e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3886e+00 +/- 2.35e-01 f1 4.0000e-01 3.8001e-01 +/- 1.67e-02 f2 2.0000e-01 2.2321e-01 +/- 1.44e-02 N TOY = 143 1) RooRealVar:: alpha = 0.241323 +/- 0.287385 2) RooRealVar:: f1 = 0.356931 +/- 0.0179621 3) RooRealVar:: f2 = 0.297413 +/- 0.015826 4) RooRealVar:: NLL = 8879.08 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0595812 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.329747 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.30063 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.287385 10) RooRealVar:: alphapull = 0.632399 11) RooRealVar:: f1err = 0.0179621 12) RooRealVar:: f1pull = 1.5134 13) RooRealVar:: f2err = 0.015826 14) RooRealVar:: f2pull = -0.203237 RooFitResult: minimized FCN value: 8879.08, estimated distance to minimum: 1.28575e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.4132e-01 +/- 2.87e-01 f1 4.0000e-01 3.5693e-01 +/- 1.80e-02 f2 2.0000e-01 2.9741e-01 +/- 1.58e-02 N TOY = 144 1) RooRealVar:: alpha = 0.395843 +/- 0.25261 2) RooRealVar:: f1 = 0.453059 +/- 0.0176886 3) RooRealVar:: f2 = 0.176255 +/- 0.0149248 4) RooRealVar:: NLL = 8829.67 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.260062 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.441008 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.173077 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.25261 10) RooRealVar:: alphapull = 0.537511 11) RooRealVar:: f1err = 0.0176886 12) RooRealVar:: f1pull = 0.681254 13) RooRealVar:: f2err = 0.0149248 14) RooRealVar:: f2pull = 0.212905 RooFitResult: minimized FCN value: 8829.67, estimated distance to minimum: 4.8521e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.9584e-01 +/- 2.53e-01 f1 4.0000e-01 4.5306e-01 +/- 1.77e-02 f2 2.0000e-01 1.7625e-01 +/- 1.49e-02 N TOY = 145 1) RooRealVar:: alpha = 1.5457 +/- 0.216609 2) RooRealVar:: f1 = 0.366581 +/- 0.0167408 3) RooRealVar:: f2 = 0.194435 +/- 0.0138863 4) RooRealVar:: NLL = 8884.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.51007 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.334811 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.205187 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216609 10) RooRealVar:: alphapull = 0.164524 11) RooRealVar:: f1err = 0.0167408 12) RooRealVar:: f1pull = 1.89779 13) RooRealVar:: f2err = 0.0138863 14) RooRealVar:: f2pull = -0.774283 RooFitResult: minimized FCN value: 8884.15, estimated distance to minimum: 1.88703e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5457e+00 +/- 2.17e-01 f1 4.0000e-01 3.6658e-01 +/- 1.67e-02 f2 2.0000e-01 1.9444e-01 +/- 1.39e-02 N TOY = 146 1) RooRealVar:: alpha = -0.890741 +/- 0.142514 2) RooRealVar:: f1 = 0.270104 +/- 0.0179315 3) RooRealVar:: f2 = 0.124595 +/- 0.0164952 4) RooRealVar:: NLL = 9068.35 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.939998 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.286829 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.120881 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.142514 10) RooRealVar:: alphapull = 0.345629 11) RooRealVar:: f1err = 0.0179315 12) RooRealVar:: f1pull = -0.932739 13) RooRealVar:: f2err = 0.0164952 14) RooRealVar:: f2pull = 0.225191 RooFitResult: minimized FCN value: 9068.35, estimated distance to minimum: 3.77019e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.9074e-01 +/- 1.43e-01 f1 4.0000e-01 2.7010e-01 +/- 1.79e-02 f2 2.0000e-01 1.2460e-01 +/- 1.65e-02 N TOY = 147 1) RooRealVar:: alpha = -0.390462 +/- 0.165271 2) RooRealVar:: f1 = 0.32859 +/- 0.0176253 3) RooRealVar:: f2 = 0.16457 +/- 0.0162258 4) RooRealVar:: NLL = 8991.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.492186 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.372074 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.149875 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.165271 10) RooRealVar:: alphapull = 0.615499 11) RooRealVar:: f1err = 0.0176253 12) RooRealVar:: f1pull = -2.46712 13) RooRealVar:: f2err = 0.0162258 14) RooRealVar:: f2pull = 0.905679 RooFitResult: minimized FCN value: 8991.47, estimated distance to minimum: 2.88563e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.9046e-01 +/- 1.65e-01 f1 4.0000e-01 3.2859e-01 +/- 1.76e-02 f2 2.0000e-01 1.6457e-01 +/- 1.62e-02 N TOY = 148 1) RooRealVar:: alpha = -1.61541 +/- 0.169491 2) RooRealVar:: f1 = 0.36668 +/- 0.0180111 3) RooRealVar:: f2 = 0.212805 +/- 0.0174124 4) RooRealVar:: NLL = 8888.08 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.71289 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.347067 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.243745 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169491 10) RooRealVar:: alphapull = 0.5751 11) RooRealVar:: f1err = 0.0180111 12) RooRealVar:: f1pull = 1.08896 13) RooRealVar:: f2err = 0.0174124 14) RooRealVar:: f2pull = -1.77687 RooFitResult: minimized FCN value: 8888.08, estimated distance to minimum: 4.23404e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6154e+00 +/- 1.69e-01 f1 4.0000e-01 3.6668e-01 +/- 1.80e-02 f2 2.0000e-01 2.1281e-01 +/- 1.74e-02 N TOY = 149 1) RooRealVar:: alpha = -0.508398 +/- 0.162455 2) RooRealVar:: f1 = 0.338454 +/- 0.0175608 3) RooRealVar:: f2 = 0.132063 +/- 0.0162429 4) RooRealVar:: NLL = 8993.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.5048 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.3508 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.147744 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.162455 10) RooRealVar:: alphapull = -0.0221474 11) RooRealVar:: f1err = 0.0175608 12) RooRealVar:: f1pull = -0.70305 13) RooRealVar:: f2err = 0.0162429 14) RooRealVar:: f2pull = -0.965373 RooFitResult: minimized FCN value: 8993.93, estimated distance to minimum: 8.10087e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.0840e-01 +/- 1.62e-01 f1 4.0000e-01 3.3845e-01 +/- 1.76e-02 f2 2.0000e-01 1.3206e-01 +/- 1.62e-02 N TOY = 150 1) RooRealVar:: alpha = 1.89237 +/- 0.206663 2) RooRealVar:: f1 = 0.364532 +/- 0.0165408 3) RooRealVar:: f2 = 0.21575 +/- 0.0135709 4) RooRealVar:: NLL = 8874.58 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.69332 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.372207 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.200721 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.206663 10) RooRealVar:: alphapull = 0.963147 11) RooRealVar:: f1err = 0.0165408 12) RooRealVar:: f1pull = -0.464014 13) RooRealVar:: f2err = 0.0135709 14) RooRealVar:: f2pull = 1.10739 RooFitResult: minimized FCN value: 8874.58, estimated distance to minimum: 1.02969e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8924e+00 +/- 2.07e-01 f1 4.0000e-01 3.6453e-01 +/- 1.65e-02 f2 2.0000e-01 2.1575e-01 +/- 1.36e-02 N TOY = 151 1) RooRealVar:: alpha = 0.0762512 +/- 0.286785 2) RooRealVar:: f1 = 0.467347 +/- 0.0175897 3) RooRealVar:: f2 = 0.229699 +/- 0.0151402 4) RooRealVar:: NLL = 8765.83 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0294837 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.463311 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.221779 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.286785 10) RooRealVar:: alphapull = 0.368691 11) RooRealVar:: f1err = 0.0175897 12) RooRealVar:: f1pull = 0.229445 13) RooRealVar:: f2err = 0.0151402 14) RooRealVar:: f2pull = 0.523118 RooFitResult: minimized FCN value: 8765.83, estimated distance to minimum: 1.13233e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.6251e-02 +/- 2.87e-01 f1 4.0000e-01 4.6735e-01 +/- 1.76e-02 f2 2.0000e-01 2.2970e-01 +/- 1.51e-02 N TOY = 152 1) RooRealVar:: alpha = 3.01117 +/- 0.108806 2) RooRealVar:: f1 = 0.301782 +/- 0.014853 3) RooRealVar:: f2 = 0.206776 +/- 0.0128231 4) RooRealVar:: NLL = 8781.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.98749 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.300783 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209353 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.108806 10) RooRealVar:: alphapull = 0.217635 11) RooRealVar:: f1err = 0.014853 12) RooRealVar:: f1pull = 0.0672766 13) RooRealVar:: f2err = 0.0128231 14) RooRealVar:: f2pull = -0.20095 RooFitResult: minimized FCN value: 8781.11, estimated distance to minimum: 0.000124678 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.0112e+00 +/- 1.09e-01 f1 4.0000e-01 3.0178e-01 +/- 1.49e-02 f2 2.0000e-01 2.0678e-01 +/- 1.28e-02 N TOY = 153 1) RooRealVar:: alpha = 1.54514 +/- 0.18814 2) RooRealVar:: f1 = 0.39047 +/- 0.0166504 3) RooRealVar:: f2 = 0.141067 +/- 0.0134609 4) RooRealVar:: NLL = 8835.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.64603 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.397504 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.137862 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.18814 10) RooRealVar:: alphapull = -0.536243 11) RooRealVar:: f1err = 0.0166504 12) RooRealVar:: f1pull = -0.42245 13) RooRealVar:: f2err = 0.0134609 14) RooRealVar:: f2pull = 0.2381 RooFitResult: minimized FCN value: 8835.37, estimated distance to minimum: 6.87322e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5451e+00 +/- 1.88e-01 f1 4.0000e-01 3.9047e-01 +/- 1.67e-02 f2 2.0000e-01 1.4107e-01 +/- 1.35e-02 N TOY = 154 1) RooRealVar:: alpha = 0.753851 +/- 0.234187 2) RooRealVar:: f1 = 0.39848 +/- 0.0174485 3) RooRealVar:: f2 = 0.202614 +/- 0.0146284 4) RooRealVar:: NLL = 8872.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.29924 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.368331 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.216906 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.234187 10) RooRealVar:: alphapull = 1.94123 11) RooRealVar:: f1err = 0.0174485 12) RooRealVar:: f1pull = 1.72788 13) RooRealVar:: f2err = 0.0146284 14) RooRealVar:: f2pull = -0.976947 RooFitResult: minimized FCN value: 8872.52, estimated distance to minimum: 6.0368e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.5385e-01 +/- 2.34e-01 f1 4.0000e-01 3.9848e-01 +/- 1.74e-02 f2 2.0000e-01 2.0261e-01 +/- 1.46e-02 N TOY = 155 1) RooRealVar:: alpha = -1.50499 +/- 0.171888 2) RooRealVar:: f1 = 0.387198 +/- 0.0181982 3) RooRealVar:: f2 = 0.206189 +/- 0.0171817 4) RooRealVar:: NLL = 8883.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.48542 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394709 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.180149 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.171888 10) RooRealVar:: alphapull = -0.113876 11) RooRealVar:: f1err = 0.0181982 12) RooRealVar:: f1pull = -0.412752 13) RooRealVar:: f2err = 0.0171817 14) RooRealVar:: f2pull = 1.51557 RooFitResult: minimized FCN value: 8883.97, estimated distance to minimum: 5.94849e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5050e+00 +/- 1.72e-01 f1 4.0000e-01 3.8720e-01 +/- 1.82e-02 f2 2.0000e-01 2.0619e-01 +/- 1.72e-02 N TOY = 156 1) RooRealVar:: alpha = 0.134026 +/- 0.233252 2) RooRealVar:: f1 = 0.358672 +/- 0.0181076 3) RooRealVar:: f2 = 0.207649 +/- 0.0155746 4) RooRealVar:: NLL = 8929.85 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.353685 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.393221 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18265 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.233252 10) RooRealVar:: alphapull = -0.941726 11) RooRealVar:: f1err = 0.0181076 12) RooRealVar:: f1pull = -1.90801 13) RooRealVar:: f2err = 0.0155746 14) RooRealVar:: f2pull = 1.60511 RooFitResult: minimized FCN value: 8929.85, estimated distance to minimum: 1.45799e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3403e-01 +/- 2.33e-01 f1 4.0000e-01 3.5867e-01 +/- 1.81e-02 f2 2.0000e-01 2.0765e-01 +/- 1.56e-02 N TOY = 157 1) RooRealVar:: alpha = 1.24091 +/- 0.217735 2) RooRealVar:: f1 = 0.316889 +/- 0.0170853 3) RooRealVar:: f2 = 0.209884 +/- 0.0145057 4) RooRealVar:: NLL = 8931.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.976687 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.304985 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.197758 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.217735 10) RooRealVar:: alphapull = 1.21353 11) RooRealVar:: f1err = 0.0170853 12) RooRealVar:: f1pull = 0.69674 13) RooRealVar:: f2err = 0.0145057 14) RooRealVar:: f2pull = 0.836012 RooFitResult: minimized FCN value: 8931.76, estimated distance to minimum: 3.90172e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2409e+00 +/- 2.18e-01 f1 4.0000e-01 3.1689e-01 +/- 1.71e-02 f2 2.0000e-01 2.0988e-01 +/- 1.45e-02 N TOY = 158 1) RooRealVar:: alpha = -0.284776 +/- 0.237623 2) RooRealVar:: f1 = 0.396113 +/- 0.0173957 3) RooRealVar:: f2 = 0.258319 +/- 0.0166046 4) RooRealVar:: NLL = 8858.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0562654 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.403037 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.271976 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.237623 10) RooRealVar:: alphapull = -1.43522 11) RooRealVar:: f1err = 0.0173957 12) RooRealVar:: f1pull = -0.398019 13) RooRealVar:: f2err = 0.0166046 14) RooRealVar:: f2pull = -0.822447 RooFitResult: minimized FCN value: 8858.19, estimated distance to minimum: 2.96815e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.8478e-01 +/- 2.38e-01 f1 4.0000e-01 3.9611e-01 +/- 1.74e-02 f2 2.0000e-01 2.5832e-01 +/- 1.66e-02 N TOY = 159 1) RooRealVar:: alpha = -1.55302 +/- 0.153245 2) RooRealVar:: f1 = 0.323875 +/- 0.0183731 3) RooRealVar:: f2 = 0.186635 +/- 0.0173493 4) RooRealVar:: NLL = 8973.27 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.49653 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.339058 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184052 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.153245 10) RooRealVar:: alphapull = -0.368641 11) RooRealVar:: f1err = 0.0183731 12) RooRealVar:: f1pull = -0.826356 13) RooRealVar:: f2err = 0.0173493 14) RooRealVar:: f2pull = 0.148869 RooFitResult: minimized FCN value: 8973.27, estimated distance to minimum: 2.04458e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5530e+00 +/- 1.53e-01 f1 4.0000e-01 3.2388e-01 +/- 1.84e-02 f2 2.0000e-01 1.8663e-01 +/- 1.73e-02 N TOY = 160 1) RooRealVar:: alpha = -0.0783142 +/- 0.368912 2) RooRealVar:: f1 = 0.562371 +/- 0.0160362 3) RooRealVar:: f2 = 0.275594 +/- 0.0153091 4) RooRealVar:: NLL = 8523.7 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.225107 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.553902 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.271422 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.368912 10) RooRealVar:: alphapull = 0.397907 11) RooRealVar:: f1err = 0.0160362 12) RooRealVar:: f1pull = 0.528173 13) RooRealVar:: f2err = 0.0153091 14) RooRealVar:: f2pull = 0.272555 RooFitResult: minimized FCN value: 8523.7, estimated distance to minimum: 2.50005e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8314e-02 +/- 3.69e-01 f1 4.0000e-01 5.6237e-01 +/- 1.60e-02 f2 2.0000e-01 2.7559e-01 +/- 1.53e-02 N TOY = 161 1) RooRealVar:: alpha = -0.00176758 +/- 0.331618 2) RooRealVar:: f1 = 0.51409 +/- 0.0170017 3) RooRealVar:: f2 = 0.28594 +/- 0.014988 4) RooRealVar:: NLL = 8624.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.326557 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.541596 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.276211 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.331618 10) RooRealVar:: alphapull = -0.990068 11) RooRealVar:: f1err = 0.0170017 12) RooRealVar:: f1pull = -1.61787 13) RooRealVar:: f2err = 0.014988 14) RooRealVar:: f2pull = 0.649122 RooFitResult: minimized FCN value: 8624.37, estimated distance to minimum: 0.0029089 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7676e-03 +/- 3.32e-01 f1 4.0000e-01 5.1409e-01 +/- 1.70e-02 f2 2.0000e-01 2.8594e-01 +/- 1.50e-02 N TOY = 162 1) RooRealVar:: alpha = -0.12338 +/- 0.178422 2) RooRealVar:: f1 = 0.335255 +/- 0.0174134 3) RooRealVar:: f2 = 0.189064 +/- 0.0161373 4) RooRealVar:: NLL = 8970.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0553215 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.334101 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.182258 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.178422 10) RooRealVar:: alphapull = -1.00157 11) RooRealVar:: f1err = 0.0174134 12) RooRealVar:: f1pull = 0.0662906 13) RooRealVar:: f2err = 0.0161373 14) RooRealVar:: f2pull = 0.421703 RooFitResult: minimized FCN value: 8970.53, estimated distance to minimum: 1.0152e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2338e-01 +/- 1.78e-01 f1 4.0000e-01 3.3526e-01 +/- 1.74e-02 f2 2.0000e-01 1.8906e-01 +/- 1.61e-02 N TOY = 163 1) RooRealVar:: alpha = 1.58701 +/- 0.233242 2) RooRealVar:: f1 = 0.329276 +/- 0.0166161 3) RooRealVar:: f2 = 0.261375 +/- 0.0145473 4) RooRealVar:: NLL = 8909.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.78352 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.306978 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.279519 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.233242 10) RooRealVar:: alphapull = -0.842543 11) RooRealVar:: f1err = 0.0166161 12) RooRealVar:: f1pull = 1.34193 13) RooRealVar:: f2err = 0.0145473 14) RooRealVar:: f2pull = -1.24723 RooFitResult: minimized FCN value: 8909.84, estimated distance to minimum: 2.85977e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5870e+00 +/- 2.33e-01 f1 4.0000e-01 3.2928e-01 +/- 1.66e-02 f2 2.0000e-01 2.6138e-01 +/- 1.45e-02 N TOY = 164 1) RooRealVar:: alpha = -1.10833 +/- 0.175614 2) RooRealVar:: f1 = 0.411903 +/- 0.0179102 3) RooRealVar:: f2 = 0.160858 +/- 0.0161835 4) RooRealVar:: NLL = 8888.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.32289 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415543 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.133705 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175614 10) RooRealVar:: alphapull = 1.22181 11) RooRealVar:: f1err = 0.0179102 12) RooRealVar:: f1pull = -0.20328 13) RooRealVar:: f2err = 0.0161835 14) RooRealVar:: f2pull = 1.67783 RooFitResult: minimized FCN value: 8888.55, estimated distance to minimum: 6.02837e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1083e+00 +/- 1.76e-01 f1 4.0000e-01 4.1190e-01 +/- 1.79e-02 f2 2.0000e-01 1.6086e-01 +/- 1.62e-02 N TOY = 165 1) RooRealVar:: alpha = -0.848048 +/- 0.247533 2) RooRealVar:: f1 = 0.540231 +/- 0.0170038 3) RooRealVar:: f2 = 0.20353 +/- 0.0158806 4) RooRealVar:: NLL = 8650.58 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.986924 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.573158 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177701 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.247533 10) RooRealVar:: alphapull = 0.561037 11) RooRealVar:: f1err = 0.0170038 12) RooRealVar:: f1pull = -1.93648 13) RooRealVar:: f2err = 0.0158806 14) RooRealVar:: f2pull = 1.62644 RooFitResult: minimized FCN value: 8650.58, estimated distance to minimum: 1.78864e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.4805e-01 +/- 2.48e-01 f1 4.0000e-01 5.4023e-01 +/- 1.70e-02 f2 2.0000e-01 2.0353e-01 +/- 1.59e-02 N TOY = 166 1) RooRealVar:: alpha = -1.07777 +/- 0.163754 2) RooRealVar:: f1 = 0.243125 +/- 0.0179698 3) RooRealVar:: f2 = 0.241122 +/- 0.0173458 4) RooRealVar:: NLL = 9030.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.20792 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.260614 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.235537 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.163754 10) RooRealVar:: alphapull = 0.794756 11) RooRealVar:: f1err = 0.0179698 12) RooRealVar:: f1pull = -0.973264 13) RooRealVar:: f2err = 0.0173458 14) RooRealVar:: f2pull = 0.322023 RooFitResult: minimized FCN value: 9030.5, estimated distance to minimum: 1.27751e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0778e+00 +/- 1.64e-01 f1 4.0000e-01 2.4312e-01 +/- 1.80e-02 f2 2.0000e-01 2.4112e-01 +/- 1.73e-02 N TOY = 167 1) RooRealVar:: alpha = -0.369891 +/- 0.176439 2) RooRealVar:: f1 = 0.386475 +/- 0.0175895 3) RooRealVar:: f2 = 0.14892 +/- 0.0160551 4) RooRealVar:: NLL = 8930.18 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.315362 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.385395 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.154862 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.176439 10) RooRealVar:: alphapull = -0.309053 11) RooRealVar:: f1err = 0.0175895 12) RooRealVar:: f1pull = 0.0613942 13) RooRealVar:: f2err = 0.0160551 14) RooRealVar:: f2pull = -0.37005 RooFitResult: minimized FCN value: 8930.18, estimated distance to minimum: 2.91226e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.6989e-01 +/- 1.76e-01 f1 4.0000e-01 3.8648e-01 +/- 1.76e-02 f2 2.0000e-01 1.4892e-01 +/- 1.61e-02 N TOY = 168 1) RooRealVar:: alpha = 0.750324 +/- 0.236867 2) RooRealVar:: f1 = 0.4112 +/- 0.0173767 3) RooRealVar:: f2 = 0.154559 +/- 0.0146546 4) RooRealVar:: NLL = 8876.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.882373 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.384587 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.173016 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.236867 10) RooRealVar:: alphapull = -0.55748 11) RooRealVar:: f1err = 0.0173767 12) RooRealVar:: f1pull = 1.53156 13) RooRealVar:: f2err = 0.0146546 14) RooRealVar:: f2pull = -1.25946 RooFitResult: minimized FCN value: 8876.59, estimated distance to minimum: 7.49639e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.5032e-01 +/- 2.37e-01 f1 4.0000e-01 4.1120e-01 +/- 1.74e-02 f2 2.0000e-01 1.5456e-01 +/- 1.47e-02 N TOY = 169 1) RooRealVar:: alpha = 2.78118 +/- 0.285864 2) RooRealVar:: f1 = 0.480428 +/- 0.0158458 3) RooRealVar:: f2 = 0.186159 +/- 0.0135289 4) RooRealVar:: NLL = 8743.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.13155 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.468202 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184481 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.285864 10) RooRealVar:: alphapull = 2.27252 11) RooRealVar:: f1err = 0.0158458 12) RooRealVar:: f1pull = 0.771539 13) RooRealVar:: f2err = 0.0135289 14) RooRealVar:: f2pull = 0.12403 RooFitResult: minimized FCN value: 8743.66, estimated distance to minimum: 1.25562e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.7812e+00 +/- 2.86e-01 f1 4.0000e-01 4.8043e-01 +/- 1.58e-02 f2 2.0000e-01 1.8616e-01 +/- 1.35e-02 N TOY = 170 1) RooRealVar:: alpha = -0.0273186 +/- 0.191442 2) RooRealVar:: f1 = 0.398619 +/- 0.0174182 3) RooRealVar:: f2 = 0.17878 +/- 0.0156387 4) RooRealVar:: NLL = 8901.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.263624 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.39045 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181712 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.191442 10) RooRealVar:: alphapull = 1.23435 11) RooRealVar:: f1err = 0.0174182 12) RooRealVar:: f1pull = 0.468997 13) RooRealVar:: f2err = 0.0156387 14) RooRealVar:: f2pull = -0.187498 RooFitResult: minimized FCN value: 8901.5, estimated distance to minimum: 2.88573e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.7319e-02 +/- 1.91e-01 f1 4.0000e-01 3.9862e-01 +/- 1.74e-02 f2 2.0000e-01 1.7878e-01 +/- 1.56e-02 N TOY = 171 1) RooRealVar:: alpha = 0.767862 +/- 0.20616 2) RooRealVar:: f1 = 0.367642 +/- 0.0174014 3) RooRealVar:: f2 = 0.134308 +/- 0.0144011 4) RooRealVar:: NLL = 8909.05 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.889286 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.383038 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.122595 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20616 10) RooRealVar:: alphapull = -0.588981 11) RooRealVar:: f1err = 0.0174014 12) RooRealVar:: f1pull = -0.884751 13) RooRealVar:: f2err = 0.0144011 14) RooRealVar:: f2pull = 0.813314 RooFitResult: minimized FCN value: 8909.05, estimated distance to minimum: 3.34495e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.6786e-01 +/- 2.06e-01 f1 4.0000e-01 3.6764e-01 +/- 1.74e-02 f2 2.0000e-01 1.3431e-01 +/- 1.44e-02 N TOY = 172 1) RooRealVar:: alpha = -0.0865446 +/- 0.169875 2) RooRealVar:: f1 = 0.282914 +/- 0.0172395 3) RooRealVar:: f2 = 0.197928 +/- 0.016116 4) RooRealVar:: NLL = 9012.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.170799 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.277387 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.194966 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169875 10) RooRealVar:: alphapull = 0.495979 11) RooRealVar:: f1err = 0.0172395 12) RooRealVar:: f1pull = 0.320638 13) RooRealVar:: f2err = 0.016116 14) RooRealVar:: f2pull = 0.1838 RooFitResult: minimized FCN value: 9012.17, estimated distance to minimum: 2.93509e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.6545e-02 +/- 1.70e-01 f1 4.0000e-01 2.8291e-01 +/- 1.72e-02 f2 2.0000e-01 1.9793e-01 +/- 1.61e-02 N TOY = 173 1) RooRealVar:: alpha = -0.837435 +/- 0.185095 2) RooRealVar:: f1 = 0.36216 +/- 0.0177371 3) RooRealVar:: f2 = 0.198448 +/- 0.0170052 4) RooRealVar:: NLL = 8936.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.870604 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.374919 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211731 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.185095 10) RooRealVar:: alphapull = 0.179201 11) RooRealVar:: f1err = 0.0177371 12) RooRealVar:: f1pull = -0.719368 13) RooRealVar:: f2err = 0.0170052 14) RooRealVar:: f2pull = -0.781113 RooFitResult: minimized FCN value: 8936.78, estimated distance to minimum: 5.22857e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.3744e-01 +/- 1.85e-01 f1 4.0000e-01 3.6216e-01 +/- 1.77e-02 f2 2.0000e-01 1.9845e-01 +/- 1.70e-02 N TOY = 174 1) RooRealVar:: alpha = 1.59735 +/- 0.196856 2) RooRealVar:: f1 = 0.345368 +/- 0.0165644 3) RooRealVar:: f2 = 0.204373 +/- 0.0138091 4) RooRealVar:: NLL = 8886.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.30468 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.293705 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209689 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.196856 10) RooRealVar:: alphapull = 1.48668 11) RooRealVar:: f1err = 0.0165644 12) RooRealVar:: f1pull = 3.11892 13) RooRealVar:: f2err = 0.0138091 14) RooRealVar:: f2pull = -0.385015 RooFitResult: minimized FCN value: 8886.09, estimated distance to minimum: 3.30444e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5973e+00 +/- 1.97e-01 f1 4.0000e-01 3.4537e-01 +/- 1.66e-02 f2 2.0000e-01 2.0437e-01 +/- 1.38e-02 N TOY = 175 1) RooRealVar:: alpha = -0.414069 +/- 0.211227 2) RooRealVar:: f1 = 0.405986 +/- 0.0174182 3) RooRealVar:: f2 = 0.224789 +/- 0.016289 4) RooRealVar:: NLL = 8865.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.57733 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.365587 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.239616 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.211227 10) RooRealVar:: alphapull = 0.772919 11) RooRealVar:: f1err = 0.0174182 12) RooRealVar:: f1pull = 2.31936 13) RooRealVar:: f2err = 0.016289 14) RooRealVar:: f2pull = -0.910228 RooFitResult: minimized FCN value: 8865.59, estimated distance to minimum: 1.41512e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.1407e-01 +/- 2.11e-01 f1 4.0000e-01 4.0599e-01 +/- 1.74e-02 f2 2.0000e-01 2.2479e-01 +/- 1.63e-02 N TOY = 176 1) RooRealVar:: alpha = 0.0165511 +/- 0.215357 2) RooRealVar:: f1 = 0.316342 +/- 0.0182457 3) RooRealVar:: f2 = 0.217405 +/- 0.0157471 4) RooRealVar:: NLL = 8979.73 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0932394 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.320614 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.204435 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215357 10) RooRealVar:: alphapull = 0.509808 11) RooRealVar:: f1err = 0.0182457 12) RooRealVar:: f1pull = -0.234176 13) RooRealVar:: f2err = 0.0157471 14) RooRealVar:: f2pull = 0.823637 RooFitResult: minimized FCN value: 8979.73, estimated distance to minimum: 2.17111e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6551e-02 +/- 2.15e-01 f1 4.0000e-01 3.1634e-01 +/- 1.82e-02 f2 2.0000e-01 2.1741e-01 +/- 1.57e-02 N TOY = 177 1) RooRealVar:: alpha = -2.19114 +/- 0.15295 2) RooRealVar:: f1 = 0.405928 +/- 0.0184903 3) RooRealVar:: f2 = 0.196724 +/- 0.0175303 4) RooRealVar:: NLL = 8811.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.1022 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415618 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196241 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.15295 10) RooRealVar:: alphapull = -0.581487 11) RooRealVar:: f1err = 0.0184903 12) RooRealVar:: f1pull = -0.524076 13) RooRealVar:: f2err = 0.0175303 14) RooRealVar:: f2pull = 0.0275681 RooFitResult: minimized FCN value: 8811.46, estimated distance to minimum: 7.03811e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1911e+00 +/- 1.53e-01 f1 4.0000e-01 4.0593e-01 +/- 1.85e-02 f2 2.0000e-01 1.9672e-01 +/- 1.75e-02 N TOY = 178 1) RooRealVar:: alpha = -0.138716 +/- 0.172084 2) RooRealVar:: f1 = 0.361497 +/- 0.0172179 3) RooRealVar:: f2 = 0.173435 +/- 0.0156814 4) RooRealVar:: NLL = 8941.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0840177 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.352749 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.167564 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.172084 10) RooRealVar:: alphapull = -1.29433 11) RooRealVar:: f1err = 0.0172179 12) RooRealVar:: f1pull = 0.508095 13) RooRealVar:: f2err = 0.0156814 14) RooRealVar:: f2pull = 0.37442 RooFitResult: minimized FCN value: 8941.53, estimated distance to minimum: 1.74124e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3872e-01 +/- 1.72e-01 f1 4.0000e-01 3.6150e-01 +/- 1.72e-02 f2 2.0000e-01 1.7344e-01 +/- 1.57e-02 N TOY = 179 1) RooRealVar:: alpha = -1.83538 +/- 0.163696 2) RooRealVar:: f1 = 0.371519 +/- 0.0184648 3) RooRealVar:: f2 = 0.21564 +/- 0.0176565 4) RooRealVar:: NLL = 8876 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.84369 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38064 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23816 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.163696 10) RooRealVar:: alphapull = 0.0507807 11) RooRealVar:: f1err = 0.0184648 12) RooRealVar:: f1pull = -0.493946 13) RooRealVar:: f2err = 0.0176565 14) RooRealVar:: f2pull = -1.27545 RooFitResult: minimized FCN value: 8876, estimated distance to minimum: 6.79072e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8354e+00 +/- 1.64e-01 f1 4.0000e-01 3.7152e-01 +/- 1.85e-02 f2 2.0000e-01 2.1564e-01 +/- 1.77e-02 N TOY = 180 1) RooRealVar:: alpha = 0.722274 +/- 0.212935 2) RooRealVar:: f1 = 0.306393 +/- 0.0175105 3) RooRealVar:: f2 = 0.204623 +/- 0.0150399 4) RooRealVar:: NLL = 8960.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.580107 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.306057 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.189407 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.212935 10) RooRealVar:: alphapull = 0.667655 11) RooRealVar:: f1err = 0.0175105 12) RooRealVar:: f1pull = 0.0191956 13) RooRealVar:: f2err = 0.0150399 14) RooRealVar:: f2pull = 1.01172 RooFitResult: minimized FCN value: 8960.44, estimated distance to minimum: 3.15473e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.2227e-01 +/- 2.13e-01 f1 4.0000e-01 3.0639e-01 +/- 1.75e-02 f2 2.0000e-01 2.0462e-01 +/- 1.50e-02 N TOY = 181 1) RooRealVar:: alpha = 0.186907 +/- 0.238654 2) RooRealVar:: f1 = 0.361978 +/- 0.0181086 3) RooRealVar:: f2 = 0.212928 +/- 0.0153733 4) RooRealVar:: NLL = 8929.08 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.660451 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.404614 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.204241 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238654 10) RooRealVar:: alphapull = -1.98423 11) RooRealVar:: f1err = 0.0181086 12) RooRealVar:: f1pull = -2.35445 13) RooRealVar:: f2err = 0.0153733 14) RooRealVar:: f2pull = 0.565082 RooFitResult: minimized FCN value: 8929.08, estimated distance to minimum: 4.02848e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8691e-01 +/- 2.39e-01 f1 4.0000e-01 3.6198e-01 +/- 1.81e-02 f2 2.0000e-01 2.1293e-01 +/- 1.54e-02 N TOY = 182 1) RooRealVar:: alpha = 0.591306 +/- 0.242127 2) RooRealVar:: f1 = 0.404793 +/- 0.0173272 3) RooRealVar:: f2 = 0.207908 +/- 0.0149009 4) RooRealVar:: NLL = 8868.01 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.652777 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.393582 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214838 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242127 10) RooRealVar:: alphapull = -0.253877 11) RooRealVar:: f1err = 0.0173272 12) RooRealVar:: f1pull = 0.64702 13) RooRealVar:: f2err = 0.0149009 14) RooRealVar:: f2pull = -0.465027 RooFitResult: minimized FCN value: 8868.01, estimated distance to minimum: 5.59263e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.9131e-01 +/- 2.42e-01 f1 4.0000e-01 4.0479e-01 +/- 1.73e-02 f2 2.0000e-01 2.0791e-01 +/- 1.49e-02 N TOY = 183 1) RooRealVar:: alpha = -1.53932 +/- 0.164719 2) RooRealVar:: f1 = 0.381323 +/- 0.0182398 3) RooRealVar:: f2 = 0.171956 +/- 0.0171341 4) RooRealVar:: NLL = 8905.74 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.38651 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.397601 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.174441 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.164719 10) RooRealVar:: alphapull = -0.927679 11) RooRealVar:: f1err = 0.0182398 12) RooRealVar:: f1pull = -0.892467 13) RooRealVar:: f2err = 0.0171341 14) RooRealVar:: f2pull = -0.145029 RooFitResult: minimized FCN value: 8905.74, estimated distance to minimum: 4.7509e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5393e+00 +/- 1.65e-01 f1 4.0000e-01 3.8132e-01 +/- 1.82e-02 f2 2.0000e-01 1.7196e-01 +/- 1.71e-02 N TOY = 184 1) RooRealVar:: alpha = 0.621477 +/- 0.243525 2) RooRealVar:: f1 = 0.411036 +/- 0.0176797 3) RooRealVar:: f2 = 0.164598 +/- 0.0148686 4) RooRealVar:: NLL = 8875.68 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.644712 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.402757 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.165537 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.243525 10) RooRealVar:: alphapull = -0.0954124 11) RooRealVar:: f1err = 0.0176797 12) RooRealVar:: f1pull = 0.468274 13) RooRealVar:: f2err = 0.0148686 14) RooRealVar:: f2pull = -0.0631826 RooFitResult: minimized FCN value: 8875.68, estimated distance to minimum: 3.2492e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.2148e-01 +/- 2.44e-01 f1 4.0000e-01 4.1104e-01 +/- 1.77e-02 f2 2.0000e-01 1.6460e-01 +/- 1.49e-02 N TOY = 185 1) RooRealVar:: alpha = 0.978929 +/- 0.308203 2) RooRealVar:: f1 = 0.464849 +/- 0.0173231 3) RooRealVar:: f2 = 0.20183 +/- 0.0151838 4) RooRealVar:: NLL = 8806.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.728088 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.459242 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181627 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.308203 10) RooRealVar:: alphapull = 0.813883 11) RooRealVar:: f1err = 0.0173231 12) RooRealVar:: f1pull = 0.323649 13) RooRealVar:: f2err = 0.0151838 14) RooRealVar:: f2pull = 1.33055 RooFitResult: minimized FCN value: 8806.59, estimated distance to minimum: 2.30705e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.7893e-01 +/- 3.08e-01 f1 4.0000e-01 4.6485e-01 +/- 1.73e-02 f2 2.0000e-01 2.0183e-01 +/- 1.52e-02 N TOY = 186 1) RooRealVar:: alpha = 1.71366 +/- 0.166919 2) RooRealVar:: f1 = 0.331934 +/- 0.0162927 3) RooRealVar:: f2 = 0.156465 +/- 0.0132757 4) RooRealVar:: NLL = 8862.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.49223 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.295683 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.15447 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.166919 10) RooRealVar:: alphapull = 1.32659 11) RooRealVar:: f1err = 0.0162927 12) RooRealVar:: f1pull = 2.22495 13) RooRealVar:: f2err = 0.0132757 14) RooRealVar:: f2pull = 0.150248 RooFitResult: minimized FCN value: 8862.07, estimated distance to minimum: 4.72772e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7137e+00 +/- 1.67e-01 f1 4.0000e-01 3.3193e-01 +/- 1.63e-02 f2 2.0000e-01 1.5646e-01 +/- 1.33e-02 N TOY = 187 1) RooRealVar:: alpha = -1.22371 +/- 0.1745 2) RooRealVar:: f1 = 0.400519 +/- 0.018145 3) RooRealVar:: f2 = 0.14903 +/- 0.0168194 4) RooRealVar:: NLL = 8913.85 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.64611 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.405507 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.112079 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.1745 10) RooRealVar:: alphapull = 2.42064 11) RooRealVar:: f1err = 0.018145 12) RooRealVar:: f1pull = -0.274918 13) RooRealVar:: f2err = 0.0168194 14) RooRealVar:: f2pull = 2.19697 RooFitResult: minimized FCN value: 8913.85, estimated distance to minimum: 2.91829e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2237e+00 +/- 1.74e-01 f1 4.0000e-01 4.0052e-01 +/- 1.81e-02 f2 2.0000e-01 1.4903e-01 +/- 1.68e-02 N TOY = 188 1) RooRealVar:: alpha = -0.565446 +/- 0.226561 2) RooRealVar:: f1 = 0.476981 +/- 0.0173338 3) RooRealVar:: f2 = 0.213756 +/- 0.0159025 4) RooRealVar:: NLL = 8758.