rf506_msgservice.C File Reference

Detailed Description

Organisation and simultaneous fits: tuning and customizing the RooFit message logging facility

 
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooPolynomial.h"
#include "RooAddPdf.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
#include "RooMsgService.h"
 
using namespace RooFit;
 
void rf506_msgservice()
{
   // C r e a t e   p d f
   // --------------------
 
   // Construct gauss(x,m,s)
   RooRealVar x("x", "x", -10, 10);
   RooRealVar m("m", "m", 0, -10, 10);
   RooRealVar s("s", "s", 1, -10, 10);
   RooGaussian gauss("g", "g", x, m, s);
 
   // Construct poly(x,p0)
   RooRealVar p0("p0", "p0", 0.01, 0., 1.);
   RooPolynomial poly("p", "p", x, p0);
 
   // Construct model = f*gauss(x) + (1-f)*poly(x)
   RooRealVar f("f", "f", 0.5, 0., 1.);
   RooAddPdf model("model", "model", RooArgSet(gauss, poly), f);
 
   std::unique_ptr<RooDataSet> data{model.generate(x, 10)};
 
   // P r i n t   c o n f i g u r a t i o n   o f   m e s s a g e   s e r v i c e
   // ---------------------------------------------------------------------------
 
   // Print streams configuration
   RooMsgService::instance().Print();
   cout << endl;
 
   // A d d i n g   I n t e g r a t i o n   t o p i c   t o   e x i s t i n g   I N F O   s t r e a m
   // -----------------------------------------------------------------------------------------------
 
   // Print streams configuration
   RooMsgService::instance().Print();
   cout << endl;
 
   // Add Integration topic to existing INFO stream
   RooMsgService::instance().getStream(1).addTopic(Integration);
 
   // Construct integral over gauss to demonstrate new message stream
   std::unique_ptr<RooAbsReal> igauss{gauss.createIntegral(x)};
   igauss->Print();
 
   // Print streams configuration in verbose, which also shows inactive streams
   cout << endl;
   RooMsgService::instance().Print();
   cout << endl;
 
   // Remove stream
   RooMsgService::instance().getStream(1).removeTopic(Integration);
 
   // E x a m p l e s   o f   p d f   v a l u e   t r a c i n g   s t r e a m
   // -----------------------------------------------------------------------
 
   // Show DEBUG level message on function tracing, trace RooGaussian only
   RooMsgService::instance().addStream(DEBUG, Topic(Tracing), ClassName("RooGaussian"));
 
   // Perform a fit to generate some tracing messages
   model.fitTo(*data, Verbose(true));
 
   // Reset message service to default stream configuration
   RooMsgService::instance().reset();
 
   // Show DEBUG level message on function tracing on all objects, redirect output to file
   RooMsgService::instance().addStream(DEBUG, Topic(Tracing), OutputFile("rf506_debug.log"));
 
   // Perform a fit to generate some tracing messages
   model.fitTo(*data, Verbose(true));
 
   // Reset message service to default stream configuration
   RooMsgService::instance().reset();
 
   // E x a m p l e   o f   a n o t h e r   d e b u g g i n g   s t r e a m
   // ---------------------------------------------------------------------
 
   // Show DEBUG level messages on client/server link state management
   RooMsgService::instance().addStream(DEBUG, Topic(LinkStateMgmt));
   RooMsgService::instance().Print("v");
 
   // Clone composite pdf g to trigger some link state management activity
   RooAbsArg *gprime = gauss.cloneTree();
   gprime->Print();
 
   // Reset message service to default stream configuration
   RooMsgService::instance().reset();
}

 
[#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.
Active Message streams
[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations 
[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration 
[2] MinLevel = INFO Topic = HistFactory 
 
Active Message streams
[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations 
[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration 
[2] MinLevel = INFO Topic = HistFactory 
 
