{
"cells": [
{
"cell_type": "markdown",
"id": "48623884",
"metadata": {},
"source": [
"# rf506_msgservice\n",
"Organization and simultaneous fits: tuning and customizing the ROOT.RooFit message logging facility\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Clemens Lange, Wouter Verkerke (C++ version) \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:32 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3f7e3c1d",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:24.456152Z",
"iopub.status.busy": "2026-05-19T20:32:24.456035Z",
"iopub.status.idle": "2026-05-19T20:32:25.448758Z",
"shell.execute_reply": "2026-05-19T20:32:25.448082Z"
}
},
"outputs": [],
"source": [
"import ROOT"
]
},
{
"cell_type": "markdown",
"id": "4bd10a39",
"metadata": {},
"source": [
"Create pdf\n",
"--------------------"
]
},
{
"cell_type": "markdown",
"id": "639345dd",
"metadata": {},
"source": [
"Construct gauss(x,m,s)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "67ccf697",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:25.450918Z",
"iopub.status.busy": "2026-05-19T20:32:25.450784Z",
"iopub.status.idle": "2026-05-19T20:32:25.630010Z",
"shell.execute_reply": "2026-05-19T20:32:25.629448Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[#0] WARNING:InputArguments -- The parameter 's' with range [-10, 10] of the RooGaussian 'g' exceeds the safe range of (0, inf). Advise to limit its range.\n"
]
}
],
"source": [
"x = ROOT.RooRealVar(\"x\", \"x\", -10, 10)\n",
"m = ROOT.RooRealVar(\"m\", \"m\", 0, -10, 10)\n",
"s = ROOT.RooRealVar(\"s\", \"s\", 1, -10, 10)\n",
"gauss = ROOT.RooGaussian(\"g\", \"g\", x, m, s)"
]
},
{
"cell_type": "markdown",
"id": "3914cb8f",
"metadata": {},
"source": [
"Construct poly(x,p0)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "bebb7a5c",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:25.631874Z",
"iopub.status.busy": "2026-05-19T20:32:25.631747Z",
"iopub.status.idle": "2026-05-19T20:32:25.809202Z",
"shell.execute_reply": "2026-05-19T20:32:25.808411Z"
}
},
"outputs": [],
"source": [
"p0 = ROOT.RooRealVar(\"p0\", \"p0\", 0.01, 0.0, 1.0)\n",
"poly = ROOT.RooPolynomial(\"p\", \"p\", x, [p0])"
]
},
{
"cell_type": "markdown",
"id": "f2b504c5",
"metadata": {},
"source": [
"model = f*gauss(x) + (1-f)*poly(x)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bb8f4cb1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:25.810995Z",
"iopub.status.busy": "2026-05-19T20:32:25.810869Z",
"iopub.status.idle": "2026-05-19T20:32:25.961480Z",
"shell.execute_reply": "2026-05-19T20:32:25.960840Z"
}
},
"outputs": [],
"source": [
"f = ROOT.RooRealVar(\"f\", \"f\", 0.5, 0.0, 1.0)\n",
"model = ROOT.RooAddPdf(\"model\", \"model\", [gauss, poly], [f])\n",
"\n",
"data = model.generate({x}, 10)"
]
},
{
"cell_type": "markdown",
"id": "f4f55419",
"metadata": {},
"source": [
"Print configuration of message service\n",
"------------------------------------------"
]
},
{
"cell_type": "markdown",
"id": "473e608c",
"metadata": {},
"source": [
"Print streams configuration"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "eb0169ea",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:25.963494Z",
"iopub.status.busy": "2026-05-19T20:32:25.963364Z",
"iopub.status.idle": "2026-05-19T20:32:26.082456Z",
"shell.execute_reply": "2026-05-19T20:32:26.081693Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Active Message streams\n",
"[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations \n",
"[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration \n",
"[2] MinLevel = INFO Topic = HistFactory \n"
]
}
],
"source": [
"ROOT.RooMsgService.instance().Print()"
]
},
{
"cell_type": "markdown",
"id": "a01f61ac",
"metadata": {},
"source": [
"Adding integration topic to existing INFO stream\n",
"---------------------------------------------------"
]
},
{
"cell_type": "markdown",
"id": "96f1ba66",
"metadata": {},
"source": [
"Print streams configuration"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f6668c6b",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.084465Z",
"iopub.status.busy": "2026-05-19T20:32:26.084335Z",
"iopub.status.idle": "2026-05-19T20:32:26.189047Z",
"shell.execute_reply": "2026-05-19T20:32:26.188352Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Active Message streams\n",
"[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations \n",