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.325307 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.489579 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.224467 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226561 10) RooRealVar:: alphapull = -1.05993 11) RooRealVar:: f1err = 0.0173338 12) RooRealVar:: f1pull = -0.72679 13) RooRealVar:: f2err = 0.0159025 14) RooRealVar:: f2pull = -0.673536 RooFitResult: minimized FCN value: 8758.2, estimated distance to minimum: 1.09262e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.6545e-01 +/- 2.27e-01 f1 4.0000e-01 4.7698e-01 +/- 1.73e-02 f2 2.0000e-01 2.1376e-01 +/- 1.59e-02 N TOY = 189 1) RooRealVar:: alpha = 0.139078 +/- 0.218233 2) RooRealVar:: f1 = 0.289034 +/- 0.0181823 3) RooRealVar:: f2 = 0.209928 +/- 0.0156043 4) RooRealVar:: NLL = 8994.91 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0432453 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.291842 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.212528 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.218233 10) RooRealVar:: alphapull = 0.835452 11) RooRealVar:: f1err = 0.0181823 12) RooRealVar:: f1pull = -0.154466 13) RooRealVar:: f2err = 0.0156043 14) RooRealVar:: f2pull = -0.166646 RooFitResult: minimized FCN value: 8994.91, estimated distance to minimum: 1.16622e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3908e-01 +/- 2.18e-01 f1 4.0000e-01 2.8903e-01 +/- 1.82e-02 f2 2.0000e-01 2.0993e-01 +/- 1.56e-02 N TOY = 190 1) RooRealVar:: alpha = -1.52798 +/- 0.20568 2) RooRealVar:: f1 = 0.486862 +/- 0.0177677 3) RooRealVar:: f2 = 0.201872 +/- 0.0168288 4) RooRealVar:: NLL = 8726.34 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.64406 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.476099 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.193445 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20568 10) RooRealVar:: alphapull = 0.564344 11) RooRealVar:: f1err = 0.0177677 12) RooRealVar:: f1pull = 0.605769 13) RooRealVar:: f2err = 0.0168288 14) RooRealVar:: f2pull = 0.500763 RooFitResult: minimized FCN value: 8726.34, estimated distance to minimum: 1.36888e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5280e+00 +/- 2.06e-01 f1 4.0000e-01 4.8686e-01 +/- 1.78e-02 f2 2.0000e-01 2.0187e-01 +/- 1.68e-02 N TOY = 191 1) RooRealVar:: alpha = -0.778293 +/- 0.158344 2) RooRealVar:: f1 = 0.248478 +/- 0.0176769 3) RooRealVar:: f2 = 0.180396 +/- 0.017023 4) RooRealVar:: NLL = 9067.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.892847 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.234785 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.160773 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.158344 10) RooRealVar:: alphapull = 0.723449 11) RooRealVar:: f1err = 0.0176769 12) RooRealVar:: f1pull = 0.774642 13) RooRealVar:: f2err = 0.017023 14) RooRealVar:: f2pull = 1.15277 RooFitResult: minimized FCN value: 9067.66, estimated distance to minimum: 4.8552e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.7829e-01 +/- 1.58e-01 f1 4.0000e-01 2.4848e-01 +/- 1.77e-02 f2 2.0000e-01 1.8040e-01 +/- 1.70e-02 N TOY = 192 1) RooRealVar:: alpha = 0.54636 +/- 0.198643 2) RooRealVar:: f1 = 0.338517 +/- 0.0176038 3) RooRealVar:: f2 = 0.153978 +/- 0.0144009 4) RooRealVar:: NLL = 8942.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.46583 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.309939 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.172054 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.198643 10) RooRealVar:: alphapull = 0.405399 11) RooRealVar:: f1err = 0.0176038 12) RooRealVar:: f1pull = 1.62341 13) RooRealVar:: f2err = 0.0144009 14) RooRealVar:: f2pull = -1.25525 RooFitResult: minimized FCN value: 8942.16, estimated distance to minimum: 4.46745e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.4636e-01 +/- 1.99e-01 f1 4.0000e-01 3.3852e-01 +/- 1.76e-02 f2 2.0000e-01 1.5398e-01 +/- 1.44e-02 N TOY = 193 1) RooRealVar:: alpha = 0.417275 +/- 0.238336 2) RooRealVar:: f1 = 0.284271 +/- 0.0180569 3) RooRealVar:: f2 = 0.23452 +/- 0.015961 4) RooRealVar:: NLL = 8980.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.877185 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.312327 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.25657 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238336 10) RooRealVar:: alphapull = -1.92967 11) RooRealVar:: f1err = 0.0180569 12) RooRealVar:: f1pull = -1.55377 13) RooRealVar:: f2err = 0.015961 14) RooRealVar:: f2pull = -1.38152 RooFitResult: minimized FCN value: 8980.22, estimated distance to minimum: 3.89019e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.1727e-01 +/- 2.38e-01 f1 4.0000e-01 2.8427e-01 +/- 1.81e-02 f2 2.0000e-01 2.3452e-01 +/- 1.60e-02 N TOY = 194 1) RooRealVar:: alpha = -0.32774 +/- 0.187949 2) RooRealVar:: f1 = 0.472193 +/- 0.017211 3) RooRealVar:: f2 = 0.137636 +/- 0.0154745 4) RooRealVar:: NLL = 8808.23 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0505325 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.501318 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.155012 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.187949 10) RooRealVar:: alphapull = -1.47491 11) RooRealVar:: f1err = 0.017211 12) RooRealVar:: f1pull = -1.69221 13) RooRealVar:: f2err = 0.0154745 14) RooRealVar:: f2pull = -1.12282 RooFitResult: minimized FCN value: 8808.23, estimated distance to minimum: 1.05833e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.2774e-01 +/- 1.88e-01 f1 4.0000e-01 4.7219e-01 +/- 1.72e-02 f2 2.0000e-01 1.3764e-01 +/- 1.55e-02 N TOY = 195 1) RooRealVar:: alpha = 0.0856133 +/- 0.22292 2) RooRealVar:: f1 = 0.320397 +/- 0.018013 3) RooRealVar:: f2 = 0.223797 +/- 0.0157451 4) RooRealVar:: NLL = 8967.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0549217 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.322205 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.201089 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.22292 10) RooRealVar:: alphapull = 0.630427 11) RooRealVar:: f1err = 0.018013 12) RooRealVar:: f1pull = -0.100343 13) RooRealVar:: f2err = 0.0157451 14) RooRealVar:: f2pull = 1.44217 RooFitResult: minimized FCN value: 8967.5, estimated distance to minimum: 5.53185e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.5613e-02 +/- 2.23e-01 f1 4.0000e-01 3.2040e-01 +/- 1.80e-02 f2 2.0000e-01 2.2380e-01 +/- 1.57e-02 N TOY = 196 1) RooRealVar:: alpha = -0.482733 +/- 0.240611 2) RooRealVar:: f1 = 0.467963 +/- 0.017036 3) RooRealVar:: f2 = 0.238455 +/- 0.0163155 4) RooRealVar:: NLL = 8746.87 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.5184 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.457858 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.246816 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240611 10) RooRealVar:: alphapull = 0.148234 11) RooRealVar:: f1err = 0.017036 12) RooRealVar:: f1pull = 0.593143 13) RooRealVar:: f2err = 0.0163155 14) RooRealVar:: f2pull = -0.512433 RooFitResult: minimized FCN value: 8746.87, estimated distance to minimum: 4.23377e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.8273e-01 +/- 2.41e-01 f1 4.0000e-01 4.6796e-01 +/- 1.70e-02 f2 2.0000e-01 2.3846e-01 +/- 1.63e-02 N TOY = 197 1) RooRealVar:: alpha = 0.147015 +/- 0.239879 2) RooRealVar:: f1 = 0.3917 +/- 0.0180412 3) RooRealVar:: f2 = 0.194069 +/- 0.0153676 4) RooRealVar:: NLL = 8907.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0273083 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.406515 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.150489 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.239879 10) RooRealVar:: alphapull = 0.726713 11) RooRealVar:: f1err = 0.0180412 12) RooRealVar:: f1pull = -0.821176 13) RooRealVar:: f2err = 0.0153676 14) RooRealVar:: f2pull = 2.83584 RooFitResult: minimized FCN value: 8907.37, estimated distance to minimum: 7.62823e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4702e-01 +/- 2.40e-01 f1 4.0000e-01 3.9170e-01 +/- 1.80e-02 f2 2.0000e-01 1.9407e-01 +/- 1.54e-02 N TOY = 198 1) RooRealVar:: alpha = 0.170195 +/- 0.29885 2) RooRealVar:: f1 = 0.479465 +/- 0.0173929 3) RooRealVar:: f2 = 0.237276 +/- 0.0152982 4) RooRealVar:: NLL = 8737.83 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.262915 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.449298 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.254764 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.29885 10) RooRealVar:: alphapull = 1.44925 11) RooRealVar:: f1err = 0.0173929 12) RooRealVar:: f1pull = 1.73448 13) RooRealVar:: f2err = 0.0152982 14) RooRealVar:: f2pull = -1.14318 RooFitResult: minimized FCN value: 8737.83, estimated distance to minimum: 3.89896e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7020e-01 +/- 2.99e-01 f1 4.0000e-01 4.7947e-01 +/- 1.74e-02 f2 2.0000e-01 2.3728e-01 +/- 1.53e-02 N TOY = 199 1) RooRealVar:: alpha = 1.73679 +/- 0.254797 2) RooRealVar:: f1 = 0.535099 +/- 0.0162029 3) RooRealVar:: f2 = 0.15081 +/- 0.0130384 4) RooRealVar:: NLL = 8696.23 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.7337 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.523108 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.155338 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.254797 10) RooRealVar:: alphapull = 0.0121373 11) RooRealVar:: f1err = 0.0162029 12) RooRealVar:: f1pull = 0.740066 13) RooRealVar:: f2err = 0.0130384 14) RooRealVar:: f2pull = -0.347268 RooFitResult: minimized FCN value: 8696.23, estimated distance to minimum: 1.31613e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7368e+00 +/- 2.55e-01 f1 4.0000e-01 5.3510e-01 +/- 1.62e-02 f2 2.0000e-01 1.5081e-01 +/- 1.30e-02 N TOY = 200 1) RooRealVar:: alpha = 0.0554692 +/- 0.199547 2) RooRealVar:: f1 = 0.356516 +/- 0.0181969 3) RooRealVar:: f2 = 0.142787 +/- 0.0148568 4) RooRealVar:: NLL = 8941.79 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0803416 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.353686 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.121353 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.199547 10) RooRealVar:: alphapull = 0.680597 11) RooRealVar:: f1err = 0.0181969 12) RooRealVar:: f1pull = 0.155533 13) RooRealVar:: f2err = 0.0148568 14) RooRealVar:: f2pull = 1.44267 RooFitResult: minimized FCN value: 8941.79, estimated distance to minimum: 1.71397e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.5469e-02 +/- 2.00e-01 f1 4.0000e-01 3.5652e-01 +/- 1.82e-02 f2 2.0000e-01 1.4279e-01 +/- 1.49e-02 N TOY = 201 1) RooRealVar:: alpha = 1.54526 +/- 0.251314 2) RooRealVar:: f1 = 0.460772 +/- 0.0165885 3) RooRealVar:: f2 = 0.183387 +/- 0.0141067 4) RooRealVar:: NLL = 8790.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.5986 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.457913 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.193036 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.251314 10) RooRealVar:: alphapull = -0.21225 11) RooRealVar:: f1err = 0.0165885 12) RooRealVar:: f1pull = 0.172345 13) RooRealVar:: f2err = 0.0141067 14) RooRealVar:: f2pull = -0.683946 RooFitResult: minimized FCN value: 8790.64, estimated distance to minimum: 4.92364e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5453e+00 +/- 2.51e-01 f1 4.0000e-01 4.6077e-01 +/- 1.66e-02 f2 2.0000e-01 1.8339e-01 +/- 1.41e-02 N TOY = 202 1) RooRealVar:: alpha = -0.0424236 +/- 0.224138 2) RooRealVar:: f1 = 0.438625 +/- 0.0170293 3) RooRealVar:: f2 = 0.213332 +/- 0.0160963 4) RooRealVar:: NLL = 8828.82 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.277609 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.446629 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18805 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.224138 10) RooRealVar:: alphapull = 1.04929 11) RooRealVar:: f1err = 0.0170293 12) RooRealVar:: f1pull = -0.469987 13) RooRealVar:: f2err = 0.0160963 14) RooRealVar:: f2pull = 1.57063 RooFitResult: minimized FCN value: 8828.82, estimated distance to minimum: 1.07024e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.2424e-02 +/- 2.24e-01 f1 4.0000e-01 4.3863e-01 +/- 1.70e-02 f2 2.0000e-01 2.1333e-01 +/- 1.61e-02 N TOY = 203 1) RooRealVar:: alpha = -0.780657 +/- 0.253743 2) RooRealVar:: f1 = 0.460815 +/- 0.0173354 3) RooRealVar:: f2 = 0.248959 +/- 0.0169723 4) RooRealVar:: NLL = 8742.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.86729 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.491068 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.242826 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.253743 10) RooRealVar:: alphapull = 0.341419 11) RooRealVar:: f1err = 0.0173354 12) RooRealVar:: f1pull = -1.74513 13) RooRealVar:: f2err = 0.0169723 14) RooRealVar:: f2pull = 0.361342 RooFitResult: minimized FCN value: 8742.53, estimated distance to minimum: 3.05505e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8066e-01 +/- 2.54e-01 f1 4.0000e-01 4.6081e-01 +/- 1.73e-02 f2 2.0000e-01 2.4896e-01 +/- 1.70e-02 N TOY = 204 1) RooRealVar:: alpha = 0.233306 +/- 0.212302 2) RooRealVar:: f1 = 0.285454 +/- 0.0179604 3) RooRealVar:: f2 = 0.230406 +/- 0.0154235 4) RooRealVar:: NLL = 8994.58 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.300145 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.278931 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232337 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.212302 10) RooRealVar:: alphapull = -0.31483 11) RooRealVar:: f1err = 0.0179604 12) RooRealVar:: f1pull = 0.363189 13) RooRealVar:: f2err = 0.0154235 14) RooRealVar:: f2pull = -0.125195 RooFitResult: minimized FCN value: 8994.58, estimated distance to minimum: 1.79329e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.3331e-01 +/- 2.12e-01 f1 4.0000e-01 2.8545e-01 +/- 1.80e-02 f2 2.0000e-01 2.3041e-01 +/- 1.54e-02 N TOY = 205 1) RooRealVar:: alpha = 1.00804 +/- 0.242669 2) RooRealVar:: f1 = 0.477247 +/- 0.0167549 3) RooRealVar:: f2 = 0.167274 +/- 0.0139723 4) RooRealVar:: NLL = 8776.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.28367 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.45033 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177537 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242669 10) RooRealVar:: alphapull = -1.13582 11) RooRealVar:: f1err = 0.0167549 12) RooRealVar:: f1pull = 1.60648 13) RooRealVar:: f2err = 0.0139723 14) RooRealVar:: f2pull = -0.734511 RooFitResult: minimized FCN value: 8776.8, estimated distance to minimum: 4.74177e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0080e+00 +/- 2.43e-01 f1 4.0000e-01 4.7725e-01 +/- 1.68e-02 f2 2.0000e-01 1.6727e-01 +/- 1.40e-02 N TOY = 206 1) RooRealVar:: alpha = 2.83352 +/- 0.122724 2) RooRealVar:: f1 = 0.367569 +/- 0.0152822 3) RooRealVar:: f2 = 0.167131 +/- 0.0126958 4) RooRealVar:: NLL = 8754.6 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.7782 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.371119 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.170622 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.122724 10) RooRealVar:: alphapull = 0.450771 11) RooRealVar:: f1err = 0.0152822 12) RooRealVar:: f1pull = -0.232305 13) RooRealVar:: f2err = 0.0126958 14) RooRealVar:: f2pull = -0.274962 RooFitResult: minimized FCN value: 8754.6, estimated distance to minimum: 1.14701e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.8335e+00 +/- 1.23e-01 f1 4.0000e-01 3.6757e-01 +/- 1.53e-02 f2 2.0000e-01 1.6713e-01 +/- 1.27e-02 N TOY = 207 1) RooRealVar:: alpha = 0.605751 +/- 0.214786 2) RooRealVar:: f1 = 0.284428 +/- 0.0177543 3) RooRealVar:: f2 = 0.201437 +/- 0.0151619 4) RooRealVar:: NLL = 8985.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.91179 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.291363 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.197524 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.214786 10) RooRealVar:: alphapull = -1.42485 11) RooRealVar:: f1err = 0.0177543 12) RooRealVar:: f1pull = -0.390628 13) RooRealVar:: f2err = 0.0151619 14) RooRealVar:: f2pull = 0.2581 RooFitResult: minimized FCN value: 8985.95, estimated distance to minimum: 5.92826e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.0575e-01 +/- 2.15e-01 f1 4.0000e-01 2.8443e-01 +/- 1.78e-02 f2 2.0000e-01 2.0144e-01 +/- 1.52e-02 N TOY = 208 1) RooRealVar:: alpha = -0.0884553 +/- 0.170174 2) RooRealVar:: f1 = 0.308838 +/- 0.0174922 3) RooRealVar:: f2 = 0.1956 +/- 0.0157604 4) RooRealVar:: NLL = 8992.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.32876 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.330062 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.200033 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.170174 10) RooRealVar:: alphapull = 1.41211 11) RooRealVar:: f1err = 0.0174922 12) RooRealVar:: f1pull = -1.21335 13) RooRealVar:: f2err = 0.0157604 14) RooRealVar:: f2pull = -0.281256 RooFitResult: minimized FCN value: 8992.93, estimated distance to minimum: 1.51232e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.8455e-02 +/- 1.70e-01 f1 4.0000e-01 3.0884e-01 +/- 1.75e-02 f2 2.0000e-01 1.9560e-01 +/- 1.58e-02 N TOY = 209 1) RooRealVar:: alpha = -0.766927 +/- 0.185144 2) RooRealVar:: f1 = 0.443167 +/- 0.0176449 3) RooRealVar:: f2 = 0.127384 +/- 0.0162359 4) RooRealVar:: NLL = 8867.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.813978 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.419178 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.126816 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.185144 10) RooRealVar:: alphapull = 0.254129 11) RooRealVar:: f1err = 0.0176449 12) RooRealVar:: f1pull = 1.35951 13) RooRealVar:: f2err = 0.0162359 14) RooRealVar:: f2pull = 0.0350135 RooFitResult: minimized FCN value: 8867.33, estimated distance to minimum: 1.94604e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.6693e-01 +/- 1.85e-01 f1 4.0000e-01 4.4317e-01 +/- 1.76e-02 f2 2.0000e-01 1.2738e-01 +/- 1.62e-02 N TOY = 210 1) RooRealVar:: alpha = -0.494974 +/- 0.242112 2) RooRealVar:: f1 = 0.497303 +/- 0.0170834 3) RooRealVar:: f2 = 0.211992 +/- 0.0161373 4) RooRealVar:: NLL = 8729.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.495579 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.539751 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177627 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242112 10) RooRealVar:: alphapull = 0.00250154 11) RooRealVar:: f1err = 0.0170834 12) RooRealVar:: f1pull = -2.48473 13) RooRealVar:: f2err = 0.0161373 14) RooRealVar:: f2pull = 2.12952 RooFitResult: minimized FCN value: 8729.06, estimated distance to minimum: 2.23032e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.9497e-01 +/- 2.42e-01 f1 4.0000e-01 4.9730e-01 +/- 1.71e-02 f2 2.0000e-01 2.1199e-01 +/- 1.61e-02 N TOY = 211 1) RooRealVar:: alpha = -0.695131 +/- 0.205627 2) RooRealVar:: f1 = 0.441132 +/- 0.0174402 3) RooRealVar:: f2 = 0.190039 +/- 0.0163466 4) RooRealVar:: NLL = 8838.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.421379 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415548 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.186122 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.205627 10) RooRealVar:: alphapull = -1.33131 11) RooRealVar:: f1err = 0.0174402 12) RooRealVar:: f1pull = 1.46699 13) RooRealVar:: f2err = 0.0163466 14) RooRealVar:: f2pull = 0.239616 RooFitResult: minimized FCN value: 8838.11, estimated distance to minimum: 0.000124978 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.9513e-01 +/- 2.06e-01 f1 4.0000e-01 4.4113e-01 +/- 1.74e-02 f2 2.0000e-01 1.9004e-01 +/- 1.63e-02 N TOY = 212 1) RooRealVar:: alpha = -1.85886 +/- 0.184501 2) RooRealVar:: f1 = 0.433498 +/- 0.0180066 3) RooRealVar:: f2 = 0.228522 +/- 0.0175082 4) RooRealVar:: NLL = 8757.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.74426 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.451089 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.240815 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.184501 10) RooRealVar:: alphapull = -0.621156 11) RooRealVar:: f1err = 0.0180066 12) RooRealVar:: f1pull = -0.976931 13) RooRealVar:: f2err = 0.0175082 14) RooRealVar:: f2pull = -0.702102 RooFitResult: minimized FCN value: 8757.15, estimated distance to minimum: 2.26797e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8589e+00 +/- 1.85e-01 f1 4.0000e-01 4.3350e-01 +/- 1.80e-02 f2 2.0000e-01 2.2852e-01 +/- 1.75e-02 N TOY = 213 1) RooRealVar:: alpha = 0.773701 +/- 0.240748 2) RooRealVar:: f1 = 0.274167 +/- 0.0176624 3) RooRealVar:: f2 = 0.258278 +/- 0.0157532 4) RooRealVar:: NLL = 8987.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.721278 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.264291 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.279401 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240748 10) RooRealVar:: alphapull = 0.21775 11) RooRealVar:: f1err = 0.0176624 12) RooRealVar:: f1pull = 0.559153 13) RooRealVar:: f2err = 0.0157532 14) RooRealVar:: f2pull = -1.34089 RooFitResult: minimized FCN value: 8987.22, estimated distance to minimum: 1.99197e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.7370e-01 +/- 2.41e-01 f1 4.0000e-01 2.7417e-01 +/- 1.77e-02 f2 2.0000e-01 2.5828e-01 +/- 1.58e-02 N TOY = 214 1) RooRealVar:: alpha = 1.43219 +/- 0.199121 2) RooRealVar:: f1 = 0.348196 +/- 0.0169283 3) RooRealVar:: f2 = 0.162231 +/- 0.0135658 4) RooRealVar:: NLL = 8893.14 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.46023 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.343329 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.164462 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.199121 10) RooRealVar:: alphapull = -0.140818 11) RooRealVar:: f1err = 0.0169283 12) RooRealVar:: f1pull = 0.28751 13) RooRealVar:: f2err = 0.0135658 14) RooRealVar:: f2pull = -0.164497 RooFitResult: minimized FCN value: 8893.14, estimated distance to minimum: 1.16892e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4322e+00 +/- 1.99e-01 f1 4.0000e-01 3.4820e-01 +/- 1.69e-02 f2 2.0000e-01 1.6223e-01 +/- 1.36e-02 N TOY = 215 1) RooRealVar:: alpha = 0.918432 +/- 0.263582 2) RooRealVar:: f1 = 0.359476 +/- 0.0174279 3) RooRealVar:: f2 = 0.262519 +/- 0.0150728 4) RooRealVar:: NLL = 8894.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.802817 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.331298 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.261169 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.263582 10) RooRealVar:: alphapull = 0.438627 11) RooRealVar:: f1err = 0.0174279 12) RooRealVar:: f1pull = 1.61685 13) RooRealVar:: f2err = 0.0150728 14) RooRealVar:: f2pull = 0.0895515 RooFitResult: minimized FCN value: 8894.17, estimated distance to minimum: 2.91893e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.1843e-01 +/- 2.64e-01 f1 4.0000e-01 3.5948e-01 +/- 1.74e-02 f2 2.0000e-01 2.6252e-01 +/- 1.51e-02 N TOY = 216 1) RooRealVar:: alpha = -1.53708 +/- 0.172491 2) RooRealVar:: f1 = 0.334001 +/- 0.0182253 3) RooRealVar:: f2 = 0.239872 +/- 0.0175439 4) RooRealVar:: NLL = 8915.42 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.69262 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.322621 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.225394 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.172491 10) RooRealVar:: alphapull = 0.901726 11) RooRealVar:: f1err = 0.0182253 12) RooRealVar:: f1pull = 0.624401 13) RooRealVar:: f2err = 0.0175439 14) RooRealVar:: f2pull = 0.825279 RooFitResult: minimized FCN value: 8915.42, estimated distance to minimum: 8.18139e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5371e+00 +/- 1.72e-01 f1 4.0000e-01 3.3400e-01 +/- 1.82e-02 f2 2.0000e-01 2.3987e-01 +/- 1.75e-02 N TOY = 217 1) RooRealVar:: alpha = 0.729816 +/- 0.200225 2) RooRealVar:: f1 = 0.338017 +/- 0.0175047 3) RooRealVar:: f2 = 0.158714 +/- 0.0145939 4) RooRealVar:: NLL = 8934.61 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.909217 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.353291 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169392 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200225 10) RooRealVar:: alphapull = -0.895993 11) RooRealVar:: f1err = 0.0175047 12) RooRealVar:: f1pull = -0.872557 13) RooRealVar:: f2err = 0.0145939 14) RooRealVar:: f2pull = -0.731724 RooFitResult: minimized FCN value: 8934.61, estimated distance to minimum: 1.53046e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.2982e-01 +/- 2.00e-01 f1 4.0000e-01 3.3802e-01 +/- 1.75e-02 f2 2.0000e-01 1.5871e-01 +/- 1.46e-02 N TOY = 218 1) RooRealVar:: alpha = 0.921752 +/- 0.268985 2) RooRealVar:: f1 = 0.461721 +/- 0.0170999 3) RooRealVar:: f2 = 0.19297 +/- 0.0145079 4) RooRealVar:: NLL = 8801.7 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.737364 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.450695 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195663 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.268985 10) RooRealVar:: alphapull = 0.685497 11) RooRealVar:: f1err = 0.0170999 12) RooRealVar:: f1pull = 0.64484 13) RooRealVar:: f2err = 0.0145079 14) RooRealVar:: f2pull = -0.185623 RooFitResult: minimized FCN value: 8801.7, estimated distance to minimum: 1.35803e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.2175e-01 +/- 2.69e-01 f1 4.0000e-01 4.6172e-01 +/- 1.71e-02 f2 2.0000e-01 1.9297e-01 +/- 1.45e-02 N TOY = 219 1) RooRealVar:: alpha = -0.110628 +/- 0.194389 2) RooRealVar:: f1 = 0.326744 +/- 0.0174956 3) RooRealVar:: f2 = 0.232886 +/- 0.0162443 4) RooRealVar:: NLL = 8969.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.117378 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.326105 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.251533 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194389 10) RooRealVar:: alphapull = -1.17294 11) RooRealVar:: f1err = 0.0174956 12) RooRealVar:: f1pull = 0.0365373 13) RooRealVar:: f2err = 0.0162443 14) RooRealVar:: f2pull = -1.14789 RooFitResult: minimized FCN value: 8969.98, estimated distance to minimum: 2.85772e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1063e-01 +/- 1.94e-01 f1 4.0000e-01 3.2674e-01 +/- 1.75e-02 f2 2.0000e-01 2.3289e-01 +/- 1.62e-02 N TOY = 220 1) RooRealVar:: alpha = 0.181284 +/- 0.253847 2) RooRealVar:: f1 = 0.383694 +/- 0.0181307 3) RooRealVar:: f2 = 0.247081 +/- 0.0154315 4) RooRealVar:: NLL = 8882.25 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0552326 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363143 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232367 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.253847 10) RooRealVar:: alphapull = 0.496562 11) RooRealVar:: f1err = 0.0181307 12) RooRealVar:: f1pull = 1.13349 13) RooRealVar:: f2err = 0.0154315 14) RooRealVar:: f2pull = 0.953516 RooFitResult: minimized FCN value: 8882.25, estimated distance to minimum: 3.80451e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8128e-01 +/- 2.54e-01 f1 4.0000e-01 3.8369e-01 +/- 1.81e-02 f2 2.0000e-01 2.4708e-01 +/- 1.54e-02 N TOY = 221 1) RooRealVar:: alpha = 0.792743 +/- 0.198846 2) RooRealVar:: f1 = 0.311042 +/- 0.0175164 3) RooRealVar:: f2 = 0.164774 +/- 0.0144935 4) RooRealVar:: NLL = 8955.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.06581 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.326533 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.175063 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.198846 10) RooRealVar:: alphapull = -1.37327 11) RooRealVar:: f1err = 0.0175164 12) RooRealVar:: f1pull = -0.884356 13) RooRealVar:: f2err = 0.0144935 14) RooRealVar:: f2pull = -0.709895 RooFitResult: minimized FCN value: 8955.96, estimated distance to minimum: 6.48268e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.9274e-01 +/- 1.99e-01 f1 4.0000e-01 3.1104e-01 +/- 1.75e-02 f2 2.0000e-01 1.6477e-01 +/- 1.45e-02 N TOY = 222 1) RooRealVar:: alpha = -0.503574 +/- 0.1869 2) RooRealVar:: f1 = 0.395057 +/- 0.0175565 3) RooRealVar:: f2 = 0.172692 +/- 0.0159716 4) RooRealVar:: NLL = 8909.29 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.480688 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.392718 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.183142 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.1869 10) RooRealVar:: alphapull = -0.122455 11) RooRealVar:: f1err = 0.0175565 12) RooRealVar:: f1pull = 0.133214 13) RooRealVar:: f2err = 0.0159716 14) RooRealVar:: f2pull = -0.654318 RooFitResult: minimized FCN value: 8909.29, estimated distance to minimum: 8.20418e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.0357e-01 +/- 1.87e-01 f1 4.0000e-01 3.9506e-01 +/- 1.76e-02 f2 2.0000e-01 1.7269e-01 +/- 1.60e-02 N TOY = 223 1) RooRealVar:: alpha = 1.24099 +/- 0.249232 2) RooRealVar:: f1 = 0.411676 +/- 0.0169787 3) RooRealVar:: f2 = 0.204592 +/- 0.0142185 4) RooRealVar:: NLL = 8862.25 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.10906 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.402907 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21083 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.249232 10) RooRealVar:: alphapull = 0.529333 11) RooRealVar:: f1err = 0.0169787 12) RooRealVar:: f1pull = 0.516508 13) RooRealVar:: f2err = 0.0142185 14) RooRealVar:: f2pull = -0.438769 RooFitResult: minimized FCN value: 8862.25, estimated distance to minimum: 7.33553e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2410e+00 +/- 2.49e-01 f1 4.0000e-01 4.1168e-01 +/- 1.70e-02 f2 2.0000e-01 2.0459e-01 +/- 1.42e-02 N TOY = 224 1) RooRealVar:: alpha = -0.835171 +/- 0.173592 2) RooRealVar:: f1 = 0.418891 +/- 0.0177959 3) RooRealVar:: f2 = 0.117899 +/- 0.0162411 4) RooRealVar:: NLL = 8907.05 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.709846 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.435773 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.117815 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.173592 10) RooRealVar:: alphapull = -0.721949 11) RooRealVar:: f1err = 0.0177959 12) RooRealVar:: f1pull = -0.948636 13) RooRealVar:: f2err = 0.0162411 14) RooRealVar:: f2pull = 0.00516728 RooFitResult: minimized FCN value: 8907.05, estimated distance to minimum: 4.56153e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.3517e-01 +/- 1.74e-01 f1 4.0000e-01 4.1889e-01 +/- 1.78e-02 f2 2.0000e-01 1.1790e-01 +/- 1.62e-02 N TOY = 225 1) RooRealVar:: alpha = -0.742007 +/- 0.216776 2) RooRealVar:: f1 = 0.479459 +/- 0.0174904 3) RooRealVar:: f2 = 0.190258 +/- 0.0159696 4) RooRealVar:: NLL = 8770.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0997785 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.511154 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208651 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216776 10) RooRealVar:: alphapull = -2.96264 11) RooRealVar:: f1err = 0.0174904 12) RooRealVar:: f1pull = -1.81211 13) RooRealVar:: f2err = 0.0159696 14) RooRealVar:: f2pull = -1.15174 RooFitResult: minimized FCN value: 8770.06, estimated distance to minimum: 8.71056e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.4201e-01 +/- 2.17e-01 f1 4.0000e-01 4.7946e-01 +/- 1.75e-02 f2 2.0000e-01 1.9026e-01 +/- 1.60e-02 N TOY = 226 1) RooRealVar:: alpha = -0.344385 +/- 0.235671 2) RooRealVar:: f1 = 0.385243 +/- 0.0173951 3) RooRealVar:: f2 = 0.286025 +/- 0.0166657 4) RooRealVar:: NLL = 8836.83 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.401431 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.392006 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.26761 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.235671 10) RooRealVar:: alphapull = 0.242056 11) RooRealVar:: f1err = 0.0173951 12) RooRealVar:: f1pull = -0.388827 13) RooRealVar:: f2err = 0.0166657 14) RooRealVar:: f2pull = 1.10495 RooFitResult: minimized FCN value: 8836.83, estimated distance to minimum: 5.24978e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.4439e-01 +/- 2.36e-01 f1 4.0000e-01 3.8524e-01 +/- 1.74e-02 f2 2.0000e-01 2.8602e-01 +/- 1.67e-02 N TOY = 227 1) RooRealVar:: alpha = -0.408549 +/- 0.243498 2) RooRealVar:: f1 = 0.441557 +/- 0.0171969 3) RooRealVar:: f2 = 0.258282 +/- 0.0162189 4) RooRealVar:: NLL = 8778.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.834368 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.398034 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.242764 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.243498 10) RooRealVar:: alphapull = 1.74876 11) RooRealVar:: f1err = 0.0171969 12) RooRealVar:: f1pull = 2.53087 13) RooRealVar:: f2err = 0.0162189 14) RooRealVar:: f2pull = 0.956753 RooFitResult: minimized FCN value: 8778.56, estimated distance to minimum: 4.38581e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.0855e-01 +/- 2.43e-01 f1 4.0000e-01 4.4156e-01 +/- 1.72e-02 f2 2.0000e-01 2.5828e-01 +/- 1.62e-02 N TOY = 228 1) RooRealVar:: alpha = -0.916589 +/- 0.261516 2) RooRealVar:: f1 = 0.551237 +/- 0.0166957 3) RooRealVar:: f2 = 0.21904 +/- 0.0158595 4) RooRealVar:: NLL = 8600.7 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.859827 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.515736 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.237661 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.261516 10) RooRealVar:: alphapull = -0.217052 11) RooRealVar:: f1err = 0.0166957 12) RooRealVar:: f1pull = 2.12636 13) RooRealVar:: f2err = 0.0158595 14) RooRealVar:: f2pull = -1.17414 RooFitResult: minimized FCN value: 8600.7, estimated distance to minimum: 7.96502e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.1659e-01 +/- 2.62e-01 f1 4.0000e-01 5.5124e-01 +/- 1.67e-02 f2 2.0000e-01 2.1904e-01 +/- 1.59e-02 N TOY = 229 1) RooRealVar:: alpha = -0.836416 +/- 0.240798 2) RooRealVar:: f1 = 0.511062 +/- 0.0171849 3) RooRealVar:: f2 = 0.193705 +/- 0.015988 4) RooRealVar:: NLL = 8711.25 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.598087 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.506923 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.205485 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240798 10) RooRealVar:: alphapull = -0.989742 11) RooRealVar:: f1err = 0.0171849 12) RooRealVar:: f1pull = 0.24081 13) RooRealVar:: f2err = 0.015988 14) RooRealVar:: f2pull = -0.736823 RooFitResult: minimized FCN value: 8711.25, estimated distance to minimum: 9.57691e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.3642e-01 +/- 2.41e-01 f1 4.0000e-01 5.1106e-01 +/- 1.72e-02 f2 2.0000e-01 1.9371e-01 +/- 1.60e-02 N TOY = 230 1) RooRealVar:: alpha = -2.18159 +/- 0.189624 2) RooRealVar:: f1 = 0.497364 +/- 0.0179529 3) RooRealVar:: f2 = 0.216747 +/- 0.0170736 4) RooRealVar:: NLL = 8650.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.11226 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.521446 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214724 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.189624 10) RooRealVar:: alphapull = -0.365608 11) RooRealVar:: f1err = 0.0179529 12) RooRealVar:: f1pull = -1.34142 13) RooRealVar:: f2err = 0.0170736 14) RooRealVar:: f2pull = 0.118474 RooFitResult: minimized FCN value: 8650.28, estimated distance to minimum: 3.28085e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1816e+00 +/- 1.90e-01 f1 4.0000e-01 4.9736e-01 +/- 1.80e-02 f2 2.0000e-01 2.1675e-01 +/- 1.71e-02 N TOY = 231 1) RooRealVar:: alpha = -0.716893 +/- 0.194286 2) RooRealVar:: f1 = 0.381221 +/- 0.0177289 3) RooRealVar:: f2 = 0.217345 +/- 0.0164309 4) RooRealVar:: NLL = 8903.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.231779 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.375678 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.247481 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194286 10) RooRealVar:: alphapull = -2.4969 11) RooRealVar:: f1err = 0.0177289 12) RooRealVar:: f1pull = 0.312629 13) RooRealVar:: f2err = 0.0164309 14) RooRealVar:: f2pull = -1.83413 RooFitResult: minimized FCN value: 8903.84, estimated distance to minimum: 1.07609e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.1689e-01 +/- 1.94e-01 f1 4.0000e-01 3.8122e-01 +/- 1.77e-02 f2 2.0000e-01 2.1734e-01 +/- 1.64e-02 N TOY = 232 1) RooRealVar:: alpha = 1.11634 +/- 0.266654 2) RooRealVar:: f1 = 0.391782 +/- 0.0173398 3) RooRealVar:: f2 = 0.250858 +/- 0.0150328 4) RooRealVar:: NLL = 8850.