Dear ROOT experts,
I am trying to fit a distribution using a gaussian to describe the J/Psi resonance and an error function to describe the background.
I noticed that if I use LCG_105, I get a sensible result, while using LCG_107 the fit does not converge. Are there significant differences between the roofit version in the two LCG stack releases that can explain the two behaviors?
I send in attachment the plots showing the results, and the links to the dumps of the LCG_105 and LCG_107 fits. Sorry for copy-pasting here the first lines of the logs, but apparently I cannot put links in the post.
Best,
Nicolò
LCG_105:
Setting up environment
Setup complete
Will run:
run_single_fit ./example/fits_data/muon/generalTracks/JPsi/Run2025/Nominal/NUM_SoftID_DEN_TrackerMuons/NUM_SoftID_DEN_TrackerMuons_PV_1.root ./example/flat/muon/generalTracks/JPsi/Run2025/Run2025/Nominal/NUM_SoftID_DEN_TrackerMuons_PV.root NUM_SoftID_DEN_TrackerMuons_PV_1 ./example/flat/muon/generalTracks/JPsi/Run2025/JPsi_pythia8/Nominal/NUM_SoftID_DEN_TrackerMuons_PV.root Nominal data Nominal JPsi True
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hGenPass
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hGenFail
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hPass
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hFail
[#0] ERROR:Caching -- The internal binning of variable x is not uniform. The numerical FFT will likely yield wrong results.
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'refrange_fft_sigPass' created with bounds [2.7,3.5]
[#0] WARNING:Eval -- The FFT convolution 'sigPass' will run with 20 bins. A decent accuracy for difficult convolutions is typically only reached with n >= 1000. Suggest to increase the number of bins of the observable 'x'.
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(sigPass) creating new cache 0xecd7000 with pdf sigPhysPass_CONV_sigResPass_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:NumericIntegration -- RooRealIntegral::init(bkgPass_Int[x]) using numeric integrator RooRombergIntegrator to calculate Int(x)
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization -- The following expressions have been identified as constant and will be precalculated and cached: (sigPhysPass)
**********
** 1 **SET PRINT 1
**********
**********
** 2 **SET NOGRAD
**********
PARAMETER DEFINITIONS:
NO. NAME VALUE STEP SIZE LIMITS
1 acmsP 2.90000e+00 2.00000e-01 2.00000e+00 4.00000e+00
2 betaP 5.00000e-02 9.90000e-03 1.00000e-03 1.00000e-01
3 gammaP 1.00000e-01 4.00000e+00 -2.00000e+01 2.00000e+01
4 meanP -0.00000e+00 1.00000e+00 -5.00000e+00 5.00000e+00
5 nBkgP 1.98600e+03 9.92750e+02 5.00000e-01 2.18460e+04
6 nSigP 1.93803e+04 1.23285e+03 5.00000e-01 2.18460e+04
7 sigmaP 9.00000e-01 4.47500e-01 5.00000e-03 5.00000e+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 **MINIMIZE 3500 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=-170252 FROM MIGRAD STATUS=INITIATE 152 CALLS 153 TOTAL
EDM= unknown STRATEGY= 1 NO ERROR MATRIX
EXT PARAMETER CURRENT GUESS STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 acmsP 3.99906e+00 2.00000e-01 0.00000e+00 4.29184e-02
2 betaP 9.98574e-02 9.90000e-03 0.00000e+00 -3.80316e-01
3 gammaP 1.00000e-01 4.00000e+00 0.00000e+00 1.52361e+03
4 meanP 0.00000e+00 1.00000e+00 0.00000e+00 -1.08044e+07
5 nBkgP 1.98600e+03 9.92750e+02 0.00000e+00 -4.31787e+03
6 nSigP 1.38921e+04 1.23285e+03 -6.10284e-01 -1.73572e+02
7 sigmaP 5.02489e-03 4.47500e-01 0.00000e+00 -5.69635e+02
ERR DEF= 0.5
MIGRAD FAILS TO FIND IMPROVEMENT
MIGRAD MINIMIZATION HAS CONVERGED.