"[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration \n",
"[2] MinLevel = INFO Topic = HistFactory \n"
]
}
],
"source": [
"ROOT.RooMsgService.instance().Print()"
]
},
{
"cell_type": "markdown",
"id": "09935e44",
"metadata": {},
"source": [
"Add Integration topic to existing INFO stream"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e4abbdac",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.190903Z",
"iopub.status.busy": "2026-05-19T20:32:26.190778Z",
"iopub.status.idle": "2026-05-19T20:32:26.315707Z",
"shell.execute_reply": "2026-05-19T20:32:26.314977Z"
}
},
"outputs": [],
"source": [
"ROOT.RooMsgService.instance().getStream(1).addTopic(ROOT.RooFit.Integration)"
]
},
{
"cell_type": "markdown",
"id": "2c839478",
"metadata": {},
"source": [
"Construct integral over gauss to demonstrate message stream"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "294b56c4",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.317621Z",
"iopub.status.busy": "2026-05-19T20:32:26.317474Z",
"iopub.status.idle": "2026-05-19T20:32:26.434358Z",
"shell.execute_reply": "2026-05-19T20:32:26.433721Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[#1] INFO:Integration -- RooRealIntegral::ctor(g_Int[x]) Constructing integral of function g over observables(x) with normalization () with range identifier \n",
"[#1] INFO:Integration -- g: Observable x is suitable for analytical integration (if supported by p.d.f)\n",
"[#1] INFO:Integration -- g: Function integrated observables (x) internally with code 1\n",
"[#1] INFO:Integration -- g: Observables (x) are analytically integrated with code 1\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"RooRealIntegral::g_Int[x][ Int gd[Ana](x) ] = 2.50663\n"
]
}
],
"source": [
"igauss = gauss.createIntegral({x})\n",
"igauss.Print()"
]
},
{
"cell_type": "markdown",
"id": "c8d0535a",
"metadata": {},
"source": [
"Print streams configuration in verbose, also shows inactive streams"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "b76db076",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.436121Z",
"iopub.status.busy": "2026-05-19T20:32:26.435995Z",
"iopub.status.idle": "2026-05-19T20:32:26.540744Z",
"shell.execute_reply": "2026-05-19T20:32:26.540022Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Active Message streams\n",
"[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations \n",
"[1] MinLevel = INFO Topic = Minimization Plotting Fitting Integration Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration \n",
"[2] MinLevel = INFO Topic = HistFactory \n"
]
}
],
"source": [
"ROOT.RooMsgService.instance().Print()"
]
},
{
"cell_type": "markdown",
"id": "9ec79319",
"metadata": {},
"source": [
"Remove stream"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "39e90e73",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.542306Z",
"iopub.status.busy": "2026-05-19T20:32:26.542183Z",
"iopub.status.idle": "2026-05-19T20:32:26.649488Z",
"shell.execute_reply": "2026-05-19T20:32:26.648855Z"
}
},
"outputs": [],
"source": [
"ROOT.RooMsgService.instance().getStream(1).removeTopic(ROOT.RooFit.Integration)"
]
},
{
"cell_type": "markdown",
"id": "2f29ae6c",
"metadata": {},
"source": [
"Examples of pdf value tracing\n",
"-----------------------------------------------------------------------"
]
},
{
"cell_type": "markdown",
"id": "2383d93e",
"metadata": {},
"source": [
"Show DEBUG level message on function tracing, ROOT.RooGaussian only"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c55cffbd",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.651474Z",
"iopub.status.busy": "2026-05-19T20:32:26.651347Z",
"iopub.status.idle": "2026-05-19T20:32:26.778314Z",
"shell.execute_reply": "2026-05-19T20:32:26.777593Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ROOT.RooMsgService.instance().addStream(ROOT.RooFit.DEBUG, Topic=ROOT.RooFit.Tracing, ClassName=\"RooGaussian\")"
]
},
{
"cell_type": "markdown",
"id": "14252b16",
"metadata": {},
"source": [
"Perform a fit to generate some tracing messages"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "5f731668",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.780345Z",
"iopub.status.busy": "2026-05-19T20:32:26.780213Z",
"iopub.status.idle": "2026-05-19T20:32:26.979397Z",