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.855497 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.366736 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.239054 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.266654 10) RooRealVar:: alphapull = 0.97819 11) RooRealVar:: f1err = 0.0173398 12) RooRealVar:: f1pull = 1.4444 13) RooRealVar:: f2err = 0.0150328 14) RooRealVar:: f2pull = 0.785231 RooFitResult: minimized FCN value: 8850.33, estimated distance to minimum: 7.11981e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1163e+00 +/- 2.67e-01 f1 4.0000e-01 3.9178e-01 +/- 1.73e-02 f2 2.0000e-01 2.5086e-01 +/- 1.50e-02 N TOY = 233 1) RooRealVar:: alpha = 0.943963 +/- 0.341104 2) RooRealVar:: f1 = 0.490846 +/- 0.0169631 3) RooRealVar:: f2 = 0.244315 +/- 0.0150422 4) RooRealVar:: NLL = 8732.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.771662 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.496688 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.241094 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.341104 10) RooRealVar:: alphapull = 0.505127 11) RooRealVar:: f1err = 0.0169631 12) RooRealVar:: f1pull = -0.344398 13) RooRealVar:: f2err = 0.0150422 14) RooRealVar:: f2pull = 0.214115 RooFitResult: minimized FCN value: 8732.11, estimated distance to minimum: 2.93969e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.4396e-01 +/- 3.41e-01 f1 4.0000e-01 4.9085e-01 +/- 1.70e-02 f2 2.0000e-01 2.4431e-01 +/- 1.50e-02 N TOY = 234 1) RooRealVar:: alpha = -1.21865 +/- 0.171416 2) RooRealVar:: f1 = 0.396108 +/- 0.0178286 3) RooRealVar:: f2 = 0.16324 +/- 0.0166581 4) RooRealVar:: NLL = 8912.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.26471 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.386609 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18269 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.171416 10) RooRealVar:: alphapull = 0.268668 11) RooRealVar:: f1err = 0.0178286 12) RooRealVar:: f1pull = 0.532786 13) RooRealVar:: f2err = 0.0166581 14) RooRealVar:: f2pull = -1.16759 RooFitResult: minimized FCN value: 8912.54, estimated distance to minimum: 3.96658e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2187e+00 +/- 1.71e-01 f1 4.0000e-01 3.9611e-01 +/- 1.78e-02 f2 2.0000e-01 1.6324e-01 +/- 1.67e-02 N TOY = 235 1) RooRealVar:: alpha = -0.183402 +/- 0.238448 2) RooRealVar:: f1 = 0.56146 +/- 0.0166128 3) RooRealVar:: f2 = 0.155762 +/- 0.0151474 4) RooRealVar:: NLL = 8646.36 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0881636 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.570532 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.153293 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238448 10) RooRealVar:: alphapull = -1.13889 11) RooRealVar:: f1err = 0.0166128 12) RooRealVar:: f1pull = -0.546079 13) RooRealVar:: f2err = 0.0151474 14) RooRealVar:: f2pull = 0.163006 RooFitResult: minimized FCN value: 8646.36, estimated distance to minimum: 2.61576e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8340e-01 +/- 2.38e-01 f1 4.0000e-01 5.6146e-01 +/- 1.66e-02 f2 2.0000e-01 1.5576e-01 +/- 1.51e-02 N TOY = 236 1) RooRealVar:: alpha = -0.134278 +/- 0.205069 2) RooRealVar:: f1 = 0.453349 +/- 0.0171791 3) RooRealVar:: f2 = 0.171123 +/- 0.0154938 4) RooRealVar:: NLL = 8827.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0342305 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.453719 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.176549 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.205069 10) RooRealVar:: alphapull = -0.487871 11) RooRealVar:: f1err = 0.0171791 12) RooRealVar:: f1pull = -0.0215234 13) RooRealVar:: f2err = 0.0154938 14) RooRealVar:: f2pull = -0.350185 RooFitResult: minimized FCN value: 8827.98, estimated distance to minimum: 1.84863e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3428e-01 +/- 2.05e-01 f1 4.0000e-01 4.5335e-01 +/- 1.72e-02 f2 2.0000e-01 1.7112e-01 +/- 1.55e-02 N TOY = 237 1) RooRealVar:: alpha = 2.13832 +/- 0.294602 2) RooRealVar:: f1 = 0.431706 +/- 0.0167777 3) RooRealVar:: f2 = 0.170593 +/- 0.0143709 4) RooRealVar:: NLL = 8816.43 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.99909 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.421706 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.163605 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294602 10) RooRealVar:: alphapull = 0.472632 11) RooRealVar:: f1err = 0.0167777 12) RooRealVar:: f1pull = 0.596023 13) RooRealVar:: f2err = 0.0143709 14) RooRealVar:: f2pull = 0.486243 RooFitResult: minimized FCN value: 8816.43, estimated distance to minimum: 1.4193e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.1383e+00 +/- 2.95e-01 f1 4.0000e-01 4.3171e-01 +/- 1.68e-02 f2 2.0000e-01 1.7059e-01 +/- 1.44e-02 N TOY = 238 1) RooRealVar:: alpha = 0.484484 +/- 0.294234 2) RooRealVar:: f1 = 0.408367 +/- 0.0176862 3) RooRealVar:: f2 = 0.279224 +/- 0.0153948 4) RooRealVar:: NLL = 8815.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.818016 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.406368 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.289927 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294234 10) RooRealVar:: alphapull = -1.13356 11) RooRealVar:: f1err = 0.0176862 12) RooRealVar:: f1pull = 0.113048 13) RooRealVar:: f2err = 0.0153948 14) RooRealVar:: f2pull = -0.695251 RooFitResult: minimized FCN value: 8815.16, estimated distance to minimum: 9.9885e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.8448e-01 +/- 2.94e-01 f1 4.0000e-01 4.0837e-01 +/- 1.77e-02 f2 2.0000e-01 2.7922e-01 +/- 1.54e-02 N TOY = 239 1) RooRealVar:: alpha = 0.529305 +/- 0.310483 2) RooRealVar:: f1 = 0.567623 +/- 0.0167231 3) RooRealVar:: f2 = 0.161981 +/- 0.0143391 4) RooRealVar:: NLL = 8640.61 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.296545 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.582519 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.148919 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.310483 10) RooRealVar:: alphapull = 0.74967 11) RooRealVar:: f1err = 0.0167231 12) RooRealVar:: f1pull = -0.890703 13) RooRealVar:: f2err = 0.0143391 14) RooRealVar:: f2pull = 0.91088 RooFitResult: minimized FCN value: 8640.61, estimated distance to minimum: 4.22688e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.2930e-01 +/- 3.10e-01 f1 4.0000e-01 5.6762e-01 +/- 1.67e-02 f2 2.0000e-01 1.6198e-01 +/- 1.43e-02 N TOY = 240 1) RooRealVar:: alpha = -0.0304518 +/- 0.209685 2) RooRealVar:: f1 = 0.453253 +/- 0.0172037 3) RooRealVar:: f2 = 0.175643 +/- 0.015569 4) RooRealVar:: NLL = 8832.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.11962 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.470014 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.14928 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.209685 10) RooRealVar:: alphapull = 0.425248 11) RooRealVar:: f1err = 0.0172037 12) RooRealVar:: f1pull = -0.974283 13) RooRealVar:: f2err = 0.015569 14) RooRealVar:: f2pull = 1.69327 RooFitResult: minimized FCN value: 8832.19, estimated distance to minimum: 3.91886e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.0452e-02 +/- 2.10e-01 f1 4.0000e-01 4.5325e-01 +/- 1.72e-02 f2 2.0000e-01 1.7564e-01 +/- 1.56e-02 N TOY = 241 1) RooRealVar:: alpha = -0.911075 +/- 0.196998 2) RooRealVar:: f1 = 0.422979 +/- 0.0178188 3) RooRealVar:: f2 = 0.199527 +/- 0.0163897 4) RooRealVar:: NLL = 8847.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.03481 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415413 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214133 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.196998 10) RooRealVar:: alphapull = 0.628121 11) RooRealVar:: f1err = 0.0178188 12) RooRealVar:: f1pull = 0.424614 13) RooRealVar:: f2err = 0.0163897 14) RooRealVar:: f2pull = -0.891177 RooFitResult: minimized FCN value: 8847.55, estimated distance to minimum: 9.83637e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.1108e-01 +/- 1.97e-01 f1 4.0000e-01 4.2298e-01 +/- 1.78e-02 f2 2.0000e-01 1.9953e-01 +/- 1.64e-02 N TOY = 242 1) RooRealVar:: alpha = -1.03372 +/- 0.197777 2) RooRealVar:: f1 = 0.307544 +/- 0.0178683 3) RooRealVar:: f2 = 0.287419 +/- 0.0176933 4) RooRealVar:: NLL = 8921.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.975762 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.340734 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.27445 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.197777 10) RooRealVar:: alphapull = -0.293048 11) RooRealVar:: f1err = 0.0178683 12) RooRealVar:: f1pull = -1.85747 13) RooRealVar:: f2err = 0.0176933 14) RooRealVar:: f2pull = 0.732997 RooFitResult: minimized FCN value: 8921.24, estimated distance to minimum: 3.63955e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0337e+00 +/- 1.98e-01 f1 4.0000e-01 3.0754e-01 +/- 1.79e-02 f2 2.0000e-01 2.8742e-01 +/- 1.77e-02 N TOY = 243 1) RooRealVar:: alpha = 2.48533 +/- 0.303703 2) RooRealVar:: f1 = 0.387351 +/- 0.0164195 3) RooRealVar:: f2 = 0.2454 +/- 0.0147762 4) RooRealVar:: NLL = 8844.1 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.41064 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.382994 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.238835 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.303703 10) RooRealVar:: alphapull = 0.245935 11) RooRealVar:: f1err = 0.0164195 12) RooRealVar:: f1pull = 0.265315 13) RooRealVar:: f2err = 0.0147762 14) RooRealVar:: f2pull = 0.444266 RooFitResult: minimized FCN value: 8844.1, estimated distance to minimum: 6.57841e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.4853e+00 +/- 3.04e-01 f1 4.0000e-01 3.8735e-01 +/- 1.64e-02 f2 2.0000e-01 2.4540e-01 +/- 1.48e-02 N TOY = 244 1) RooRealVar:: alpha = 0.545941 +/- 0.247196 2) RooRealVar:: f1 = 0.402929 +/- 0.0175702 3) RooRealVar:: f2 = 0.217916 +/- 0.0149679 4) RooRealVar:: NLL = 8867.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.632151 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.419244 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219611 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.247196 10) RooRealVar:: alphapull = -0.348755 11) RooRealVar:: f1err = 0.0175702 12) RooRealVar:: f1pull = -0.928556 13) RooRealVar:: f2err = 0.0149679 14) RooRealVar:: f2pull = -0.1132 RooFitResult: minimized FCN value: 8867.55, estimated distance to minimum: 1.16736e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.4594e-01 +/- 2.47e-01 f1 4.0000e-01 4.0293e-01 +/- 1.76e-02 f2 2.0000e-01 2.1792e-01 +/- 1.50e-02 N TOY = 245 1) RooRealVar:: alpha = 0.510159 +/- 0.215732 2) RooRealVar:: f1 = 0.323369 +/- 0.0177531 3) RooRealVar:: f2 = 0.176182 +/- 0.0153067 4) RooRealVar:: NLL = 8960.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.691373 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.34699 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184837 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215732 10) RooRealVar:: alphapull = -0.839991 11) RooRealVar:: f1err = 0.0177531 12) RooRealVar:: f1pull = -1.33052 13) RooRealVar:: f2err = 0.0153067 14) RooRealVar:: f2pull = -0.56546 RooFitResult: minimized FCN value: 8960.78, estimated distance to minimum: 1.63557e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.1016e-01 +/- 2.16e-01 f1 4.0000e-01 3.2337e-01 +/- 1.78e-02 f2 2.0000e-01 1.7618e-01 +/- 1.53e-02 N TOY = 246 1) RooRealVar:: alpha = -0.720725 +/- 0.255382 2) RooRealVar:: f1 = 0.446207 +/- 0.0173745 3) RooRealVar:: f2 = 0.265037 +/- 0.0166634 4) RooRealVar:: NLL = 8761.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.602351 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.440605 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.255298 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.255382 10) RooRealVar:: alphapull = -0.463517 11) RooRealVar:: f1err = 0.0173745 12) RooRealVar:: f1pull = 0.322475 13) RooRealVar:: f2err = 0.0166634 14) RooRealVar:: f2pull = 0.584488 RooFitResult: minimized FCN value: 8761.99, estimated distance to minimum: 4.28975e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.2073e-01 +/- 2.55e-01 f1 4.0000e-01 4.4621e-01 +/- 1.74e-02 f2 2.0000e-01 2.6504e-01 +/- 1.67e-02 N TOY = 247 1) RooRealVar:: alpha = 0.965941 +/- 0.263461 2) RooRealVar:: f1 = 0.456737 +/- 0.0172443 3) RooRealVar:: f2 = 0.175928 +/- 0.0144929 4) RooRealVar:: NLL = 8814.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.985519 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.456366 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.164318 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.263461 10) RooRealVar:: alphapull = -0.0743096 11) RooRealVar:: f1err = 0.0172443 12) RooRealVar:: f1pull = 0.0215284 13) RooRealVar:: f2err = 0.0144929 14) RooRealVar:: f2pull = 0.801091 RooFitResult: minimized FCN value: 8814.22, estimated distance to minimum: 3.86062e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.6594e-01 +/- 2.63e-01 f1 4.0000e-01 4.5674e-01 +/- 1.72e-02 f2 2.0000e-01 1.7593e-01 +/- 1.45e-02 N TOY = 248 1) RooRealVar:: alpha = -1.7051 +/- 0.188288 2) RooRealVar:: f1 = 0.358382 +/- 0.0181545 3) RooRealVar:: f2 = 0.268824 +/- 0.0178063 4) RooRealVar:: NLL = 8834.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.77198 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.352684 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.258992 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.188288 10) RooRealVar:: alphapull = 0.355232 11) RooRealVar:: f1err = 0.0181545 12) RooRealVar:: f1pull = 0.31385 13) RooRealVar:: f2err = 0.0178063 14) RooRealVar:: f2pull = 0.552168 RooFitResult: minimized FCN value: 8834.62, estimated distance to minimum: 1.7992e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7051e+00 +/- 1.88e-01 f1 4.0000e-01 3.5838e-01 +/- 1.82e-02 f2 2.0000e-01 2.6882e-01 +/- 1.78e-02 N TOY = 249 1) RooRealVar:: alpha = -0.412759 +/- 0.373413 2) RooRealVar:: f1 = 0.6533 +/- 0.0155101 3) RooRealVar:: f2 = 0.20472 +/- 0.0148267 4) RooRealVar:: NLL = 8391.79 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.581638 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.636115 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.20068 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.373413 10) RooRealVar:: alphapull = 0.452259 11) RooRealVar:: f1err = 0.0155101 12) RooRealVar:: f1pull = 1.10798 13) RooRealVar:: f2err = 0.0148267 14) RooRealVar:: f2pull = 0.272483 RooFitResult: minimized FCN value: 8391.79, estimated distance to minimum: 1.10833e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.1276e-01 +/- 3.73e-01 f1 4.0000e-01 6.5330e-01 +/- 1.55e-02 f2 2.0000e-01 2.0472e-01 +/- 1.48e-02 N TOY = 250 1) RooRealVar:: alpha = -1.39986 +/- 0.168049 2) RooRealVar:: f1 = 0.377447 +/- 0.0180758 3) RooRealVar:: f2 = 0.17281 +/- 0.017388 4) RooRealVar:: NLL = 8921.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.2697 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.409546 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.17151 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.168049 10) RooRealVar:: alphapull = -0.77453 11) RooRealVar:: f1err = 0.0180758 12) RooRealVar:: f1pull = -1.77585 13) RooRealVar:: f2err = 0.017388 14) RooRealVar:: f2pull = 0.0747594 RooFitResult: minimized FCN value: 8921.96, estimated distance to minimum: 2.11726e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3999e+00 +/- 1.68e-01 f1 4.0000e-01 3.7745e-01 +/- 1.81e-02 f2 2.0000e-01 1.7281e-01 +/- 1.74e-02 N TOY = 251 1) RooRealVar:: alpha = 1.57923 +/- 0.175281 2) RooRealVar:: f1 = 0.336127 +/- 0.01642 3) RooRealVar:: f2 = 0.17752 +/- 0.0135174 4) RooRealVar:: NLL = 8881.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.82484 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.334235 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187875 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175281 10) RooRealVar:: alphapull = -1.40123 11) RooRealVar:: f1err = 0.01642 12) RooRealVar:: f1pull = 0.115262 13) RooRealVar:: f2err = 0.0135174 14) RooRealVar:: f2pull = -0.766032 RooFitResult: minimized FCN value: 8881.06, estimated distance to minimum: 1.68165e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5792e+00 +/- 1.75e-01 f1 4.0000e-01 3.3613e-01 +/- 1.64e-02 f2 2.0000e-01 1.7752e-01 +/- 1.35e-02 N TOY = 252 1) RooRealVar:: alpha = -0.943576 +/- 0.194886 2) RooRealVar:: f1 = 0.418219 +/- 0.0178219 3) RooRealVar:: f2 = 0.171439 +/- 0.0165513 4) RooRealVar:: NLL = 8878.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.22851 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.399698 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.159379 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194886 10) RooRealVar:: alphapull = 1.46207 11) RooRealVar:: f1err = 0.0178219 12) RooRealVar:: f1pull = 1.03921 13) RooRealVar:: f2err = 0.0165513 14) RooRealVar:: f2pull = 0.728651 RooFitResult: minimized FCN value: 8878.38, estimated distance to minimum: 4.33501e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.4358e-01 +/- 1.95e-01 f1 4.0000e-01 4.1822e-01 +/- 1.78e-02 f2 2.0000e-01 1.7144e-01 +/- 1.66e-02 N TOY = 253 1) RooRealVar:: alpha = 0.0755438 +/- 0.235742 2) RooRealVar:: f1 = 0.366365 +/- 0.018245 3) RooRealVar:: f2 = 0.223192 +/- 0.0154436 4) RooRealVar:: NLL = 8927.48 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.192857 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.328983 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.222458 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.235742 10) RooRealVar:: alphapull = 1.13854 11) RooRealVar:: f1err = 0.018245 12) RooRealVar:: f1pull = 2.04892 13) RooRealVar:: f2err = 0.0154436 14) RooRealVar:: f2pull = 0.0474887 RooFitResult: minimized FCN value: 8927.48, estimated distance to minimum: 7.76716e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.5544e-02 +/- 2.36e-01 f1 4.0000e-01 3.6637e-01 +/- 1.82e-02 f2 2.0000e-01 2.2319e-01 +/- 1.54e-02 N TOY = 254 1) RooRealVar:: alpha = -0.646387 +/- 0.203698 2) RooRealVar:: f1 = 0.435643 +/- 0.017421 3) RooRealVar:: f2 = 0.197183 +/- 0.0161855 4) RooRealVar:: NLL = 8839.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.07383 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.412917 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.173688 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203698 10) RooRealVar:: alphapull = 2.09843 11) RooRealVar:: f1err = 0.017421 12) RooRealVar:: f1pull = 1.30452 13) RooRealVar:: f2err = 0.0161855 14) RooRealVar:: f2pull = 1.45159 RooFitResult: minimized FCN value: 8839.66, estimated distance to minimum: 4.88066e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.4639e-01 +/- 2.04e-01 f1 4.0000e-01 4.3564e-01 +/- 1.74e-02 f2 2.0000e-01 1.9718e-01 +/- 1.62e-02 N TOY = 255 1) RooRealVar:: alpha = -0.963122 +/- 0.241292 2) RooRealVar:: f1 = 0.552838 +/- 0.0168655 3) RooRealVar:: f2 = 0.178961 +/- 0.0160879 4) RooRealVar:: NLL = 8634.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.868621 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.545187 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187982 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.241292 10) RooRealVar:: alphapull = -0.391644 11) RooRealVar:: f1err = 0.0168655 12) RooRealVar:: f1pull = 0.453638 13) RooRealVar:: f2err = 0.0160879 14) RooRealVar:: f2pull = -0.560755 RooFitResult: minimized FCN value: 8634.8, estimated distance to minimum: 5.51488e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.6312e-01 +/- 2.41e-01 f1 4.0000e-01 5.5284e-01 +/- 1.69e-02 f2 2.0000e-01 1.7896e-01 +/- 1.61e-02 N TOY = 256 1) RooRealVar:: alpha = 2.83925 +/- 0.22982 2) RooRealVar:: f1 = 0.460453 +/- 0.0155365 3) RooRealVar:: f2 = 0.17408 +/- 0.0133618 4) RooRealVar:: NLL = 8738.3 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.53352 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.47501 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.161872 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.22982 10) RooRealVar:: alphapull = 1.33031 11) RooRealVar:: f1err = 0.0155365 12) RooRealVar:: f1pull = -0.936951 13) RooRealVar:: f2err = 0.0133618 14) RooRealVar:: f2pull = 0.913679 RooFitResult: minimized FCN value: 8738.3, estimated distance to minimum: 3.66689e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.8393e+00 +/- 2.30e-01 f1 4.0000e-01 4.6045e-01 +/- 1.55e-02 f2 2.0000e-01 1.7408e-01 +/- 1.34e-02 N TOY = 257 1) RooRealVar:: alpha = -1.61673 +/- 0.253796 2) RooRealVar:: f1 = 0.575622 +/- 0.0166955 3) RooRealVar:: f2 = 0.216218 +/- 0.0164452 4) RooRealVar:: NLL = 8510.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.34617 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.603747 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.216563 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.253796 10) RooRealVar:: alphapull = -1.06604 11) RooRealVar:: f1err = 0.0166955 12) RooRealVar:: f1pull = -1.68457 13) RooRealVar:: f2err = 0.0164452 14) RooRealVar:: f2pull = -0.0209569 RooFitResult: minimized FCN value: 8510.84, estimated distance to minimum: 8.44121e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6167e+00 +/- 2.54e-01 f1 4.0000e-01 5.7562e-01 +/- 1.67e-02 f2 2.0000e-01 2.1622e-01 +/- 1.64e-02 N TOY = 258 1) RooRealVar:: alpha = -0.1126 +/- 0.177522 2) RooRealVar:: f1 = 0.370189 +/- 0.0173659 3) RooRealVar:: f2 = 0.162379 +/- 0.0156794 4) RooRealVar:: NLL = 8939.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.107819 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.338147 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.210521 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.177522 10) RooRealVar:: alphapull = -1.24164 11) RooRealVar:: f1err = 0.0173659 12) RooRealVar:: f1pull = 1.84512 13) RooRealVar:: f2err = 0.0156794 14) RooRealVar:: f2pull = -3.07038 RooFitResult: minimized FCN value: 8939.51, estimated distance to minimum: 1.71898e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1260e-01 +/- 1.78e-01 f1 4.0000e-01 3.7019e-01 +/- 1.74e-02 f2 2.0000e-01 1.6238e-01 +/- 1.57e-02 N TOY = 259 1) RooRealVar:: alpha = 0.295887 +/- 0.265484 2) RooRealVar:: f1 = 0.459293 +/- 0.0173675 3) RooRealVar:: f2 = 0.217952 +/- 0.0150179 4) RooRealVar:: NLL = 8795.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.373891 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.47678 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.225883 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.265484 10) RooRealVar:: alphapull = -0.293819 11) RooRealVar:: f1err = 0.0173675 12) RooRealVar:: f1pull = -1.00688 13) RooRealVar:: f2err = 0.0150179 14) RooRealVar:: f2pull = -0.52808 RooFitResult: minimized FCN value: 8795.53, estimated distance to minimum: 2.15787e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.9589e-01 +/- 2.65e-01 f1 4.0000e-01 4.5929e-01 +/- 1.74e-02 f2 2.0000e-01 2.1795e-01 +/- 1.50e-02 N TOY = 260 1) RooRealVar:: alpha = -1.45612 +/- 0.159191 2) RooRealVar:: f1 = 0.359308 +/- 0.0181912 3) RooRealVar:: f2 = 0.161361 +/- 0.0168872 4) RooRealVar:: NLL = 8948.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.30743 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38308 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.194318 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.159191 10) RooRealVar:: alphapull = -0.934056 11) RooRealVar:: f1err = 0.0181912 12) RooRealVar:: f1pull = -1.30683 13) RooRealVar:: f2err = 0.0168872 14) RooRealVar:: f2pull = -1.95159 RooFitResult: minimized FCN value: 8948.54, estimated distance to minimum: 5.13194e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4561e+00 +/- 1.59e-01 f1 4.0000e-01 3.5931e-01 +/- 1.82e-02 f2 2.0000e-01 1.6136e-01 +/- 1.69e-02 N TOY = 261 1) RooRealVar:: alpha = -0.328184 +/- 0.165399 2) RooRealVar:: f1 = 0.227208 +/- 0.0173724 3) RooRealVar:: f2 = 0.238304 +/- 0.0166479 4) RooRealVar:: NLL = 9044.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.313356 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.242534 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.234171 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.165399 10) RooRealVar:: alphapull = -0.0896532 11) RooRealVar:: f1err = 0.0173724 12) RooRealVar:: f1pull = -0.882252 13) RooRealVar:: f2err = 0.0166479 14) RooRealVar:: f2pull = 0.248225 RooFitResult: minimized FCN value: 9044.51, estimated distance to minimum: 9.35425e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.2818e-01 +/- 1.65e-01 f1 4.0000e-01 2.2721e-01 +/- 1.74e-02 f2 2.0000e-01 2.3830e-01 +/- 1.66e-02 N TOY = 262 1) RooRealVar:: alpha = 0.185656 +/- 0.227139 2) RooRealVar:: f1 = 0.406617 +/- 0.0178626 3) RooRealVar:: f2 = 0.162262 +/- 0.0150417 4) RooRealVar:: NLL = 8889.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0649755 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.379664 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.143017 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.227139 10) RooRealVar:: alphapull = 0.531308 11) RooRealVar:: f1err = 0.0178626 12) RooRealVar:: f1pull = 1.50888 13) RooRealVar:: f2err = 0.0150417 14) RooRealVar:: f2pull = 1.27947 RooFitResult: minimized FCN value: 8889.51, estimated distance to minimum: 3.71169e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8566e-01 +/- 2.27e-01 f1 4.0000e-01 4.0662e-01 +/- 1.79e-02 f2 2.0000e-01 1.6226e-01 +/- 1.50e-02 N TOY = 263 1) RooRealVar:: alpha = -1.63538 +/- 0.191138 2) RooRealVar:: f1 = 0.44861 +/- 0.017804 3) RooRealVar:: f2 = 0.215746 +/- 0.0170387 4) RooRealVar:: NLL = 8762.58 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.44183 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.482199 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.227289 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.191138 10) RooRealVar:: alphapull = -1.01261 11) RooRealVar:: f1err = 0.017804 12) RooRealVar:: f1pull = -1.88662 13) RooRealVar:: f2err = 0.0170387 14) RooRealVar:: f2pull = -0.677461 RooFitResult: minimized FCN value: 8762.58, estimated distance to minimum: 3.36062e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6354e+00 +/- 1.91e-01 f1 4.0000e-01 4.4861e-01 +/- 1.78e-02 f2 2.0000e-01 2.1575e-01 +/- 1.70e-02 N TOY = 264 1) RooRealVar:: alpha = 0.940508 +/- 0.262139 2) RooRealVar:: f1 = 0.432312 +/- 0.0174304 3) RooRealVar:: f2 = 0.193318 +/- 0.0147689 4) RooRealVar:: NLL = 8840.6 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.92605 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.412591 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.200438 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.262139 10) RooRealVar:: alphapull = 0.055155 11) RooRealVar:: f1err = 0.0174304 12) RooRealVar:: f1pull = 1.13145 13) RooRealVar:: f2err = 0.0147689 14) RooRealVar:: f2pull = -0.482118 RooFitResult: minimized FCN value: 8840.6, estimated distance to minimum: 7.44083e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.4051e-01 +/- 2.62e-01 f1 4.0000e-01 4.3231e-01 +/- 1.74e-02 f2 2.0000e-01 1.9332e-01 +/- 1.48e-02 N TOY = 265 1) RooRealVar:: alpha = -1.25882 +/- 0.161369 2) RooRealVar:: f1 = 0.324996 +/- 0.0182133 3) RooRealVar:: f2 = 0.171568 +/- 0.0171051 4) RooRealVar:: NLL = 8991.12 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.40402 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.306784 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.174388 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.161369 10) RooRealVar:: alphapull = 0.899783 11) RooRealVar:: f1err = 0.0182133 12) RooRealVar:: f1pull = 0.999922 13) RooRealVar:: f2err = 0.0171051 14) RooRealVar:: f2pull = -0.164885 RooFitResult: minimized FCN value: 8991.12, estimated distance to minimum: 2.50244e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2588e+00 +/- 1.61e-01 f1 4.0000e-01 3.2500e-01 +/- 1.82e-02 f2 2.0000e-01 1.7157e-01 +/- 1.71e-02 N TOY = 266 1) RooRealVar:: alpha = 0.533004 +/- 0.228258 2) RooRealVar:: f1 = 0.401286 +/- 0.0175355 3) RooRealVar:: f2 = 0.156712 +/- 0.0149175 4) RooRealVar:: NLL = 8896.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.724504 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.405824 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.146119 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.228258 10) RooRealVar:: alphapull = -0.838966 11) RooRealVar:: f1err = 0.0175355 12) RooRealVar:: f1pull = -0.258772 13) RooRealVar:: f2err = 0.0149175 14) RooRealVar:: f2pull = 0.710083 RooFitResult: minimized FCN value: 8896.16, estimated distance to minimum: 2.04197e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.3300e-01 +/- 2.28e-01 f1 4.0000e-01 4.0129e-01 +/- 1.75e-02 f2 2.0000e-01 1.5671e-01 +/- 1.49e-02 N TOY = 267 1) RooRealVar:: alpha = 0.774756 +/- 0.333364 2) RooRealVar:: f1 = 0.477765 +/- 0.0170557 3) RooRealVar:: f2 = 0.260952 +/- 0.0149063 4) RooRealVar:: NLL = 8728.23 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.332004 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.479409 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.24069 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.333364 10) RooRealVar:: alphapull = 1.32813 11) RooRealVar:: f1err = 0.0170557 12) RooRealVar:: f1pull = -0.0963609 13) RooRealVar:: f2err = 0.0149063 14) RooRealVar:: f2pull = 1.35927 RooFitResult: minimized FCN value: 8728.23, estimated distance to minimum: 2.35909e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.7476e-01 +/- 3.33e-01 f1 4.0000e-01 4.7777e-01 +/- 1.71e-02 f2 2.0000e-01 2.6095e-01 +/- 1.49e-02 N TOY = 268 1) RooRealVar:: alpha = -0.191529 +/- 0.188914 2) RooRealVar:: f1 = 0.362663 +/- 0.0173883 3) RooRealVar:: f2 = 0.195468 +/- 0.0159849 4) RooRealVar:: NLL = 8936.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0907087 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363186 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.198508 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.188914 10) RooRealVar:: alphapull = -0.533686 11) RooRealVar:: f1err = 0.0173883 12) RooRealVar:: f1pull = -0.030091 13) RooRealVar:: f2err = 0.0159849 14) RooRealVar:: f2pull = -0.190207 RooFitResult: minimized FCN value: 8936.64, estimated distance to minimum: 4.59877e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9153e-01 +/- 1.89e-01 f1 4.0000e-01 3.6266e-01 +/- 1.74e-02 f2 2.0000e-01 1.9547e-01 +/- 1.60e-02 N TOY = 269 1) RooRealVar:: alpha = 1.0233 +/- 0.293761 2) RooRealVar:: f1 = 0.448911 +/- 0.0171432 3) RooRealVar:: f2 = 0.213909 +/- 0.0148823 4) RooRealVar:: NLL = 8819.73 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.593094 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.4413 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.190101 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.293761 10) RooRealVar:: alphapull = 1.46449 11) RooRealVar:: f1err = 0.0171432 12) RooRealVar:: f1pull = 0.443954 13) RooRealVar:: f2err = 0.0148823 14) RooRealVar:: f2pull = 1.59979 RooFitResult: minimized FCN value: 8819.73, estimated distance to minimum: 2.13567e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0233e+00 +/- 2.94e-01 f1 4.0000e-01 4.4891e-01 +/- 1.71e-02 f2 2.0000e-01 2.1391e-01 +/- 1.49e-02 N TOY = 270 1) RooRealVar:: alpha = -1.43645 +/- 0.215702 2) RooRealVar:: f1 = 0.487697 +/- 0.0174313 3) RooRealVar:: f2 = 0.214678 +/- 0.0168256 4) RooRealVar:: NLL = 8703.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.33743 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.512555 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.206076 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215702 10) RooRealVar:: alphapull = -0.459034 11) RooRealVar:: f1err = 0.0174313 12) RooRealVar:: f1pull = -1.42602 13) RooRealVar:: f2err = 0.0168256 14) RooRealVar:: f2pull = 0.511233 RooFitResult: minimized FCN value: 8703.59, estimated distance to minimum: 5.33577e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4364e+00 +/- 2.16e-01 f1 4.0000e-01 4.8770e-01 +/- 1.74e-02 f2 2.0000e-01 2.1468e-01 +/- 1.68e-02 N TOY = 271 1) RooRealVar:: alpha = -0.935436 +/- 0.223475 2) RooRealVar:: f1 = 0.499061 +/- 0.0172534 3) RooRealVar:: f2 = 0.191292 +/- 0.0164465 4) RooRealVar:: NLL = 8727.01 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.703229 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.503248 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.198907 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.223475 10) RooRealVar:: alphapull = -1.03908 11) RooRealVar:: f1err = 0.0172534 12) RooRealVar:: f1pull = -0.242687 13) RooRealVar:: f2err = 0.0164465 14) RooRealVar:: f2pull = -0.463064 RooFitResult: minimized FCN value: 8727.01, estimated distance to minimum: 1.42255e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.3544e-01 +/- 2.23e-01 f1 4.0000e-01 4.9906e-01 +/- 1.73e-02 f2 2.0000e-01 1.9129e-01 +/- 1.64e-02 N TOY = 272 1) RooRealVar:: alpha = -1.23273 +/- 0.171464 2) RooRealVar:: f1 = 0.302247 +/- 0.0180397 3) RooRealVar:: f2 = 0.226152 +/- 0.0174757 4) RooRealVar:: NLL = 8983.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.07351 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.329263 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.243182 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.171464 10) RooRealVar:: alphapull = -0.928562 11) RooRealVar:: f1err = 0.0180397 12) RooRealVar:: f1pull = -1.49759 13) RooRealVar:: f2err = 0.0174757 14) RooRealVar:: f2pull = -0.974519 RooFitResult: minimized FCN value: 8983.46, estimated distance to minimum: 1.74859e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2327e+00 +/- 1.71e-01 f1 4.0000e-01 3.0225e-01 +/- 1.80e-02 f2 2.0000e-01 2.2615e-01 +/- 1.75e-02 N TOY = 273 1) RooRealVar:: alpha = 1.79767 +/- 0.164585 2) RooRealVar:: f1 = 0.350018 +/- 0.0163087 3) RooRealVar:: f2 = 0.181816 +/- 0.0130214 4) RooRealVar:: NLL = 8859.77 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.93004 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.336552 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181982 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.164585 10) RooRealVar:: alphapull = -0.804245 11) RooRealVar:: f1err = 0.0163087 12) RooRealVar:: f1pull = 0.82567 13) RooRealVar:: f2err = 0.0130214 14) RooRealVar:: f2pull = -0.0126919 RooFitResult: minimized FCN value: 8859.77, estimated distance to minimum: 0.000105215 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.7977e+00 +/- 1.65e-01 f1 4.0000e-01 3.5002e-01 +/- 1.63e-02 f2 2.0000e-01 1.8182e-01 +/- 1.30e-02 N TOY = 274 1) RooRealVar:: alpha = -0.449762 +/- 0.193681 2) RooRealVar:: f1 = 0.334522 +/- 0.0175412 3) RooRealVar:: f2 = 0.240459 +/- 0.0165689 4) RooRealVar:: NLL = 8944.67 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0913715 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.320229 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.265782 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.193681 10) RooRealVar:: alphapull = -1.85042 11) RooRealVar:: f1err = 0.0175412 12) RooRealVar:: f1pull = 0.814791 13) RooRealVar:: f2err = 0.0165689 14) RooRealVar:: f2pull = -1.52831 RooFitResult: minimized FCN value: 8944.67, estimated distance to minimum: 1.50311e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.4976e-01 +/- 1.94e-01 f1 4.0000e-01 3.3452e-01 +/- 1.75e-02 f2 2.0000e-01 2.4046e-01 +/- 1.66e-02 N TOY = 275 1) RooRealVar:: alpha = -0.639077 +/- 0.211843 2) RooRealVar:: f1 = 0.434826 +/- 0.0176306 3) RooRealVar:: f2 = 0.198245 +/- 0.0165529 4) RooRealVar:: NLL = 8848.82 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.626593 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.421 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.192722 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.211843 10) RooRealVar:: alphapull = -0.0589304 11) RooRealVar:: f1err = 0.0176306 12) RooRealVar:: f1pull = 0.784223 13) RooRealVar:: f2err = 0.0165529 14) RooRealVar:: f2pull = 0.333677 RooFitResult: minimized FCN value: 8848.82, estimated distance to minimum: 9.11984e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.3908e-01 +/- 2.12e-01 f1 4.0000e-01 4.3483e-01 +/- 1.76e-02 f2 2.0000e-01 1.9825e-01 +/- 1.66e-02 N TOY = 276 1) RooRealVar:: alpha = -1.37533 +/- 0.167794 2) RooRealVar:: f1 = 0.369941 +/- 0.017988 3) RooRealVar:: f2 = 0.179315 +/- 0.0170938 4) RooRealVar:: NLL = 8923.36 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.21519 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.373331 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195104 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.167794 10) RooRealVar:: alphapull = -0.954404 11) RooRealVar:: f1err = 0.017988 12) RooRealVar:: f1pull = -0.188431 13) RooRealVar:: f2err = 0.0170938 14) RooRealVar:: f2pull = -0.923656 RooFitResult: minimized FCN value: 8923.36, estimated distance to minimum: 1.45802e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3753e+00 +/- 1.68e-01 f1 4.0000e-01 3.6994e-01 +/- 1.80e-02 f2 2.0000e-01 1.7932e-01 +/- 1.71e-02 N TOY = 277 1) RooRealVar:: alpha = 0.0447556 +/- 0.194953 2) RooRealVar:: f1 = 0.321337 +/- 0.0179359 3) RooRealVar:: f2 = 0.144364 +/- 0.015289 4) RooRealVar:: NLL = 8982.79 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.482456 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.348151 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.14296 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194953 10) RooRealVar:: alphapull = -2.24516 11) RooRealVar:: f1err = 0.0179359 12) RooRealVar:: f1pull = -1.49501 13) RooRealVar:: f2err = 0.015289 14) RooRealVar:: f2pull = 0.0917775 RooFitResult: minimized FCN value: 8982.79, estimated distance to minimum: 8.98959e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.4756e-02 +/- 1.95e-01 f1 4.0000e-01 3.2134e-01 +/- 1.79e-02 f2 2.0000e-01 1.4436e-01 +/- 1.53e-02 N TOY = 278 1) RooRealVar:: alpha = -0.0352706 +/- 0.202224 2) RooRealVar:: f1 = 0.40901 +/- 0.0169978 3) RooRealVar:: f2 = 0.217704 +/- 0.0156548 4) RooRealVar:: NLL = 8864.