FCN=-172054 FROM MIGRAD STATUS=CONVERGED 323 CALLS 324 TOTAL
EDM=0.000373228 STRATEGY= 1 ERROR MATRIX UNCERTAINTY 0.2 per cent
EXT PARAMETER STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 acmsP 4.00000e+00 1.23001e+00 -0.00000e+00 1.25207e-05
2 betaP 9.99997e-02 4.86760e-03 0.00000e+00 -6.05775e-04
3 gammaP 1.59499e-01 6.98619e-02 0.00000e+00 3.14645e-01
4 meanP 1.84845e-03 1.53809e-04 0.00000e+00 -8.99264e+01
5 nBkgP 4.29212e+03 9.00131e+01 0.00000e+00 1.03257e-01
6 nSigP 1.31814e+04 2.06597e+02 -0.00000e+00 3.37733e-01
7 sigmaP 5.00437e-03 3.97835e-05 0.00000e+00 -8.81927e+00
ERR DEF= 0.5
EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 7 ERR DEF=0.5
2.600e-06 -5.230e-12 -5.129e-08 -2.477e-10 -1.112e-04 4.373e-04 -5.320e-11
-5.230e-12 5.376e-09 4.550e-08 2.966e-10 1.204e-04 -4.455e-04 5.831e-11
-5.129e-08 4.550e-08 4.881e-03 2.574e-06 1.154e+00 -3.283e+00 5.210e-07
-2.477e-10 2.966e-10 2.574e-06 2.366e-08 6.467e-03 -1.992e-02 3.468e-09
-1.112e-04 1.204e-04 1.154e+00 6.467e-03 8.103e+03 -9.677e+03 1.394e-03
4.373e-04 -4.455e-04 -3.283e+00 -1.992e-02 -9.677e+03 4.269e+04 -5.042e-03
-5.320e-11 5.831e-11 5.210e-07 3.468e-09 1.394e-03 -5.042e-03 6.952e-10
PARAMETER CORRELATION COEFFICIENTS
NO. GLOBAL 1 2 3 4 5 6 7
1 0.00140 1.000 -0.000 -0.000 -0.001 -0.001 0.001 -0.001
2 0.03165 -0.000 1.000 0.009 0.026 0.018 -0.029 0.030
3 0.33338 -0.000 0.009 1.000 0.240 0.184 -0.227 0.283
4 0.96362 -0.001 0.026 0.240 1.000 0.467 -0.627 0.855
5 0.63121 -0.001 0.018 0.184 0.467 1.000 -0.520 0.587
6 0.98091 0.001 -0.029 -0.227 -0.627 -0.520 1.000 -0.926
7 0.99225 -0.001 0.030 0.283 0.855 0.587 -0.926 1.000
LCG_107:
Setting up environment
Setup complete
Will run:
run_single_fit ./example/fits_data/muon/generalTracks/JPsi/Run2025/Nominal/NUM_SoftID_DEN_TrackerMuons/NUM_SoftID_DEN_TrackerMuons_PV_1.root ./example/flat/muon/generalTracks/JPsi/Run2025/Run2025/Nominal/NUM_SoftID_DEN_TrackerMuons_PV.root NUM_SoftID_DEN_TrackerMuons_PV_1 ./example/flat/muon/generalTracks/JPsi/Run2025/JPsi_pythia8/Nominal/NUM_SoftID_DEN_TrackerMuons_PV.root Nominal data Nominal JPsi True
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hGenPass
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hGenFail
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hPass
[#1] INFO:ObjectHandling -- RooWorkspace::import(wmain) importing dataset hFail
[#0] ERROR:Caching -- The internal binning of variable x is not uniform. The numerical FFT will likely yield wrong results.