[#1] INFO:Integration -- RooRealIntegral::ctor(g_Int[x]) Constructing integral of function g over observables(x) with normalization () with range identifier <none>
[#1] INFO:Integration -- g: Observable x is suitable for analytical integration (if supported by p.d.f)
[#1] INFO:Integration -- g: Function integrated observables (x) internally with code 1
[#1] INFO:Integration -- g: Observables (x) are analytically integrated with code 1
RooRealIntegral::g_Int[x][ Int gd[Ana](x) ] = 2.50663
 
Active Message streams
[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations 
[1] MinLevel = INFO Topic = Minimization Plotting Fitting Integration Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration 
[2] MinLevel = INFO Topic = HistFactory 
 
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization --  The following expressions will be evaluated in cache-and-track mode: (g,p)
[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for f: using 0.1
[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for m: using 2
[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for p0: using 0.005
[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for s: using 2
Minuit2Minimizer: Minimize with max-calls 2000 convergence for edm < 1 strategy 1
p0=0.01, 
prevFCN = 31.75882326  f=0.501, 
prevFCN = 31.76758673  f=0.499, 
prevFCN = 31.75008506  f=0.5, m=0.02014, 
prevFCN = 31.72980141  m=-0.02014, 
prevFCN = 31.78749743  m=0.004235, 
prevFCN = 31.75274724  m=-0.004235, 
prevFCN = 31.76488389  m=0, p0=0.01005, 
prevFCN = 31.75954549  p0=0.009948, 
prevFCN = 31.75810351  p0=0.01013, 
prevFCN = 31.76062402  p0=0.009872, 
prevFCN = 31.75703788  p0=0.01, s=1.02, 
prevFCN = 31.67915486  s=0.9799, 
prevFCN = 31.84068856  s=1.002, 
prevFCN = 31.75075447  s=0.998, 
prevFCN = 31.76691405  m=0.004235, s=1, 
prevFCN = 31.75274724  m=0.02118, 
prevFCN = 31.72829189  m=0.06353, 
prevFCN = 31.66614321  m=0.1906, 
prevFCN = 31.47244051  m=0.5715, 
prevFCN = 30.87227361  m=1.707, 
prevFCN = 29.88047134  m=2.064, 
prevFCN = 29.97604268  f=0.5008, m=1.707, 
prevFCN = 29.88564172  f=0.4992, 
prevFCN = 29.87531802  f=0.5, m=1.711, 
prevFCN = 29.8803659  m=1.703, 
prevFCN = 29.88060433  m=1.71, 
prevFCN = 29.88039214  m=1.704, 
prevFCN = 29.88056503  m=1.707, p0=0.01013, 
prevFCN = 29.88274199  p0=0.009875, 
prevFCN = 29.87821833  p0=0.01, s=1.002, 
prevFCN = 29.87987611  s=0.9984, 
prevFCN = 29.88107011  s=1.003, 
prevFCN = 29.87926952  s=0.9967, 
prevFCN = 29.88168765  f=0.2774, m=1.724, p0=0.000388, s=1.276, 
prevFCN = 28.97288883  f=0.2912, m=1.723, p0=0.0006269, s=1.257, 
prevFCN = 28.97893369  f=0.278, m=1.724, p0=0.000388, s=1.276, 
prevFCN = 28.97325909  f=0.2768, 
prevFCN = 28.97252778  f=0.2774, m=1.727, 
prevFCN = 28.97321652  m=1.722, 
prevFCN = 28.97256819  m=1.724, p0=0.0004103, 
prevFCN = 28.97321664  p0=0.0003662, 
prevFCN = 28.97257031  p0=0.000388, s=1.279, 
prevFCN = 28.97432524  s=1.273, 
prevFCN = 28.97145596  s=1.282, 
prevFCN = 28.97575564  s=1.269, 
prevFCN = 28.97003607  f=0.2452, m=1.663, p0=5.498e-07, s=0.9876, 
prevFCN = 28.8608997  f=0.2274, m=1.628, p0=0.0001029, s=0.8218, 
prevFCN = 28.87647974  f=0.241, m=1.655, p0=3.204e-06, s=0.9491, 
prevFCN = 28.85685477  f=0.2418, 
prevFCN = 28.85692699  f=0.2403, 
prevFCN = 28.85679737  f=0.241, m=1.659, 
prevFCN = 28.85436009  m=1.651, 
prevFCN = 28.8593705  m=1.655, p0=1.215e-06, 
prevFCN = 28.85682558  p0=6.138e-06, 
prevFCN = 28.85689784  p0=3.204e-06, s=0.9556, 
prevFCN = 28.85804684  s=0.9426, 
prevFCN = 28.85571545  s=0.9524, 
prevFCN = 28.85746237  s=0.9458, 
prevFCN = 28.85626117  f=0.2171, m=1.753, p0=0.0002379, s=0.6877, 
prevFCN = 28.6750677  f=0.1311, m=2.143, p0=0.004887, s=-0.3611, RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (31.8407) to force MIGRAD to back out of this region. Error log follows.
Parameter values:    f=0.131146  m=2.14309   p0=0.00488743  s=-0.361096
RooNLLVar::nll_model_modelData[ parameters=(f,m,p0,s) ]
     function value is NAN @ parameters=(f = 0.131146,m = 2.14309,p0 = 0.00488743,s = -0.361096)
RooAddPdf::model[ f * g + [%] * p ]
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0490189/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0519177/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0505977/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0505745/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0499767/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0488321/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0477145/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0496942/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.048713/20), !coefficients=(f = 0.131146)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-0.905133,p = 0.0504769/20), !coefficients=(f = 0.131146)
RooGaussian::g[ x=x mean=m sigma=s ]
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-4.01476, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=7.84746, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=2.44579, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=2.35102, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-0.0953319, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-4.77917, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-9.35254, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-1.25126, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=-5.2665, mean=m=2.14309, sigma=s=-0.361096
     p.d.f normalization integral is zero or negative: -0.905133 @ x=x=1.9514, mean=m=2.14309, sigma=s=-0.361096
 