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0213899 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.397236 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.223446 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.202224 10) RooRealVar:: alphapull = -0.0686401 11) RooRealVar:: f1err = 0.0169978 12) RooRealVar:: f1pull = 0.69266 13) RooRealVar:: f2err = 0.0156548 14) RooRealVar:: f2pull = -0.366814 RooFitResult: minimized FCN value: 8864.47, estimated distance to minimum: 1.66094e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.5271e-02 +/- 2.02e-01 f1 4.0000e-01 4.0901e-01 +/- 1.70e-02 f2 2.0000e-01 2.1770e-01 +/- 1.57e-02 N TOY = 279 1) RooRealVar:: alpha = 1.19349 +/- 0.186255 2) RooRealVar:: f1 = 0.311194 +/- 0.0170135 3) RooRealVar:: f2 = 0.143025 +/- 0.0138932 4) RooRealVar:: NLL = 8911.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.0971 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.303361 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.147274 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186255 10) RooRealVar:: alphapull = 0.517503 11) RooRealVar:: f1err = 0.0170135 12) RooRealVar:: f1pull = 0.460382 13) RooRealVar:: f2err = 0.0138932 14) RooRealVar:: f2pull = -0.305825 RooFitResult: minimized FCN value: 8911.84, estimated distance to minimum: 8.01863e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1935e+00 +/- 1.86e-01 f1 4.0000e-01 3.1119e-01 +/- 1.70e-02 f2 2.0000e-01 1.4303e-01 +/- 1.39e-02 N TOY = 280 1) RooRealVar:: alpha = -0.302325 +/- 0.216067 2) RooRealVar:: f1 = 0.321458 +/- 0.017379 3) RooRealVar:: f2 = 0.29996 +/- 0.0168768 4) RooRealVar:: NLL = 8910.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.429477 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.294932 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.289828 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216067 10) RooRealVar:: alphapull = 0.588489 11) RooRealVar:: f1err = 0.017379 12) RooRealVar:: f1pull = 1.52633 13) RooRealVar:: f2err = 0.0168768 14) RooRealVar:: f2pull = 0.600314 RooFitResult: minimized FCN value: 8910.59, estimated distance to minimum: 9.86659e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.0232e-01 +/- 2.16e-01 f1 4.0000e-01 3.2146e-01 +/- 1.74e-02 f2 2.0000e-01 2.9996e-01 +/- 1.69e-02 N TOY = 281 1) RooRealVar:: alpha = -1.48904 +/- 0.186198 2) RooRealVar:: f1 = 0.434595 +/- 0.0177182 3) RooRealVar:: f2 = 0.196802 +/- 0.0169671 4) RooRealVar:: NLL = 8803.21 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.5037 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.447343 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.19503 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186198 10) RooRealVar:: alphapull = 0.0787563 11) RooRealVar:: f1err = 0.0177182 12) RooRealVar:: f1pull = -0.719501 13) RooRealVar:: f2err = 0.0169671 14) RooRealVar:: f2pull = 0.104438 RooFitResult: minimized FCN value: 8803.21, estimated distance to minimum: 5.87421e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4890e+00 +/- 1.86e-01 f1 4.0000e-01 4.3460e-01 +/- 1.77e-02 f2 2.0000e-01 1.9680e-01 +/- 1.70e-02 N TOY = 282 1) RooRealVar:: alpha = -0.663192 +/- 0.225797 2) RooRealVar:: f1 = 0.403151 +/- 0.0173542 3) RooRealVar:: f2 = 0.269099 +/- 0.0165827 4) RooRealVar:: NLL = 8816.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.784812 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.375608 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.286391 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.225797 10) RooRealVar:: alphapull = 0.538625 11) RooRealVar:: f1err = 0.0173542 12) RooRealVar:: f1pull = 1.58709 13) RooRealVar:: f2err = 0.0165827 14) RooRealVar:: f2pull = -1.0428 RooFitResult: minimized FCN value: 8816.55, estimated distance to minimum: 2.24925e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.6319e-01 +/- 2.26e-01 f1 4.0000e-01 4.0315e-01 +/- 1.74e-02 f2 2.0000e-01 2.6910e-01 +/- 1.66e-02 N TOY = 283 1) RooRealVar:: alpha = -1.30677 +/- 0.207267 2) RooRealVar:: f1 = 0.447022 +/- 0.0177258 3) RooRealVar:: f2 = 0.218338 +/- 0.0167486 4) RooRealVar:: NLL = 8773.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.54174 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.434666 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211255 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.207267 10) RooRealVar:: alphapull = 1.13365 11) RooRealVar:: f1err = 0.0177258 12) RooRealVar:: f1pull = 0.697049 13) RooRealVar:: f2err = 0.0167486 14) RooRealVar:: f2pull = 0.422885 RooFitResult: minimized FCN value: 8773.22, estimated distance to minimum: 1.32283e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3068e+00 +/- 2.07e-01 f1 4.0000e-01 4.4702e-01 +/- 1.77e-02 f2 2.0000e-01 2.1834e-01 +/- 1.67e-02 N TOY = 284 1) RooRealVar:: alpha = 0.525868 +/- 0.225742 2) RooRealVar:: f1 = 0.364766 +/- 0.0177606 3) RooRealVar:: f2 = 0.202674 +/- 0.0150266 4) RooRealVar:: NLL = 8915.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.552819 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.359403 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.185567 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.225742 10) RooRealVar:: alphapull = -0.119389 11) RooRealVar:: f1err = 0.0177606 12) RooRealVar:: f1pull = 0.301938 13) RooRealVar:: f2err = 0.0150266 14) RooRealVar:: f2pull = 1.13841 RooFitResult: minimized FCN value: 8915.17, estimated distance to minimum: 4.32173e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.2587e-01 +/- 2.26e-01 f1 4.0000e-01 3.6477e-01 +/- 1.78e-02 f2 2.0000e-01 2.0267e-01 +/- 1.50e-02 N TOY = 285 1) RooRealVar:: alpha = 0.728413 +/- 0.318883 2) RooRealVar:: f1 = 0.541614 +/- 0.0168566 3) RooRealVar:: f2 = 0.197097 +/- 0.0144934 4) RooRealVar:: NLL = 8671.1 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.03005 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.533051 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.207712 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.318883 10) RooRealVar:: alphapull = -0.945908 11) RooRealVar:: f1err = 0.0168566 12) RooRealVar:: f1pull = 0.507957 13) RooRealVar:: f2err = 0.0144934 14) RooRealVar:: f2pull = -0.732388 RooFitResult: minimized FCN value: 8671.1, estimated distance to minimum: 9.82765e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.2841e-01 +/- 3.19e-01 f1 4.0000e-01 5.4161e-01 +/- 1.69e-02 f2 2.0000e-01 1.9710e-01 +/- 1.45e-02 N TOY = 286 1) RooRealVar:: alpha = 0.0749398 +/- 0.226134 2) RooRealVar:: f1 = 0.412409 +/- 0.0180601 3) RooRealVar:: f2 = 0.166913 +/- 0.0148994 4) RooRealVar:: NLL = 8886.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.297458 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38844 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.151765 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226134 10) RooRealVar:: alphapull = 1.64681 11) RooRealVar:: f1err = 0.0180601 12) RooRealVar:: f1pull = 1.32723 13) RooRealVar:: f2err = 0.0148994 14) RooRealVar:: f2pull = 1.01667 RooFitResult: minimized FCN value: 8886.33, estimated distance to minimum: 3.26884e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.4940e-02 +/- 2.26e-01 f1 4.0000e-01 4.1241e-01 +/- 1.81e-02 f2 2.0000e-01 1.6691e-01 +/- 1.49e-02 N TOY = 287 1) RooRealVar:: alpha = 0.301411 +/- 0.29304 2) RooRealVar:: f1 = 0.525463 +/- 0.0173242 3) RooRealVar:: f2 = 0.182348 +/- 0.0146288 4) RooRealVar:: NLL = 8702.86 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.472651 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.533681 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.180764 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.29304 10) RooRealVar:: alphapull = -0.584358 11) RooRealVar:: f1err = 0.0173242 12) RooRealVar:: f1pull = -0.474354 13) RooRealVar:: f2err = 0.0146288 14) RooRealVar:: f2pull = 0.108249 RooFitResult: minimized FCN value: 8702.86, estimated distance to minimum: 1.5823e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.0141e-01 +/- 2.93e-01 f1 4.0000e-01 5.2546e-01 +/- 1.73e-02 f2 2.0000e-01 1.8235e-01 +/- 1.46e-02 N TOY = 288 1) RooRealVar:: alpha = 0.975317 +/- 0.275272 2) RooRealVar:: f1 = 0.408507 +/- 0.0174434 3) RooRealVar:: f2 = 0.218889 +/- 0.0149362 4) RooRealVar:: NLL = 8865.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.656547 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.438736 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.225533 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.275272 10) RooRealVar:: alphapull = 1.15802 11) RooRealVar:: f1err = 0.0174434 12) RooRealVar:: f1pull = -1.73301 13) RooRealVar:: f2err = 0.0149362 14) RooRealVar:: f2pull = -0.44479 RooFitResult: minimized FCN value: 8865.15, estimated distance to minimum: 1.16101e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.7532e-01 +/- 2.75e-01 f1 4.0000e-01 4.0851e-01 +/- 1.74e-02 f2 2.0000e-01 2.1889e-01 +/- 1.49e-02 N TOY = 289 1) RooRealVar:: alpha = 1.60926 +/- 0.195079 2) RooRealVar:: f1 = 0.257059 +/- 0.0164932 3) RooRealVar:: f2 = 0.215283 +/- 0.0143259 4) RooRealVar:: NLL = 8931.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.4877 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.23926 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.230431 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195079 10) RooRealVar:: alphapull = 0.623108 11) RooRealVar:: f1err = 0.0164932 12) RooRealVar:: f1pull = 1.07917 13) RooRealVar:: f2err = 0.0143259 14) RooRealVar:: f2pull = -1.0574 RooFitResult: minimized FCN value: 8931.38, estimated distance to minimum: 7.57369e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6093e+00 +/- 1.95e-01 f1 4.0000e-01 2.5706e-01 +/- 1.65e-02 f2 2.0000e-01 2.1528e-01 +/- 1.43e-02 N TOY = 290 1) RooRealVar:: alpha = -0.368069 +/- 0.16615 2) RooRealVar:: f1 = 0.395237 +/- 0.0173286 3) RooRealVar:: f2 = 0.116579 +/- 0.0155084 4) RooRealVar:: NLL = 8923.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0692418 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.412869 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.122007 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.16615 10) RooRealVar:: alphapull = -1.79854 11) RooRealVar:: f1err = 0.0173286 12) RooRealVar:: f1pull = -1.01749 13) RooRealVar:: f2err = 0.0155084 14) RooRealVar:: f2pull = -0.349987 RooFitResult: minimized FCN value: 8923.8, estimated distance to minimum: 1.457e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.6807e-01 +/- 1.66e-01 f1 4.0000e-01 3.9524e-01 +/- 1.73e-02 f2 2.0000e-01 1.1658e-01 +/- 1.55e-02 N TOY = 291 1) RooRealVar:: alpha = 0.304921 +/- 0.226561 2) RooRealVar:: f1 = 0.345445 +/- 0.0177078 3) RooRealVar:: f2 = 0.229491 +/- 0.01552 4) RooRealVar:: NLL = 8943.04 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.342739 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.372013 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.22684 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226561 10) RooRealVar:: alphapull = -0.166922 11) RooRealVar:: f1err = 0.0177078 12) RooRealVar:: f1pull = -1.50041 13) RooRealVar:: f2err = 0.01552 14) RooRealVar:: f2pull = 0.170807 RooFitResult: minimized FCN value: 8943.04, estimated distance to minimum: 4.05776e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.0492e-01 +/- 2.27e-01 f1 4.0000e-01 3.4544e-01 +/- 1.77e-02 f2 2.0000e-01 2.2949e-01 +/- 1.55e-02 N TOY = 292 1) RooRealVar:: alpha = 0.313413 +/- 0.242964 2) RooRealVar:: f1 = 0.351945 +/- 0.0177607 3) RooRealVar:: f2 = 0.23081 +/- 0.0155958 4) RooRealVar:: NLL = 8938.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0734423 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.355087 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219972 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242964 10) RooRealVar:: alphapull = 0.987681 11) RooRealVar:: f1err = 0.0177607 12) RooRealVar:: f1pull = -0.176895 13) RooRealVar:: f2err = 0.0155958 14) RooRealVar:: f2pull = 0.694987 RooFitResult: minimized FCN value: 8938.97, estimated distance to minimum: 8.89034e-10 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.1341e-01 +/- 2.43e-01 f1 4.0000e-01 3.5195e-01 +/- 1.78e-02 f2 2.0000e-01 2.3081e-01 +/- 1.56e-02 N TOY = 293 1) RooRealVar:: alpha = 0.539869 +/- 0.205099 2) RooRealVar:: f1 = 0.312118 +/- 0.0176534 3) RooRealVar:: f2 = 0.180375 +/- 0.0150965 4) RooRealVar:: NLL = 8973.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0851894 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.277663 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.178267 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.205099 10) RooRealVar:: alphapull = 2.21688 11) RooRealVar:: f1err = 0.0176534 12) RooRealVar:: f1pull = 1.95174 13) RooRealVar:: f2err = 0.0150965 14) RooRealVar:: f2pull = 0.13966 RooFitResult: minimized FCN value: 8973.06, estimated distance to minimum: 1.75334e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.3987e-01 +/- 2.05e-01 f1 4.0000e-01 3.1212e-01 +/- 1.77e-02 f2 2.0000e-01 1.8038e-01 +/- 1.51e-02 N TOY = 294 1) RooRealVar:: alpha = 0.43168 +/- 0.258793 2) RooRealVar:: f1 = 0.355601 +/- 0.017862 3) RooRealVar:: f2 = 0.254499 +/- 0.0155429 4) RooRealVar:: NLL = 8912.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.383541 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.368327 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.250065 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.258793 10) RooRealVar:: alphapull = 0.186014 11) RooRealVar:: f1err = 0.017862 12) RooRealVar:: f1pull = -0.712506 13) RooRealVar:: f2err = 0.0155429 14) RooRealVar:: f2pull = 0.285288 RooFitResult: minimized FCN value: 8912.16, estimated distance to minimum: 9e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.3168e-01 +/- 2.59e-01 f1 4.0000e-01 3.5560e-01 +/- 1.79e-02 f2 2.0000e-01 2.5450e-01 +/- 1.55e-02 N TOY = 295 1) RooRealVar:: alpha = 0.553359 +/- 0.226396 2) RooRealVar:: f1 = 0.285398 +/- 0.0178036 3) RooRealVar:: f2 = 0.215302 +/- 0.0155511 4) RooRealVar:: NLL = 8990.43 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.375171 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.287083 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.179688 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226396 10) RooRealVar:: alphapull = 0.787064 11) RooRealVar:: f1err = 0.0178036 12) RooRealVar:: f1pull = -0.0946327 13) RooRealVar:: f2err = 0.0155511 14) RooRealVar:: f2pull = 2.29013 RooFitResult: minimized FCN value: 8990.43, estimated distance to minimum: 1.14062e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.5336e-01 +/- 2.26e-01 f1 4.0000e-01 2.8540e-01 +/- 1.78e-02 f2 2.0000e-01 2.1530e-01 +/- 1.56e-02 N TOY = 296 1) RooRealVar:: alpha = -1.27888 +/- 0.240866 2) RooRealVar:: f1 = 0.497465 +/- 0.0174179 3) RooRealVar:: f2 = 0.232637 +/- 0.016882 4) RooRealVar:: NLL = 8692.26 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.55826 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.485083 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.238414 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.240866 10) RooRealVar:: alphapull = 1.1599 11) RooRealVar:: f1err = 0.0174179 12) RooRealVar:: f1pull = 0.710884 13) RooRealVar:: f2err = 0.016882 14) RooRealVar:: f2pull = -0.342207 RooFitResult: minimized FCN value: 8692.26, estimated distance to minimum: 1.85199e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2789e+00 +/- 2.41e-01 f1 4.0000e-01 4.9746e-01 +/- 1.74e-02 f2 2.0000e-01 2.3264e-01 +/- 1.69e-02 N TOY = 297 1) RooRealVar:: alpha = -0.229407 +/- 0.202782 2) RooRealVar:: f1 = 0.348304 +/- 0.0173314 3) RooRealVar:: f2 = 0.243142 +/- 0.0165186 4) RooRealVar:: NLL = 8928.45 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.41977 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.315862 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.238535 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.202782 10) RooRealVar:: alphapull = 0.938762 11) RooRealVar:: f1err = 0.0173314 12) RooRealVar:: f1pull = 1.87188 13) RooRealVar:: f2err = 0.0165186 14) RooRealVar:: f2pull = 0.278888 RooFitResult: minimized FCN value: 8928.45, estimated distance to minimum: 1.11425e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.2941e-01 +/- 2.03e-01 f1 4.0000e-01 3.4830e-01 +/- 1.73e-02 f2 2.0000e-01 2.4314e-01 +/- 1.65e-02 N TOY = 298 1) RooRealVar:: alpha = 0.0988005 +/- 0.278698 2) RooRealVar:: f1 = 0.51528 +/- 0.0175977 3) RooRealVar:: f2 = 0.161576 +/- 0.0148615 4) RooRealVar:: NLL = 8738.12 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.537416 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.540779 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.161695 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.278698 10) RooRealVar:: alphapull = -1.5738 11) RooRealVar:: f1err = 0.0175977 12) RooRealVar:: f1pull = -1.44899 13) RooRealVar:: f2err = 0.0148615 14) RooRealVar:: f2pull = -0.00801642 RooFitResult: minimized FCN value: 8738.12, estimated distance to minimum: 8.36893e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.8801e-02 +/- 2.79e-01 f1 4.0000e-01 5.1528e-01 +/- 1.76e-02 f2 2.0000e-01 1.6158e-01 +/- 1.49e-02 N TOY = 299 1) RooRealVar:: alpha = -1.15645 +/- 0.193233 2) RooRealVar:: f1 = 0.404466 +/- 0.0179536 3) RooRealVar:: f2 = 0.213742 +/- 0.0170704 4) RooRealVar:: NLL = 8856.9 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.31021 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.389411 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.220345 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.193233 10) RooRealVar:: alphapull = 0.795716 11) RooRealVar:: f1err = 0.0179536 12) RooRealVar:: f1pull = 0.838592 13) RooRealVar:: f2err = 0.0170704 14) RooRealVar:: f2pull = -0.386828 RooFitResult: minimized FCN value: 8856.9, estimated distance to minimum: 4.4948e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1565e+00 +/- 1.93e-01 f1 4.0000e-01 4.0447e-01 +/- 1.80e-02 f2 2.0000e-01 2.1374e-01 +/- 1.71e-02 N TOY = 300 1) RooRealVar:: alpha = 1.50232 +/- 0.186449 2) RooRealVar:: f1 = 0.317069 +/- 0.0165761 3) RooRealVar:: f2 = 0.195562 +/- 0.0140188 4) RooRealVar:: NLL = 8900.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.59897 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.337177 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177212 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186449 10) RooRealVar:: alphapull = -0.518395 11) RooRealVar:: f1err = 0.0165761 12) RooRealVar:: f1pull = -1.21305 13) RooRealVar:: f2err = 0.0140188 14) RooRealVar:: f2pull = 1.30893 RooFitResult: minimized FCN value: 8900.2, estimated distance to minimum: 1.50273e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5023e+00 +/- 1.86e-01 f1 4.0000e-01 3.1707e-01 +/- 1.66e-02 f2 2.0000e-01 1.9556e-01 +/- 1.40e-02 N TOY = 301 1) RooRealVar:: alpha = 1.35345 +/- 0.223432 2) RooRealVar:: f1 = 0.460988 +/- 0.0167422 3) RooRealVar:: f2 = 0.15705 +/- 0.0134688 4) RooRealVar:: NLL = 8793.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.07717 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.459486 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.154931 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.223432 10) RooRealVar:: alphapull = 1.23651 11) RooRealVar:: f1err = 0.0167422 12) RooRealVar:: f1pull = 0.089674 13) RooRealVar:: f2err = 0.0134688 14) RooRealVar:: f2pull = 0.157311 RooFitResult: minimized FCN value: 8793.37, estimated distance to minimum: 6.13427e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3534e+00 +/- 2.23e-01 f1 4.0000e-01 4.6099e-01 +/- 1.67e-02 f2 2.0000e-01 1.5705e-01 +/- 1.35e-02 N TOY = 302 1) RooRealVar:: alpha = 0.0222421 +/- 0.228963 2) RooRealVar:: f1 = 0.35933 +/- 0.0181477 3) RooRealVar:: f2 = 0.203481 +/- 0.0155317 4) RooRealVar:: NLL = 8938.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.300639 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.353394 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187882 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.228963 10) RooRealVar:: alphapull = 1.41019 11) RooRealVar:: f1err = 0.0181477 12) RooRealVar:: f1pull = 0.327116 13) RooRealVar:: f2err = 0.0155317 14) RooRealVar:: f2pull = 1.00432 RooFitResult: minimized FCN value: 8938.47, estimated distance to minimum: 1.36408e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.2242e-02 +/- 2.29e-01 f1 4.0000e-01 3.5933e-01 +/- 1.81e-02 f2 2.0000e-01 2.0348e-01 +/- 1.55e-02 N TOY = 303 1) RooRealVar:: alpha = 0.654242 +/- 0.255023 2) RooRealVar:: f1 = 0.405212 +/- 0.0177176 3) RooRealVar:: f2 = 0.193191 +/- 0.0148915 4) RooRealVar:: NLL = 8882.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.541607 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.399191 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181154 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.255023 10) RooRealVar:: alphapull = 0.441664 11) RooRealVar:: f1err = 0.0177176 12) RooRealVar:: f1pull = 0.339833 13) RooRealVar:: f2err = 0.0148915 14) RooRealVar:: f2pull = 0.808327 RooFitResult: minimized FCN value: 8882.28, estimated distance to minimum: 7.22009e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.5424e-01 +/- 2.55e-01 f1 4.0000e-01 4.0521e-01 +/- 1.77e-02 f2 2.0000e-01 1.9319e-01 +/- 1.49e-02 N TOY = 304 1) RooRealVar:: alpha = -1.1948 +/- 0.162458 2) RooRealVar:: f1 = 0.301253 +/- 0.0181645 3) RooRealVar:: f2 = 0.184889 +/- 0.0174383 4) RooRealVar:: NLL = 9010.1 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.960849 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363025 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209553 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.162458 10) RooRealVar:: alphapull = -1.44007 11) RooRealVar:: f1err = 0.0181645 12) RooRealVar:: f1pull = -3.40071 13) RooRealVar:: f2err = 0.0174383 14) RooRealVar:: f2pull = -1.41433 RooFitResult: minimized FCN value: 9010.1, estimated distance to minimum: 2.32932e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1948e+00 +/- 1.62e-01 f1 4.0000e-01 3.0125e-01 +/- 1.82e-02 f2 2.0000e-01 1.8489e-01 +/- 1.74e-02 N TOY = 305 1) RooRealVar:: alpha = 1.10701 +/- 0.22518 2) RooRealVar:: f1 = 0.364579 +/- 0.0172626 3) RooRealVar:: f2 = 0.193565 +/- 0.0144336 4) RooRealVar:: NLL = 8900.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.92118 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.377412 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.180443 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.22518 10) RooRealVar:: alphapull = 0.825261 11) RooRealVar:: f1err = 0.0172626 12) RooRealVar:: f1pull = -0.74338 13) RooRealVar:: f2err = 0.0144336 14) RooRealVar:: f2pull = 0.909117 RooFitResult: minimized FCN value: 8900.62, estimated distance to minimum: 3.16918e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1070e+00 +/- 2.25e-01 f1 4.0000e-01 3.6458e-01 +/- 1.73e-02 f2 2.0000e-01 1.9356e-01 +/- 1.44e-02 N TOY = 306 1) RooRealVar:: alpha = 0.566124 +/- 0.176021 2) RooRealVar:: f1 = 0.167667 +/- 0.0172249 3) RooRealVar:: f2 = 0.15838 +/- 0.0151046 4) RooRealVar:: NLL = 9017.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.380918 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.174822 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.151757 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.176021 10) RooRealVar:: alphapull = 1.05218 11) RooRealVar:: f1err = 0.0172249 12) RooRealVar:: f1pull = -0.415393 13) RooRealVar:: f2err = 0.0151046 14) RooRealVar:: f2pull = 0.438532 RooFitResult: minimized FCN value: 9017.62, estimated distance to minimum: 4.85564e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.6612e-01 +/- 1.76e-01 f1 4.0000e-01 1.6767e-01 +/- 1.72e-02 f2 2.0000e-01 1.5838e-01 +/- 1.51e-02 N TOY = 307 1) RooRealVar:: alpha = -0.455782 +/- 0.182629 2) RooRealVar:: f1 = 0.287376 +/- 0.0176785 3) RooRealVar:: f2 = 0.216864 +/- 0.0170489 4) RooRealVar:: NLL = 9016.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.216541 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.300075 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219828 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.182629 10) RooRealVar:: alphapull = -1.30998 11) RooRealVar:: f1err = 0.0176785 12) RooRealVar:: f1pull = -0.718317 13) RooRealVar:: f2err = 0.0170489 14) RooRealVar:: f2pull = -0.173802 RooFitResult: minimized FCN value: 9016.69, estimated distance to minimum: 0.000124878 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.5578e-01 +/- 1.83e-01 f1 4.0000e-01 2.8738e-01 +/- 1.77e-02 f2 2.0000e-01 2.1686e-01 +/- 1.70e-02 N TOY = 308 1) RooRealVar:: alpha = -0.189994 +/- 0.220906 2) RooRealVar:: f1 = 0.44616 +/- 0.01725 3) RooRealVar:: f2 = 0.212826 +/- 0.0158143 4) RooRealVar:: NLL = 8813.21 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.255806 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.475822 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208828 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.220906 10) RooRealVar:: alphapull = -2.01806 11) RooRealVar:: f1err = 0.01725 12) RooRealVar:: f1pull = -1.71956 13) RooRealVar:: f2err = 0.0158143 14) RooRealVar:: f2pull = 0.252801 RooFitResult: minimized FCN value: 8813.21, estimated distance to minimum: 0.00018997 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8999e-01 +/- 2.21e-01 f1 4.0000e-01 4.4616e-01 +/- 1.73e-02 f2 2.0000e-01 2.1283e-01 +/- 1.58e-02 N TOY = 309 1) RooRealVar:: alpha = 0.746286 +/- 0.244522 2) RooRealVar:: f1 = 0.295409 +/- 0.0175761 3) RooRealVar:: f2 = 0.261692 +/- 0.0155489 4) RooRealVar:: NLL = 8957.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.16922 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.310255 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.257743 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.244522 10) RooRealVar:: alphapull = -1.72963 11) RooRealVar:: f1err = 0.0175761 12) RooRealVar:: f1pull = -0.844697 13) RooRealVar:: f2err = 0.0155489 14) RooRealVar:: f2pull = 0.253923 RooFitResult: minimized FCN value: 8957.46, estimated distance to minimum: 4.09071e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.4629e-01 +/- 2.45e-01 f1 4.0000e-01 2.9541e-01 +/- 1.76e-02 f2 2.0000e-01 2.6169e-01 +/- 1.55e-02 N TOY = 310 1) RooRealVar:: alpha = -1.18448 +/- 0.175894 2) RooRealVar:: f1 = 0.384969 +/- 0.0181464 3) RooRealVar:: f2 = 0.181194 +/- 0.0166219 4) RooRealVar:: NLL = 8918.86 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.00564 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.374078 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.179755 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175894 10) RooRealVar:: alphapull = -1.01671 11) RooRealVar:: f1err = 0.0181464 12) RooRealVar:: f1pull = 0.600128 13) RooRealVar:: f2err = 0.0166219 14) RooRealVar:: f2pull = 0.086589 RooFitResult: minimized FCN value: 8918.86, estimated distance to minimum: 2.83929e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1845e+00 +/- 1.76e-01 f1 4.0000e-01 3.8497e-01 +/- 1.81e-02 f2 2.0000e-01 1.8119e-01 +/- 1.66e-02 N TOY = 311 1) RooRealVar:: alpha = -0.56879 +/- 0.20246 2) RooRealVar:: f1 = 0.323798 +/- 0.0175914 3) RooRealVar:: f2 = 0.255552 +/- 0.0171357 4) RooRealVar:: NLL = 8945.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.302447 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.314894 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.273881 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20246 10) RooRealVar:: alphapull = -1.31553 11) RooRealVar:: f1err = 0.0175914 12) RooRealVar:: f1pull = 0.506183 13) RooRealVar:: f2err = 0.0171357 14) RooRealVar:: f2pull = -1.06962 RooFitResult: minimized FCN value: 8945.17, estimated distance to minimum: 4.37708e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.6879e-01 +/- 2.02e-01 f1 4.0000e-01 3.2380e-01 +/- 1.76e-02 f2 2.0000e-01 2.5555e-01 +/- 1.71e-02 N TOY = 312 1) RooRealVar:: alpha = 0.778018 +/- 0.369005 2) RooRealVar:: f1 = 0.482438 +/- 0.0175893 3) RooRealVar:: f2 = 0.270923 +/- 0.0151127 4) RooRealVar:: NLL = 8707.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.571648 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.521913 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.234214 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.369005 10) RooRealVar:: alphapull = 0.559261 11) RooRealVar:: f1err = 0.0175893 12) RooRealVar:: f1pull = -2.24425 13) RooRealVar:: f2err = 0.0151127 14) RooRealVar:: f2pull = 2.42901 RooFitResult: minimized FCN value: 8707.16, estimated distance to minimum: 1.51745e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.7802e-01 +/- 3.69e-01 f1 4.0000e-01 4.8244e-01 +/- 1.76e-02 f2 2.0000e-01 2.7092e-01 +/- 1.51e-02 N TOY = 313 1) RooRealVar:: alpha = -0.208927 +/- 0.224063 2) RooRealVar:: f1 = 0.438081 +/- 0.0172591 3) RooRealVar:: f2 = 0.206582 +/- 0.0160805 4) RooRealVar:: NLL = 8837.45 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.451882 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.439735 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211796 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.224063 10) RooRealVar:: alphapull = 1.08431 11) RooRealVar:: f1err = 0.0172591 12) RooRealVar:: f1pull = -0.0957936 13) RooRealVar:: f2err = 0.0160805 14) RooRealVar:: f2pull = -0.324243 RooFitResult: minimized FCN value: 8837.45, estimated distance to minimum: 3.71062e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.0893e-01 +/- 2.24e-01 f1 4.0000e-01 4.3808e-01 +/- 1.73e-02 f2 2.0000e-01 2.0658e-01 +/- 1.61e-02 N TOY = 314 1) RooRealVar:: alpha = 2.3518 +/- 0.249317 2) RooRealVar:: f1 = 0.361699 +/- 0.0163085 3) RooRealVar:: f2 = 0.211745 +/- 0.0142975 4) RooRealVar:: NLL = 8855.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.96929 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.345994 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.207041 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.249317 10) RooRealVar:: alphapull = 1.53422 11) RooRealVar:: f1err = 0.0163085 12) RooRealVar:: f1pull = 0.962986 13) RooRealVar:: f2err = 0.0142975 14) RooRealVar:: f2pull = 0.328983 RooFitResult: minimized FCN value: 8855.56, estimated distance to minimum: 1.15714e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.3518e+00 +/- 2.49e-01 f1 4.0000e-01 3.6170e-01 +/- 1.63e-02 f2 2.0000e-01 2.1175e-01 +/- 1.43e-02 N TOY = 315 1) RooRealVar:: alpha = -1.85688 +/- 0.130596 2) RooRealVar:: f1 = 0.335754 +/- 0.0186893 3) RooRealVar:: f2 = 0.0787174 +/- 0.0173634 4) RooRealVar:: NLL = 9004.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.89551 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.328855 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.0610461 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.130596 10) RooRealVar:: alphapull = 0.295798 11) RooRealVar:: f1err = 0.0186893 12) RooRealVar:: f1pull = 0.369159 13) RooRealVar:: f2err = 0.0173634 14) RooRealVar:: f2pull = 1.01773 RooFitResult: minimized FCN value: 9004.78, estimated distance to minimum: 0.000161187 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8569e+00 +/- 1.31e-01 f1 4.0000e-01 3.3575e-01 +/- 1.87e-02 f2 2.0000e-01 7.8717e-02 +/- 1.74e-02 N TOY = 316 1) RooRealVar:: alpha = -0.170044 +/- 0.246443 2) RooRealVar:: f1 = 0.431954 +/- 0.0172777 3) RooRealVar:: f2 = 0.25721 +/- 0.0161675 4) RooRealVar:: NLL = 8805.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.773334 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.431643 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232261 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.246443 10) RooRealVar:: alphapull = 2.44799 11) RooRealVar:: f1err = 0.0172777 12) RooRealVar:: f1pull = 0.0180176 13) RooRealVar:: f2err = 0.0161675 14) RooRealVar:: f2pull = 1.54318 RooFitResult: minimized FCN value: 8805.46, estimated distance to minimum: 1.85427e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7004e-01 +/- 2.46e-01 f1 4.0000e-01 4.3195e-01 +/- 1.73e-02 f2 2.0000e-01 2.5721e-01 +/- 1.62e-02 N TOY = 317 1) RooRealVar:: alpha = 1.48833 +/- 0.200513 2) RooRealVar:: f1 = 0.340124 +/- 0.0168184 3) RooRealVar:: f2 = 0.129567 +/- 0.0137335 4) RooRealVar:: NLL = 8873.73 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.26027 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.322702 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.130187 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200513 10) RooRealVar:: alphapull = 1.13741 11) RooRealVar:: f1err = 0.0168184 12) RooRealVar:: f1pull = 1.0359 13) RooRealVar:: f2err = 0.0137335 14) RooRealVar:: f2pull = -0.0451517 RooFitResult: minimized FCN value: 8873.73, estimated distance to minimum: 1.02808e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4883e+00 +/- 2.01e-01 f1 4.0000e-01 3.4012e-01 +/- 1.68e-02 f2 2.0000e-01 1.2957e-01 +/- 1.37e-02 N TOY = 318 1) RooRealVar:: alpha = -0.886648 +/- 0.205733 2) RooRealVar:: f1 = 0.474513 +/- 0.0176276 3) RooRealVar:: f2 = 0.156616 +/- 0.0163695 4) RooRealVar:: NLL = 8800.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.1982 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.49245 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.10433 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.205733 10) RooRealVar:: alphapull = 1.51437 11) RooRealVar:: f1err = 0.0176276 12) RooRealVar:: f1pull = -1.01756 13) RooRealVar:: f2err = 0.0163695 14) RooRealVar:: f2pull = 3.19414 RooFitResult: minimized FCN value: 8800.11, estimated distance to minimum: 3.01567e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.8665e-01 +/- 2.06e-01 f1 4.0000e-01 4.7451e-01 +/- 1.76e-02 f2 2.0000e-01 1.5662e-01 +/- 1.64e-02 N TOY = 319 1) RooRealVar:: alpha = -0.865071 +/- 0.194498 2) RooRealVar:: f1 = 0.426591 +/- 0.0175831 3) RooRealVar:: f2 = 0.204213 +/- 0.0163675 4) RooRealVar:: NLL = 8836.87 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.640741 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.430307 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.216616 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.194498 10) RooRealVar:: alphapull = -1.15338 11) RooRealVar:: f1err = 0.0175831 12) RooRealVar:: f1pull = -0.211318 13) RooRealVar:: f2err = 0.0163675 14) RooRealVar:: f2pull = -0.757803 RooFitResult: minimized FCN value: 8836.87, estimated distance to minimum: 7.27846e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.6507e-01 +/- 1.94e-01 f1 4.0000e-01 4.2659e-01 +/- 1.76e-02 f2 2.0000e-01 2.0421e-01 +/- 1.64e-02 N TOY = 320 1) RooRealVar:: alpha = 2.7082 +/- 0.431539 2) RooRealVar:: f1 = 0.536575 +/- 0.0160113 3) RooRealVar:: f2 = 0.21695 +/- 0.0140797 4) RooRealVar:: NLL = 8676.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.61668 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.529572 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217969 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.431539 10) RooRealVar:: alphapull = 0.212063 11) RooRealVar:: f1err = 0.0160113 12) RooRealVar:: f1pull = 0.437375 13) RooRealVar:: f2err = 0.0140797 14) RooRealVar:: f2pull = -0.0723831 RooFitResult: minimized FCN value: 8676.97, estimated distance to minimum: 3.18304e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.7082e+00 +/- 4.32e-01 f1 4.0000e-01 5.3657e-01 +/- 1.60e-02 f2 2.0000e-01 2.1695e-01 +/- 1.41e-02 N TOY = 321 1) RooRealVar:: alpha = -0.868431 +/- 0.20725 2) RooRealVar:: f1 = 0.411536 +/- 0.0175562 3) RooRealVar:: f2 = 0.240777 +/- 0.0165582 4) RooRealVar:: NLL = 8829.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.944364 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.407602 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23513 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20725 10) RooRealVar:: alphapull = 0.366385 11) RooRealVar:: f1err = 0.0175562 12) RooRealVar:: f1pull = 0.224066 13) RooRealVar:: f2err = 0.0165582 14) RooRealVar:: f2pull = 0.34102 RooFitResult: minimized FCN value: 8829.96, estimated distance to minimum: 1.47466e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.6843e-01 +/- 2.07e-01 f1 4.0000e-01 4.1154e-01 +/- 1.76e-02 f2 2.0000e-01 2.4078e-01 +/- 1.66e-02 N TOY = 322 1) RooRealVar:: alpha = -0.540973 +/- 0.186777 2) RooRealVar:: f1 = 0.399931 +/- 0.0174328 3) RooRealVar:: f2 = 0.163973 +/- 0.0162571 4) RooRealVar:: NLL = 8910.