"shell.execute_reply": "2026-05-19T20:32:26.978732Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data\n",
"[#1] INFO:Fitting -- using generic CPU library compiled with no vectorizations\n",
"[#1] INFO:Fitting -- Creation of NLL object took 831.193 μs\n",
"[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_modelData) Summation contains a RooNLLVar, using its error level\n",
"[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for f: using 0.1\n",
"[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for m: using 2\n",
"[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for p0: using 0.005\n",
"[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for s: using 2\n",
"[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only\n",
"Minuit2Minimizer: Minimize with max-calls 2000 convergence for edm < 1 strategy 1\n",
"p0=0.01, \n",
"prevFCN = 31.75882326 f=0.501, \n",
"prevFCN = 31.76758673 f=0.499, \n",
"prevFCN = 31.75008506 f=0.5, m=0.02014, \n",
"prevFCN = 31.72980141 m=-0.02014, \n",
"prevFCN = 31.78749743 m=0.004235, \n",
"prevFCN = 31.75274724 m=-0.004235, \n",
"prevFCN = 31.76488389 m=0, p0=0.01005, \n",
"prevFCN = 31.75954549 p0=0.009948, \n",
"prevFCN = 31.75810351 p0=0.01013, \n",
"prevFCN = 31.76062402 p0=0.009872, \n",
"prevFCN = 31.75703788 p0=0.01, s=1.02, \n",
"prevFCN = 31.67915486 s=0.9799, \n",
"prevFCN = 31.84068856 s=1.002, \n",
"prevFCN = 31.75075447 s=0.998, \n",
"prevFCN = 31.76691405 m=0.004235, s=1, \n",
"prevFCN = 31.75274724 m=0.02118, \n",
"prevFCN = 31.72829189 m=0.06353, \n",
"prevFCN = 31.66614321 m=0.1906, \n",
"prevFCN = 31.47244051 m=0.5715, \n",
"prevFCN = 30.87227361 m=1.707, \n",
"prevFCN = 29.88047134 m=2.064, \n",
"prevFCN = 29.97604268 f=0.5008, m=1.707, \n",
"prevFCN = 29.88564172 f=0.4992, \n",
"prevFCN = 29.87531802 f=0.5, m=1.711, \n",
"prevFCN = 29.8803659 m=1.703, \n",
"prevFCN = 29.88060433 m=1.71, \n",
"prevFCN = 29.88039214 m=1.704, \n",
"prevFCN = 29.88056503 m=1.707, p0=0.01013, \n",
"prevFCN = 29.88274199 p0=0.009875, \n",
"prevFCN = 29.87821833 p0=0.01, s=1.002, \n",
"prevFCN = 29.87987611 s=0.9984, \n",
"prevFCN = 29.88107011 s=1.003, \n",
"prevFCN = 29.87926952 s=0.9967, \n",
"prevFCN = 29.88168765 f=0.2774, m=1.724, p0=0.000388, s=1.276, \n",
"prevFCN = 28.97288883 f=0.2912, m=1.723, p0=0.0006269, s=1.257, \n",
"prevFCN = 28.97893369 f=0.278, m=1.724, p0=0.000388, s=1.276, \n",
"prevFCN = 28.97325909 f=0.2768, \n",
"prevFCN = 28.97252778 f=0.2774, m=1.727, \n",
"prevFCN = 28.97321652 m=1.722, \n",
"prevFCN = 28.97256819 m=1.724, p0=0.0004103, \n",
"prevFCN = 28.97321664 p0=0.0003662, \n",
"prevFCN = 28.97257031 p0=0.000388, s=1.279, \n",
"prevFCN = 28.97432524 s=1.273, \n",
"prevFCN = 28.97145596 s=1.282, \n",
"prevFCN = 28.97575564 s=1.269, \n",
"prevFCN = 28.97003607 f=0.2452, m=1.663, p0=5.498e-07, s=0.9876, \n",
"prevFCN = 28.8608997 f=0.2274, m=1.628, p0=0.0001029, s=0.8218, \n",
"prevFCN = 28.87647974 f=0.241, m=1.655, p0=3.204e-06, s=0.9491, \n",
"prevFCN = 28.85685477 f=0.2418, \n",
"prevFCN = 28.85692699 f=0.2403, \n",
"prevFCN = 28.85679737 f=0.241, m=1.659, \n",
"prevFCN = 28.85436009 m=1.651, \n",
"prevFCN = 28.8593705 m=1.655, p0=1.215e-06, \n",
"prevFCN = 28.85682558 p0=6.138e-06, \n",
"prevFCN = 28.85689784 p0=3.204e-06, s=0.9556, \n",
"prevFCN = 28.85804684 s=0.9426, \n",
"prevFCN = 28.85571545 s=0.9524, \n",
"prevFCN = 28.85746237 s=0.9458, \n",
"prevFCN = 28.85626117 f=0.2171, m=1.753, p0=0.0002379, s=0.6877, \n",
"prevFCN = 28.6750677 f=0.1311, m=2.143, p0=0.004887, s=-0.3611, RooAbsMinimizerFcn: Minimized function has error status.\n",
"Returning maximum FCN so far (31.8407) to force MIGRAD to back out of this region. Error log follows.\n",
"Parameter values: \tf=0.131146\tm=2.14309\tp0=0.00488743\ts=-0.361096\n",
"RooFit::Detail::RooNormalizedPdf::g_over_g_Int[x][ numerator=g denominator=g_Int[x] ]\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
" p.d.f normalization integral is zero or negative @ numerator=g=2.2451e-08, denominator=g_Int[x]=-0.905133\n",
"RooAddPdf::model[ f * g_over_g_Int[x] + [%] * p_over_p_Int[x] ]\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.131146)\n",
"\n",
"\n",
"prevFCN = 122.3539561 f=0.2285, m=1.706, p0=7.868e-05, s=0.8134, \n",
"prevFCN = 28.78647388 f=0.1125, m=2.24, p0=0.006973, s=-0.6231, RooAbsMinimizerFcn: Minimized function has error status.\n",