 
prevFCN = 122.3539561  f=0.2285, m=1.706, p0=7.868e-05, s=0.8134, 
prevFCN = 28.78647388  f=0.1125, m=2.24, p0=0.006973, s=-0.6231, RooAbsMinimizerFcn: Minimized function has error status.
Returning maximum FCN so far (31.8407) to force MIGRAD to back out of this region. Error log follows.
Parameter values:    f=0.112499  m=2.24008   p0=0.00697315  s=-0.623113
RooNLLVar::nll_model_modelData[ parameters=(f,m,p0,s) ]
     function value is NAN @ parameters=(f = 0.112499,m = 2.24008,p0 = 0.00697315,s = -0.623113)
RooAddPdf::model[ f * g + [%] * p ]
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0486002/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0527361/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0508527/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0508197/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0499668/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0483337/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0467392/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0495637/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0481638/20), !coefficients=(f = 0.112499)
     getLogVal() top-level p.d.f evaluates to NaN @ !refCoefNorm=(), !pdfs=(g = nan/-1.56191,p = 0.0506804/20), !coefficients=(f = 0.112499)
RooGaussian::g[ x=x mean=m sigma=s ]
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-4.01476, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=7.84746, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=2.44579, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=2.35102, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-0.0953319, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-4.77917, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-9.35254, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-1.25126, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=-5.2665, mean=m=2.24008, sigma=s=-0.623113
     p.d.f normalization integral is zero or negative: -1.561912 @ x=x=1.9514, mean=m=2.24008, sigma=s=-0.623113
 