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.443927 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.384102 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.191701 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.186777 10) RooRealVar:: alphapull = -0.519586 11) RooRealVar:: f1err = 0.0174328 12) RooRealVar:: f1pull = 0.908039 13) RooRealVar:: f2err = 0.0162571 14) RooRealVar:: f2pull = -1.7056 RooFitResult: minimized FCN value: 8910.53, estimated distance to minimum: 2.32961e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.4097e-01 +/- 1.87e-01 f1 4.0000e-01 3.9993e-01 +/- 1.74e-02 f2 2.0000e-01 1.6397e-01 +/- 1.63e-02 N TOY = 323 1) RooRealVar:: alpha = -1.04772 +/- 0.175115 2) RooRealVar:: f1 = 0.333495 +/- 0.0179678 3) RooRealVar:: f2 = 0.203602 +/- 0.0174741 4) RooRealVar:: NLL = 8966.39 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.944357 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.347445 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.199306 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175115 10) RooRealVar:: alphapull = -0.59027 11) RooRealVar:: f1err = 0.0179678 12) RooRealVar:: f1pull = -0.776366 13) RooRealVar:: f2err = 0.0174741 14) RooRealVar:: f2pull = 0.245831 RooFitResult: minimized FCN value: 8966.39, estimated distance to minimum: 7.81813e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0477e+00 +/- 1.75e-01 f1 4.0000e-01 3.3350e-01 +/- 1.80e-02 f2 2.0000e-01 2.0360e-01 +/- 1.75e-02 N TOY = 324 1) RooRealVar:: alpha = -0.891369 +/- 0.161705 2) RooRealVar:: f1 = 0.21188 +/- 0.0179988 3) RooRealVar:: f2 = 0.239242 +/- 0.0173467 4) RooRealVar:: NLL = 9060.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.856117 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.192342 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.266102 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.161705 10) RooRealVar:: alphapull = -0.217997 11) RooRealVar:: f1err = 0.0179988 12) RooRealVar:: f1pull = 1.08549 13) RooRealVar:: f2err = 0.0173467 14) RooRealVar:: f2pull = -1.54842 RooFitResult: minimized FCN value: 9060.64, estimated distance to minimum: 4.07548e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.9137e-01 +/- 1.62e-01 f1 4.0000e-01 2.1188e-01 +/- 1.80e-02 f2 2.0000e-01 2.3924e-01 +/- 1.73e-02 N TOY = 325 1) RooRealVar:: alpha = -0.52215 +/- 0.21871 2) RooRealVar:: f1 = 0.529819 +/- 0.0170108 3) RooRealVar:: f2 = 0.148286 +/- 0.0153328 4) RooRealVar:: NLL = 8708.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.347777 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.536365 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169884 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.21871 10) RooRealVar:: alphapull = -0.797281 11) RooRealVar:: f1err = 0.0170108 12) RooRealVar:: f1pull = -0.384766 13) RooRealVar:: f2err = 0.0153328 14) RooRealVar:: f2pull = -1.40858 RooFitResult: minimized FCN value: 8708.2, estimated distance to minimum: 1.32176e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.2215e-01 +/- 2.19e-01 f1 4.0000e-01 5.2982e-01 +/- 1.70e-02 f2 2.0000e-01 1.4829e-01 +/- 1.53e-02 N TOY = 326 1) RooRealVar:: alpha = -0.487121 +/- 0.218121 2) RooRealVar:: f1 = 0.466593 +/- 0.017249 3) RooRealVar:: f2 = 0.193067 +/- 0.0161811 4) RooRealVar:: NLL = 8803.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.226327 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.47496 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.194384 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.218121 10) RooRealVar:: alphapull = -1.19564 11) RooRealVar:: f1err = 0.017249 12) RooRealVar:: f1pull = -0.485076 13) RooRealVar:: f2err = 0.0161811 14) RooRealVar:: f2pull = -0.0813906 RooFitResult: minimized FCN value: 8803.37, estimated distance to minimum: 3.87018e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.8712e-01 +/- 2.18e-01 f1 4.0000e-01 4.6659e-01 +/- 1.72e-02 f2 2.0000e-01 1.9307e-01 +/- 1.62e-02 N TOY = 327 1) RooRealVar:: alpha = -0.731514 +/- 0.206786 2) RooRealVar:: f1 = 0.422019 +/- 0.0177602 3) RooRealVar:: f2 = 0.200088 +/- 0.0165554 4) RooRealVar:: NLL = 8865.94 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.837862 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.427825 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.186779 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.206786 10) RooRealVar:: alphapull = 0.514291 11) RooRealVar:: f1err = 0.0177602 12) RooRealVar:: f1pull = -0.32692 13) RooRealVar:: f2err = 0.0165554 14) RooRealVar:: f2pull = 0.803933 RooFitResult: minimized FCN value: 8865.94, estimated distance to minimum: 1.67442e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.3151e-01 +/- 2.07e-01 f1 4.0000e-01 4.2202e-01 +/- 1.78e-02 f2 2.0000e-01 2.0009e-01 +/- 1.66e-02 N TOY = 328 1) RooRealVar:: alpha = -0.40942 +/- 0.206161 2) RooRealVar:: f1 = 0.408785 +/- 0.0175009 3) RooRealVar:: f2 = 0.202499 +/- 0.0162764 4) RooRealVar:: NLL = 8874.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.161544 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.411257 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208445 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.206161 10) RooRealVar:: alphapull = -1.20235 11) RooRealVar:: f1err = 0.0175009 12) RooRealVar:: f1pull = -0.141293 13) RooRealVar:: f2err = 0.0162764 14) RooRealVar:: f2pull = -0.365305 RooFitResult: minimized FCN value: 8874.07, estimated distance to minimum: 5.71597e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.0942e-01 +/- 2.06e-01 f1 4.0000e-01 4.0878e-01 +/- 1.75e-02 f2 2.0000e-01 2.0250e-01 +/- 1.63e-02 N TOY = 329 1) RooRealVar:: alpha = 0.623662 +/- 0.258326 2) RooRealVar:: f1 = 0.437055 +/- 0.0174457 3) RooRealVar:: f2 = 0.196105 +/- 0.014872 4) RooRealVar:: NLL = 8827.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.916427 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.472056 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195303 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.258326 10) RooRealVar:: alphapull = -1.13331 11) RooRealVar:: f1err = 0.0174457 12) RooRealVar:: f1pull = -2.00627 13) RooRealVar:: f2err = 0.014872 14) RooRealVar:: f2pull = 0.0538754 RooFitResult: minimized FCN value: 8827.22, estimated distance to minimum: 3.06322e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.2366e-01 +/- 2.58e-01 f1 4.0000e-01 4.3706e-01 +/- 1.74e-02 f2 2.0000e-01 1.9610e-01 +/- 1.49e-02 N TOY = 330 1) RooRealVar:: alpha = 0.497347 +/- 0.195361 2) RooRealVar:: f1 = 0.171663 +/- 0.0175428 3) RooRealVar:: f2 = 0.206558 +/- 0.0158101 4) RooRealVar:: NLL = 9035.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.555439 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.161395 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.213108 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195361 10) RooRealVar:: alphapull = -0.297356 11) RooRealVar:: f1err = 0.0175428 12) RooRealVar:: f1pull = 0.585283 13) RooRealVar:: f2err = 0.0158101 14) RooRealVar:: f2pull = -0.414336 RooFitResult: minimized FCN value: 9035.8, estimated distance to minimum: 4.77874e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.9735e-01 +/- 1.95e-01 f1 4.0000e-01 1.7166e-01 +/- 1.75e-02 f2 2.0000e-01 2.0656e-01 +/- 1.58e-02 N TOY = 331 1) RooRealVar:: alpha = 1.58203 +/- 0.260206 2) RooRealVar:: f1 = 0.404065 +/- 0.0167353 3) RooRealVar:: f2 = 0.267896 +/- 0.014535 4) RooRealVar:: NLL = 8827.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.995265 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38173 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.251003 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.260206 10) RooRealVar:: alphapull = 2.25499 11) RooRealVar:: f1err = 0.0167353 12) RooRealVar:: f1pull = 1.33462 13) RooRealVar:: f2err = 0.014535 14) RooRealVar:: f2pull = 1.1622 RooFitResult: minimized FCN value: 8827.07, estimated distance to minimum: 4.89718e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5820e+00 +/- 2.60e-01 f1 4.0000e-01 4.0407e-01 +/- 1.67e-02 f2 2.0000e-01 2.6790e-01 +/- 1.45e-02 N TOY = 332 1) RooRealVar:: alpha = 0.918009 +/- 0.239715 2) RooRealVar:: f1 = 0.446224 +/- 0.0173509 3) RooRealVar:: f2 = 0.133741 +/- 0.014043 4) RooRealVar:: NLL = 8827.14 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.07165 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.441734 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.138466 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.239715 10) RooRealVar:: alphapull = -0.640951 11) RooRealVar:: f1err = 0.0173509 12) RooRealVar:: f1pull = 0.258797 13) RooRealVar:: f2err = 0.014043 14) RooRealVar:: f2pull = -0.336499 RooFitResult: minimized FCN value: 8827.14, estimated distance to minimum: 1.97445e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.1801e-01 +/- 2.40e-01 f1 4.0000e-01 4.4622e-01 +/- 1.74e-02 f2 2.0000e-01 1.3374e-01 +/- 1.40e-02 N TOY = 333 1) RooRealVar:: alpha = 0.22683 +/- 0.270911 2) RooRealVar:: f1 = 0.449879 +/- 0.0176725 3) RooRealVar:: f2 = 0.219277 +/- 0.0152193 4) RooRealVar:: NLL = 8813.41 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.162608 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.469177 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.218753 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.270911 10) RooRealVar:: alphapull = 0.23706 11) RooRealVar:: f1err = 0.0176725 12) RooRealVar:: f1pull = -1.09201 13) RooRealVar:: f2err = 0.0152193 14) RooRealVar:: f2pull = 0.034413 RooFitResult: minimized FCN value: 8813.41, estimated distance to minimum: 1.2753e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.2683e-01 +/- 2.71e-01 f1 4.0000e-01 4.4988e-01 +/- 1.77e-02 f2 2.0000e-01 2.1928e-01 +/- 1.52e-02 N TOY = 334 1) RooRealVar:: alpha = 0.767943 +/- 0.259742 2) RooRealVar:: f1 = 0.4671 +/- 0.0172342 3) RooRealVar:: f2 = 0.174664 +/- 0.0144643 4) RooRealVar:: NLL = 8795.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.366404 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.446668 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.168759 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.259742 10) RooRealVar:: alphapull = 1.54591 11) RooRealVar:: f1err = 0.0172342 12) RooRealVar:: f1pull = 1.18555 13) RooRealVar:: f2err = 0.0144643 14) RooRealVar:: f2pull = 0.408296 RooFitResult: minimized FCN value: 8795.38, estimated distance to minimum: 9.86865e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.6794e-01 +/- 2.60e-01 f1 4.0000e-01 4.6710e-01 +/- 1.72e-02 f2 2.0000e-01 1.7466e-01 +/- 1.45e-02 N TOY = 335 1) RooRealVar:: alpha = 0.430966 +/- 0.196489 2) RooRealVar:: f1 = 0.275916 +/- 0.0176688 3) RooRealVar:: f2 = 0.168788 +/- 0.0151984 4) RooRealVar:: NLL = 9002.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.567521 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.254429 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.193628 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.196489 10) RooRealVar:: alphapull = -0.694971 11) RooRealVar:: f1err = 0.0176688 12) RooRealVar:: f1pull = 1.2161 13) RooRealVar:: f2err = 0.0151984 14) RooRealVar:: f2pull = -1.63439 RooFitResult: minimized FCN value: 9002.38, estimated distance to minimum: 3.14726e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.3097e-01 +/- 1.96e-01 f1 4.0000e-01 2.7592e-01 +/- 1.77e-02 f2 2.0000e-01 1.6879e-01 +/- 1.52e-02 N TOY = 336 1) RooRealVar:: alpha = -0.0586648 +/- 0.313067 2) RooRealVar:: f1 = 0.573153 +/- 0.0160335 3) RooRealVar:: f2 = 0.232182 +/- 0.0151638 4) RooRealVar:: NLL = 8547.83 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.536012 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.571058 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.207234 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.313067 10) RooRealVar:: alphapull = 1.52474 11) RooRealVar:: f1err = 0.0160335 12) RooRealVar:: f1pull = 0.130692 13) RooRealVar:: f2err = 0.0151638 14) RooRealVar:: f2pull = 1.64528 RooFitResult: minimized FCN value: 8547.83, estimated distance to minimum: 6.21776e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.8665e-02 +/- 3.13e-01 f1 4.0000e-01 5.7315e-01 +/- 1.60e-02 f2 2.0000e-01 2.3218e-01 +/- 1.52e-02 N TOY = 337 1) RooRealVar:: alpha = -0.0788987 +/- 0.196001 2) RooRealVar:: f1 = 0.385029 +/- 0.0176008 3) RooRealVar:: f2 = 0.197035 +/- 0.0158509 4) RooRealVar:: NLL = 8911.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.235888 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.420663 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.20348 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.196001 10) RooRealVar:: alphapull = -1.60605 11) RooRealVar:: f1err = 0.0176008 12) RooRealVar:: f1pull = -2.02456 13) RooRealVar:: f2err = 0.0158509 14) RooRealVar:: f2pull = -0.406622 RooFitResult: minimized FCN value: 8911.8, estimated distance to minimum: 7.58784e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8899e-02 +/- 1.96e-01 f1 4.0000e-01 3.8503e-01 +/- 1.76e-02 f2 2.0000e-01 1.9703e-01 +/- 1.59e-02 N TOY = 338 1) RooRealVar:: alpha = 1.02436 +/- 0.222393 2) RooRealVar:: f1 = 0.434645 +/- 0.0170243 3) RooRealVar:: f2 = 0.139947 +/- 0.0139903 4) RooRealVar:: NLL = 8834.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.04084 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.429844 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.140368 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.222393 10) RooRealVar:: alphapull = -0.0741066 11) RooRealVar:: f1err = 0.0170243 12) RooRealVar:: f1pull = 0.281993 13) RooRealVar:: f2err = 0.0139903 14) RooRealVar:: f2pull = -0.030079 RooFitResult: minimized FCN value: 8834.15, estimated distance to minimum: 2.48558e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0244e+00 +/- 2.22e-01 f1 4.0000e-01 4.3464e-01 +/- 1.70e-02 f2 2.0000e-01 1.3995e-01 +/- 1.40e-02 N TOY = 339 1) RooRealVar:: alpha = -0.628434 +/- 0.198658 2) RooRealVar:: f1 = 0.462824 +/- 0.0174777 3) RooRealVar:: f2 = 0.163196 +/- 0.0158892 4) RooRealVar:: NLL = 8819.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.733166 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.472439 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.150175 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.198658 10) RooRealVar:: alphapull = 0.5272 11) RooRealVar:: f1err = 0.0174777 12) RooRealVar:: f1pull = -0.550163 13) RooRealVar:: f2err = 0.0158892 14) RooRealVar:: f2pull = 0.81947 RooFitResult: minimized FCN value: 8819.55, estimated distance to minimum: 9.32716e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.2843e-01 +/- 1.99e-01 f1 4.0000e-01 4.6282e-01 +/- 1.75e-02 f2 2.0000e-01 1.6320e-01 +/- 1.59e-02 N TOY = 340 1) RooRealVar:: alpha = -0.703014 +/- 0.211849 2) RooRealVar:: f1 = 0.437495 +/- 0.0176108 3) RooRealVar:: f2 = 0.209161 +/- 0.0165266 4) RooRealVar:: NLL = 8823.77 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.281802 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.411589 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.230707 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.211849 10) RooRealVar:: alphapull = -1.98827 11) RooRealVar:: f1err = 0.0176108 12) RooRealVar:: f1pull = 1.47106 13) RooRealVar:: f2err = 0.0165266 14) RooRealVar:: f2pull = -1.3037 RooFitResult: minimized FCN value: 8823.77, estimated distance to minimum: 1.28475e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.0301e-01 +/- 2.12e-01 f1 4.0000e-01 4.3750e-01 +/- 1.76e-02 f2 2.0000e-01 2.0916e-01 +/- 1.65e-02 N TOY = 341 1) RooRealVar:: alpha = 0.586122 +/- 0.237963 2) RooRealVar:: f1 = 0.390287 +/- 0.0176603 3) RooRealVar:: f2 = 0.184574 +/- 0.0152888 4) RooRealVar:: NLL = 8899.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.425669 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.384653 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18832 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.237963 10) RooRealVar:: alphapull = 0.674277 11) RooRealVar:: f1err = 0.0176603 12) RooRealVar:: f1pull = 0.319025 13) RooRealVar:: f2err = 0.0152888 14) RooRealVar:: f2pull = -0.245017 RooFitResult: minimized FCN value: 8899.47, estimated distance to minimum: 0.000104485 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.8612e-01 +/- 2.38e-01 f1 4.0000e-01 3.9029e-01 +/- 1.77e-02 f2 2.0000e-01 1.8457e-01 +/- 1.53e-02 N TOY = 342 1) RooRealVar:: alpha = 0.283755 +/- 0.26262 2) RooRealVar:: f1 = 0.457687 +/- 0.01761 3) RooRealVar:: f2 = 0.191369 +/- 0.0150781 4) RooRealVar:: NLL = 8816.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.320637 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.475521 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.170649 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.26262 10) RooRealVar:: alphapull = -0.140437 11) RooRealVar:: f1err = 0.01761 12) RooRealVar:: f1pull = -1.01271 13) RooRealVar:: f2err = 0.0150781 14) RooRealVar:: f2pull = 1.37413 RooFitResult: minimized FCN value: 8816.55, estimated distance to minimum: 2.41857e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.8376e-01 +/- 2.63e-01 f1 4.0000e-01 4.5769e-01 +/- 1.76e-02 f2 2.0000e-01 1.9137e-01 +/- 1.51e-02 N TOY = 343 1) RooRealVar:: alpha = -0.493251 +/- 0.19072 2) RooRealVar:: f1 = 0.376863 +/- 0.0177444 3) RooRealVar:: f2 = 0.186518 +/- 0.0163171 4) RooRealVar:: NLL = 8934.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.576912 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.396403 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.177348 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.19072 10) RooRealVar:: alphapull = 0.438659 11) RooRealVar:: f1err = 0.0177444 12) RooRealVar:: f1pull = -1.10117 13) RooRealVar:: f2err = 0.0163171 14) RooRealVar:: f2pull = 0.561955 RooFitResult: minimized FCN value: 8934.59, estimated distance to minimum: 1.36929e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.9325e-01 +/- 1.91e-01 f1 4.0000e-01 3.7686e-01 +/- 1.77e-02 f2 2.0000e-01 1.8652e-01 +/- 1.63e-02 N TOY = 344 1) RooRealVar:: alpha = -0.0434812 +/- 0.180804 2) RooRealVar:: f1 = 0.348288 +/- 0.0171397 3) RooRealVar:: f2 = 0.198683 +/- 0.015851 4) RooRealVar:: NLL = 8951.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.112307 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.362196 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195369 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.180804 10) RooRealVar:: alphapull = -0.861644 11) RooRealVar:: f1err = 0.0171397 12) RooRealVar:: f1pull = -0.811455 13) RooRealVar:: f2err = 0.015851 14) RooRealVar:: f2pull = 0.209016 RooFitResult: minimized FCN value: 8951.24, estimated distance to minimum: 2.34758e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.3481e-02 +/- 1.81e-01 f1 4.0000e-01 3.4829e-01 +/- 1.71e-02 f2 2.0000e-01 1.9868e-01 +/- 1.59e-02 N TOY = 345 1) RooRealVar:: alpha = -0.783962 +/- 0.199207 2) RooRealVar:: f1 = 0.420232 +/- 0.0178659 3) RooRealVar:: f2 = 0.176047 +/- 0.0164984 4) RooRealVar:: NLL = 8881.72 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.915939 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394106 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.180421 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.199207 10) RooRealVar:: alphapull = 0.66251 11) RooRealVar:: f1err = 0.0178659 12) RooRealVar:: f1pull = 1.46236 13) RooRealVar:: f2err = 0.0164984 14) RooRealVar:: f2pull = -0.265149 RooFitResult: minimized FCN value: 8881.72, estimated distance to minimum: 4.46411e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8396e-01 +/- 1.99e-01 f1 4.0000e-01 4.2023e-01 +/- 1.79e-02 f2 2.0000e-01 1.7605e-01 +/- 1.65e-02 N TOY = 346 1) RooRealVar:: alpha = -2.31085 +/- 0.142789 2) RooRealVar:: f1 = 0.393515 +/- 0.018766 3) RooRealVar:: f2 = 0.175461 +/- 0.0174596 4) RooRealVar:: NLL = 8834.34 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.42435 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.357188 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.176432 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.142789 10) RooRealVar:: alphapull = 0.794899 11) RooRealVar:: f1err = 0.018766 12) RooRealVar:: f1pull = 1.93578 13) RooRealVar:: f2err = 0.0174596 14) RooRealVar:: f2pull = -0.0556166 RooFitResult: minimized FCN value: 8834.34, estimated distance to minimum: 1.56433e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.3108e+00 +/- 1.43e-01 f1 4.0000e-01 3.9351e-01 +/- 1.88e-02 f2 2.0000e-01 1.7546e-01 +/- 1.75e-02 N TOY = 347 1) RooRealVar:: alpha = 1.89487 +/- 0.285916 2) RooRealVar:: f1 = 0.480731 +/- 0.0163307 3) RooRealVar:: f2 = 0.228099 +/- 0.0136117 4) RooRealVar:: NLL = 8766.48 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.03713 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.472252 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.235674 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.285916 10) RooRealVar:: alphapull = -0.497536 11) RooRealVar:: f1err = 0.0163307 12) RooRealVar:: f1pull = 0.519248 13) RooRealVar:: f2err = 0.0136117 14) RooRealVar:: f2pull = -0.55652 RooFitResult: minimized FCN value: 8766.48, estimated distance to minimum: 4.34561e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8949e+00 +/- 2.86e-01 f1 4.0000e-01 4.8073e-01 +/- 1.63e-02 f2 2.0000e-01 2.2810e-01 +/- 1.36e-02 N TOY = 348 1) RooRealVar:: alpha = 0.905743 +/- 0.263146 2) RooRealVar:: f1 = 0.447012 +/- 0.0171354 3) RooRealVar:: f2 = 0.19605 +/- 0.0146562 4) RooRealVar:: NLL = 8826.01 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.900682 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.482847 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.18753 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.263146 10) RooRealVar:: alphapull = 0.0192329 11) RooRealVar:: f1err = 0.0171354 12) RooRealVar:: f1pull = -2.09128 13) RooRealVar:: f2err = 0.0146562 14) RooRealVar:: f2pull = 0.58132 RooFitResult: minimized FCN value: 8826.01, estimated distance to minimum: 1.57559e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.0574e-01 +/- 2.63e-01 f1 4.0000e-01 4.4701e-01 +/- 1.71e-02 f2 2.0000e-01 1.9605e-01 +/- 1.47e-02 N TOY = 349 1) RooRealVar:: alpha = -1.91432 +/- 0.160767 2) RooRealVar:: f1 = 0.379433 +/- 0.0182901 3) RooRealVar:: f2 = 0.211561 +/- 0.0175317 4) RooRealVar:: NLL = 8856.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.87704 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.38132 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.208448 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.160767 10) RooRealVar:: alphapull = -0.231894 11) RooRealVar:: f1err = 0.0182901 12) RooRealVar:: f1pull = -0.103174 13) RooRealVar:: f2err = 0.0175317 14) RooRealVar:: f2pull = 0.177519 RooFitResult: minimized FCN value: 8856.62, estimated distance to minimum: 1.25094e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9143e+00 +/- 1.61e-01 f1 4.0000e-01 3.7943e-01 +/- 1.83e-02 f2 2.0000e-01 2.1156e-01 +/- 1.75e-02 N TOY = 350 1) RooRealVar:: alpha = 1.17761 +/- 0.232629 2) RooRealVar:: f1 = 0.392637 +/- 0.0173443 3) RooRealVar:: f2 = 0.178719 +/- 0.0143034 4) RooRealVar:: NLL = 8876.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.20404 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.416868 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.160866 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.232629 10) RooRealVar:: alphapull = -0.11361 11) RooRealVar:: f1err = 0.0173443 12) RooRealVar:: f1pull = -1.39709 13) RooRealVar:: f2err = 0.0143034 14) RooRealVar:: f2pull = 1.24821 RooFitResult: minimized FCN value: 8876.76, estimated distance to minimum: 3.32035e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1776e+00 +/- 2.33e-01 f1 4.0000e-01 3.9264e-01 +/- 1.73e-02 f2 2.0000e-01 1.7872e-01 +/- 1.43e-02 N TOY = 351 1) RooRealVar:: alpha = -0.295918 +/- 0.229099 2) RooRealVar:: f1 = 0.494154 +/- 0.017153 3) RooRealVar:: f2 = 0.172021 +/- 0.0157642 4) RooRealVar:: NLL = 8769.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.76454 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.461457 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184382 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.229099 10) RooRealVar:: alphapull = 2.04549 11) RooRealVar:: f1err = 0.017153 12) RooRealVar:: f1pull = 1.90619 13) RooRealVar:: f2err = 0.0157642 14) RooRealVar:: f2pull = -0.784122 RooFitResult: minimized FCN value: 8769.76, estimated distance to minimum: 1.03954e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.9592e-01 +/- 2.29e-01 f1 4.0000e-01 4.9415e-01 +/- 1.72e-02 f2 2.0000e-01 1.7202e-01 +/- 1.58e-02 N TOY = 352 1) RooRealVar:: alpha = -0.565489 +/- 0.206931 2) RooRealVar:: f1 = 0.389423 +/- 0.0175117 3) RooRealVar:: f2 = 0.231966 +/- 0.0165923 4) RooRealVar:: NLL = 8879.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.622417 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.424161 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.233885 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.206931 10) RooRealVar:: alphapull = 0.275104 11) RooRealVar:: f1err = 0.0175117 12) RooRealVar:: f1pull = -1.9837 13) RooRealVar:: f2err = 0.0165923 14) RooRealVar:: f2pull = -0.115626 RooFitResult: minimized FCN value: 8879.95, estimated distance to minimum: 5.17979e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.6549e-01 +/- 2.07e-01 f1 4.0000e-01 3.8942e-01 +/- 1.75e-02 f2 2.0000e-01 2.3197e-01 +/- 1.66e-02 N TOY = 353 1) RooRealVar:: alpha = -1.54219 +/- 0.195972 2) RooRealVar:: f1 = 0.350878 +/- 0.0181267 3) RooRealVar:: f2 = 0.288534 +/- 0.0176802 4) RooRealVar:: NLL = 8828.42 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.36103 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.355393 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.28876 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195972 10) RooRealVar:: alphapull = -0.924402 11) RooRealVar:: f1err = 0.0181267 12) RooRealVar:: f1pull = -0.249107 13) RooRealVar:: f2err = 0.0176802 14) RooRealVar:: f2pull = -0.0127989 RooFitResult: minimized FCN value: 8828.42, estimated distance to minimum: 2.34643e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.5422e+00 +/- 1.96e-01 f1 4.0000e-01 3.5088e-01 +/- 1.81e-02 f2 2.0000e-01 2.8853e-01 +/- 1.77e-02 N TOY = 354 1) RooRealVar:: alpha = 0.0147067 +/- 0.278463 2) RooRealVar:: f1 = 0.404397 +/- 0.0180396 3) RooRealVar:: f2 = 0.251213 +/- 0.0157115 4) RooRealVar:: NLL = 8862.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.57411 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.410287 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.282764 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.278463 10) RooRealVar:: alphapull = -2.0089 11) RooRealVar:: f1err = 0.0180396 12) RooRealVar:: f1pull = -0.32654 13) RooRealVar:: f2err = 0.0157115 14) RooRealVar:: f2pull = -2.00816 RooFitResult: minimized FCN value: 8862.99, estimated distance to minimum: 5.7512e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4707e-02 +/- 2.78e-01 f1 4.0000e-01 4.0440e-01 +/- 1.80e-02 f2 2.0000e-01 2.5121e-01 +/- 1.57e-02 N TOY = 355 1) RooRealVar:: alpha = 0.921703 +/- 0.236381 2) RooRealVar:: f1 = 0.432375 +/- 0.0172388 3) RooRealVar:: f2 = 0.153956 +/- 0.0142825 4) RooRealVar:: NLL = 8842.26 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.11293 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.442407 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.153206 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.236381 10) RooRealVar:: alphapull = -0.808967 11) RooRealVar:: f1err = 0.0172388 12) RooRealVar:: f1pull = -0.581948 13) RooRealVar:: f2err = 0.0142825 14) RooRealVar:: f2pull = 0.0525073 RooFitResult: minimized FCN value: 8842.26, estimated distance to minimum: 2.65294e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.2170e-01 +/- 2.36e-01 f1 4.0000e-01 4.3238e-01 +/- 1.72e-02 f2 2.0000e-01 1.5396e-01 +/- 1.43e-02 N TOY = 356 1) RooRealVar:: alpha = -0.972692 +/- 0.237361 2) RooRealVar:: f1 = 0.510072 +/- 0.0171252 3) RooRealVar:: f2 = 0.200781 +/- 0.0163572 4) RooRealVar:: NLL = 8701.41 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.19086 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.531047 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187958 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.237361 10) RooRealVar:: alphapull = 0.919139 11) RooRealVar:: f1err = 0.0171252 12) RooRealVar:: f1pull = -1.2248 13) RooRealVar:: f2err = 0.0163572 14) RooRealVar:: f2pull = 0.783963 RooFitResult: minimized FCN value: 8701.41, estimated distance to minimum: 5.35392e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.7269e-01 +/- 2.37e-01 f1 4.0000e-01 5.1007e-01 +/- 1.71e-02 f2 2.0000e-01 2.0078e-01 +/- 1.64e-02 N TOY = 357 1) RooRealVar:: alpha = -0.10085 +/- 0.182336 2) RooRealVar:: f1 = 0.345888 +/- 0.0173999 3) RooRealVar:: f2 = 0.196759 +/- 0.0160512 4) RooRealVar:: NLL = 8953.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.351543 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.325426 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.202302 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.182336 10) RooRealVar:: alphapull = 1.37489 11) RooRealVar:: f1err = 0.0173999 12) RooRealVar:: f1pull = 1.17595 13) RooRealVar:: f2err = 0.0160512 14) RooRealVar:: f2pull = -0.34538 RooFitResult: minimized FCN value: 8953.56, estimated distance to minimum: 7.03832e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0085e-01 +/- 1.82e-01 f1 4.0000e-01 3.4589e-01 +/- 1.74e-02 f2 2.0000e-01 1.9676e-01 +/- 1.61e-02 N TOY = 358 1) RooRealVar:: alpha = 0.11803 +/- 0.221438 2) RooRealVar:: f1 = 0.385041 +/- 0.0183394 3) RooRealVar:: f2 = 0.141304 +/- 0.0150688 4) RooRealVar:: NLL = 8917.14 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.523159 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.365363 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.154524 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.221438 10) RooRealVar:: alphapull = -1.82954 11) RooRealVar:: f1err = 0.0183394 12) RooRealVar:: f1pull = 1.07298 13) RooRealVar:: f2err = 0.0150688 14) RooRealVar:: f2pull = -0.87729 RooFitResult: minimized FCN value: 8917.14, estimated distance to minimum: 9.69642e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1803e-01 +/- 2.21e-01 f1 4.0000e-01 3.8504e-01 +/- 1.83e-02 f2 2.0000e-01 1.4130e-01 +/- 1.51e-02 N TOY = 359 1) RooRealVar:: alpha = -0.189831 +/- 0.216587 2) RooRealVar:: f1 = 0.437888 +/- 0.0171078 3) RooRealVar:: f2 = 0.202492 +/- 0.0160277 4) RooRealVar:: NLL = 8834.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.509657 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.463557 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.235691 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216587 10) RooRealVar:: alphapull = -3.22959 11) RooRealVar:: f1err = 0.0171078 12) RooRealVar:: f1pull = -1.50043 13) RooRealVar:: f2err = 0.0160277 14) RooRealVar:: f2pull = -2.07133 RooFitResult: minimized FCN value: 8834.69, estimated distance to minimum: 8.0608e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.8983e-01 +/- 2.17e-01 f1 4.0000e-01 4.3789e-01 +/- 1.71e-02 f2 2.0000e-01 2.0249e-01 +/- 1.60e-02 N TOY = 360 1) RooRealVar:: alpha = -1.49678 +/- 0.176755 2) RooRealVar:: f1 = 0.354428 +/- 0.0181892 3) RooRealVar:: f2 = 0.220847 +/- 0.0174025 4) RooRealVar:: NLL = 8900.2 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.24225 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.356569 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.248372 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.176755 10) RooRealVar:: alphapull = -1.44004 11) RooRealVar:: f1err = 0.0181892 12) RooRealVar:: f1pull = -0.1177 13) RooRealVar:: f2err = 0.0174025 14) RooRealVar:: f2pull = -1.58162 RooFitResult: minimized FCN value: 8900.2, estimated distance to minimum: 3.35038e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4968e+00 +/- 1.77e-01 f1 4.0000e-01 3.5443e-01 +/- 1.82e-02 f2 2.0000e-01 2.2085e-01 +/- 1.74e-02 N TOY = 361 1) RooRealVar:: alpha = 0.62504 +/- 0.234325 2) RooRealVar:: f1 = 0.401575 +/- 0.0175306 3) RooRealVar:: f2 = 0.167967 +/- 0.0150162 4) RooRealVar:: NLL = 8889.03 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.607188 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.405673 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.173026 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.234325 10) RooRealVar:: alphapull = 0.0761814 11) RooRealVar:: f1err = 0.0175306 12) RooRealVar:: f1pull = -0.233742 13) RooRealVar:: f2err = 0.0150162 14) RooRealVar:: f2pull = -0.336881 RooFitResult: minimized FCN value: 8889.03, estimated distance to minimum: 1.83058e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.2504e-01 +/- 2.34e-01 f1 4.0000e-01 4.0158e-01 +/- 1.75e-02 f2 2.0000e-01 1.6797e-01 +/- 1.50e-02 N TOY = 362 1) RooRealVar:: alpha = -0.722537 +/- 0.164418 2) RooRealVar:: f1 = 0.295954 +/- 0.0177515 3) RooRealVar:: f2 = 0.179631 +/- 0.0166642 4) RooRealVar:: NLL = 9022.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.657091 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.31862 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.185414 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.164418 10) RooRealVar:: alphapull = -0.398047 11) RooRealVar:: f1err = 0.0177515 12) RooRealVar:: f1pull = -1.27685 13) RooRealVar:: f2err = 0.0166642 14) RooRealVar:: f2pull = -0.347029 RooFitResult: minimized FCN value: 9022.76, estimated distance to minimum: 1.04752e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.2254e-01 +/- 1.64e-01 f1 4.0000e-01 2.9595e-01 +/- 1.78e-02 f2 2.0000e-01 1.7963e-01 +/- 1.67e-02 N TOY = 363 1) RooRealVar:: alpha = 0.200474 +/- 0.216581 2) RooRealVar:: f1 = 0.266558 +/- 0.0181377 3) RooRealVar:: f2 = 0.226421 +/- 0.0157001 4) RooRealVar:: NLL = 9014.57 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.120004 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.248372 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.230918 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216581 10) RooRealVar:: alphapull = 0.371548 11) RooRealVar:: f1err = 0.0181377 12) RooRealVar:: f1pull = 1.00268 13) RooRealVar:: f2err = 0.0157001 14) RooRealVar:: f2pull = -0.286428 RooFitResult: minimized FCN value: 9014.57, estimated distance to minimum: 4.14525e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.0047e-01 +/- 2.17e-01 f1 4.0000e-01 2.6656e-01 +/- 1.81e-02 f2 2.0000e-01 2.2642e-01 +/- 1.57e-02 N TOY = 364 1) RooRealVar:: alpha = -0.418278 +/- 0.178345 2) RooRealVar:: f1 = 0.340999 +/- 0.0174237 3) RooRealVar:: f2 = 0.194176 +/- 0.0163447 4) RooRealVar:: NLL = 8969.63 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.51423 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.352538 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.192653 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.178345 10) RooRealVar:: alphapull = 0.538011 11) RooRealVar:: f1err = 0.0174237 12) RooRealVar:: f1pull = -0.662301 13) RooRealVar:: f2err = 0.0163447 14) RooRealVar:: f2pull = 0.0932173 RooFitResult: minimized FCN value: 8969.63, estimated distance to minimum: 5.62354e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.1828e-01 +/- 1.78e-01 f1 4.0000e-01 3.4100e-01 +/- 1.74e-02 f2 2.0000e-01 1.9418e-01 +/- 1.63e-02 N TOY = 365 1) RooRealVar:: alpha = -0.210103 +/- 0.207515 2) RooRealVar:: f1 = 0.405861 +/- 0.0173245 3) RooRealVar:: f2 = 0.202048 +/- 0.01624 4) RooRealVar:: NLL = 8879.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.356533 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.405706 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.189703 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.207515 10) RooRealVar:: alphapull = 0.705641 11) RooRealVar:: f1err = 0.0173245 12) RooRealVar:: f1pull = 0.00889625 13) RooRealVar:: f2err = 0.01624 14) RooRealVar:: f2pull = 0.760161 RooFitResult: minimized FCN value: 8879.97, estimated distance to minimum: 9.11546e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1010e-01 +/- 2.08e-01 f1 4.0000e-01 4.0586e-01 +/- 1.73e-02 f2 2.0000e-01 2.0205e-01 +/- 1.62e-02 N TOY = 366 1) RooRealVar:: alpha = 0.49414 +/- 0.318317 2) RooRealVar:: f1 = 0.481686 +/- 0.0172992 3) RooRealVar:: f2 = 0.242204 +/- 0.0150137 4) RooRealVar:: NLL = 8735.