"Returning maximum FCN so far (31.8407) to force MIGRAD to back out of this region. Error log follows.\n",
"Parameter values: \tf=0.112499\tm=2.24008\tp0=0.00697315\ts=-0.623113\n",
"RooFit::Detail::RooNormalizedPdf::g_over_g_Int[x][ numerator=g denominator=g_Int[x] ]\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
" p.d.f normalization integral is zero or negative @ numerator=g=0.00156176, denominator=g_Int[x]=-1.56191\n",
"RooAddPdf::model[ f * g_over_g_Int[x] + [%] * p_over_p_Int[x] ]\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
" getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(x = 0), !pdfs=(g_over_g_Int[x] = nan,p_over_p_Int[x] = 0.05), !coefficients=(f = 0.112499)\n",
"\n",
"\n",
"prevFCN = 188.0319232 f=0.1613, m=1.997, p0=0.00245, s=0.03234, \n",
"prevFCN = 28.83468497 f=0.1957, m=1.844, p0=0.0007883, s=0.4446, \n",
"prevFCN = 28.29265399 f=0.1624, m=1.992, p0=0.002383, s=0.04546, \n",
"prevFCN = 28.59402561 f=0.1875, m=1.879, p0=0.001091, s=0.3493, \n",
"prevFCN = 28.21262286 f=0.1848, m=1.891, p0=0.001205, s=0.317, \n",
"prevFCN = 28.2291378 f=0.1881, m=1.879, p0=0.001091, s=0.3493, \n",
"prevFCN = 28.2116799 f=0.1869, \n",
"prevFCN = 28.21358342 f=0.1875, m=1.883, \n",
"prevFCN = 28.19355103 m=1.876, \n",
"prevFCN = 28.23178919 m=1.881, \n",
"prevFCN = 28.20535193 m=1.878, \n",
"prevFCN = 28.21990748 m=1.879, p0=0.001046, \n",
"prevFCN = 28.21195078 p0=0.001136, \n",
"prevFCN = 28.21330942 p0=0.001091, s=0.3526, \n",
"prevFCN = 28.20611526 s=0.346, \n",
"prevFCN = 28.21961937 s=0.3499, \n",
"prevFCN = 28.21150023 s=0.3488, \n",
"prevFCN = 28.21375918 f=0.1722, m=1.965, p0=0.001851, s=0.1732, \n",
"prevFCN = 28.74341302 f=0.1862, m=1.887, p0=0.001148, s=0.3343, \n",
"prevFCN = 28.20584218 f=0.1867, \n",
"prevFCN = 28.2049983 f=0.1856, \n",
"prevFCN = 28.20669972 f=0.1862, m=1.888, \n",
"prevFCN = 28.1981678 m=1.885, \n",
"prevFCN = 28.21353035 m=1.887, p0=0.001103, \n",
"prevFCN = 28.205172 p0=0.001193, \n",
"prevFCN = 28.20652605 p0=0.001148, s=0.3349, \n",
"prevFCN = 28.20444386 s=0.3338, \n",
"prevFCN = 28.207256 f=0.1818, m=1.915, p0=0.001339, s=0.308, \n",
"prevFCN = 28.10982092 f=0.1645, m=2.028, p0=0.002253, s=0.2025, \n",
"prevFCN = 27.87419674 f=0.1563, m=2.083, p0=0.00279, s=0.1506, \n",
"prevFCN = 28.120134 f=0.1689, m=1.998, p0=0.001992, s=0.23, \n",
"prevFCN = 27.88982194 f=0.165, m=2.028, p0=0.002253, s=0.2025, \n",
"prevFCN = 27.87267254 f=0.164, \n",
"prevFCN = 27.87573501 f=0.1645, m=2.029, \n",
"prevFCN = 27.86358331 m=2.027, \n",
"prevFCN = 27.8848256 m=2.028, p0=0.002191, \n",
"prevFCN = 27.8732548 p0=0.002317, \n",
"prevFCN = 27.87515272 p0=0.002253, s=0.203, \n",
"prevFCN = 27.86944003 s=0.202, \n",
"prevFCN = 27.87899564 s=0.2028, \n",
"prevFCN = 27.87149737 s=0.2022, \n",
"prevFCN = 27.87690965 f=0.1678, m=2.025, p0=0.002114, s=0.2145, \n",
"prevFCN = 27.78335096 f=0.1813, m=2.015, p0=0.001599, s=0.2625, \n",
"prevFCN = 27.57269415 f=0.1863, m=2.011, p0=0.00143, s=0.2798, \n",
"prevFCN = 27.54157239 f=0.1904, m=2.008, p0=0.001303, s=0.2937, \n",
"prevFCN = 27.52903783 f=0.193, m=2.006, p0=0.001223, s=0.3027, \n",
"prevFCN = 27.52579739 f=0.1935, \n",
"prevFCN = 27.52443883 f=0.1924, \n",
"prevFCN = 27.52717062 f=0.193, m=2.008, \n",
"prevFCN = 27.51931944 m=2.005, \n",
"prevFCN = 27.53229881 m=2.007, \n",
"prevFCN = 27.52090749 m=2.006, \n",
"prevFCN = 27.53070065 m=2.006, p0=0.001178, \n",
"prevFCN = 27.52510167 p0=0.001268, \n",
"prevFCN = 27.52650648 p0=0.001223, s=0.303, \n",
"prevFCN = 27.52565028 s=0.3024, \n",
"prevFCN = 27.52594887 s=0.3032, \n",
"prevFCN = 27.52554316 s=0.3022, \n",
"prevFCN = 27.52606498 f=0.1972, m=2.021, p0=0.001181, s=0.2995, \n",
"prevFCN = 27.43559462 f=0.2143, m=2.078, p0=0.001023, s=0.2869, \n",
"prevFCN = 27.09103887 f=0.2593, m=2.222, p0=0.0006776, s=0.2553, \n",
"prevFCN = 26.4930668 f=0.3114, m=2.377, p0=0.0003819, s=0.2208, \n",
"prevFCN = 26.77366262 f=0.2701, m=2.254, p0=0.0006081, s=0.248, \n",
"prevFCN = 26.44761776 f=0.2707, \n",
"prevFCN = 26.4477329 f=0.2695, \n",
"prevFCN = 26.44751719 f=0.2701, m=2.255, \n",
"prevFCN = 26.44758877 m=2.254, \n",
"prevFCN = 26.44767461 m=2.255, \n",
"prevFCN = 26.44759504 m=2.254, \n",
"prevFCN = 26.44765333 m=2.254, p0=0.0005774, \n",
"prevFCN = 26.44711639 p0=0.0006397, \n",
"prevFCN = 26.44813234 p0=0.0006081, s=0.2485, \n",