 
prevFCN = 188.0319327  f=0.1613, m=1.997, p0=0.00245, s=0.03234, 
prevFCN = 28.83468497  f=0.1957, m=1.844, p0=0.0007883, s=0.4446, 
prevFCN = 28.29265399  f=0.1624, m=1.992, p0=0.002383, s=0.04546, 
prevFCN = 28.59402561  f=0.1875, m=1.879, p0=0.001091, s=0.3493, 
prevFCN = 28.21262286  f=0.1848, m=1.891, p0=0.001205, s=0.317, 
prevFCN = 28.2291378  f=0.1881, m=1.879, p0=0.001091, s=0.3493, 
prevFCN = 28.2116799  f=0.1869, 
prevFCN = 28.21358342  f=0.1875, m=1.883, 
prevFCN = 28.19355103  m=1.876, 
prevFCN = 28.23178919  m=1.881, 
prevFCN = 28.20535193  m=1.878, 
prevFCN = 28.21990748  m=1.879, p0=0.001046, 
prevFCN = 28.21195078  p0=0.001136, 
prevFCN = 28.21330942  p0=0.001091, s=0.3526, 
prevFCN = 28.20611526  s=0.346, 
prevFCN = 28.21961937  s=0.3499, 
prevFCN = 28.21150023  s=0.3488, 
prevFCN = 28.21375918  f=0.1722, m=1.965, p0=0.001851, s=0.1732, 
prevFCN = 28.74341302  f=0.1862, m=1.887, p0=0.001148, s=0.3343, 
prevFCN = 28.20584218  f=0.1867, 
prevFCN = 28.2049983  f=0.1856, 
prevFCN = 28.20669972  f=0.1862, m=1.888, 
prevFCN = 28.1981678  m=1.885, 
prevFCN = 28.21353035  m=1.887, p0=0.001103, 
prevFCN = 28.205172  p0=0.001193, 
prevFCN = 28.20652605  p0=0.001148, s=0.3349, 
prevFCN = 28.20444386  s=0.3338, 
prevFCN = 28.207256  f=0.1818, m=1.915, p0=0.001339, s=0.308, 
prevFCN = 28.10982092  f=0.1645, m=2.028, p0=0.002253, s=0.2025, 
prevFCN = 27.87419674  f=0.1563, m=2.083, p0=0.00279, s=0.1506, 
prevFCN = 28.120134  f=0.1689, m=1.998, p0=0.001992, s=0.23, 
prevFCN = 27.88982194  f=0.165, m=2.028, p0=0.002253, s=0.2025, 
prevFCN = 27.87267254  f=0.164, 
prevFCN = 27.87573501  f=0.1645, m=2.029, 
prevFCN = 27.86358331  m=2.027, 
prevFCN = 27.8848256  m=2.028, p0=0.002191, 
prevFCN = 27.8732548  p0=0.002317, 
prevFCN = 27.87515272  p0=0.002253, s=0.203, 
prevFCN = 27.86944003  s=0.202, 
prevFCN = 27.87899564  s=0.2028, 
prevFCN = 27.87149737  s=0.2022, 
prevFCN = 27.87690965  f=0.1678, m=2.025, p0=0.002114, s=0.2145, 
prevFCN = 27.78335096  f=0.1813, m=2.015, p0=0.001599, s=0.2625, 
prevFCN = 27.57269414  f=0.1863, m=2.011, p0=0.00143, s=0.2798, 
prevFCN = 27.54157238  f=0.1904, m=2.008, p0=0.001303, s=0.2937, 
prevFCN = 27.52903782  f=0.193, m=2.006, p0=0.001223, s=0.3027, 
prevFCN = 27.52579738  f=0.1935, 
prevFCN = 27.52443883  f=0.1924, 
prevFCN = 27.52717061  f=0.193, m=2.008, 
prevFCN = 27.51931944  m=2.005, 
prevFCN = 27.5322988  m=2.007, 
prevFCN = 27.52090748  m=2.006, 