[#1] INFO:Minimization -- p.d.f. provides expected number of events, including extended term in likelihood.
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'refrange_fft_sigPass' created with bounds [2.7,3.5]
[#0] WARNING:Eval -- The FFT convolution 'sigPass' will run with 20 bins. A decent accuracy for difficult convolutions is typically only reached with n >= 1000. Suggest to increase the number of bins of the observable 'x'.
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(sigPass) creating new cache 0xec2af20 with pdf sigPhysPass_CONV_sigResPass_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Fitting -- RooAbsPdf::fitTo(pdfPass) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx2
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_pdfPass_hPass) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
**********
** 1 **SET PRINT 1
**********
**********
** 2 **SET NOGRAD
**********
PARAMETER DEFINITIONS:
NO. NAME VALUE STEP SIZE LIMITS
1 acmsP 2.90000e+00 2.00000e-01 2.00000e+00 4.00000e+00
2 betaP 5.00000e-02 9.90000e-03 1.00000e-03 1.00000e-01
3 gammaP 1.00000e-01 4.00000e+00 -2.00000e+01 2.00000e+01
4 meanP -0.00000e+00 1.00000e+00 -5.00000e+00 5.00000e+00
5 nBkgP 1.98600e+03 9.92750e+02 5.00000e-01 2.18460e+04
6 nSigP 1.93803e+04 1.23285e+03 5.00000e-01 2.18460e+04
7 sigmaP 9.00000e-01 4.47500e-01 5.00000e-03 5.00000e+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 **MINIMIZE 3500 1
**********
FIRST CALL TO USER FUNCTION AT NEW START POINT, WITH IFLAG=4.
[#1] INFO:NumericIntegration -- RooRealIntegral::init(bkgPass_Int[x]) using numeric integrator RooIntegrator1D to calculate Int(x)
[#0] WARNING:Eval -- The FFT convolution 'sigPass' will run with 20 bins. A decent accuracy for difficult convolutions is typically only reached with n >= 1000. Suggest to increase the number of bins of the observable 'x'.
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(sigPass) creating new cache 0xedb63b0 with pdf sigPhysPass_CONV_sigResPass_CACHE_Obs[x] for nset () with code 1 from preexisting content.
START MIGRAD MINIMIZATION. STRATEGY 1. CONVERGENCE WHEN EDM .LT. 1.00e-03
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=-0.00831991 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAbsPdf::sigPass_over_sigPass_Int[x][ numerator=sigPass denominator=sigPass_Int[x] ]
p.d.f value is less than zero, trying to recover @ numerator=sigPass=17458.1, denominator=sigPass_Int[x]=2927.24
p.d.f value is less than zero, trying to recover @ numerator=sigPass=17458.1, denominator=sigPass_Int[x]=2927.24
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 5.96401,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 5.96401,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=0.000831991 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAbsPdf::sigPass_over_sigPass_Int[x][ numerator=sigPass denominator=sigPass_Int[x] ]
p.d.f value is less than zero, trying to recover @ numerator=sigPass=372.723, denominator=sigPass_Int[x]=38.3079
p.d.f value is less than zero, trying to recover @ numerator=sigPass=372.723, denominator=sigPass_Int[x]=38.3079
p.d.f value is less than zero, trying to recover @ numerator=sigPass=372.723, denominator=sigPass_Int[x]=38.3079
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 9.72967,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 9.72967,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 9.72967,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=-0.000831991 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 6.9725,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=8.31991e-05 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.5085,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=-8.31991e-05 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.19444,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=0 nBkgP=1986 nSigP=19380.3 sigmaP=0.00500226
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=0 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502153