"prevFCN = 26.44908167 s=0.2475, \n",
"prevFCN = 26.44616632 f=0.259, m=2.32, p0=9.98e-05, s=0.1948, \n",
"prevFCN = 26.48282841 f=0.2655, m=2.282, p0=0.0003449, s=0.2259, \n",
"prevFCN = 26.40615815 f=0.266, \n",
"prevFCN = 26.40618966 f=0.2649, \n",
"prevFCN = 26.40613942 f=0.2655, m=2.282, \n",
"prevFCN = 26.40679026 m=2.281, \n",
"prevFCN = 26.40554061 m=2.282, p0=0.0003222, \n",
"prevFCN = 26.4057895 p0=0.0003684, \n",
"prevFCN = 26.40653948 p0=0.0003449, s=0.2264, \n",
"prevFCN = 26.4069314 s=0.2254, \n",
"prevFCN = 26.40540512 f=0.2619, m=2.269, p0=1.166e-05, s=0.2128, \n",
"prevFCN = 26.37812649 f=0.2604, m=2.263, p0=9.718e-06, s=0.2071, \n",
"prevFCN = 26.37647825 f=0.2607, m=2.265, p0=2.448e-06, s=0.2085, \n",
"prevFCN = 26.37623563 f=0.2613, \n",
"prevFCN = 26.37614616 f=0.2602, \n",
"prevFCN = 26.37633795 f=0.2607, m=2.265, \n",
"prevFCN = 26.37638096 m=2.264, \n",
"prevFCN = 26.37610505 m=2.265, p0=4.799e-06, \n",
"prevFCN = 26.37627356 p0=8.816e-07, \n",
"prevFCN = 26.37621035 p0=2.448e-06, s=0.2089, \n",
"prevFCN = 26.37617463 s=0.208, \n",
"prevFCN = 26.37631583 f=0.266, m=2.258, p0=2.888e-06, s=0.2111, \n",
"prevFCN = 26.375028 f=0.2652, m=2.259, p0=2.82e-06, s=0.2107, \n",
"prevFCN = 26.37498908 f=0.2657, \n",
"prevFCN = 26.37499406 f=0.2646, \n",
"prevFCN = 26.37499693 f=0.2652, m=2.26, \n",
"prevFCN = 26.3750055 m=2.259, \n",
"prevFCN = 26.37498542 m=2.259, p0=5.333e-06, \n",
"prevFCN = 26.37502968 p0=1.1e-06, \n",
"prevFCN = 26.3749613 p0=2.82e-06, s=0.211, \n",
"prevFCN = 26.37501086 s=0.2104, \n",
"prevFCN = 26.37497968 s=0.2107, \n",
"prevFCN = 26.37498908 f=0.2657, \n",
"prevFCN = 26.37499406 f=0.2646, \n",
"prevFCN = 26.37499693 f=0.2652, m=2.26, \n",
"prevFCN = 26.3750055 m=2.259, \n",
"prevFCN = 26.37498542 m=2.259, p0=5.333e-06, \n",
"prevFCN = 26.37502968 p0=1.1e-06, \n",
"prevFCN = 26.3749613 p0=2.82e-06, s=0.211, \n",
"prevFCN = 26.37501086 s=0.2104, \n",
"prevFCN = 26.37497968 f=0.2653, s=0.2107, \n",
"prevFCN = 26.37498905 f=0.2651, \n",
"prevFCN = 26.37498962 f=0.2652, m=2.259, \n",
"prevFCN = 26.37499134 m=2.259, \n",
"prevFCN = 26.37498732 m=2.259, p0=3.259e-06, \n",
"prevFCN = 26.37499617 p0=2.412e-06, \n",
"prevFCN = 26.3749825 p0=2.82e-06, s=0.2108, \n",
"prevFCN = 26.37499245 s=0.2107, \n",
"prevFCN = 26.37498621 f=0.2657, m=2.26, s=0.2107, \n",
"prevFCN = 26.37501118 m=2.259, p0=5.333e-06, \n",
"prevFCN = 26.37503467 p0=2.82e-06, s=0.211, \n",
"prevFCN = 26.37501545 f=0.2652, m=2.26, p0=5.333e-06, s=0.2107, \n",
"prevFCN = 26.37504611 p0=2.82e-06, s=0.211, \n",
"prevFCN = 26.37502828 m=2.259, p0=5.333e-06, \n",
"prevFCN = 26.37505147 Minuit2Minimizer : Valid minimum - status = 0\n",
"FVAL = 26.3749890776351137\n",
"Edm = 5.84995089530609806e-05\n",
"Nfcn = 190\n",
"f\t = 0.2652\t +/- 0.1492\t(limited)\n",
"m\t = 2.259\t +/- 0.1408\t(limited)\n",
"p0\t = 2.82e-06\t +/- 0.03063\t(limited)\n",
"s\t = 0.2107\t +/- 0.09423\t(limited)\n",
"p0=2.82e-06, s=0.2107, \n",
"prevFCN = 26.37498908 f=0.2653, \n",
"prevFCN = 26.37498905 f=0.2651, \n",
"prevFCN = 26.37498962 f=0.2652, m=2.259, \n",
"prevFCN = 26.37499134 m=2.259, \n",
"prevFCN = 26.37498732 m=2.259, p0=3.259e-06, \n",
"prevFCN = 26.37499617 p0=2.412e-06, \n",
"prevFCN = 26.3749825 p0=2.82e-06, s=0.2108, \n",
"prevFCN = 26.37499245 s=0.2107, \n",
"prevFCN = 26.37498621 f=0.2652, s=0.2107, \n",
"prevFCN = 26.37498903 f=0.2652, \n",
"prevFCN = 26.37498915 f=0.2652, m=2.259, \n",
"prevFCN = 26.37498949 m=2.259, \n",
"prevFCN = 26.37498869 m=2.259, p0=2.905e-06, \n",
"prevFCN = 26.37499046 p0=2.736e-06, \n",
"prevFCN = 26.37498772 p0=2.82e-06, s=0.2107, \n",
"prevFCN = 26.37498971 s=0.2107, \n",
"prevFCN = 26.37498846 f=0.2653, m=2.259, s=0.2107, \n",
"prevFCN = 26.37499134 m=2.259, p0=3.259e-06, \n",
"prevFCN = 26.37499614 p0=2.82e-06, s=0.2108, \n",
"prevFCN = 26.3749924 f=0.2652, m=2.259, p0=3.259e-06, s=0.2107, \n",
"prevFCN = 26.37499844 p0=2.82e-06, s=0.2108, \n",
"prevFCN = 26.37499475 m=2.259, p0=3.259e-06, \n",
"prevFCN = 26.37499954 p0=2.82e-06, s=0.2107, "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : MnSeedGenerator Computing seed using NumericalGradient calculator\n",
"Info in : MnSeedGenerator Evaluated function and gradient in 291.651 μs\n",
"Info in : MnSeedGenerator Initial state: FCN = 31.75882326 Edm = 105.7453285 NCalls = 15\n",