prevFCN = 27.53070065  m=2.006, p0=0.001178, 
prevFCN = 27.52510166  p0=0.001268, 
prevFCN = 27.52650647  p0=0.001223, s=0.303, 
prevFCN = 27.52565027  s=0.3024, 
prevFCN = 27.52594887  s=0.3032, 
prevFCN = 27.52554315  s=0.3022, 
prevFCN = 27.52606497  f=0.1972, m=2.021, p0=0.001181, s=0.2995, 
prevFCN = 27.43559462  f=0.2143, m=2.078, p0=0.001023, s=0.2869, 
prevFCN = 27.09103886  f=0.2593, m=2.222, p0=0.0006776, s=0.2553, 
prevFCN = 26.4930668  f=0.3114, m=2.377, p0=0.0003819, s=0.2208, 
prevFCN = 26.77366257  f=0.2701, m=2.254, p0=0.0006081, s=0.248, 
prevFCN = 26.44761777  f=0.2707, 
prevFCN = 26.44773291  f=0.2695, 
prevFCN = 26.44751719  f=0.2701, m=2.255, 
prevFCN = 26.44758878  m=2.254, 
prevFCN = 26.44767461  m=2.255, 
prevFCN = 26.44759505  m=2.254, 
prevFCN = 26.44765334  m=2.254, p0=0.0005774, 
prevFCN = 26.4471164  p0=0.0006397, 
prevFCN = 26.44813235  p0=0.0006081, s=0.2485, 
prevFCN = 26.44908167  s=0.2475, 
prevFCN = 26.44616633  f=0.259, m=2.32, p0=9.98e-05, s=0.1948, 
prevFCN = 26.48282841  f=0.2655, m=2.282, p0=0.0003449, s=0.2259, 
prevFCN = 26.40615816  f=0.266, 
prevFCN = 26.40618967  f=0.2649, 
prevFCN = 26.40613942  f=0.2655, m=2.282, 
prevFCN = 26.40679026  m=2.281, 
prevFCN = 26.40554061  m=2.282, p0=0.0003222, 
prevFCN = 26.40578951  p0=0.0003684, 
prevFCN = 26.40653948  p0=0.0003449, s=0.2264, 
prevFCN = 26.4069314  s=0.2254, 
prevFCN = 26.40540512  f=0.2619, m=2.269, p0=1.166e-05, s=0.2128, 
prevFCN = 26.37812649  f=0.2604, m=2.263, p0=9.718e-06, s=0.2071, 
prevFCN = 26.37647825  f=0.2607, m=2.265, p0=2.448e-06, s=0.2085, 
prevFCN = 26.37623563  f=0.2613, 
prevFCN = 26.37614616  f=0.2602, 
prevFCN = 26.37633795  f=0.2607, m=2.265, 
prevFCN = 26.37638096  m=2.264, 
prevFCN = 26.37610505  m=2.265, p0=4.799e-06, 
prevFCN = 26.37627356  p0=8.816e-07, 
prevFCN = 26.37621035  p0=2.448e-06, s=0.2089, 
prevFCN = 26.37617463  s=0.208, 
prevFCN = 26.37631583  f=0.266, m=2.258, p0=2.888e-06, s=0.2111, 
prevFCN = 26.375028  f=0.2652, m=2.259, p0=2.82e-06, s=0.2107, 
prevFCN = 26.37498908  f=0.2657, 
prevFCN = 26.37499406  f=0.2646, 
prevFCN = 26.37499693  f=0.2652, m=2.26, 
prevFCN = 26.3750055  m=2.259, 
prevFCN = 26.37498542  m=2.259, p0=5.333e-06, 
prevFCN = 26.37502968  p0=1.1e-06, 
prevFCN = 26.3749613  p0=2.82e-06, s=0.211, 
prevFCN = 26.37501086  s=0.2104, 
prevFCN = 26.37497968  s=0.2107, 
prevFCN = 26.37498908  f=0.2657, 