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.1296 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.491097 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23871 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.318317 10) RooRealVar:: alphapull = 1.14521 11) RooRealVar:: f1err = 0.0172992 12) RooRealVar:: f1pull = -0.544012 13) RooRealVar:: f2err = 0.0150137 14) RooRealVar:: f2pull = 0.232689 RooFitResult: minimized FCN value: 8735.96, estimated distance to minimum: 2.86707e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.9414e-01 +/- 3.18e-01 f1 4.0000e-01 4.8169e-01 +/- 1.73e-02 f2 2.0000e-01 2.4220e-01 +/- 1.50e-02 N TOY = 367 1) RooRealVar:: alpha = 0.746699 +/- 0.226291 2) RooRealVar:: f1 = 0.322471 +/- 0.0174336 3) RooRealVar:: f2 = 0.228434 +/- 0.0150304 4) RooRealVar:: NLL = 8955.65 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.02355 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.324755 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.238031 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226291 10) RooRealVar:: alphapull = -1.22344 11) RooRealVar:: f1err = 0.0174336 12) RooRealVar:: f1pull = -0.130978 13) RooRealVar:: f2err = 0.0150304 14) RooRealVar:: f2pull = -0.638494 RooFitResult: minimized FCN value: 8955.65, estimated distance to minimum: 2.33925e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.4670e-01 +/- 2.26e-01 f1 4.0000e-01 3.2247e-01 +/- 1.74e-02 f2 2.0000e-01 2.2843e-01 +/- 1.50e-02 N TOY = 368 1) RooRealVar:: alpha = 0.20703 +/- 0.25505 2) RooRealVar:: f1 = 0.448767 +/- 0.0176622 3) RooRealVar:: f2 = 0.180479 +/- 0.0154252 4) RooRealVar:: NLL = 8827.28 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.608689 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.444331 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195866 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.25505 10) RooRealVar:: alphapull = -1.57483 11) RooRealVar:: f1err = 0.0176622 12) RooRealVar:: f1pull = 0.251157 13) RooRealVar:: f2err = 0.0154252 14) RooRealVar:: f2pull = -0.997541 RooFitResult: minimized FCN value: 8827.28, estimated distance to minimum: 3.03399e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.0703e-01 +/- 2.55e-01 f1 4.0000e-01 4.4877e-01 +/- 1.77e-02 f2 2.0000e-01 1.8048e-01 +/- 1.54e-02 N TOY = 369 1) RooRealVar:: alpha = 0.202309 +/- 0.229437 2) RooRealVar:: f1 = 0.324514 +/- 0.0180836 3) RooRealVar:: f2 = 0.239239 +/- 0.0155586 4) RooRealVar:: NLL = 8950.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.256722 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.309255 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.241894 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.229437 10) RooRealVar:: alphapull = -0.23716 11) RooRealVar:: f1err = 0.0180836 12) RooRealVar:: f1pull = 0.843795 13) RooRealVar:: f2err = 0.0155586 14) RooRealVar:: f2pull = -0.170604 RooFitResult: minimized FCN value: 8950.5, estimated distance to minimum: 1.59995e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.0231e-01 +/- 2.29e-01 f1 4.0000e-01 3.2451e-01 +/- 1.81e-02 f2 2.0000e-01 2.3924e-01 +/- 1.56e-02 N TOY = 370 1) RooRealVar:: alpha = 0.912858 +/- 0.226641 2) RooRealVar:: f1 = 0.351507 +/- 0.0173859 3) RooRealVar:: f2 = 0.190643 +/- 0.0147696 4) RooRealVar:: NLL = 8922.63 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.866474 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.340062 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196043 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226641 10) RooRealVar:: alphapull = 0.204663 11) RooRealVar:: f1err = 0.0173859 12) RooRealVar:: f1pull = 0.658304 13) RooRealVar:: f2err = 0.0147696 14) RooRealVar:: f2pull = -0.365594 RooFitResult: minimized FCN value: 8922.63, estimated distance to minimum: 8.63194e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.1286e-01 +/- 2.27e-01 f1 4.0000e-01 3.5151e-01 +/- 1.74e-02 f2 2.0000e-01 1.9064e-01 +/- 1.48e-02 N TOY = 371 1) RooRealVar:: alpha = 0.425558 +/- 0.35789 2) RooRealVar:: f1 = 0.525708 +/- 0.0173771 3) RooRealVar:: f2 = 0.226953 +/- 0.0150216 4) RooRealVar:: NLL = 8681.31 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.643729 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.535661 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.240054 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.35789 10) RooRealVar:: alphapull = -0.609605 11) RooRealVar:: f1err = 0.0173771 12) RooRealVar:: f1pull = -0.57278 13) RooRealVar:: f2err = 0.0150216 14) RooRealVar:: f2pull = -0.872131 RooFitResult: minimized FCN value: 8681.31, estimated distance to minimum: 4.36967e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.2556e-01 +/- 3.58e-01 f1 4.0000e-01 5.2571e-01 +/- 1.74e-02 f2 2.0000e-01 2.2695e-01 +/- 1.50e-02 N TOY = 372 1) RooRealVar:: alpha = 0.00133911 +/- 0.200747 2) RooRealVar:: f1 = 0.337211 +/- 0.0178274 3) RooRealVar:: f2 = 0.245979 +/- 0.0151634 4) RooRealVar:: NLL = 8942.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0422375 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.313014 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.260846 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200747 10) RooRealVar:: alphapull = -0.203731 11) RooRealVar:: f1err = 0.0178274 12) RooRealVar:: f1pull = 1.35731 13) RooRealVar:: f2err = 0.0151634 14) RooRealVar:: f2pull = -0.980414 RooFitResult: minimized FCN value: 8942.51, estimated distance to minimum: 0.00494847 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3391e-03 +/- 2.01e-01 f1 4.0000e-01 3.3721e-01 +/- 1.78e-02 f2 2.0000e-01 2.4598e-01 +/- 1.52e-02 N TOY = 373 1) RooRealVar:: alpha = 0.357408 +/- 0.207543 2) RooRealVar:: f1 = 0.300029 +/- 0.0179528 3) RooRealVar:: f2 = 0.145537 +/- 0.0152954 4) RooRealVar:: NLL = 8984.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.366451 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.30624 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.145079 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.207543 10) RooRealVar:: alphapull = -0.0435713 11) RooRealVar:: f1err = 0.0179528 12) RooRealVar:: f1pull = -0.345982 13) RooRealVar:: f2err = 0.0152954 14) RooRealVar:: f2pull = 0.0299442 RooFitResult: minimized FCN value: 8984.33, estimated distance to minimum: 0.000104142 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.5741e-01 +/- 2.08e-01 f1 4.0000e-01 3.0003e-01 +/- 1.80e-02 f2 2.0000e-01 1.4554e-01 +/- 1.53e-02 N TOY = 374 1) RooRealVar:: alpha = -0.0937811 +/- 0.213704 2) RooRealVar:: f1 = 0.363366 +/- 0.0172972 3) RooRealVar:: f2 = 0.252132 +/- 0.0163321 4) RooRealVar:: NLL = 8904.73 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.40888 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.354654 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.224774 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.213704 10) RooRealVar:: alphapull = 1.47447 11) RooRealVar:: f1err = 0.0172972 12) RooRealVar:: f1pull = 0.503622 13) RooRealVar:: f2err = 0.0163321 14) RooRealVar:: f2pull = 1.67512 RooFitResult: minimized FCN value: 8904.73, estimated distance to minimum: 1.74663e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.3781e-02 +/- 2.14e-01 f1 4.0000e-01 3.6337e-01 +/- 1.73e-02 f2 2.0000e-01 2.5213e-01 +/- 1.63e-02 N TOY = 375 1) RooRealVar:: alpha = -1.05594 +/- 0.171114 2) RooRealVar:: f1 = 0.368399 +/- 0.0181352 3) RooRealVar:: f2 = 0.151763 +/- 0.01699 4) RooRealVar:: NLL = 8956.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.929505 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.371121 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.145354 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.171114 10) RooRealVar:: alphapull = -0.738922 11) RooRealVar:: f1err = 0.0181352 12) RooRealVar:: f1pull = -0.150131 13) RooRealVar:: f2err = 0.01699 14) RooRealVar:: f2pull = 0.377196 RooFitResult: minimized FCN value: 8956.95, estimated distance to minimum: 7.86205e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0559e+00 +/- 1.71e-01 f1 4.0000e-01 3.6840e-01 +/- 1.81e-02 f2 2.0000e-01 1.5176e-01 +/- 1.70e-02 N TOY = 376 1) RooRealVar:: alpha = -0.787596 +/- 0.20411 2) RooRealVar:: f1 = 0.450896 +/- 0.0175063 3) RooRealVar:: f2 = 0.173979 +/- 0.016442 4) RooRealVar:: NLL = 8829.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.601355 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.453746 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.198402 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.20411 10) RooRealVar:: alphapull = -0.912453 11) RooRealVar:: f1err = 0.0175063 12) RooRealVar:: f1pull = -0.162804 13) RooRealVar:: f2err = 0.016442 14) RooRealVar:: f2pull = -1.48541 RooFitResult: minimized FCN value: 8829.51, estimated distance to minimum: 8.20903e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8760e-01 +/- 2.04e-01 f1 4.0000e-01 4.5090e-01 +/- 1.75e-02 f2 2.0000e-01 1.7398e-01 +/- 1.64e-02 N TOY = 377 1) RooRealVar:: alpha = 0.0741968 +/- 0.261143 2) RooRealVar:: f1 = 0.405809 +/- 0.0181255 3) RooRealVar:: f2 = 0.22881 +/- 0.015493 4) RooRealVar:: NLL = 8857.89 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.103977 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.386336 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.222725 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.261143 10) RooRealVar:: alphapull = 0.682284 11) RooRealVar:: f1err = 0.0181255 12) RooRealVar:: f1pull = 1.07433 13) RooRealVar:: f2err = 0.015493 14) RooRealVar:: f2pull = 0.392753 RooFitResult: minimized FCN value: 8857.89, estimated distance to minimum: 5.8464e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.4197e-02 +/- 2.61e-01 f1 4.0000e-01 4.0581e-01 +/- 1.81e-02 f2 2.0000e-01 2.2881e-01 +/- 1.55e-02 N TOY = 378 1) RooRealVar:: alpha = -1.20128 +/- 0.169056 2) RooRealVar:: f1 = 0.339522 +/- 0.0182798 3) RooRealVar:: f2 = 0.163625 +/- 0.0173107 4) RooRealVar:: NLL = 8984.36 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.0751 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.334509 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.165876 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169056 10) RooRealVar:: alphapull = -0.746403 11) RooRealVar:: f1err = 0.0182798 12) RooRealVar:: f1pull = 0.274216 13) RooRealVar:: f2err = 0.0173107 14) RooRealVar:: f2pull = -0.130016 RooFitResult: minimized FCN value: 8984.36, estimated distance to minimum: 8.8801e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2013e+00 +/- 1.69e-01 f1 4.0000e-01 3.3952e-01 +/- 1.83e-02 f2 2.0000e-01 1.6363e-01 +/- 1.73e-02 N TOY = 379 1) RooRealVar:: alpha = -1.99636 +/- 0.149134 2) RooRealVar:: f1 = 0.34626 +/- 0.0185547 3) RooRealVar:: f2 = 0.210486 +/- 0.0174961 4) RooRealVar:: NLL = 8891.7 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.85811 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.349633 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.204441 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.149134 10) RooRealVar:: alphapull = -0.927048 11) RooRealVar:: f1err = 0.0185547 12) RooRealVar:: f1pull = -0.181767 13) RooRealVar:: f2err = 0.0174961 14) RooRealVar:: f2pull = 0.345484 RooFitResult: minimized FCN value: 8891.7, estimated distance to minimum: 6.81755e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9964e+00 +/- 1.49e-01 f1 4.0000e-01 3.4626e-01 +/- 1.86e-02 f2 2.0000e-01 2.1049e-01 +/- 1.75e-02 N TOY = 380 1) RooRealVar:: alpha = -1.29888 +/- 0.173883 2) RooRealVar:: f1 = 0.36692 +/- 0.0180215 3) RooRealVar:: f2 = 0.206304 +/- 0.0171261 4) RooRealVar:: NLL = 8915.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.14192 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.360333 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.233424 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.173883 10) RooRealVar:: alphapull = -0.902695 11) RooRealVar:: f1err = 0.0180215 12) RooRealVar:: f1pull = 0.365503 13) RooRealVar:: f2err = 0.0171261 14) RooRealVar:: f2pull = -1.58359 RooFitResult: minimized FCN value: 8915.19, estimated distance to minimum: 9.68418e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2989e+00 +/- 1.74e-01 f1 4.0000e-01 3.6692e-01 +/- 1.80e-02 f2 2.0000e-01 2.0630e-01 +/- 1.71e-02 N TOY = 381 1) RooRealVar:: alpha = -0.852576 +/- 0.193054 2) RooRealVar:: f1 = 0.385508 +/- 0.017703 3) RooRealVar:: f2 = 0.202946 +/- 0.0169973 4) RooRealVar:: NLL = 8905.63 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.36811 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.354477 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.195107 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.193054 10) RooRealVar:: alphapull = 2.67041 11) RooRealVar:: f1err = 0.017703 12) RooRealVar:: f1pull = 1.75287 13) RooRealVar:: f2err = 0.0169973 14) RooRealVar:: f2pull = 0.461228 RooFitResult: minimized FCN value: 8905.63, estimated distance to minimum: 2.57215e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.5258e-01 +/- 1.93e-01 f1 4.0000e-01 3.8551e-01 +/- 1.77e-02 f2 2.0000e-01 2.0295e-01 +/- 1.70e-02 N TOY = 382 1) RooRealVar:: alpha = -0.0839217 +/- 0.215687 2) RooRealVar:: f1 = 0.409206 +/- 0.0171989 3) RooRealVar:: f2 = 0.23221 +/- 0.0159609 4) RooRealVar:: NLL = 8852.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.128599 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.404607 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.250737 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215687 10) RooRealVar:: alphapull = -0.985323 11) RooRealVar:: f1err = 0.0171989 12) RooRealVar:: f1pull = 0.267389 13) RooRealVar:: f2err = 0.0159609 14) RooRealVar:: f2pull = -1.16077 RooFitResult: minimized FCN value: 8852.22, estimated distance to minimum: 4.43983e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.3922e-02 +/- 2.16e-01 f1 4.0000e-01 4.0921e-01 +/- 1.72e-02 f2 2.0000e-01 2.3221e-01 +/- 1.60e-02 N TOY = 383 1) RooRealVar:: alpha = -0.708949 +/- 0.177278 2) RooRealVar:: f1 = 0.35752 +/- 0.0176524 3) RooRealVar:: f2 = 0.193674 +/- 0.0167107 4) RooRealVar:: NLL = 8946.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.763242 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.341767 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.181484 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.177278 10) RooRealVar:: alphapull = 0.306262 11) RooRealVar:: f1err = 0.0176524 12) RooRealVar:: f1pull = 0.892425 13) RooRealVar:: f2err = 0.0167107 14) RooRealVar:: f2pull = 0.7295 RooFitResult: minimized FCN value: 8946.96, estimated distance to minimum: 4.08396e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.0895e-01 +/- 1.77e-01 f1 4.0000e-01 3.5752e-01 +/- 1.77e-02 f2 2.0000e-01 1.9367e-01 +/- 1.67e-02 N TOY = 384 1) RooRealVar:: alpha = -2.1242 +/- 0.197878 2) RooRealVar:: f1 = 0.528658 +/- 0.0174647 3) RooRealVar:: f2 = 0.229435 +/- 0.0168071 4) RooRealVar:: NLL = 8564.56 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.28289 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.502952 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.243185 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.197878 10) RooRealVar:: alphapull = 0.801943 11) RooRealVar:: f1err = 0.0174647 12) RooRealVar:: f1pull = 1.47188 13) RooRealVar:: f2err = 0.0168071 14) RooRealVar:: f2pull = -0.818093 RooFitResult: minimized FCN value: 8564.56, estimated distance to minimum: 5.76941e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1242e+00 +/- 1.98e-01 f1 4.0000e-01 5.2866e-01 +/- 1.75e-02 f2 2.0000e-01 2.2944e-01 +/- 1.68e-02 N TOY = 385 1) RooRealVar:: alpha = 0.383015 +/- 0.312923 2) RooRealVar:: f1 = 0.516006 +/- 0.0172576 3) RooRealVar:: f2 = 0.222066 +/- 0.014734 4) RooRealVar:: NLL = 8696.74 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.372121 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.482295 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.230141 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.312923 10) RooRealVar:: alphapull = 0.0348123 11) RooRealVar:: f1err = 0.0172576 12) RooRealVar:: f1pull = 1.95341 13) RooRealVar:: f2err = 0.014734 14) RooRealVar:: f2pull = -0.548007 RooFitResult: minimized FCN value: 8696.74, estimated distance to minimum: 7.05108e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.8302e-01 +/- 3.13e-01 f1 4.0000e-01 5.1601e-01 +/- 1.73e-02 f2 2.0000e-01 2.2207e-01 +/- 1.47e-02 N TOY = 386 1) RooRealVar:: alpha = 0.0396493 +/- 0.244189 2) RooRealVar:: f1 = 0.481268 +/- 0.0175624 3) RooRealVar:: f2 = 0.149071 +/- 0.0147521 4) RooRealVar:: NLL = 8794.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.149224 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.48756 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.151707 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.244189 10) RooRealVar:: alphapull = -0.448731 11) RooRealVar:: f1err = 0.0175624 12) RooRealVar:: f1pull = -0.35827 13) RooRealVar:: f2err = 0.0147521 14) RooRealVar:: f2pull = -0.178642 RooFitResult: minimized FCN value: 8794.24, estimated distance to minimum: 3.61562e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.9649e-02 +/- 2.44e-01 f1 4.0000e-01 4.8127e-01 +/- 1.76e-02 f2 2.0000e-01 1.4907e-01 +/- 1.48e-02 N TOY = 387 1) RooRealVar:: alpha = -1.09425 +/- 0.294659 2) RooRealVar:: f1 = 0.539555 +/- 0.0168458 3) RooRealVar:: f2 = 0.256406 +/- 0.0162389 4) RooRealVar:: NLL = 8569.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.910695 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.562028 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.25124 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294659 10) RooRealVar:: alphapull = -0.62293 11) RooRealVar:: f1err = 0.0168458 12) RooRealVar:: f1pull = -1.33401 13) RooRealVar:: f2err = 0.0162389 14) RooRealVar:: f2pull = 0.318116 RooFitResult: minimized FCN value: 8569.44, estimated distance to minimum: 2.50952e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0942e+00 +/- 2.95e-01 f1 4.0000e-01 5.3956e-01 +/- 1.68e-02 f2 2.0000e-01 2.5641e-01 +/- 1.62e-02 N TOY = 388 1) RooRealVar:: alpha = -0.852106 +/- 0.224934 2) RooRealVar:: f1 = 0.447184 +/- 0.0176013 3) RooRealVar:: f2 = 0.225786 +/- 0.0167282 4) RooRealVar:: NLL = 8787.04 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.80285 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.454427 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217754 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.224934 10) RooRealVar:: alphapull = -0.21898 11) RooRealVar:: f1err = 0.0176013 12) RooRealVar:: f1pull = -0.411518 13) RooRealVar:: f2err = 0.0167282 14) RooRealVar:: f2pull = 0.480137 RooFitResult: minimized FCN value: 8787.04, estimated distance to minimum: 4.5412e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.5211e-01 +/- 2.25e-01 f1 4.0000e-01 4.4718e-01 +/- 1.76e-02 f2 2.0000e-01 2.2579e-01 +/- 1.67e-02 N TOY = 389 1) RooRealVar:: alpha = -0.677871 +/- 0.203881 2) RooRealVar:: f1 = 0.358803 +/- 0.0176533 3) RooRealVar:: f2 = 0.252511 +/- 0.0167419 4) RooRealVar:: NLL = 8896.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.60871 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.333612 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.26683 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203881 10) RooRealVar:: alphapull = -0.339223 11) RooRealVar:: f1err = 0.0176533 12) RooRealVar:: f1pull = 1.42702 13) RooRealVar:: f2err = 0.0167419 14) RooRealVar:: f2pull = -0.8553 RooFitResult: minimized FCN value: 8896.98, estimated distance to minimum: 4.68068e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.7787e-01 +/- 2.04e-01 f1 4.0000e-01 3.5880e-01 +/- 1.77e-02 f2 2.0000e-01 2.5251e-01 +/- 1.67e-02 N TOY = 390 1) RooRealVar:: alpha = -0.522342 +/- 0.171966 2) RooRealVar:: f1 = 0.365737 +/- 0.017673 3) RooRealVar:: f2 = 0.158841 +/- 0.0160614 4) RooRealVar:: NLL = 8953.4 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.697375 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.343711 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.142397 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.171966 10) RooRealVar:: alphapull = 1.01783 11) RooRealVar:: f1err = 0.017673 12) RooRealVar:: f1pull = 1.2463 13) RooRealVar:: f2err = 0.0160614 14) RooRealVar:: f2pull = 1.02385 RooFitResult: minimized FCN value: 8953.4, estimated distance to minimum: 2.63181e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.2234e-01 +/- 1.72e-01 f1 4.0000e-01 3.6574e-01 +/- 1.77e-02 f2 2.0000e-01 1.5884e-01 +/- 1.61e-02 N TOY = 391 1) RooRealVar:: alpha = -0.551747 +/- 0.195136 2) RooRealVar:: f1 = 0.454959 +/- 0.0173943 3) RooRealVar:: f2 = 0.152105 +/- 0.0160365 4) RooRealVar:: NLL = 8838.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.724143 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.460888 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.146156 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195136 10) RooRealVar:: alphapull = 0.883464 11) RooRealVar:: f1err = 0.0173943 12) RooRealVar:: f1pull = -0.340873 13) RooRealVar:: f2err = 0.0160365 14) RooRealVar:: f2pull = 0.370936 RooFitResult: minimized FCN value: 8838.98, estimated distance to minimum: 7.99784e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.5175e-01 +/- 1.95e-01 f1 4.0000e-01 4.5496e-01 +/- 1.74e-02 f2 2.0000e-01 1.5210e-01 +/- 1.60e-02 N TOY = 392 1) RooRealVar:: alpha = -0.78897 +/- 0.175549 2) RooRealVar:: f1 = 0.248288 +/- 0.0177909 3) RooRealVar:: f2 = 0.254365 +/- 0.0172534 4) RooRealVar:: NLL = 9020.46 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.691421 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.235053 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.252541 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.175549 10) RooRealVar:: alphapull = -0.555674 11) RooRealVar:: f1err = 0.0177909 12) RooRealVar:: f1pull = 0.743939 13) RooRealVar:: f2err = 0.0172534 14) RooRealVar:: f2pull = 0.105711 RooFitResult: minimized FCN value: 9020.46, estimated distance to minimum: 5.29024e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8897e-01 +/- 1.76e-01 f1 4.0000e-01 2.4829e-01 +/- 1.78e-02 f2 2.0000e-01 2.5436e-01 +/- 1.73e-02 N TOY = 393 1) RooRealVar:: alpha = -1.95003 +/- 0.161205 2) RooRealVar:: f1 = 0.36866 +/- 0.0183011 3) RooRealVar:: f2 = 0.232054 +/- 0.0176945 4) RooRealVar:: NLL = 8846.4 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.99611 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.401771 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232413 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.161205 10) RooRealVar:: alphapull = 0.285893 11) RooRealVar:: f1err = 0.0183011 12) RooRealVar:: f1pull = -1.80924 13) RooRealVar:: f2err = 0.0176945 14) RooRealVar:: f2pull = -0.0202575 RooFitResult: minimized FCN value: 8846.4, estimated distance to minimum: 1.09023e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9500e+00 +/- 1.61e-01 f1 4.0000e-01 3.6866e-01 +/- 1.83e-02 f2 2.0000e-01 2.3205e-01 +/- 1.77e-02 N TOY = 394 1) RooRealVar:: alpha = 0.192964 +/- 0.328928 2) RooRealVar:: f1 = 0.461982 +/- 0.0177801 3) RooRealVar:: f2 = 0.262541 +/- 0.0153978 4) RooRealVar:: NLL = 8758.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.68886 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.466008 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.292613 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.328928 10) RooRealVar:: alphapull = -1.50761 11) RooRealVar:: f1err = 0.0177801 12) RooRealVar:: f1pull = -0.22645 13) RooRealVar:: f2err = 0.0153978 14) RooRealVar:: f2pull = -1.95301 RooFitResult: minimized FCN value: 8758.19, estimated distance to minimum: 1.97774e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9296e-01 +/- 3.29e-01 f1 4.0000e-01 4.6198e-01 +/- 1.78e-02 f2 2.0000e-01 2.6254e-01 +/- 1.54e-02 N TOY = 395 1) RooRealVar:: alpha = 0.747731 +/- 0.226974 2) RooRealVar:: f1 = 0.361257 +/- 0.0178308 3) RooRealVar:: f2 = 0.181376 +/- 0.0147283 4) RooRealVar:: NLL = 8924.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.01061 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.363123 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187753 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.226974 10) RooRealVar:: alphapull = -1.15821 11) RooRealVar:: f1err = 0.0178308 12) RooRealVar:: f1pull = -0.104648 13) RooRealVar:: f2err = 0.0147283 14) RooRealVar:: f2pull = -0.43297 RooFitResult: minimized FCN value: 8924.33, estimated distance to minimum: 0.00015676 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.4773e-01 +/- 2.27e-01 f1 4.0000e-01 3.6126e-01 +/- 1.78e-02 f2 2.0000e-01 1.8138e-01 +/- 1.47e-02 N TOY = 396 1) RooRealVar:: alpha = -0.120561 +/- 0.223484 2) RooRealVar:: f1 = 0.484862 +/- 0.0169924 3) RooRealVar:: f2 = 0.190587 +/- 0.0154661 4) RooRealVar:: NLL = 8769.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0953211 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.474093 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196973 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.223484 10) RooRealVar:: alphapull = -0.965982 11) RooRealVar:: f1err = 0.0169924 12) RooRealVar:: f1pull = 0.633728 13) RooRealVar:: f2err = 0.0154661 14) RooRealVar:: f2pull = -0.412954 RooFitResult: minimized FCN value: 8769.64, estimated distance to minimum: 2.93239e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2056e-01 +/- 2.23e-01 f1 4.0000e-01 4.8486e-01 +/- 1.70e-02 f2 2.0000e-01 1.9059e-01 +/- 1.55e-02 N TOY = 397 1) RooRealVar:: alpha = -0.200614 +/- 0.198212 2) RooRealVar:: f1 = 0.499858 +/- 0.0168517 3) RooRealVar:: f2 = 0.145377 +/- 0.014968 4) RooRealVar:: NLL = 8761.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.146671 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.500605 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.14316 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.198212 10) RooRealVar:: alphapull = -1.75209 11) RooRealVar:: f1err = 0.0168517 12) RooRealVar:: f1pull = -0.0443303 13) RooRealVar:: f2err = 0.014968 14) RooRealVar:: f2pull = 0.148126 RooFitResult: minimized FCN value: 8761.78, estimated distance to minimum: 3.67185e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.0061e-01 +/- 1.98e-01 f1 4.0000e-01 4.9986e-01 +/- 1.69e-02 f2 2.0000e-01 1.4538e-01 +/- 1.50e-02 N TOY = 398 1) RooRealVar:: alpha = -1.19919 +/- 0.157602 2) RooRealVar:: f1 = 0.245976 +/- 0.0180009 3) RooRealVar:: f2 = 0.215172 +/- 0.0177657 4) RooRealVar:: NLL = 9045.05 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.18836 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.265736 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196172 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.157602 10) RooRealVar:: alphapull = -0.0686882 11) RooRealVar:: f1err = 0.0180009 12) RooRealVar:: f1pull = -1.09772 13) RooRealVar:: f2err = 0.0177657 14) RooRealVar:: f2pull = 1.06948 RooFitResult: minimized FCN value: 9045.05, estimated distance to minimum: 9.30379e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1992e+00 +/- 1.58e-01 f1 4.0000e-01 2.4598e-01 +/- 1.80e-02 f2 2.0000e-01 2.1517e-01 +/- 1.78e-02 N TOY = 399 1) RooRealVar:: alpha = 0.48048 +/- 0.232203 2) RooRealVar:: f1 = 0.347489 +/- 0.0180005 3) RooRealVar:: f2 = 0.217394 +/- 0.0150547 4) RooRealVar:: NLL = 8934.74 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.268371 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.340342 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.201968 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.232203 10) RooRealVar:: alphapull = 0.913464 11) RooRealVar:: f1err = 0.0180005 12) RooRealVar:: f1pull = 0.397085 13) RooRealVar:: f2err = 0.0150547 14) RooRealVar:: f2pull = 1.02467 RooFitResult: minimized FCN value: 8934.74, estimated distance to minimum: 1.52025e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.8048e-01 +/- 2.32e-01 f1 4.0000e-01 3.4749e-01 +/- 1.80e-02 f2 2.0000e-01 2.1739e-01 +/- 1.51e-02 N TOY = 400 1) RooRealVar:: alpha = -0.989204 +/- 0.164527 2) RooRealVar:: f1 = 0.353577 +/- 0.0180914 3) RooRealVar:: f2 = 0.14417 +/- 0.0165002 4) RooRealVar:: NLL = 8978.3 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.08098 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.357628 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.143989 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.164527 10) RooRealVar:: alphapull = 0.557841 11) RooRealVar:: f1err = 0.0180914 12) RooRealVar:: f1pull = -0.223917 13) RooRealVar:: f2err = 0.0165002 14) RooRealVar:: f2pull = 0.0109677 RooFitResult: minimized FCN value: 8978.3, estimated distance to minimum: 8.93071e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.8920e-01 +/- 1.65e-01 f1 4.0000e-01 3.5358e-01 +/- 1.81e-02 f2 2.0000e-01 1.4417e-01 +/- 1.65e-02 N TOY = 401 1) RooRealVar:: alpha = -0.597002 +/- 0.200728 2) RooRealVar:: f1 = 0.386969 +/- 0.0176313 3) RooRealVar:: f2 = 0.219205 +/- 0.0164138 4) RooRealVar:: NLL = 8892.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.442927 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.370022 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.243802 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200728 10) RooRealVar:: alphapull = -0.767581 11) RooRealVar:: f1err = 0.0176313 12) RooRealVar:: f1pull = 0.96118 13) RooRealVar:: f2err = 0.0164138 14) RooRealVar:: f2pull = -1.49854 RooFitResult: minimized FCN value: 8892.93, estimated distance to minimum: 1.15489e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.9700e-01 +/- 2.01e-01 f1 4.0000e-01 3.8697e-01 +/- 1.76e-02 f2 2.0000e-01 2.1920e-01 +/- 1.64e-02 N TOY = 402 1) RooRealVar:: alpha = -0.32966 +/- 0.200565 2) RooRealVar:: f1 = 0.434644 +/- 0.0175492 3) RooRealVar:: f2 = 0.163307 +/- 0.0158451 4) RooRealVar:: NLL = 8866.29 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.474265 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.444852 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.1517 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.200565 10) RooRealVar:: alphapull = 0.720993 11) RooRealVar:: f1err = 0.0175492 12) RooRealVar:: f1pull = -0.58169 13) RooRealVar:: f2err = 0.0158451 14) RooRealVar:: f2pull = 0.732544 RooFitResult: minimized FCN value: 8866.29, estimated distance to minimum: 3.94057e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.2966e-01 +/- 2.01e-01 f1 4.0000e-01 4.3464e-01 +/- 1.75e-02 f2 2.0000e-01 1.6331e-01 +/- 1.58e-02 N TOY = 403 1) RooRealVar:: alpha = 1.37882 +/- 0.220548 2) RooRealVar:: f1 = 0.4 +/- 0.0168935 3) RooRealVar:: f2 = 0.152099 +/- 0.0140533 4) RooRealVar:: NLL = 8855.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.75284 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.423883 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.1407 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.220548 10) RooRealVar:: alphapull = -1.69588 11) RooRealVar:: f1err = 0.0168935 12) RooRealVar:: f1pull = -1.41377 13) RooRealVar:: f2err = 0.0140533 14) RooRealVar:: f2pull = 0.811122 RooFitResult: minimized FCN value: 8855.33, estimated distance to minimum: 8.85721e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3788e+00 +/- 2.21e-01 f1 4.0000e-01 4.0000e-01 +/- 1.69e-02 f2 2.0000e-01 1.5210e-01 +/- 1.41e-02 N TOY = 404 1) RooRealVar:: alpha = 1.06756 +/- 0.41915 2) RooRealVar:: f1 = 0.544042 +/- 0.0166651 3) RooRealVar:: f2 = 0.253013 +/- 0.0147719 4) RooRealVar:: NLL = 8625.75 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.29377 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.55567 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.25507 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.41915 10) RooRealVar:: alphapull = -0.53969 11) RooRealVar:: f1err = 0.0166651 12) RooRealVar:: f1pull = -0.69775 13) RooRealVar:: f2err = 0.0147719 14) RooRealVar:: f2pull = -0.139247 RooFitResult: minimized FCN value: 8625.75, estimated distance to minimum: 8.74004e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.0676e+00 +/- 4.19e-01 f1 4.0000e-01 5.4404e-01 +/- 1.67e-02 f2 2.0000e-01 2.5301e-01 +/- 1.48e-02 N TOY = 405 1) RooRealVar:: alpha = -1.41997 +/- 0.189324 2) RooRealVar:: f1 = 0.393102 +/- 0.0179282 3) RooRealVar:: f2 = 0.230373 +/- 0.0171188 4) RooRealVar:: NLL = 8844.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.3604 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.402206 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.223115 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.189324 10) RooRealVar:: alphapull = -0.314652 11) RooRealVar:: f1err = 0.0179282 12) RooRealVar:: f1pull = -0.507787 13) RooRealVar:: f2err = 0.0171188 14) RooRealVar:: f2pull = 0.424005 RooFitResult: minimized FCN value: 8844.69, estimated distance to minimum: 1.512e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4200e+00 +/- 1.89e-01 f1 4.0000e-01 3.9310e-01 +/- 1.79e-02 f2 2.0000e-01 2.3037e-01 +/- 1.71e-02 N TOY = 406 1) RooRealVar:: alpha = -1.14685 +/- 0.176543 2) RooRealVar:: f1 = 0.344231 +/- 0.017968 3) RooRealVar:: f2 = 0.230866 +/- 0.0171144 4) RooRealVar:: NLL = 8927.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.835277 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.319461 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.266242 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.176543 10) RooRealVar:: alphapull = -1.76486 11) RooRealVar:: f1err = 0.017968 12) RooRealVar:: f1pull = 1.37855 13) RooRealVar:: f2err = 0.0171144 14) RooRealVar:: f2pull = -2.06698 RooFitResult: minimized FCN value: 8927.17, estimated distance to minimum: 3.95894e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1469e+00 +/- 1.77e-01 f1 4.0000e-01 3.4423e-01 +/- 1.80e-02 f2 2.0000e-01 2.3087e-01 +/- 1.71e-02 N TOY = 407 1) RooRealVar:: alpha = 0.48455 +/- 0.2975 2) RooRealVar:: f1 = 0.511377 +/- 0.0173919 3) RooRealVar:: f2 = 0.188389 +/- 0.0146461 4) RooRealVar:: NLL = 8733.03 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.440991 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.498033 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.193321 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.2975 10) RooRealVar:: alphapull = 0.146417 11) RooRealVar:: f1err = 0.0173919 12) RooRealVar:: f1pull = 0.767261 13) RooRealVar:: f2err = 0.0146461 14) RooRealVar:: f2pull = -0.336727 RooFitResult: minimized FCN value: 8733.03, estimated distance to minimum: 1.74457e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.8455e-01 +/- 2.97e-01 f1 4.0000e-01 5.1138e-01 +/- 1.74e-02 f2 2.0000e-01 1.8839e-01 +/- 1.46e-02 N TOY = 408 1) RooRealVar:: alpha = 0.343225 +/- 0.232903 2) RooRealVar:: f1 = 0.467744 +/- 0.0177439 3) RooRealVar:: f2 = 0.105429 +/- 0.0145295 4) RooRealVar:: NLL = 8815.35 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.497919 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.500734 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.11276 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.232903 10) RooRealVar:: alphapull = -0.664199 11) RooRealVar:: f1err = 0.0177439 12) RooRealVar:: f1pull = -1.85922 13) RooRealVar:: f2err = 0.0145295 14) RooRealVar:: f2pull = -0.504544 RooFitResult: minimized FCN value: 8815.35, estimated distance to minimum: 5.79554e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.4322e-01 +/- 2.33e-01 f1 4.0000e-01 4.6774e-01 +/- 1.77e-02 f2 2.0000e-01 1.0543e-01 +/- 1.45e-02 N TOY = 409 1) RooRealVar:: alpha = 0.852108 +/- 0.203671 2) RooRealVar:: f1 = 0.220837 +/- 0.0175072 3) RooRealVar:: f2 = 0.202003 +/- 0.0153069 4) RooRealVar:: NLL = 9001.53 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.609429 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.197692 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196393 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203671 10) RooRealVar:: alphapull = 1.19152 11) RooRealVar:: f1err = 0.0175072 12) RooRealVar:: f1pull = 1.32203 13) RooRealVar:: f2err = 0.0153069 14) RooRealVar:: f2pull = 0.366494 RooFitResult: minimized FCN value: 9001.53, estimated distance to minimum: 2.15405e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.5211e-01 +/- 2.04e-01 f1 4.0000e-01 2.2084e-01 +/- 1.75e-02 f2 2.0000e-01 2.0200e-01 +/- 1.53e-02 N TOY = 410 1) RooRealVar:: alpha = -0.847851 +/- 0.185087 2) RooRealVar:: f1 = 0.334582 +/- 0.0179231 3) RooRealVar:: f2 = 0.196809 +/- 0.0170745 4) RooRealVar:: NLL = 8972.