"Info in : NegativeG2LineSearch Doing a NegativeG2LineSearch since one of the G2 component is negative\n",
"Info in : NegativeG2LineSearch Done after 242.061 μs\n",
"Info in : MnSeedGenerator Negative G2 found - new state: \n",
" Minimum value : 29.88047134\n",
" Edm : 0.9770510488\n",
" Internal parameters:\t[ 0 0.171531608 -1.370461484 0.1001674212]\t\n",
" Internal gradient :\t[ 3.386411878 -0.2900861807 1.801816673 -3.635226112]\t\n",
" Internal covariance matrix:\n",
"[[ 0.27253744 0 0 0]\n",
" [ 0 0.012260718 0 0]\n",
" [ 0 0 0.17864007 0]\n",
" [ 0 0 0 0.015271346]]]\n",
"Info in : MnSeedGenerator Initial state \n",
" Minimum value : 29.88047134\n",
" Edm : 0.9770510488\n",
" Internal parameters:\t[ 0 0.171531608 -1.370461484 0.1001674212]\t\n",
" Internal gradient :\t[ 3.386411878 -0.2900861807 1.801816673 -3.635226112]\t\n",
" Internal covariance matrix:\n",
"[[ 0.27253744 0 0 0]\n",
" [ 0 0.012260718 0 0]\n",
" [ 0 0 0.17864007 0]\n",
" [ 0 0 0 0.015271346]]]\n",
"Info in : VariableMetricBuilder Start iterating until Edm is < 0.001 with call limit = 2000\n",
"Info in : VariableMetricBuilder 0 - FCN = 29.88047134 Edm = 0.9770510488 NCalls = 34\n",
"Info in : VariableMetricBuilder 1 - FCN = 28.97288883 Edm = 0.08543708166 NCalls = 46\n",
"Info in : VariableMetricBuilder 2 - FCN = 28.85685477 Edm = 0.1244371212 NCalls = 59\n",
"Info in : VariableMetricBuilder 3 - FCN = 28.21262286 Edm = 4.183704166 NCalls = 80\n",
"Info in : VariableMetricBuilder 4 - FCN = 28.20584218 Edm = 0.1212466033 NCalls = 90\n",
"Info in : VariableMetricBuilder 5 - FCN = 27.87419674 Edm = 0.6700901467 NCalls = 104\n",
"Info in : VariableMetricBuilder 6 - FCN = 27.52579739 Edm = 0.4526109095 NCalls = 121\n",
"Info in : VariableMetricBuilder 7 - FCN = 26.44761776 Edm = 0.06161593762 NCalls = 136\n",
"Info in : VariableMetricBuilder 8 - FCN = 26.40615815 Edm = 0.02342269747 NCalls = 146\n",
"Info in : VariableMetricBuilder 9 - FCN = 26.37623563 Edm = 0.001494167444 NCalls = 157\n",
"Info in : VariableMetricBuilder 10 - FCN = 26.37498908 Edm = 4.659572515e-05 NCalls = 167\n",
"Info in : MnHesse Done after 296.841 μs\n",
"Info in : VariableMetricBuilder After Hessian\n",
"Info in : VariableMetricBuilder 11 - FCN = 26.37498908 Edm = 5.849950895e-05 NCalls = 190\n",
"Info in : VariableMetricBuilder Stop iterating after 2.46312 ms\n",
"Info in : Minuit2Minimizer::Hesse Using max-calls 2000\n",
"Info in : MnHesse Done after 262.501 μs\n",
"Info in : Minuit2Minimizer::Hesse Hesse is valid - matrix is accurate\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.fitTo(data, Verbose=True)"
]
},
{
"cell_type": "markdown",
"id": "8ea09d13",
"metadata": {},
"source": [
"Reset message service to default stream configuration"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "cd6c7e70",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:26.981362Z",
"iopub.status.busy": "2026-05-19T20:32:26.981236Z",
"iopub.status.idle": "2026-05-19T20:32:27.088461Z",
"shell.execute_reply": "2026-05-19T20:32:27.087637Z"
}
},
"outputs": [],
"source": [
"ROOT.RooMsgService.instance().reset()"
]
},
{
"cell_type": "markdown",
"id": "3fe665ad",
"metadata": {},
"source": [
"Show DEBUG level message on function tracing on all objects, output to\n",
"file"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "ea797cd7",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.090433Z",
"iopub.status.busy": "2026-05-19T20:32:27.090294Z",
"iopub.status.idle": "2026-05-19T20:32:27.200163Z",
"shell.execute_reply": "2026-05-19T20:32:27.199497Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"3"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ROOT.RooMsgService.instance().addStream(ROOT.RooFit.DEBUG, Topic=ROOT.RooFit.Tracing, OutputFile=\"rf506_debug.log\")"
]
},
{
"cell_type": "markdown",
"id": "619ea16f",
"metadata": {},
"source": [
"Perform a fit to generate some tracing messages"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "80a6757c",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.202205Z",
"iopub.status.busy": "2026-05-19T20:32:27.202077Z",
"iopub.status.idle": "2026-05-19T20:32:27.312756Z",
"shell.execute_reply": "2026-05-19T20:32:27.312181Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data\n",
"[#1] INFO:Fitting -- Creation of NLL object took 208.311 μs\n",