prevFCN = 26.37499406  f=0.2646, 
prevFCN = 26.37499693  f=0.2652, m=2.26, 
prevFCN = 26.3750055  m=2.259, 
prevFCN = 26.37498542  m=2.259, p0=5.333e-06, 
prevFCN = 26.37502968  p0=1.1e-06, 
prevFCN = 26.3749613  p0=2.82e-06, s=0.211, 
prevFCN = 26.37501086  s=0.2104, 
prevFCN = 26.37497968  f=0.2653, s=0.2107, 
prevFCN = 26.37498905  f=0.2651, 
prevFCN = 26.37498962  f=0.2652, m=2.259, 
prevFCN = 26.37499134  m=2.259, 
prevFCN = 26.37498732  m=2.259, p0=3.259e-06, 
prevFCN = 26.37499617  p0=2.412e-06, 
prevFCN = 26.3749825  p0=2.82e-06, s=0.2108, 
prevFCN = 26.37499245  s=0.2107, 
prevFCN = 26.37498621  f=0.2657, m=2.26, s=0.2107, 
prevFCN = 26.37501118  m=2.259, p0=5.333e-06, 
prevFCN = 26.37503467  p0=2.82e-06, s=0.211, 
prevFCN = 26.37501545  f=0.2652, m=2.26, p0=5.333e-06, s=0.2107, 
prevFCN = 26.37504611  p0=2.82e-06, s=0.211, 
prevFCN = 26.37502828  m=2.259, p0=5.333e-06, 
prevFCN = 26.37505147  Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 26.374989077648852
Edm   = 5.84995226870742155e-05
Nfcn  = 190
f    = 0.2652   +/-  0.1492   (limited)
m    = 2.259    +/-  0.1408   (limited)
p0   = 2.82e-06    +/-  0.03063  (limited)
s    = 0.2107   +/-  0.09423  (limited)
p0=2.82e-06, s=0.2107, 
prevFCN = 26.37498908  f=0.2653, 
prevFCN = 26.37498905  f=0.2651, 
prevFCN = 26.37498962  f=0.2652, m=2.259, 
prevFCN = 26.37499134  m=2.259, 
prevFCN = 26.37498732  m=2.259, p0=3.259e-06, 
prevFCN = 26.37499617  p0=2.412e-06, 
prevFCN = 26.3749825  p0=2.82e-06, s=0.2108, 
prevFCN = 26.37499245  s=0.2107, 
prevFCN = 26.37498621  f=0.2652, s=0.2107, 
prevFCN = 26.37498903  f=0.2652, 
prevFCN = 26.37498915  f=0.2652, m=2.259, 
prevFCN = 26.37498949  m=2.259, 
prevFCN = 26.37498869  m=2.259, p0=2.905e-06, 
prevFCN = 26.37499046  p0=2.736e-06, 
prevFCN = 26.37498772  p0=2.82e-06, s=0.2107, 
prevFCN = 26.37498971  s=0.2107, 
prevFCN = 26.37498846  f=0.2653, m=2.259, s=0.2107, 
prevFCN = 26.37499134  m=2.259, p0=3.259e-06, 
prevFCN = 26.37499614  p0=2.82e-06, s=0.2108, 
prevFCN = 26.3749924  f=0.2652, m=2.259, p0=3.259e-06, s=0.2107, 
prevFCN = 26.37499844  p0=2.82e-06, s=0.2108, 
prevFCN = 26.37499475  m=2.259, p0=3.259e-06, 
prevFCN = 26.37499954  p0=2.82e-06, s=0.2107, [#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization --  The following expressions will be evaluated in cache-and-track mode: (g,p)
Minuit2Minimizer: Minimize with max-calls 2000 convergence for edm < 1 strategy 1
 