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=2.9 betaP=0.00100888 gammaP=0.1 meanP=0 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502524
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.00100888 gammaP=0.1 meanP=-8.31991e-06 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.33575,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.00100888 gammaP=0.1 meanP=-6.04829e-06 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.34004,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.00100888 gammaP=0.1 meanP=0 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502485
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.00100888 gammaP=0.1 meanP=0 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502492
RooAbsPdf::sigPass_over_sigPass_Int[x][ numerator=sigPass denominator=sigPass_Int[x] ]
p.d.f value is less than zero, trying to recover @ numerator=sigPass=264.695, denominator=sigPass_Int[x]=31.6944
p.d.f value is less than zero, trying to recover @ numerator=sigPass=264.695, denominator=sigPass_Int[x]=31.6944
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35148,bkgPass_over_bkgPass_Int[x] = 1.24967), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.0998574 gammaP=0.1 meanP=-6.04829e-07 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35033,bkgPass_over_bkgPass_Int[x] = 1.25042), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.0998574 gammaP=0.1 meanP=-6.04829e-08 nBkgP=1986 nSigP=19380.3 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35136,bkgPass_over_bkgPass_Int[x] = 1.25042), !coefficients=(nSigP = 19380.3,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.0998574 gammaP=0.1 meanP=-6.04829e-08 nBkgP=1986 nSigP=13892.1 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35136,bkgPass_over_bkgPass_Int[x] = 1.25042), !coefficients=(nSigP = 13892.1,nBkgP = 1986)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99906 betaP=0.0998574 gammaP=0.1 meanP=-6.04829e-08 nBkgP=1986 nSigP=13892.1 sigmaP=0.00502489
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35136,bkgPass_over_bkgPass_Int[x] = 1.25042), !coefficients=(nSigP = 13892.1,nBkgP = 1986)
FCN=-170252 FROM MIGRAD STATUS=INITIATE 156 CALLS 157 TOTAL
EDM= unknown STRATEGY= 1 NO ERROR MATRIX
EXT PARAMETER CURRENT GUESS STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 acmsP 3.99906e+00 2.00000e-01 0.00000e+00 4.29182e-02
2 betaP 9.98574e-02 9.90000e-03 0.00000e+00 -3.80316e-01
3 gammaP 1.00000e-01 4.00000e+00 0.00000e+00 1.52361e+03
4 meanP 0.00000e+00 1.00000e+00 0.00000e+00 -5.46274e+11
5 nBkgP 1.98600e+03 9.92750e+02 0.00000e+00 -4.31787e+03
6 nSigP 1.38921e+04 1.23285e+03 -6.10284e-01 -1.73572e+02
7 sigmaP 5.02489e-03 4.47500e-01 0.00000e+00 3.46777e-05
ERR DEF= 0.5
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=4 betaP=0.1 gammaP=-0.394922 meanP=3.0242e-08 nBkgP=3801.06 nSigP=14132.5 sigmaP=0.0050251
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35153,bkgPass_over_bkgPass_Int[x] = 1.24149), !coefficients=(nSigP = 14132.5,nBkgP = 3801.06)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99928 betaP=0.0998909 gammaP=0.0380115 meanP=-2.26068e-09 nBkgP=2185.34 nSigP=13922.2 sigmaP=0.00502491
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35147,bkgPass_over_bkgPass_Int[x] = 1.25019), !coefficients=(nSigP = 13922.2,nBkgP = 2185.34)
RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (-157036) to force MIGRAD to back out of this region. Error log follows.
Parameter values: acmsP=3.99928 betaP=0.0998909 gammaP=0.0380115 meanP=-2.26068e-09 nBkgP=2185.34 nSigP=13922.2 sigmaP=0.00502491
RooAddPdf::pdfPass[ nSigP * sigPass_over_sigPass_Int[x] + nBkgP * bkgPass_over_bkgPass_Int[x] ]
getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 3.1), !pdfs=(sigPass_over_sigPass_Int[x] = 8.35147,bkgPass_over_bkgPass_Int[x] = 1.25019), !coefficients=(nSigP = 13922.2,nBkgP = 2185.34)
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