"[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_modelData) Summation contains a RooNLLVar, using its error level\n",
"[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only\n",
"Minuit2Minimizer: Minimize with max-calls 2000 convergence for edm < 1 strategy 1\n",
"\n",
"prevFCN = 26.37498908 f=0.2667, \n",
"prevFCN = 26.37503727 f=0.2636, \n",
"prevFCN = 26.37504545 f=0.2657, \n",
"prevFCN = 26.37499405 f=0.2646, \n",
"prevFCN = 26.37499692 f=0.2652, m=2.261, \n",
"prevFCN = 26.37506777 m=2.258, \n",
"prevFCN = 26.37501136 m=2.26, \n",
"prevFCN = 26.37500554 m=2.259, \n",
"prevFCN = 26.37498543 m=2.259, p0=6.522e-06, \n",
"prevFCN = 26.3750489 p0=6.471e-07, \n",
"prevFCN = 26.37495398 p0=5.331e-06, \n",
"prevFCN = 26.37502965 p0=1.101e-06, \n",
"prevFCN = 26.37496132 p0=2.82e-06, s=0.2117, \n",
"prevFCN = 26.37508362 s=0.2098, \n",
"prevFCN = 26.37499532 s=0.2111, \n",
"prevFCN = 26.37501134 s=0.2104, \n",
"prevFCN = 26.37497963 f=0.2652, m=2.259, p0=1.367e-14, s=0.2103, \n",
"prevFCN = 26.37493072 f=0.2658, \n",
"prevFCN = 26.37493708 f=0.2647, \n",
"prevFCN = 26.37493718 f=0.2652, m=2.259, \n",
"prevFCN = 26.37493591 m=2.258, \n",
"prevFCN = 26.3749384 m=2.259, p0=3.967e-07, \n",
"prevFCN = 26.37493713 p0=3.964e-07, \n",
"prevFCN = 26.37493713 p0=1.367e-14, s=0.2106, \n",
"prevFCN = 26.37493624 s=0.21, \n",
"prevFCN = 26.37493815 s=0.2103, \n",
"prevFCN = 26.37493072 f=0.2658, \n",
"prevFCN = 26.37493708 f=0.2647, \n",
"prevFCN = 26.37493718 f=0.2652, m=2.259, \n",
"prevFCN = 26.37493591 m=2.258, \n",
"prevFCN = 26.3749384 m=2.259, p0=3.967e-07, \n",
"prevFCN = 26.37493713 p0=3.964e-07, \n",
"prevFCN = 26.37493713 p0=1.367e-14, s=0.2106, \n",
"prevFCN = 26.37493624 s=0.21, \n",
"prevFCN = 26.37493815 f=0.2654, s=0.2103, \n",
"prevFCN = 26.37493097 f=0.2651, \n",
"prevFCN = 26.37493099 f=0.2652, m=2.259, \n",
"prevFCN = 26.37493073 m=2.259, \n",
"prevFCN = 26.37493123 m=2.259, p0=1.589e-08, \n",
"prevFCN = 26.37493098 p0=1.583e-08, \n",
"prevFCN = 26.37493098 p0=1.367e-14, s=0.2104, \n",
"prevFCN = 26.3749308 s=0.2102, \n",
"prevFCN = 26.37493117 f=0.2658, m=2.259, s=0.2103, \n",
"prevFCN = 26.37494296 m=2.259, p0=3.967e-07, \n",
"prevFCN = 26.37494349 p0=1.367e-14, s=0.2106, \n",
"prevFCN = 26.3749422 f=0.2652, m=2.259, p0=3.967e-07, s=0.2103, \n",
"prevFCN = 26.37494232 p0=1.367e-14, s=0.2106, \n",
"prevFCN = 26.37494248 m=2.259, p0=3.967e-07, \n",
"prevFCN = 26.37494265 Minuit2Minimizer : Valid minimum - status = 0\n",
"FVAL = 26.3749307248998583\n",
"Edm = 8.78576670714055406e-08\n",
"Nfcn = 49\n",
"f\t = 0.2652\t +/- 0.1492\t(limited)\n",
"m\t = 2.259\t +/- 0.1406\t(limited)\n",
"p0\t = 1.367e-14\t +/- 0.03063\t(limited)\n",
"s\t = 0.2103\t +/- 0.09377\t(limited)\n",
"p0=1.367e-14, s=0.2103, \n",
"prevFCN = 26.37493072 f=0.2654, \n",
"prevFCN = 26.37493097 f=0.2651, \n",
"prevFCN = 26.37493099 f=0.2652, m=2.259, \n",
"prevFCN = 26.37493073 m=2.259, \n",
"prevFCN = 26.37493123 m=2.259, p0=1.589e-08, \n",
"prevFCN = 26.37493098 p0=1.583e-08, \n",
"prevFCN = 26.37493098 p0=1.367e-14, s=0.2104, \n",
"prevFCN = 26.3749308 s=0.2102, \n",
"prevFCN = 26.37493117 f=0.2653, s=0.2103, \n",
"prevFCN = 26.37493073 f=0.2652, \n",
"prevFCN = 26.37493074 f=0.2652, m=2.259, \n",
"prevFCN = 26.37493069 m=2.259, \n",
"prevFCN = 26.37493079 m=2.259, p0=6.404e-10, \n",
"prevFCN = 26.37493074 p0=6.286e-10, \n",
"prevFCN = 26.37493074 p0=1.367e-14, s=0.2103, \n",
"prevFCN = 26.3749307 s=0.2103, \n",
"prevFCN = 26.37493077 f=0.2654, m=2.259, s=0.2103, \n",
"prevFCN = 26.37493101 m=2.259, p0=1.589e-08, \n",
"prevFCN = 26.37493123 p0=1.367e-14, s=0.2104, \n",
"prevFCN = 26.37493103 f=0.2652, m=2.259, p0=1.589e-08, s=0.2103, \n",
"prevFCN = 26.37493099 p0=1.367e-14, s=0.2104, \n",
"prevFCN = 26.37493085 m=2.259, p0=1.589e-08, \n",
"prevFCN = 26.37493105 p0=1.367e-14, s=0.2103, "
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : MnSeedGenerator Computing seed using NumericalGradient calculator\n",
"Info in : MnSeedGenerator Evaluated function and gradient in 388.273 μs\n",
"Info in : MnSeedGenerator Initial state: FCN = 26.37498908 Edm = 5.938244792e-05 NCalls = 17\n",
"Info in : MnSeedGenerator Initial state \n",
" Minimum value : 26.37498908\n",
" Edm : 5.938244792e-05\n",
" Internal parameters:\t[ -0.4888788247 0.2279058433 -1.567438006 0.0210732128]\t\n",