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.914818 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.354223 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.222019 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.185087 10) RooRealVar:: alphapull = 0.361815 11) RooRealVar:: f1err = 0.0179231 12) RooRealVar:: f1pull = -1.09589 13) RooRealVar:: f2err = 0.0170745 14) RooRealVar:: f2pull = -1.47646 RooFitResult: minimized FCN value: 8972.52, estimated distance to minimum: 3.01591e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.4785e-01 +/- 1.85e-01 f1 4.0000e-01 3.3458e-01 +/- 1.79e-02 f2 2.0000e-01 1.9681e-01 +/- 1.71e-02 N TOY = 411 1) RooRealVar:: alpha = 0.357233 +/- 0.193633 2) RooRealVar:: f1 = 0.228764 +/- 0.0178498 3) RooRealVar:: f2 = 0.197727 +/- 0.015506 4) RooRealVar:: NLL = 9030.26 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.649093 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.245417 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.198919 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.193633 10) RooRealVar:: alphapull = -1.50729 11) RooRealVar:: f1err = 0.0178498 12) RooRealVar:: f1pull = -0.932948 13) RooRealVar:: f2err = 0.015506 14) RooRealVar:: f2pull = -0.0768897 RooFitResult: minimized FCN value: 9030.26, estimated distance to minimum: 6.46879e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.5723e-01 +/- 1.94e-01 f1 4.0000e-01 2.2876e-01 +/- 1.78e-02 f2 2.0000e-01 1.9773e-01 +/- 1.55e-02 N TOY = 412 1) RooRealVar:: alpha = -1.64884 +/- 0.149258 2) RooRealVar:: f1 = 0.322975 +/- 0.0184948 3) RooRealVar:: f2 = 0.15067 +/- 0.0174748 4) RooRealVar:: NLL = 8991.35 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.78065 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.292287 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.124968 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.149258 10) RooRealVar:: alphapull = 0.883107 11) RooRealVar:: f1err = 0.0184948 12) RooRealVar:: f1pull = 1.65931 13) RooRealVar:: f2err = 0.0174748 14) RooRealVar:: f2pull = 1.47084 RooFitResult: minimized FCN value: 8991.35, estimated distance to minimum: 2.16965e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6488e+00 +/- 1.49e-01 f1 4.0000e-01 3.2298e-01 +/- 1.85e-02 f2 2.0000e-01 1.5067e-01 +/- 1.75e-02 N TOY = 413 1) RooRealVar:: alpha = -1.05684 +/- 0.195895 2) RooRealVar:: f1 = 0.4036 +/- 0.0178419 3) RooRealVar:: f2 = 0.201923 +/- 0.0168361 4) RooRealVar:: NLL = 8877.5 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.937991 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.409523 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.218882 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195895 10) RooRealVar:: alphapull = -0.606691 11) RooRealVar:: f1err = 0.0178419 12) RooRealVar:: f1pull = -0.331982 13) RooRealVar:: f2err = 0.0168361 14) RooRealVar:: f2pull = -1.00733 RooFitResult: minimized FCN value: 8877.5, estimated distance to minimum: 3.95836e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0568e+00 +/- 1.96e-01 f1 4.0000e-01 4.0360e-01 +/- 1.78e-02 f2 2.0000e-01 2.0192e-01 +/- 1.68e-02 N TOY = 414 1) RooRealVar:: alpha = -0.813349 +/- 0.170814 2) RooRealVar:: f1 = 0.307498 +/- 0.0179126 3) RooRealVar:: f2 = 0.182009 +/- 0.0168822 4) RooRealVar:: NLL = 9011.77 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.866627 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.273191 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187022 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.170814 10) RooRealVar:: alphapull = 0.311905 11) RooRealVar:: f1err = 0.0179126 12) RooRealVar:: f1pull = 1.91524 13) RooRealVar:: f2err = 0.0168822 14) RooRealVar:: f2pull = -0.29697 RooFitResult: minimized FCN value: 9011.77, estimated distance to minimum: 8.39473e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.1335e-01 +/- 1.71e-01 f1 4.0000e-01 3.0750e-01 +/- 1.79e-02 f2 2.0000e-01 1.8201e-01 +/- 1.69e-02 N TOY = 415 1) RooRealVar:: alpha = -0.369959 +/- 0.180976 2) RooRealVar:: f1 = 0.32096 +/- 0.0178153 3) RooRealVar:: f2 = 0.192129 +/- 0.0163073 4) RooRealVar:: NLL = 8995.64 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.433028 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.285703 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.180976 10) RooRealVar:: alphapull = 0.348491 11) RooRealVar:: f1err = 0.0178153 12) RooRealVar:: f1pull = 1.97898 13) RooRealVar:: f2err = 0.0163073 14) RooRealVar:: f2pull = -1.1572 RooFitResult: minimized FCN value: 8995.64, estimated distance to minimum: 4.57793e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.6996e-01 +/- 1.81e-01 f1 4.0000e-01 3.2096e-01 +/- 1.78e-02 f2 2.0000e-01 1.9213e-01 +/- 1.63e-02 N TOY = 416 1) RooRealVar:: alpha = -0.0502895 +/- 0.169339 2) RooRealVar:: f1 = 0.290603 +/- 0.0174243 3) RooRealVar:: f2 = 0.193293 +/- 0.0159322 4) RooRealVar:: NLL = 9008.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.310172 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.298741 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.161308 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169339 10) RooRealVar:: alphapull = 1.53468 11) RooRealVar:: f1err = 0.0174243 12) RooRealVar:: f1pull = -0.467097 13) RooRealVar:: f2err = 0.0159322 14) RooRealVar:: f2pull = 2.0076 RooFitResult: minimized FCN value: 9008.69, estimated distance to minimum: 3.27537e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.0289e-02 +/- 1.69e-01 f1 4.0000e-01 2.9060e-01 +/- 1.74e-02 f2 2.0000e-01 1.9329e-01 +/- 1.59e-02 N TOY = 417 1) RooRealVar:: alpha = -0.754606 +/- 0.221625 2) RooRealVar:: f1 = 0.395367 +/- 0.0177608 3) RooRealVar:: f2 = 0.239422 +/- 0.0168188 4) RooRealVar:: NLL = 8856.82 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.468965 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.398063 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.247111 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.221625 10) RooRealVar:: alphapull = -1.28885 11) RooRealVar:: f1err = 0.0177608 12) RooRealVar:: f1pull = -0.151816 13) RooRealVar:: f2err = 0.0168188 14) RooRealVar:: f2pull = -0.457181 RooFitResult: minimized FCN value: 8856.82, estimated distance to minimum: 8.70971e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.5461e-01 +/- 2.22e-01 f1 4.0000e-01 3.9537e-01 +/- 1.78e-02 f2 2.0000e-01 2.3942e-01 +/- 1.68e-02 N TOY = 418 1) RooRealVar:: alpha = 1.96842 +/- 0.215075 2) RooRealVar:: f1 = 0.363206 +/- 0.0163282 3) RooRealVar:: f2 = 0.217814 +/- 0.0138813 4) RooRealVar:: NLL = 8875.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.00011 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.364463 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217388 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.215075 10) RooRealVar:: alphapull = -0.147365 11) RooRealVar:: f1err = 0.0163282 12) RooRealVar:: f1pull = -0.0769888 13) RooRealVar:: f2err = 0.0138813 14) RooRealVar:: f2pull = 0.0306675 RooFitResult: minimized FCN value: 8875.51, estimated distance to minimum: 9.43245e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9684e+00 +/- 2.15e-01 f1 4.0000e-01 3.6321e-01 +/- 1.63e-02 f2 2.0000e-01 2.1781e-01 +/- 1.39e-02 N TOY = 419 1) RooRealVar:: alpha = -0.363495 +/- 0.251057 2) RooRealVar:: f1 = 0.474405 +/- 0.0169904 3) RooRealVar:: f2 = 0.25018 +/- 0.0157244 4) RooRealVar:: NLL = 8737.52 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.466723 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.44518 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.247087 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.251057 10) RooRealVar:: alphapull = 0.411173 11) RooRealVar:: f1err = 0.0169904 12) RooRealVar:: f1pull = 1.72008 13) RooRealVar:: f2err = 0.0157244 14) RooRealVar:: f2pull = 0.196685 RooFitResult: minimized FCN value: 8737.52, estimated distance to minimum: 3.16061e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.6349e-01 +/- 2.51e-01 f1 4.0000e-01 4.7441e-01 +/- 1.70e-02 f2 2.0000e-01 2.5018e-01 +/- 1.57e-02 N TOY = 420 1) RooRealVar:: alpha = -1.62168 +/- 0.190941 2) RooRealVar:: f1 = 0.46262 +/- 0.0180034 3) RooRealVar:: f2 = 0.180898 +/- 0.0169741 4) RooRealVar:: NLL = 8782.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.47481 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.497093 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.19224 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.190941 10) RooRealVar:: alphapull = -0.769201 11) RooRealVar:: f1err = 0.0180034 12) RooRealVar:: f1pull = -1.91482 13) RooRealVar:: f2err = 0.0169741 14) RooRealVar:: f2pull = -0.668173 RooFitResult: minimized FCN value: 8782.07, estimated distance to minimum: 4.54959e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.6217e+00 +/- 1.91e-01 f1 4.0000e-01 4.6262e-01 +/- 1.80e-02 f2 2.0000e-01 1.8090e-01 +/- 1.70e-02 N TOY = 421 1) RooRealVar:: alpha = 0.894288 +/- 0.21861 2) RooRealVar:: f1 = 0.305423 +/- 0.0173748 3) RooRealVar:: f2 = 0.201671 +/- 0.0149652 4) RooRealVar:: NLL = 8957.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.16184 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.291353 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.228243 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.21861 10) RooRealVar:: alphapull = -1.22386 11) RooRealVar:: f1err = 0.0173748 12) RooRealVar:: f1pull = 0.809797 13) RooRealVar:: f2err = 0.0149652 14) RooRealVar:: f2pull = -1.77561 RooFitResult: minimized FCN value: 8957.55, estimated distance to minimum: 6.6564e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 8.9429e-01 +/- 2.19e-01 f1 4.0000e-01 3.0542e-01 +/- 1.74e-02 f2 2.0000e-01 2.0167e-01 +/- 1.50e-02 N TOY = 422 1) RooRealVar:: alpha = -1.4762 +/- 0.177793 2) RooRealVar:: f1 = 0.478905 +/- 0.01779 3) RooRealVar:: f2 = 0.129063 +/- 0.0166095 4) RooRealVar:: NLL = 8794.51 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.24299 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.492018 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.142047 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.177793 10) RooRealVar:: alphapull = -1.31166 11) RooRealVar:: f1err = 0.01779 12) RooRealVar:: f1pull = -0.737137 13) RooRealVar:: f2err = 0.0166095 14) RooRealVar:: f2pull = -0.781674 RooFitResult: minimized FCN value: 8794.51, estimated distance to minimum: 1.43876e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.4762e+00 +/- 1.78e-01 f1 4.0000e-01 4.7890e-01 +/- 1.78e-02 f2 2.0000e-01 1.2906e-01 +/- 1.66e-02 N TOY = 423 1) RooRealVar:: alpha = -0.77415 +/- 0.246728 2) RooRealVar:: f1 = 0.372178 +/- 0.0172734 3) RooRealVar:: f2 = 0.334922 +/- 0.0170969 4) RooRealVar:: NLL = 8776.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.664312 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.346772 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.371946 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.246728 10) RooRealVar:: alphapull = -0.445177 11) RooRealVar:: f1err = 0.0172734 12) RooRealVar:: f1pull = 1.47082 13) RooRealVar:: f2err = 0.0170969 14) RooRealVar:: f2pull = -2.16555 RooFitResult: minimized FCN value: 8776.95, estimated distance to minimum: 4.55297e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.7415e-01 +/- 2.47e-01 f1 4.0000e-01 3.7218e-01 +/- 1.73e-02 f2 2.0000e-01 3.3492e-01 +/- 1.71e-02 N TOY = 424 1) RooRealVar:: alpha = -1.77027 +/- 0.213808 2) RooRealVar:: f1 = 0.450925 +/- 0.017663 3) RooRealVar:: f2 = 0.267704 +/- 0.0171468 4) RooRealVar:: NLL = 8684.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.8148 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.439077 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.263954 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.213808 10) RooRealVar:: alphapull = 0.208265 11) RooRealVar:: f1err = 0.017663 12) RooRealVar:: f1pull = 0.670782 13) RooRealVar:: f2err = 0.0171468 14) RooRealVar:: f2pull = 0.218717 RooFitResult: minimized FCN value: 8684.37, estimated distance to minimum: 4.16467e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7703e+00 +/- 2.14e-01 f1 4.0000e-01 4.5092e-01 +/- 1.77e-02 f2 2.0000e-01 2.6770e-01 +/- 1.71e-02 N TOY = 425 1) RooRealVar:: alpha = -1.96338 +/- 0.151943 2) RooRealVar:: f1 = 0.357792 +/- 0.0184353 3) RooRealVar:: f2 = 0.204787 +/- 0.0176842 4) RooRealVar:: NLL = 8885.93 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -2.01998 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.343872 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.196705 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.151943 10) RooRealVar:: alphapull = 0.372546 11) RooRealVar:: f1err = 0.0184353 12) RooRealVar:: f1pull = 0.75503 13) RooRealVar:: f2err = 0.0176842 14) RooRealVar:: f2pull = 0.457014 RooFitResult: minimized FCN value: 8885.93, estimated distance to minimum: 4.99442e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9634e+00 +/- 1.52e-01 f1 4.0000e-01 3.5779e-01 +/- 1.84e-02 f2 2.0000e-01 2.0479e-01 +/- 1.77e-02 N TOY = 426 1) RooRealVar:: alpha = -0.855095 +/- 0.217539 2) RooRealVar:: f1 = 0.428573 +/- 0.0176495 3) RooRealVar:: f2 = 0.221675 +/- 0.0167908 4) RooRealVar:: NLL = 8828.8 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.558945 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394948 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.242051 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.217539 10) RooRealVar:: alphapull = -1.36137 11) RooRealVar:: f1err = 0.0176495 12) RooRealVar:: f1pull = 1.90515 13) RooRealVar:: f2err = 0.0167908 14) RooRealVar:: f2pull = -1.2135 RooFitResult: minimized FCN value: 8828.8, estimated distance to minimum: 5.5562e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.5509e-01 +/- 2.18e-01 f1 4.0000e-01 4.2857e-01 +/- 1.76e-02 f2 2.0000e-01 2.2168e-01 +/- 1.68e-02 N TOY = 427 1) RooRealVar:: alpha = 0.357657 +/- 0.348701 2) RooRealVar:: f1 = 0.495081 +/- 0.0175331 3) RooRealVar:: f2 = 0.241965 +/- 0.0152823 4) RooRealVar:: NLL = 8723.55 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.428561 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.460907 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.260115 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.348701 10) RooRealVar:: alphapull = -0.203337 11) RooRealVar:: f1err = 0.0175331 12) RooRealVar:: f1pull = 1.94915 13) RooRealVar:: f2err = 0.0152823 14) RooRealVar:: f2pull = -1.18759 RooFitResult: minimized FCN value: 8723.55, estimated distance to minimum: 3.25838e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.5766e-01 +/- 3.49e-01 f1 4.0000e-01 4.9508e-01 +/- 1.75e-02 f2 2.0000e-01 2.4197e-01 +/- 1.53e-02 N TOY = 428 1) RooRealVar:: alpha = -0.683066 +/- 0.222296 2) RooRealVar:: f1 = 0.459334 +/- 0.0174162 3) RooRealVar:: f2 = 0.21025 +/- 0.0163244 4) RooRealVar:: NLL = 8786.19 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.599814 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.506922 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.155132 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.222296 10) RooRealVar:: alphapull = -0.374514 11) RooRealVar:: f1err = 0.0174162 12) RooRealVar:: f1pull = -2.73235 13) RooRealVar:: f2err = 0.0163244 14) RooRealVar:: f2pull = 3.37638 RooFitResult: minimized FCN value: 8786.19, estimated distance to minimum: 1.3792e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -6.8307e-01 +/- 2.22e-01 f1 4.0000e-01 4.5933e-01 +/- 1.74e-02 f2 2.0000e-01 2.1025e-01 +/- 1.63e-02 N TOY = 429 1) RooRealVar:: alpha = 1.4812 +/- 0.274916 2) RooRealVar:: f1 = 0.488651 +/- 0.0166787 3) RooRealVar:: f2 = 0.197095 +/- 0.0139267 4) RooRealVar:: NLL = 8755.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.33529 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.499046 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.182575 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.274916 10) RooRealVar:: alphapull = 0.530722 11) RooRealVar:: f1err = 0.0166787 12) RooRealVar:: f1pull = -0.623263 13) RooRealVar:: f2err = 0.0139267 14) RooRealVar:: f2pull = 1.04258 RooFitResult: minimized FCN value: 8755.24, estimated distance to minimum: 5.0112e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4812e+00 +/- 2.75e-01 f1 4.0000e-01 4.8865e-01 +/- 1.67e-02 f2 2.0000e-01 1.9709e-01 +/- 1.39e-02 N TOY = 430 1) RooRealVar:: alpha = 0.317045 +/- 0.227443 2) RooRealVar:: f1 = 0.323653 +/- 0.0179208 3) RooRealVar:: f2 = 0.214774 +/- 0.0156042 4) RooRealVar:: NLL = 8962.57 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.00942844 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.318901 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.194895 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.227443 10) RooRealVar:: alphapull = 1.43541 11) RooRealVar:: f1err = 0.0179208 12) RooRealVar:: f1pull = 0.265129 13) RooRealVar:: f2err = 0.0156042 14) RooRealVar:: f2pull = 1.27391 RooFitResult: minimized FCN value: 8962.57, estimated distance to minimum: 4.5422e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.1705e-01 +/- 2.27e-01 f1 4.0000e-01 3.2365e-01 +/- 1.79e-02 f2 2.0000e-01 2.1477e-01 +/- 1.56e-02 N TOY = 431 1) RooRealVar:: alpha = -0.000743878 +/- 0.249364 2) RooRealVar:: f1 = 0.458738 +/- 0.017591 3) RooRealVar:: f2 = 0.222116 +/- 0.0150738 4) RooRealVar:: NLL = 8793.37 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.129159 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.432387 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.232523 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.249364 10) RooRealVar:: alphapull = -0.520939 11) RooRealVar:: f1err = 0.017591 12) RooRealVar:: f1pull = 1.49798 13) RooRealVar:: f2err = 0.0150738 14) RooRealVar:: f2pull = -0.690439 RooFitResult: minimized FCN value: 8793.37, estimated distance to minimum: 0.00108969 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.4388e-04 +/- 2.49e-01 f1 4.0000e-01 4.5874e-01 +/- 1.76e-02 f2 2.0000e-01 2.2212e-01 +/- 1.51e-02 N TOY = 432 1) RooRealVar:: alpha = 1.14908 +/- 0.2368 2) RooRealVar:: f1 = 0.318897 +/- 0.0171112 3) RooRealVar:: f2 = 0.238273 +/- 0.0150177 4) RooRealVar:: NLL = 8937.87 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.17003 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.325401 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.263331 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.2368 10) RooRealVar:: alphapull = -0.0884685 11) RooRealVar:: f1err = 0.0171112 12) RooRealVar:: f1pull = -0.380124 13) RooRealVar:: f2err = 0.0150177 14) RooRealVar:: f2pull = -1.66859 RooFitResult: minimized FCN value: 8937.87, estimated distance to minimum: 3.43494e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1491e+00 +/- 2.37e-01 f1 4.0000e-01 3.1890e-01 +/- 1.71e-02 f2 2.0000e-01 2.3827e-01 +/- 1.50e-02 N TOY = 433 1) RooRealVar:: alpha = -0.588271 +/- 0.195817 2) RooRealVar:: f1 = 0.437544 +/- 0.0172891 3) RooRealVar:: f2 = 0.18937 +/- 0.016021 4) RooRealVar:: NLL = 8837.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.468815 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.438722 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.199937 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.195817 10) RooRealVar:: alphapull = -0.610039 11) RooRealVar:: f1err = 0.0172891 12) RooRealVar:: f1pull = -0.0681693 13) RooRealVar:: f2err = 0.016021 14) RooRealVar:: f2pull = -0.659545 RooFitResult: minimized FCN value: 8837.06, estimated distance to minimum: 1.13146e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.8827e-01 +/- 1.96e-01 f1 4.0000e-01 4.3754e-01 +/- 1.73e-02 f2 2.0000e-01 1.8937e-01 +/- 1.60e-02 N TOY = 434 1) RooRealVar:: alpha = 0.492564 +/- 0.276633 2) RooRealVar:: f1 = 0.534507 +/- 0.0171334 3) RooRealVar:: f2 = 0.150662 +/- 0.0143786 4) RooRealVar:: NLL = 8709.14 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.293741 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.535088 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.139093 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.276633 10) RooRealVar:: alphapull = 0.718726 11) RooRealVar:: f1err = 0.0171334 12) RooRealVar:: f1pull = -0.0338718 13) RooRealVar:: f2err = 0.0143786 14) RooRealVar:: f2pull = 0.804574 RooFitResult: minimized FCN value: 8709.14, estimated distance to minimum: 1.47926e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.9256e-01 +/- 2.77e-01 f1 4.0000e-01 5.3451e-01 +/- 1.71e-02 f2 2.0000e-01 1.5066e-01 +/- 1.44e-02 N TOY = 435 1) RooRealVar:: alpha = 0.325705 +/- 0.202355 2) RooRealVar:: f1 = 0.332937 +/- 0.0179437 3) RooRealVar:: f2 = 0.15411 +/- 0.0149367 4) RooRealVar:: NLL = 8963.23 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.317855 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.342853 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.148606 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.202355 10) RooRealVar:: alphapull = 0.0387966 11) RooRealVar:: f1err = 0.0179437 12) RooRealVar:: f1pull = -0.552628 13) RooRealVar:: f2err = 0.0149367 14) RooRealVar:: f2pull = 0.36843 RooFitResult: minimized FCN value: 8963.23, estimated distance to minimum: 8.98994e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.2571e-01 +/- 2.02e-01 f1 4.0000e-01 3.3294e-01 +/- 1.79e-02 f2 2.0000e-01 1.5411e-01 +/- 1.49e-02 N TOY = 436 1) RooRealVar:: alpha = 1.69003 +/- 0.258353 2) RooRealVar:: f1 = 0.375742 +/- 0.0168357 3) RooRealVar:: f2 = 0.253857 +/- 0.0144195 4) RooRealVar:: NLL = 8869.84 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.32489 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.344967 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.26815 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.258353 10) RooRealVar:: alphapull = 1.41333 11) RooRealVar:: f1err = 0.0168357 12) RooRealVar:: f1pull = 1.82796 13) RooRealVar:: f2err = 0.0144195 14) RooRealVar:: f2pull = -0.991188 RooFitResult: minimized FCN value: 8869.84, estimated distance to minimum: 0.000103495 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.6900e+00 +/- 2.58e-01 f1 4.0000e-01 3.7574e-01 +/- 1.68e-02 f2 2.0000e-01 2.5386e-01 +/- 1.44e-02 N TOY = 437 1) RooRealVar:: alpha = -0.0844676 +/- 0.19323 2) RooRealVar:: f1 = 0.332334 +/- 0.0175625 3) RooRealVar:: f2 = 0.21387 +/- 0.0162509 4) RooRealVar:: NLL = 8967.27 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.299779 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.315419 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.205631 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.19323 10) RooRealVar:: alphapull = 1.11427 11) RooRealVar:: f1err = 0.0175625 12) RooRealVar:: f1pull = 0.963097 13) RooRealVar:: f2err = 0.0162509 14) RooRealVar:: f2pull = 0.507021 RooFitResult: minimized FCN value: 8967.27, estimated distance to minimum: 3.72795e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.4468e-02 +/- 1.93e-01 f1 4.0000e-01 3.3233e-01 +/- 1.76e-02 f2 2.0000e-01 2.1387e-01 +/- 1.63e-02 N TOY = 438 1) RooRealVar:: alpha = 0.797635 +/- 0.304326 2) RooRealVar:: f1 = 0.422593 +/- 0.0173357 3) RooRealVar:: f2 = 0.264047 +/- 0.0151375 4) RooRealVar:: NLL = 8809.71 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.16499 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.425893 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.293501 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.304326 10) RooRealVar:: alphapull = -1.2071 11) RooRealVar:: f1err = 0.0173357 12) RooRealVar:: f1pull = -0.19037 13) RooRealVar:: f2err = 0.0151375 14) RooRealVar:: f2pull = -1.94572 RooFitResult: minimized FCN value: 8809.71, estimated distance to minimum: 6.25671e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.9763e-01 +/- 3.04e-01 f1 4.0000e-01 4.2259e-01 +/- 1.73e-02 f2 2.0000e-01 2.6405e-01 +/- 1.51e-02 N TOY = 439 1) RooRealVar:: alpha = -0.887091 +/- 0.18391 2) RooRealVar:: f1 = 0.366884 +/- 0.0177789 3) RooRealVar:: f2 = 0.220076 +/- 0.0166036 4) RooRealVar:: NLL = 8911.99 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.970549 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.370847 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.241097 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.18391 10) RooRealVar:: alphapull = 0.453801 11) RooRealVar:: f1err = 0.0177789 12) RooRealVar:: f1pull = -0.222907 13) RooRealVar:: f2err = 0.0166036 14) RooRealVar:: f2pull = -1.26604 RooFitResult: minimized FCN value: 8911.99, estimated distance to minimum: 5.3429e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.8709e-01 +/- 1.84e-01 f1 4.0000e-01 3.6688e-01 +/- 1.78e-02 f2 2.0000e-01 2.2008e-01 +/- 1.66e-02 N TOY = 440 1) RooRealVar:: alpha = 1.45017 +/- 0.265323 2) RooRealVar:: f1 = 0.488492 +/- 0.0167514 3) RooRealVar:: f2 = 0.179569 +/- 0.0138334 4) RooRealVar:: NLL = 8763.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.70008 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.469153 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.201128 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.265323 10) RooRealVar:: alphapull = -0.941897 11) RooRealVar:: f1err = 0.0167514 12) RooRealVar:: f1pull = 1.15449 13) RooRealVar:: f2err = 0.0138334 14) RooRealVar:: f2pull = -1.55843 RooFitResult: minimized FCN value: 8763.06, estimated distance to minimum: 3.97926e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4502e+00 +/- 2.65e-01 f1 4.0000e-01 4.8849e-01 +/- 1.68e-02 f2 2.0000e-01 1.7957e-01 +/- 1.38e-02 N TOY = 441 1) RooRealVar:: alpha = -0.198408 +/- 0.178537 2) RooRealVar:: f1 = 0.292029 +/- 0.0174576 3) RooRealVar:: f2 = 0.220138 +/- 0.0164152 4) RooRealVar:: NLL = 9001.9 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0333391 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.298941 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.224636 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.178537 10) RooRealVar:: alphapull = -0.924567 11) RooRealVar:: f1err = 0.0174576 12) RooRealVar:: f1pull = -0.39597 13) RooRealVar:: f2err = 0.0164152 14) RooRealVar:: f2pull = -0.274006 RooFitResult: minimized FCN value: 9001.9, estimated distance to minimum: 3.4924e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.9841e-01 +/- 1.79e-01 f1 4.0000e-01 2.9203e-01 +/- 1.75e-02 f2 2.0000e-01 2.2014e-01 +/- 1.64e-02 N TOY = 442 1) RooRealVar:: alpha = 0.487215 +/- 0.313877 2) RooRealVar:: f1 = 0.471128 +/- 0.0177997 3) RooRealVar:: f2 = 0.222465 +/- 0.0151879 4) RooRealVar:: NLL = 8771.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.216367 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.456588 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21519 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.313877 10) RooRealVar:: alphapull = 0.862909 11) RooRealVar:: f1err = 0.0177997 12) RooRealVar:: f1pull = 0.816854 13) RooRealVar:: f2err = 0.0151879 14) RooRealVar:: f2pull = 0.478972 RooFitResult: minimized FCN value: 8771.17, estimated distance to minimum: 2.6368e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.8721e-01 +/- 3.14e-01 f1 4.0000e-01 4.7113e-01 +/- 1.78e-02 f2 2.0000e-01 2.2246e-01 +/- 1.52e-02 N TOY = 443 1) RooRealVar:: alpha = 1.36916 +/- 0.212748 2) RooRealVar:: f1 = 0.356295 +/- 0.0169388 3) RooRealVar:: f2 = 0.161966 +/- 0.0142721 4) RooRealVar:: NLL = 8888.25 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.66823 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.376302 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.159276 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.212748 10) RooRealVar:: alphapull = -1.40576 11) RooRealVar:: f1err = 0.0169388 12) RooRealVar:: f1pull = -1.18116 13) RooRealVar:: f2err = 0.0142721 14) RooRealVar:: f2pull = 0.188484 RooFitResult: minimized FCN value: 8888.25, estimated distance to minimum: 1.8058e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3692e+00 +/- 2.13e-01 f1 4.0000e-01 3.5629e-01 +/- 1.69e-02 f2 2.0000e-01 1.6197e-01 +/- 1.43e-02 N TOY = 444 1) RooRealVar:: alpha = 0.917264 +/- 0.263477 2) RooRealVar:: f1 = 0.482661 +/- 0.017352 3) RooRealVar:: f2 = 0.152195 +/- 0.0143805 4) RooRealVar:: NLL = 8784.29 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.726461 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.484363 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.143531 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.263477 10) RooRealVar:: alphapull = 0.724172 11) RooRealVar:: f1err = 0.017352 12) RooRealVar:: f1pull = -0.0980601 13) RooRealVar:: f2err = 0.0143805 14) RooRealVar:: f2pull = 0.602522 RooFitResult: minimized FCN value: 8784.29, estimated distance to minimum: 3.10517e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.1726e-01 +/- 2.63e-01 f1 4.0000e-01 4.8266e-01 +/- 1.74e-02 f2 2.0000e-01 1.5220e-01 +/- 1.44e-02 N TOY = 445 1) RooRealVar:: alpha = 1.11677 +/- 0.262066 2) RooRealVar:: f1 = 0.39669 +/- 0.0170862 3) RooRealVar:: f2 = 0.244929 +/- 0.014761 4) RooRealVar:: NLL = 8867.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.26817 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.40237 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.253318 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.262066 10) RooRealVar:: alphapull = -0.577735 11) RooRealVar:: f1err = 0.0170862 12) RooRealVar:: f1pull = -0.33245 13) RooRealVar:: f2err = 0.014761 14) RooRealVar:: f2pull = -0.56829 RooFitResult: minimized FCN value: 8867.47, estimated distance to minimum: 1.47594e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1168e+00 +/- 2.62e-01 f1 4.0000e-01 3.9669e-01 +/- 1.71e-02 f2 2.0000e-01 2.4493e-01 +/- 1.48e-02 N TOY = 446 1) RooRealVar:: alpha = 0.113454 +/- 0.271913 2) RooRealVar:: f1 = 0.445198 +/- 0.0180172 3) RooRealVar:: f2 = 0.203477 +/- 0.0152542 4) RooRealVar:: NLL = 8830.22 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.530326 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.481705 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.185341 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.271913 10) RooRealVar:: alphapull = -1.53311 11) RooRealVar:: f1err = 0.0180172 12) RooRealVar:: f1pull = -2.0262 13) RooRealVar:: f2err = 0.0152542 14) RooRealVar:: f2pull = 1.18895 RooFitResult: minimized FCN value: 8830.22, estimated distance to minimum: 6.40336e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.1345e-01 +/- 2.72e-01 f1 4.0000e-01 4.4520e-01 +/- 1.80e-02 f2 2.0000e-01 2.0348e-01 +/- 1.53e-02 N TOY = 447 1) RooRealVar:: alpha = 1.8982 +/- 0.19915 2) RooRealVar:: f1 = 0.408074 +/- 0.0162613 3) RooRealVar:: f2 = 0.19812 +/- 0.0135207 4) RooRealVar:: NLL = 8826.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.63378 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.419371 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.180492 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.19915 10) RooRealVar:: alphapull = 1.32775 11) RooRealVar:: f1err = 0.0162613 12) RooRealVar:: f1pull = -0.694721 13) RooRealVar:: f2err = 0.0135207 14) RooRealVar:: f2pull = 1.30374 RooFitResult: minimized FCN value: 8826.38, estimated distance to minimum: 8.23655e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.8982e+00 +/- 1.99e-01 f1 4.0000e-01 4.0807e-01 +/- 1.63e-02 f2 2.0000e-01 1.9812e-01 +/- 1.35e-02 N TOY = 448 1) RooRealVar:: alpha = 0.0691633 +/- 0.247859 2) RooRealVar:: f1 = 0.443046 +/- 0.0179068 3) RooRealVar:: f2 = 0.171117 +/- 0.0150923 4) RooRealVar:: NLL = 8835.62 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.340587 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.46126 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.167171 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.247859 10) RooRealVar:: alphapull = -1.09507 11) RooRealVar:: f1err = 0.0179068 12) RooRealVar:: f1pull = -1.01711 13) RooRealVar:: f2err = 0.0150923 14) RooRealVar:: f2pull = 0.261436 RooFitResult: minimized FCN value: 8835.62, estimated distance to minimum: 1.27997e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.9163e-02 +/- 2.48e-01 f1 4.0000e-01 4.4305e-01 +/- 1.79e-02 f2 2.0000e-01 1.7112e-01 +/- 1.51e-02 N TOY = 449 1) RooRealVar:: alpha = 0.937712 +/- 0.292078 2) RooRealVar:: f1 = 0.466024 +/- 0.0172311 3) RooRealVar:: f2 = 0.222777 +/- 0.0148507 4) RooRealVar:: NLL = 8773.06 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.889599 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.47725 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21069 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.292078 10) RooRealVar:: alphapull = 0.164728 11) RooRealVar:: f1err = 0.0172311 12) RooRealVar:: f1pull = -0.651513 13) RooRealVar:: f2err = 0.0148507 14) RooRealVar:: f2pull = 0.813901 RooFitResult: minimized FCN value: 8773.06, estimated distance to minimum: 1.79869e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.3771e-01 +/- 2.92e-01 f1 4.0000e-01 4.6602e-01 +/- 1.72e-02 f2 2.0000e-01 2.2278e-01 +/- 1.49e-02 N TOY = 450 1) RooRealVar:: alpha = 2.7297 +/- 0.293077 2) RooRealVar:: f1 = 0.492961 +/- 0.0157198 3) RooRealVar:: f2 = 0.17963 +/- 0.0138243 4) RooRealVar:: NLL = 8721.24 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.7592 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.484553 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.199762 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.293077 10) RooRealVar:: alphapull = -0.100641 11) RooRealVar:: f1err = 0.0157198 12) RooRealVar:: f1pull = 0.534877 13) RooRealVar:: f2err = 0.0138243 14) RooRealVar:: f2pull = -1.4563 RooFitResult: minimized FCN value: 8721.24, estimated distance to minimum: 9.70687e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.7297e+00 +/- 2.93e-01 f1 4.0000e-01 4.9296e-01 +/- 1.57e-02 f2 2.0000e-01 1.7963e-01 +/- 1.38e-02 N TOY = 451 1) RooRealVar:: alpha = -1.16118 +/- 0.203444 2) RooRealVar:: f1 = 0.410674 +/- 0.0177654 3) RooRealVar:: f2 = 0.226078 +/- 0.0170154 4) RooRealVar:: NLL = 8835.42 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.62718 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.418483 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.188264 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203444 10) RooRealVar:: alphapull = 2.29053 11) RooRealVar:: f1err = 0.0177654 12) RooRealVar:: f1pull = -0.439586 13) RooRealVar:: f2err = 0.0170154 14) RooRealVar:: f2pull = 2.22233 RooFitResult: minimized FCN value: 8835.42, estimated distance to minimum: 2.1954e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1612e+00 +/- 2.03e-01 f1 4.0000e-01 4.1067e-01 +/- 1.78e-02 f2 2.0000e-01 2.2608e-01 +/- 1.70e-02 N TOY = 452 1) RooRealVar:: alpha = -0.214098 +/- 0.142426 2) RooRealVar:: f1 = 0.214085 +/- 0.0172058 3) RooRealVar:: f2 = 0.144187 +/- 0.015763 4) RooRealVar:: NLL = 9073.16 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.294679 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.213099 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.1373 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.142426 10) RooRealVar:: alphapull = 0.565776 11) RooRealVar:: f1err = 0.0172058 12) RooRealVar:: f1pull = 0.0573209 13) RooRealVar:: f2err = 0.015763 14) RooRealVar:: f2pull = 0.4369 RooFitResult: minimized FCN value: 9073.16, estimated distance to minimum: 7.32803e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1410e-01 +/- 1.42e-01 f1 4.0000e-01 2.1409e-01 +/- 1.72e-02 f2 2.0000e-01 1.4419e-01 +/- 1.58e-02 N TOY = 453 1) RooRealVar:: alpha = -1.31563 +/- 0.181461 2) RooRealVar:: f1 = 0.421705 +/- 0.0178768 3) RooRealVar:: f2 = 0.174015 +/- 0.0169905 4) RooRealVar:: NLL = 8857.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.39821 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.413473 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.169846 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.181461 10) RooRealVar:: alphapull = 0.455096 11) RooRealVar:: f1err = 0.0178768 12) RooRealVar:: f1pull = 0.460481 13) RooRealVar:: f2err = 0.0169905 14) RooRealVar:: f2pull = 0.245355 RooFitResult: minimized FCN value: 8857.09, estimated distance to minimum: 7.57462e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.3156e+00 +/- 1.81e-01 f1 4.0000e-01 4.2171e-01 +/- 1.79e-02 f2 2.0000e-01 1.7401e-01 +/- 1.70e-02 N TOY = 454 1) RooRealVar:: alpha = -1.70477 +/- 0.163239 2) RooRealVar:: f1 = 0.35137 +/- 0.0184068 3) RooRealVar:: f2 = 0.211755 +/- 0.0174974 4) RooRealVar:: NLL = 8909.38 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.34869 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.370019 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.225936 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.163239 10) RooRealVar:: alphapull = -2.18132 11) RooRealVar:: f1err = 0.0184068 12) RooRealVar:: f1pull = -1.01316 13) RooRealVar:: f2err = 0.0174974 14) RooRealVar:: f2pull = -0.810432 RooFitResult: minimized FCN value: 8909.38, estimated distance to minimum: 1.22006e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7048e+00 +/- 1.63e-01 f1 4.0000e-01 3.5137e-01 +/- 1.84e-02 f2 2.0000e-01 2.1176e-01 +/- 1.75e-02 N TOY = 455 1) RooRealVar:: alpha = 0.365232 +/- 0.242635 2) RooRealVar:: f1 = 0.445921 +/- 0.0175314 3) RooRealVar:: f2 = 0.17581 +/- 0.0147148 4) RooRealVar:: NLL = 8829.09 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.448419 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.449376 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.187117 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.242635 10) RooRealVar:: alphapull = -0.342849 11) RooRealVar:: f1err = 0.0175314 12) RooRealVar:: f1pull = -0.197053 13) RooRealVar:: f2err = 0.0147148 14) RooRealVar:: f2pull = -0.768393 RooFitResult: minimized FCN value: 8829.09, estimated distance to minimum: 8.2365e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 3.6523e-01 +/- 2.43e-01 f1 4.0000e-01 4.4592e-01 +/- 1.75e-02 f2 2.0000e-01 1.7581e-01 +/- 1.47e-02 N TOY = 456 1) RooRealVar:: alpha = -0.380458 +/- 0.174776 2) RooRealVar:: f1 = 0.413224 +/- 0.0175973 3) RooRealVar:: f2 = 0.124966 +/- 0.015446 4) RooRealVar:: NLL = 8906.76 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.647811 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.394266 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.114577 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.174776 10) RooRealVar:: alphapull = 1.52968 11) RooRealVar:: f1err = 0.0175973 12) RooRealVar:: f1pull = 1.07731 13) RooRealVar:: f2err = 0.015446 14) RooRealVar:: f2pull = 0.672627 RooFitResult: minimized FCN value: 8906.76, estimated distance to minimum: 8.24369e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.8046e-01 +/- 1.75e-01 f1 4.0000e-01 4.1322e-01 +/- 1.76e-02 f2 2.0000e-01 1.2497e-01 +/- 1.54e-02 N TOY = 457 1) RooRealVar:: alpha = -0.225614 +/- 0.22706 2) RooRealVar:: f1 = 0.47695 +/- 0.0172128 3) RooRealVar:: f2 = 0.189371 +/- 0.0157149 4) RooRealVar:: NLL = 8780.92 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.470862 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.439575 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.202058 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.22706 10) RooRealVar:: alphapull = 1.0801 11) RooRealVar:: f1err = 0.0172128 12) RooRealVar:: f1pull = 2.17135 13) RooRealVar:: f2err = 0.0157149 14) RooRealVar:: f2pull = -0.807382 RooFitResult: minimized FCN value: 8780.92, estimated distance to minimum: 4.56503e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.2561e-01 +/- 2.27e-01 f1 4.0000e-01 4.7695e-01 +/- 1.72e-02 f2 2.0000e-01 1.8937e-01 +/- 1.57e-02 N TOY = 458 1) RooRealVar:: alpha = 0.197594 +/- 0.339689 2) RooRealVar:: f1 = 0.48695 +/- 0.0177688 3) RooRealVar:: f2 = 0.24844 +/- 0.0153581 4) RooRealVar:: NLL = 8726.