" Internal gradient :\t[ -0.001163072753 0.1952966321 0.02712900138 0.4716314037]\t\n",
" Internal covariance matrix:\n",
"[[ 0.23663072 0 0 0]\n",
" [ 0 0.00041386516 0 0]\n",
" [ 0 0 0.24756437 0]\n",
" [ 0 0 0 0.00017632678]]]\n",
"Info in : VariableMetricBuilder Start iterating until Edm is < 0.001 with call limit = 2000\n",
"Info in : VariableMetricBuilder 0 - FCN = 26.37498908 Edm = 5.938244792e-05 NCalls = 17\n",
"Info in : VariableMetricBuilder 1 - FCN = 26.37493072 Edm = 9.664079956e-08 NCalls = 26\n",
"Info in : MnHesse Done after 478.742 μs\n",
"Info in : VariableMetricBuilder After Hessian\n",
"Info in : VariableMetricBuilder 2 - FCN = 26.37493072 Edm = 8.785766707e-08 NCalls = 49\n",
"Info in : VariableMetricBuilder Stop iterating after 700.113 μs\n",
"Info in : Minuit2Minimizer::Hesse Using max-calls 2000\n",
"Info in : MnHesse Done after 528.643 μs\n",
"Info in : Minuit2Minimizer::Hesse Hesse is valid - matrix is accurate\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model.fitTo(data, Verbose=True)"
]
},
{
"cell_type": "markdown",
"id": "8abf4cb8",
"metadata": {},
"source": [
"Reset message service to default stream configuration"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "1fec4a95",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.314734Z",
"iopub.status.busy": "2026-05-19T20:32:27.314586Z",
"iopub.status.idle": "2026-05-19T20:32:27.417655Z",
"shell.execute_reply": "2026-05-19T20:32:27.417120Z"
}
},
"outputs": [],
"source": [
"ROOT.RooMsgService.instance().reset()"
]
},
{
"cell_type": "markdown",
"id": "dfc2d139",
"metadata": {},
"source": [
"Example of another debugging stream\n",
"---------------------------------------------------------------------"
]
},
{
"cell_type": "markdown",
"id": "0079d2b9",
"metadata": {},
"source": [
"Show DEBUG level messages on client/server link state management"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "160a3435",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.420294Z",
"iopub.status.busy": "2026-05-19T20:32:27.420164Z",
"iopub.status.idle": "2026-05-19T20:32:27.524577Z",
"shell.execute_reply": "2026-05-19T20:32:27.524202Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"All Message streams\n",
"[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations \n",
"[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration \n",
"[2] MinLevel = INFO Topic = HistFactory \n",
"[3] MinLevel = DEBUG Topic = LinkStateMgmt \n"
]
}
],
"source": [
"ROOT.RooMsgService.instance().addStream(ROOT.RooFit.DEBUG, Topic=ROOT.RooFit.LinkStateMgmt)\n",
"ROOT.RooMsgService.instance().Print(\"v\")"
]
},
{
"cell_type": "markdown",
"id": "f31d9412",
"metadata": {},
"source": [
"Clone composite pdf g to trigger some link state management activity"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "41ca4327",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.526879Z",
"iopub.status.busy": "2026-05-19T20:32:27.526742Z",
"iopub.status.idle": "2026-05-19T20:32:27.635925Z",
"shell.execute_reply": "2026-05-19T20:32:27.635445Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server x(0x55b79afd0eb0) for value \n",
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server m(0x55b7a02ce7a0) for value \n",
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server s(0x55b7a02bbcc0) for value \n",
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server x(0x55b79afd0eb0) for value \n",
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server m(0x55b7a02ce7a0) for value \n",
"[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x55b7a10ff550,g): adding server s(0x55b7a02bbcc0) for value \n",
"RooGaussian::g[ x=x mean=m sigma=s ] = 8.804e-26\n"
]
}
],
"source": [
"gprime = gauss.cloneTree()\n",
"gprime.Print()"
]
},
{
"cell_type": "markdown",
"id": "900bba3d",
"metadata": {},
"source": [
"Reset message service to default stream configuration"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "12a4103c",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:32:27.638109Z",
"iopub.status.busy": "2026-05-19T20:32:27.637981Z",
"iopub.status.idle": "2026-05-19T20:32:27.741283Z",
"shell.execute_reply": "2026-05-19T20:32:27.740636Z"
}
},
"outputs": [],
"source": [
"ROOT.RooMsgService.instance().reset()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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