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.304737 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.49509 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23485 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.339689 10) RooRealVar:: alphapull = -0.315415 11) RooRealVar:: f1err = 0.0177688 12) RooRealVar:: f1pull = -0.458102 13) RooRealVar:: f2err = 0.0153581 14) RooRealVar:: f2pull = 0.884885 RooFitResult: minimized FCN value: 8726.59, estimated distance to minimum: 1.97978e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.9759e-01 +/- 3.40e-01 f1 4.0000e-01 4.8695e-01 +/- 1.78e-02 f2 2.0000e-01 2.4844e-01 +/- 1.54e-02 N TOY = 459 1) RooRealVar:: alpha = 0.129255 +/- 0.259029 2) RooRealVar:: f1 = 0.465351 +/- 0.0181124 3) RooRealVar:: f2 = 0.162677 +/- 0.0150649 4) RooRealVar:: NLL = 8821.47 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0821149 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.466146 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.166281 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.259029 10) RooRealVar:: alphapull = 0.81601 11) RooRealVar:: f1err = 0.0181124 12) RooRealVar:: f1pull = -0.0438818 13) RooRealVar:: f2err = 0.0150649 14) RooRealVar:: f2pull = -0.23923 RooFitResult: minimized FCN value: 8821.47, estimated distance to minimum: 1.69892e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.2926e-01 +/- 2.59e-01 f1 4.0000e-01 4.6535e-01 +/- 1.81e-02 f2 2.0000e-01 1.6268e-01 +/- 1.51e-02 N TOY = 460 1) RooRealVar:: alpha = -0.273482 +/- 0.1946 2) RooRealVar:: f1 = 0.388433 +/- 0.0175075 3) RooRealVar:: f2 = 0.192516 +/- 0.0163301 4) RooRealVar:: NLL = 8911.59 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.127568 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.392975 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.185922 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.1946 10) RooRealVar:: alphapull = -0.749811 11) RooRealVar:: f1err = 0.0175075 12) RooRealVar:: f1pull = -0.25938 13) RooRealVar:: f2err = 0.0163301 14) RooRealVar:: f2pull = 0.403782 RooFitResult: minimized FCN value: 8911.59, estimated distance to minimum: 2.78122e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.7348e-01 +/- 1.95e-01 f1 4.0000e-01 3.8843e-01 +/- 1.75e-02 f2 2.0000e-01 1.9252e-01 +/- 1.63e-02 N TOY = 461 1) RooRealVar:: alpha = -0.788342 +/- 0.184922 2) RooRealVar:: f1 = 0.355868 +/- 0.0176738 3) RooRealVar:: f2 = 0.211092 +/- 0.0168613 4) RooRealVar:: NLL = 8932.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.969185 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.350958 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219987 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.184922 10) RooRealVar:: alphapull = 0.97794 11) RooRealVar:: f1err = 0.0176738 12) RooRealVar:: f1pull = 0.27781 13) RooRealVar:: f2err = 0.0168613 14) RooRealVar:: f2pull = -0.527545 RooFitResult: minimized FCN value: 8932.44, estimated distance to minimum: 4.23916e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.8834e-01 +/- 1.85e-01 f1 4.0000e-01 3.5587e-01 +/- 1.77e-02 f2 2.0000e-01 2.1109e-01 +/- 1.69e-02 N TOY = 462 1) RooRealVar:: alpha = 0.271564 +/- 0.270289 2) RooRealVar:: f1 = 0.451448 +/- 0.0178364 3) RooRealVar:: f2 = 0.198069 +/- 0.0152557 4) RooRealVar:: NLL = 8828.94 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0760515 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.455093 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.182021 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.270289 10) RooRealVar:: alphapull = 1.28609 11) RooRealVar:: f1err = 0.0178364 12) RooRealVar:: f1pull = -0.20432 13) RooRealVar:: f2err = 0.0152557 14) RooRealVar:: f2pull = 1.05194 RooFitResult: minimized FCN value: 8828.94, estimated distance to minimum: 2.64485e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.7156e-01 +/- 2.70e-01 f1 4.0000e-01 4.5145e-01 +/- 1.78e-02 f2 2.0000e-01 1.9807e-01 +/- 1.53e-02 N TOY = 463 1) RooRealVar:: alpha = -0.21229 +/- 0.172454 2) RooRealVar:: f1 = 0.349761 +/- 0.0175251 3) RooRealVar:: f2 = 0.168324 +/- 0.0159321 4) RooRealVar:: NLL = 8964.07 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.157215 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.352424 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.184022 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.172454 10) RooRealVar:: alphapull = -0.319361 11) RooRealVar:: f1err = 0.0175251 12) RooRealVar:: f1pull = -0.151914 13) RooRealVar:: f2err = 0.0159321 14) RooRealVar:: f2pull = -0.985328 RooFitResult: minimized FCN value: 8964.07, estimated distance to minimum: 5.11604e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1229e-01 +/- 1.72e-01 f1 4.0000e-01 3.4976e-01 +/- 1.75e-02 f2 2.0000e-01 1.6832e-01 +/- 1.59e-02 N TOY = 464 1) RooRealVar:: alpha = -1.09894 +/- 0.291724 2) RooRealVar:: f1 = 0.531894 +/- 0.0168941 3) RooRealVar:: f2 = 0.251526 +/- 0.0162689 4) RooRealVar:: NLL = 8597.32 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.659502 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.557032 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.23982 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.291724 10) RooRealVar:: alphapull = -1.50633 11) RooRealVar:: f1err = 0.0168941 12) RooRealVar:: f1pull = -1.48796 13) RooRealVar:: f2err = 0.0162689 14) RooRealVar:: f2pull = 0.719492 RooFitResult: minimized FCN value: 8597.32, estimated distance to minimum: 3.33275e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0989e+00 +/- 2.92e-01 f1 4.0000e-01 5.3189e-01 +/- 1.69e-02 f2 2.0000e-01 2.5153e-01 +/- 1.63e-02 N TOY = 465 1) RooRealVar:: alpha = -1.05317 +/- 0.169206 2) RooRealVar:: f1 = 0.328409 +/- 0.0179709 3) RooRealVar:: f2 = 0.182573 +/- 0.0171709 4) RooRealVar:: NLL = 8986.57 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.26656 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.324359 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.143904 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.169206 10) RooRealVar:: alphapull = 1.26115 11) RooRealVar:: f1err = 0.0179709 12) RooRealVar:: f1pull = 0.225341 13) RooRealVar:: f2err = 0.0171709 14) RooRealVar:: f2pull = 2.25197 RooFitResult: minimized FCN value: 8986.57, estimated distance to minimum: 6.97582e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.0532e+00 +/- 1.69e-01 f1 4.0000e-01 3.2841e-01 +/- 1.80e-02 f2 2.0000e-01 1.8257e-01 +/- 1.72e-02 N TOY = 466 1) RooRealVar:: alpha = -0.486922 +/- 0.189889 2) RooRealVar:: f1 = 0.444861 +/- 0.0173927 3) RooRealVar:: f2 = 0.1496 +/- 0.0157034 4) RooRealVar:: NLL = 8850.3 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0966491 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.42901 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.183082 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.189889 10) RooRealVar:: alphapull = -2.05527 11) RooRealVar:: f1err = 0.0173927 12) RooRealVar:: f1pull = 0.911371 13) RooRealVar:: f2err = 0.0157034 14) RooRealVar:: f2pull = -2.13213 RooFitResult: minimized FCN value: 8850.3, estimated distance to minimum: 1.2575e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.8692e-01 +/- 1.90e-01 f1 4.0000e-01 4.4486e-01 +/- 1.74e-02 f2 2.0000e-01 1.4960e-01 +/- 1.57e-02 N TOY = 467 1) RooRealVar:: alpha = 2.69134 +/- 0.203575 2) RooRealVar:: f1 = 0.242173 +/- 0.0155988 3) RooRealVar:: f2 = 0.257913 +/- 0.0142733 4) RooRealVar:: NLL = 8858.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.70466 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.245404 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.262317 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.203575 10) RooRealVar:: alphapull = -0.0654678 11) RooRealVar:: f1err = 0.0155988 12) RooRealVar:: f1pull = -0.207165 13) RooRealVar:: f2err = 0.0142733 14) RooRealVar:: f2pull = -0.308545 RooFitResult: minimized FCN value: 8858.54, estimated distance to minimum: 6.9198e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.6913e+00 +/- 2.04e-01 f1 4.0000e-01 2.4217e-01 +/- 1.56e-02 f2 2.0000e-01 2.5791e-01 +/- 1.43e-02 N TOY = 468 1) RooRealVar:: alpha = 0.566418 +/- 0.289246 2) RooRealVar:: f1 = 0.52317 +/- 0.0167839 3) RooRealVar:: f2 = 0.194484 +/- 0.0144371 4) RooRealVar:: NLL = 8702.1 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.105465 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.531712 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.172501 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.289246 10) RooRealVar:: alphapull = 1.59363 11) RooRealVar:: f1err = 0.0167839 12) RooRealVar:: f1pull = -0.508929 13) RooRealVar:: f2err = 0.0144371 14) RooRealVar:: f2pull = 1.52268 RooFitResult: minimized FCN value: 8702.1, estimated distance to minimum: 5.89897e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.6642e-01 +/- 2.89e-01 f1 4.0000e-01 5.2317e-01 +/- 1.68e-02 f2 2.0000e-01 1.9448e-01 +/- 1.44e-02 N TOY = 469 1) RooRealVar:: alpha = 0.999059 +/- 0.316117 2) RooRealVar:: f1 = 0.473574 +/- 0.0171973 3) RooRealVar:: f2 = 0.208322 +/- 0.0149847 4) RooRealVar:: NLL = 8790.54 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.791946 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.472071 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.2011 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.316117 10) RooRealVar:: alphapull = 0.655177 11) RooRealVar:: f1err = 0.0171973 12) RooRealVar:: f1pull = 0.0874331 13) RooRealVar:: f2err = 0.0149847 14) RooRealVar:: f2pull = 0.481911 RooFitResult: minimized FCN value: 8790.54, estimated distance to minimum: 4.89932e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 9.9906e-01 +/- 3.16e-01 f1 4.0000e-01 4.7357e-01 +/- 1.72e-02 f2 2.0000e-01 2.0832e-01 +/- 1.50e-02 N TOY = 470 1) RooRealVar:: alpha = 0.590872 +/- 0.305105 2) RooRealVar:: f1 = 0.430004 +/- 0.0174845 3) RooRealVar:: f2 = 0.260875 +/- 0.0152461 4) RooRealVar:: NLL = 8818.33 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.452485 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.456668 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.2478 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.305105 10) RooRealVar:: alphapull = 0.453571 11) RooRealVar:: f1err = 0.0174845 12) RooRealVar:: f1pull = -1.52503 13) RooRealVar:: f2err = 0.0152461 14) RooRealVar:: f2pull = 0.857582 RooFitResult: minimized FCN value: 8818.33, estimated distance to minimum: 7.11104e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.9087e-01 +/- 3.05e-01 f1 4.0000e-01 4.3000e-01 +/- 1.75e-02 f2 2.0000e-01 2.6088e-01 +/- 1.52e-02 N TOY = 471 1) RooRealVar:: alpha = 1.52042 +/- 0.198149 2) RooRealVar:: f1 = 0.389513 +/- 0.0169657 3) RooRealVar:: f2 = 0.151733 +/- 0.0134833 4) RooRealVar:: NLL = 8853.04 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.63287 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.382811 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.17281 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.198149 10) RooRealVar:: alphapull = -0.567522 11) RooRealVar:: f1err = 0.0169657 12) RooRealVar:: f1pull = 0.395011 13) RooRealVar:: f2err = 0.0134833 14) RooRealVar:: f2pull = -1.56324 RooFitResult: minimized FCN value: 8853.04, estimated distance to minimum: 9.43267e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5204e+00 +/- 1.98e-01 f1 4.0000e-01 3.8951e-01 +/- 1.70e-02 f2 2.0000e-01 1.5173e-01 +/- 1.35e-02 N TOY = 472 1) RooRealVar:: alpha = 0.734185 +/- 0.304664 2) RooRealVar:: f1 = 0.504379 +/- 0.0171777 3) RooRealVar:: f2 = 0.187263 +/- 0.0145255 4) RooRealVar:: NLL = 8746.17 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.13474 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.473589 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.168521 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.304664 10) RooRealVar:: alphapull = 1.96756 11) RooRealVar:: f1err = 0.0171777 12) RooRealVar:: f1pull = 1.79247 13) RooRealVar:: f2err = 0.0145255 14) RooRealVar:: f2pull = 1.29024 RooFitResult: minimized FCN value: 8746.17, estimated distance to minimum: 7.74713e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.3418e-01 +/- 3.05e-01 f1 4.0000e-01 5.0438e-01 +/- 1.72e-02 f2 2.0000e-01 1.8726e-01 +/- 1.45e-02 N TOY = 473 1) RooRealVar:: alpha = 0.768292 +/- 0.231826 2) RooRealVar:: f1 = 0.39659 +/- 0.017556 3) RooRealVar:: f2 = 0.176476 +/- 0.0145387 4) RooRealVar:: NLL = 8886.95 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.556798 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.399363 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.186332 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.231826 10) RooRealVar:: alphapull = 0.912298 11) RooRealVar:: f1err = 0.017556 12) RooRealVar:: f1pull = -0.157971 13) RooRealVar:: f2err = 0.0145387 14) RooRealVar:: f2pull = -0.677964 RooFitResult: minimized FCN value: 8886.95, estimated distance to minimum: 5.98695e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 7.6829e-01 +/- 2.32e-01 f1 4.0000e-01 3.9659e-01 +/- 1.76e-02 f2 2.0000e-01 1.7648e-01 +/- 1.45e-02 N TOY = 474 1) RooRealVar:: alpha = -0.511273 +/- 0.161733 2) RooRealVar:: f1 = 0.264628 +/- 0.0175978 3) RooRealVar:: f2 = 0.179502 +/- 0.0165444 4) RooRealVar:: NLL = 9050.31 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.64544 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.288846 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.151841 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.161733 10) RooRealVar:: alphapull = 0.829558 11) RooRealVar:: f1err = 0.0175978 12) RooRealVar:: f1pull = -1.37624 13) RooRealVar:: f2err = 0.0165444 14) RooRealVar:: f2pull = 1.67191 RooFitResult: minimized FCN value: 9050.31, estimated distance to minimum: 8.66734e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.1127e-01 +/- 1.62e-01 f1 4.0000e-01 2.6463e-01 +/- 1.76e-02 f2 2.0000e-01 1.7950e-01 +/- 1.65e-02 N TOY = 475 1) RooRealVar:: alpha = -0.0792678 +/- 0.227339 2) RooRealVar:: f1 = 0.471194 +/- 0.0169031 3) RooRealVar:: f2 = 0.199999 +/- 0.0158873 4) RooRealVar:: NLL = 8781.3 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.30408 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.487324 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.214778 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.227339 10) RooRealVar:: alphapull = -1.68624 11) RooRealVar:: f1err = 0.0169031 12) RooRealVar:: f1pull = -0.954275 13) RooRealVar:: f2err = 0.0158873 14) RooRealVar:: f2pull = -0.930205 RooFitResult: minimized FCN value: 8781.3, estimated distance to minimum: 4.22845e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -7.9268e-02 +/- 2.27e-01 f1 4.0000e-01 4.7119e-01 +/- 1.69e-02 f2 2.0000e-01 2.0000e-01 +/- 1.59e-02 N TOY = 476 1) RooRealVar:: alpha = 0.610341 +/- 0.190194 2) RooRealVar:: f1 = 0.348409 +/- 0.017445 3) RooRealVar:: f2 = 0.122405 +/- 0.0143108 4) RooRealVar:: NLL = 8924.98 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0543547 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.320904 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.0985021 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.190194 10) RooRealVar:: alphapull = 3.49483 11) RooRealVar:: f1err = 0.017445 12) RooRealVar:: f1pull = 1.57666 13) RooRealVar:: f2err = 0.0143108 14) RooRealVar:: f2pull = 1.67029 RooFitResult: minimized FCN value: 8924.98, estimated distance to minimum: 2.89813e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 6.1034e-01 +/- 1.90e-01 f1 4.0000e-01 3.4841e-01 +/- 1.74e-02 f2 2.0000e-01 1.2241e-01 +/- 1.43e-02 N TOY = 477 1) RooRealVar:: alpha = 1.45093 +/- 0.294891 2) RooRealVar:: f1 = 0.494315 +/- 0.0164752 3) RooRealVar:: f2 = 0.21342 +/- 0.0140269 4) RooRealVar:: NLL = 8745.96 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.35052 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.463262 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.22623 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294891 10) RooRealVar:: alphapull = 0.340503 11) RooRealVar:: f1err = 0.0164752 12) RooRealVar:: f1pull = 1.8848 13) RooRealVar:: f2err = 0.0140269 14) RooRealVar:: f2pull = -0.913233 RooFitResult: minimized FCN value: 8745.96, estimated distance to minimum: 1.56681e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4509e+00 +/- 2.95e-01 f1 4.0000e-01 4.9431e-01 +/- 1.65e-02 f2 2.0000e-01 2.1342e-01 +/- 1.40e-02 N TOY = 478 1) RooRealVar:: alpha = -0.0343539 +/- 0.260561 2) RooRealVar:: f1 = 0.449572 +/- 0.0170729 3) RooRealVar:: f2 = 0.260157 +/- 0.0159477 4) RooRealVar:: NLL = 8776.15 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.374366 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.435661 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.252902 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.260561 10) RooRealVar:: alphapull = 1.30493 11) RooRealVar:: f1err = 0.0170729 12) RooRealVar:: f1pull = 0.814798 13) RooRealVar:: f2err = 0.0159477 14) RooRealVar:: f2pull = 0.454912 RooFitResult: minimized FCN value: 8776.15, estimated distance to minimum: 2.04389e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.4354e-02 +/- 2.61e-01 f1 4.0000e-01 4.4957e-01 +/- 1.71e-02 f2 2.0000e-01 2.6016e-01 +/- 1.59e-02 N TOY = 479 1) RooRealVar:: alpha = 1.3622 +/- 0.220676 2) RooRealVar:: f1 = 0.36231 +/- 0.0168046 3) RooRealVar:: f2 = 0.203281 +/- 0.014208 4) RooRealVar:: NLL = 8895.35 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.44345 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.362635 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.209155 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.220676 10) RooRealVar:: alphapull = -0.368184 11) RooRealVar:: f1err = 0.0168046 12) RooRealVar:: f1pull = -0.0193132 13) RooRealVar:: f2err = 0.014208 14) RooRealVar:: f2pull = -0.413419 RooFitResult: minimized FCN value: 8895.35, estimated distance to minimum: 8.50684e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.3622e+00 +/- 2.21e-01 f1 4.0000e-01 3.6231e-01 +/- 1.68e-02 f2 2.0000e-01 2.0328e-01 +/- 1.42e-02 N TOY = 480 1) RooRealVar:: alpha = 1.49578 +/- 0.292331 2) RooRealVar:: f1 = 0.463596 +/- 0.0170398 3) RooRealVar:: f2 = 0.221069 +/- 0.0142385 4) RooRealVar:: NLL = 8788.78 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 1.3111 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.451245 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.219497 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.292331 10) RooRealVar:: alphapull = 0.631769 11) RooRealVar:: f1err = 0.0170398 12) RooRealVar:: f1pull = 0.724798 13) RooRealVar:: f2err = 0.0142385 14) RooRealVar:: f2pull = 0.110404 RooFitResult: minimized FCN value: 8788.78, estimated distance to minimum: 7.21485e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.4958e+00 +/- 2.92e-01 f1 4.0000e-01 4.6360e-01 +/- 1.70e-02 f2 2.0000e-01 2.2107e-01 +/- 1.42e-02 N TOY = 481 1) RooRealVar:: alpha = -0.21116 +/- 0.188232 2) RooRealVar:: f1 = 0.375312 +/- 0.0174694 3) RooRealVar:: f2 = 0.206089 +/- 0.0158619 4) RooRealVar:: NLL = 8913.6 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.267885 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.364148 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.215938 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.188232 10) RooRealVar:: alphapull = 0.301355 11) RooRealVar:: f1err = 0.0174694 12) RooRealVar:: f1pull = 0.63907 13) RooRealVar:: f2err = 0.0158619 14) RooRealVar:: f2pull = -0.620948 RooFitResult: minimized FCN value: 8913.6, estimated distance to minimum: 4.62929e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.1116e-01 +/- 1.88e-01 f1 4.0000e-01 3.7531e-01 +/- 1.75e-02 f2 2.0000e-01 2.0609e-01 +/- 1.59e-02 N TOY = 482 1) RooRealVar:: alpha = -0.176313 +/- 0.206752 2) RooRealVar:: f1 = 0.383041 +/- 0.0173796 3) RooRealVar:: f2 = 0.225096 +/- 0.0161333 4) RooRealVar:: NLL = 8896.9 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.294597 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.353569 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.213507 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.206752 10) RooRealVar:: alphapull = 0.572104 11) RooRealVar:: f1err = 0.0173796 12) RooRealVar:: f1pull = 1.69579 13) RooRealVar:: f2err = 0.0161333 14) RooRealVar:: f2pull = 0.718344 RooFitResult: minimized FCN value: 8896.9, estimated distance to minimum: 1.02605e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.7631e-01 +/- 2.07e-01 f1 4.0000e-01 3.8304e-01 +/- 1.74e-02 f2 2.0000e-01 2.2510e-01 +/- 1.61e-02 N TOY = 483 1) RooRealVar:: alpha = 0.51864 +/- 0.266026 2) RooRealVar:: f1 = 0.347687 +/- 0.0180275 3) RooRealVar:: f2 = 0.229631 +/- 0.0157334 4) RooRealVar:: NLL = 8931.11 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.476179 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.344921 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.238271 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.266026 10) RooRealVar:: alphapull = 0.159611 11) RooRealVar:: f1err = 0.0180275 12) RooRealVar:: f1pull = 0.153414 13) RooRealVar:: f2err = 0.0157334 14) RooRealVar:: f2pull = -0.549108 RooFitResult: minimized FCN value: 8931.11, estimated distance to minimum: 1.08973e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.1864e-01 +/- 2.66e-01 f1 4.0000e-01 3.4769e-01 +/- 1.80e-02 f2 2.0000e-01 2.2963e-01 +/- 1.57e-02 N TOY = 484 1) RooRealVar:: alpha = -0.117747 +/- 0.238931 2) RooRealVar:: f1 = 0.511279 +/- 0.0167113 3) RooRealVar:: f2 = 0.208867 +/- 0.015368 4) RooRealVar:: NLL = 8699.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.123181 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.49543 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.217348 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.238931 10) RooRealVar:: alphapull = 0.0227439 11) RooRealVar:: f1err = 0.0167113 12) RooRealVar:: f1pull = 0.948388 13) RooRealVar:: f2err = 0.015368 14) RooRealVar:: f2pull = -0.551887 RooFitResult: minimized FCN value: 8699.66, estimated distance to minimum: 1.53297e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1775e-01 +/- 2.39e-01 f1 4.0000e-01 5.1128e-01 +/- 1.67e-02 f2 2.0000e-01 2.0887e-01 +/- 1.54e-02 N TOY = 485 1) RooRealVar:: alpha = 0.284969 +/- 0.201697 2) RooRealVar:: f1 = 0.390935 +/- 0.0177121 3) RooRealVar:: f2 = 0.108597 +/- 0.0145822 4) RooRealVar:: NLL = 8904.97 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.556248 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.391533 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.113934 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.201697 10) RooRealVar:: alphapull = -1.34499 11) RooRealVar:: f1err = 0.0177121 12) RooRealVar:: f1pull = -0.0337275 13) RooRealVar:: f2err = 0.0145822 14) RooRealVar:: f2pull = -0.366002 RooFitResult: minimized FCN value: 8904.97, estimated distance to minimum: 5.9255e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.8497e-01 +/- 2.02e-01 f1 4.0000e-01 3.9094e-01 +/- 1.77e-02 f2 2.0000e-01 1.0860e-01 +/- 1.46e-02 N TOY = 486 1) RooRealVar:: alpha = 0.516648 +/- 0.19061 2) RooRealVar:: f1 = 0.248008 +/- 0.0173947 3) RooRealVar:: f2 = 0.181856 +/- 0.0153242 4) RooRealVar:: NLL = 9015.48 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.656628 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.293667 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.178898 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.19061 10) RooRealVar:: alphapull = -0.734379 11) RooRealVar:: f1err = 0.0173947 12) RooRealVar:: f1pull = -2.6249 13) RooRealVar:: f2err = 0.0153242 14) RooRealVar:: f2pull = 0.192968 RooFitResult: minimized FCN value: 9015.48, estimated distance to minimum: 9.15374e-08 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 5.1665e-01 +/- 1.91e-01 f1 4.0000e-01 2.4801e-01 +/- 1.74e-02 f2 2.0000e-01 1.8186e-01 +/- 1.53e-02 N TOY = 487 1) RooRealVar:: alpha = -0.894275 +/- 0.184353 2) RooRealVar:: f1 = 0.459506 +/- 0.0175945 3) RooRealVar:: f2 = 0.124945 +/- 0.0162835 4) RooRealVar:: NLL = 8840.61 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.877507 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.471443 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.123084 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.184353 10) RooRealVar:: alphapull = -0.0909577 11) RooRealVar:: f1err = 0.0175945 12) RooRealVar:: f1pull = -0.678481 13) RooRealVar:: f2err = 0.0162835 14) RooRealVar:: f2pull = 0.114293 RooFitResult: minimized FCN value: 8840.61, estimated distance to minimum: 1.89932e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -8.9427e-01 +/- 1.84e-01 f1 4.0000e-01 4.5951e-01 +/- 1.76e-02 f2 2.0000e-01 1.2495e-01 +/- 1.63e-02 N TOY = 488 1) RooRealVar:: alpha = 0.420922 +/- 0.264765 2) RooRealVar:: f1 = 0.402463 +/- 0.0179189 3) RooRealVar:: f2 = 0.228426 +/- 0.0152782 4) RooRealVar:: NLL = 8873.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.574047 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.415228 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211547 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.264765 10) RooRealVar:: alphapull = -0.578341 11) RooRealVar:: f1err = 0.0179189 12) RooRealVar:: f1pull = -0.712405 13) RooRealVar:: f2err = 0.0152782 14) RooRealVar:: f2pull = 1.10473 RooFitResult: minimized FCN value: 8873.44, estimated distance to minimum: 6.65808e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.2092e-01 +/- 2.65e-01 f1 4.0000e-01 4.0246e-01 +/- 1.79e-02 f2 2.0000e-01 2.2843e-01 +/- 1.53e-02 N TOY = 489 1) RooRealVar:: alpha = -1.1752 +/- 0.162965 2) RooRealVar:: f1 = 0.364063 +/- 0.018055 3) RooRealVar:: f2 = 0.163671 +/- 0.0167857 4) RooRealVar:: NLL = 8947.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.42742 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.330504 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.145752 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.162965 10) RooRealVar:: alphapull = 1.5477 11) RooRealVar:: f1err = 0.018055 12) RooRealVar:: f1pull = 1.85868 13) RooRealVar:: f2err = 0.0167857 14) RooRealVar:: f2pull = 1.06749 RooFitResult: minimized FCN value: 8947.66, estimated distance to minimum: 4.05053e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.1752e+00 +/- 1.63e-01 f1 4.0000e-01 3.6406e-01 +/- 1.81e-02 f2 2.0000e-01 1.6367e-01 +/- 1.68e-02 N TOY = 490 1) RooRealVar:: alpha = 0.473178 +/- 0.265356 2) RooRealVar:: f1 = 0.477158 +/- 0.0175458 3) RooRealVar:: f2 = 0.178702 +/- 0.0148231 4) RooRealVar:: NLL = 8791.66 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.0639659 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.479543 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.166257 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.265356 10) RooRealVar:: alphapull = 2.02424 11) RooRealVar:: f1err = 0.0175458 12) RooRealVar:: f1pull = -0.135946 13) RooRealVar:: f2err = 0.0148231 14) RooRealVar:: f2pull = 0.839591 RooFitResult: minimized FCN value: 8791.66, estimated distance to minimum: 3.51452e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 4.7318e-01 +/- 2.65e-01 f1 4.0000e-01 4.7716e-01 +/- 1.75e-02 f2 2.0000e-01 1.7870e-01 +/- 1.48e-02 N TOY = 491 1) RooRealVar:: alpha = -1.24171 +/- 0.216751 2) RooRealVar:: f1 = 0.494755 +/- 0.0176686 3) RooRealVar:: f2 = 0.175103 +/- 0.0165453 4) RooRealVar:: NLL = 8738.12 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -1.30861 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.508421 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.167824 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.216751 10) RooRealVar:: alphapull = 0.308667 11) RooRealVar:: f1err = 0.0176686 12) RooRealVar:: f1pull = -0.773477 13) RooRealVar:: f2err = 0.0165453 14) RooRealVar:: f2pull = 0.43994 RooFitResult: minimized FCN value: 8738.12, estimated distance to minimum: 9.58315e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -1.2417e+00 +/- 2.17e-01 f1 4.0000e-01 4.9475e-01 +/- 1.77e-02 f2 2.0000e-01 1.7510e-01 +/- 1.65e-02 N TOY = 492 1) RooRealVar:: alpha = -0.296533 +/- 0.220449 2) RooRealVar:: f1 = 0.480936 +/- 0.0170026 3) RooRealVar:: f2 = 0.202387 +/- 0.015502 4) RooRealVar:: NLL = 8758.88 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.0983361 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.49249 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.21288 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.220449 10) RooRealVar:: alphapull = -1.79121 11) RooRealVar:: f1err = 0.0170026 12) RooRealVar:: f1pull = -0.67953 13) RooRealVar:: f2err = 0.015502 14) RooRealVar:: f2pull = -0.676871 RooFitResult: minimized FCN value: 8758.88, estimated distance to minimum: 2.87413e-06 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -2.9653e-01 +/- 2.20e-01 f1 4.0000e-01 4.8094e-01 +/- 1.70e-02 f2 2.0000e-01 2.0239e-01 +/- 1.55e-02 N TOY = 493 1) RooRealVar:: alpha = 2.08931 +/- 0.294903 2) RooRealVar:: f1 = 0.465434 +/- 0.016682 3) RooRealVar:: f2 = 0.1653 +/- 0.0142225 4) RooRealVar:: NLL = 8782.4 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 2.20042 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.474934 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.158781 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.294903 10) RooRealVar:: alphapull = -0.376767 11) RooRealVar:: f1err = 0.016682 12) RooRealVar:: f1pull = -0.569465 13) RooRealVar:: f2err = 0.0142225 14) RooRealVar:: f2pull = 0.45838 RooFitResult: minimized FCN value: 8782.4, estimated distance to minimum: 6.60171e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 2.0893e+00 +/- 2.95e-01 f1 4.0000e-01 4.6543e-01 +/- 1.67e-02 f2 2.0000e-01 1.6530e-01 +/- 1.42e-02 N TOY = 494 1) RooRealVar:: alpha = -0.0913869 +/- 0.204577 2) RooRealVar:: f1 = 0.422959 +/- 0.0172965 3) RooRealVar:: f2 = 0.200482 +/- 0.0158287 4) RooRealVar:: NLL = 8855.44 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.576836 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.439974 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.222305 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.204577 10) RooRealVar:: alphapull = -3.26635 11) RooRealVar:: f1err = 0.0172965 12) RooRealVar:: f1pull = -0.983737 13) RooRealVar:: f2err = 0.0158287 14) RooRealVar:: f2pull = -1.37864 RooFitResult: minimized FCN value: 8855.44, estimated distance to minimum: 2.07695e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -9.1387e-02 +/- 2.05e-01 f1 4.0000e-01 4.2296e-01 +/- 1.73e-02 f2 2.0000e-01 2.0048e-01 +/- 1.58e-02 N TOY = 495 1) RooRealVar:: alpha = -0.447783 +/- 0.184002 2) RooRealVar:: f1 = 0.383998 +/- 0.0175876 3) RooRealVar:: f2 = 0.167905 +/- 0.016064 4) RooRealVar:: NLL = 8928.18 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.266088 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.372065 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.1761 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.184002 10) RooRealVar:: alphapull = -0.987464 11) RooRealVar:: f1err = 0.0175876 12) RooRealVar:: f1pull = 0.678493 13) RooRealVar:: f2err = 0.016064 14) RooRealVar:: f2pull = -0.510119 RooFitResult: minimized FCN value: 8928.18, estimated distance to minimum: 1.26326e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -4.4778e-01 +/- 1.84e-01 f1 4.0000e-01 3.8400e-01 +/- 1.76e-02 f2 2.0000e-01 1.6791e-01 +/- 1.61e-02 N TOY = 496 1) RooRealVar:: alpha = -0.548385 +/- 0.168575 2) RooRealVar:: f1 = 0.238595 +/- 0.0175818 3) RooRealVar:: f2 = 0.232148 +/- 0.0169731 4) RooRealVar:: NLL = 9047.13 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.662391 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.239132 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.229421 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.168575 10) RooRealVar:: alphapull = 0.676292 11) RooRealVar:: f1err = 0.0175818 12) RooRealVar:: f1pull = -0.0305584 13) RooRealVar:: f2err = 0.0169731 14) RooRealVar:: f2pull = 0.160644 RooFitResult: minimized FCN value: 9047.13, estimated distance to minimum: 5.53514e-09 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.4839e-01 +/- 1.69e-01 f1 4.0000e-01 2.3859e-01 +/- 1.76e-02 f2 2.0000e-01 2.3215e-01 +/- 1.70e-02 N TOY = 497 1) RooRealVar:: alpha = -0.393071 +/- 0.245488 2) RooRealVar:: f1 = 0.452111 +/- 0.0170834 3) RooRealVar:: f2 = 0.250193 +/- 0.0164342 4) RooRealVar:: NLL = 8766.69 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.480981 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.454299 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.262823 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.245488 10) RooRealVar:: alphapull = 0.358104 11) RooRealVar:: f1err = 0.0170834 12) RooRealVar:: f1pull = -0.128105 13) RooRealVar:: f2err = 0.0164342 14) RooRealVar:: f2pull = -0.768536 RooFitResult: minimized FCN value: 8766.69, estimated distance to minimum: 3.04657e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -3.9307e-01 +/- 2.45e-01 f1 4.0000e-01 4.5211e-01 +/- 1.71e-02 f2 2.0000e-01 2.5019e-01 +/- 1.64e-02 N TOY = 498 1) RooRealVar:: alpha = 0.15768 +/- 0.273984 2) RooRealVar:: f1 = 0.514833 +/- 0.0172349 3) RooRealVar:: f2 = 0.18524 +/- 0.0149222 4) RooRealVar:: NLL = 8725.68 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = 0.633684 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.525051 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.211752 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.273984 10) RooRealVar:: alphapull = -1.73734 11) RooRealVar:: f1err = 0.0172349 12) RooRealVar:: f1pull = -0.592844 13) RooRealVar:: f2err = 0.0149222 14) RooRealVar:: f2pull = -1.77667 RooFitResult: minimized FCN value: 8725.68, estimated distance to minimum: 3.59338e-07 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 1.5768e-01 +/- 2.74e-01 f1 4.0000e-01 5.1483e-01 +/- 1.72e-02 f2 2.0000e-01 1.8524e-01 +/- 1.49e-02 N TOY = 499 1) RooRealVar:: alpha = -0.054206 +/- 0.168209 2) RooRealVar:: f1 = 0.28946 +/- 0.0173596 3) RooRealVar:: f2 = 0.178456 +/- 0.0159777 4) RooRealVar:: NLL = 9016.9 5) RooRealVar:: ngen = 2000 6) RooRealVar:: alpha_gen = -0.160338 +/- 0.0662702 7) RooRealVar:: f1_gen = 0.282513 +/- 0.00609008 8) RooRealVar:: f2_gen = 0.166534 +/- 0.00514129 9) RooRealVar:: alphaerr = 0.168209 10) RooRealVar:: alphapull = 0.630952 11) RooRealVar:: f1err = 0.0173596 12) RooRealVar:: f1pull = 0.400169 13) RooRealVar:: f2err = 0.0159777 14) RooRealVar:: f2pull = 0.746133 RooFitResult: minimized FCN value: 9016.9, estimated distance to minimum: 1.63572e-05 covariance matrix quality: Full, accurate covariance matrix Status : MINIMIZE=0 HESSE=0 Floating Parameter InitialValue FinalValue +/- Error GblCorr. -------------------- ------------ -------------------------- -------- alpha 0.0000e+00 -5.4206e-02 +/- 1.68e-01 f1 4.0000e-01 2.8946e-01 +/- 1.74e-02 f2 2.0000e-01 1.7846e-01 +/- 1.60e-02 [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[alphapull]) using numeric integrator RooIntegrator1D to calculate Int(alphapull) [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[alphapull]) using numeric integrator RooIntegrator1D to calculate Int(alphapull) [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[f1pull]) using numeric integrator RooIntegrator1D to calculate Int(f1pull) [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[f1pull]) using numeric integrator RooIntegrator1D to calculate Int(f1pull) [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[f2pull]) using numeric integrator RooIntegrator1D to calculate Int(f2pull) [#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization [#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization [#1] INFO:NumericIntegration -- RooRealIntegral::init(pullGauss_Int[f2pull]) using numeric integrator RooIntegrator1D to calculate Int(f2pull) root [3] .>