prevFCN = 26.37498908  f=0.2667, 
prevFCN = 26.37503727  f=0.2636, 
prevFCN = 26.37504545  f=0.2657, 
prevFCN = 26.37499405  f=0.2646, 
prevFCN = 26.37499692  f=0.2652, m=2.261, 
prevFCN = 26.37506777  m=2.258, 
prevFCN = 26.37501136  m=2.26, 
prevFCN = 26.37500554  m=2.259, 
prevFCN = 26.37498543  m=2.259, p0=6.522e-06, 
prevFCN = 26.3750489  p0=6.471e-07, 
prevFCN = 26.37495398  p0=5.331e-06, 
prevFCN = 26.37502965  p0=1.101e-06, 
prevFCN = 26.37496132  p0=2.82e-06, s=0.2117, 
prevFCN = 26.37508362  s=0.2098, 
prevFCN = 26.37499532  s=0.2111, 
prevFCN = 26.37501134  s=0.2104, 
prevFCN = 26.37497963  f=0.2652, m=2.259, p0=1.367e-14, s=0.2103, 
prevFCN = 26.37493072  f=0.2658, 
prevFCN = 26.37493708  f=0.2647, 
prevFCN = 26.37493718  f=0.2652, m=2.259, 
prevFCN = 26.37493591  m=2.258, 
prevFCN = 26.3749384  m=2.259, p0=3.967e-07, 
prevFCN = 26.37493713  p0=3.964e-07, 
prevFCN = 26.37493713  p0=1.367e-14, s=0.2106, 
prevFCN = 26.37493624  s=0.21, 
prevFCN = 26.37493815  s=0.2103, 
prevFCN = 26.37493072  f=0.2658, 
prevFCN = 26.37493708  f=0.2647, 
prevFCN = 26.37493718  f=0.2652, m=2.259, 
prevFCN = 26.37493591  m=2.258, 
prevFCN = 26.3749384  m=2.259, p0=3.967e-07, 
prevFCN = 26.37493713  p0=3.964e-07, 
prevFCN = 26.37493713  p0=1.367e-14, s=0.2106, 
prevFCN = 26.37493624  s=0.21, 
prevFCN = 26.37493815  f=0.2654, s=0.2103, 
prevFCN = 26.37493097  f=0.2651, 
prevFCN = 26.37493099  f=0.2652, m=2.259, 
prevFCN = 26.37493073  m=2.259, 
prevFCN = 26.37493123  m=2.259, p0=1.589e-08, 
prevFCN = 26.37493098  p0=1.583e-08, 
prevFCN = 26.37493098  p0=1.367e-14, s=0.2104, 
prevFCN = 26.3749308  s=0.2102, 
prevFCN = 26.37493117  f=0.2658, m=2.259, s=0.2103, 
prevFCN = 26.37494296  m=2.259, p0=3.967e-07, 
prevFCN = 26.37494349  p0=1.367e-14, s=0.2106, 
prevFCN = 26.3749422  f=0.2652, m=2.259, p0=3.967e-07, s=0.2103, 
prevFCN = 26.37494232  p0=1.367e-14, s=0.2106, 
prevFCN = 26.37494248  m=2.259, p0=3.967e-07, 
prevFCN = 26.37494265  Minuit2Minimizer : Valid minimum - status = 0
FVAL  = 26.3749307248998655
Edm   = 8.78576751971056163e-08
Nfcn  = 49
f    = 0.2652   +/-  0.1492   (limited)
m    = 2.259    +/-  0.1406   (limited)
p0   = 1.367e-14   +/-  0.03063  (limited)
s    = 0.2103   +/-  0.09377  (limited)
p0=1.367e-14, s=0.2103, 
prevFCN = 26.37493072  f=0.2654, 
prevFCN = 26.37493097  f=0.2651, 
prevFCN = 26.37493099  f=0.2652, m=2.259, 
prevFCN = 26.37493073  m=2.259, 
prevFCN = 26.37493123  m=2.259, p0=1.589e-08, 
prevFCN = 26.37493098  p0=1.583e-08, 
prevFCN = 26.37493098  p0=1.367e-14, s=0.2104, 
prevFCN = 26.3749308  s=0.2102, 
prevFCN = 26.37493117  f=0.2653, s=0.2103, 
prevFCN = 26.37493073  f=0.2652, 
prevFCN = 26.37493074  f=0.2652, m=2.259, 
prevFCN = 26.37493069  m=2.259, 
prevFCN = 26.37493079  m=2.259, p0=6.404e-10, 
prevFCN = 26.37493074  p0=6.286e-10, 
prevFCN = 26.37493074  p0=1.367e-14, s=0.2103, 
prevFCN = 26.3749307  s=0.2103, 
prevFCN = 26.37493077  f=0.2654, m=2.259, s=0.2103, 
prevFCN = 26.37493101  m=2.259, p0=1.589e-08, 
prevFCN = 26.37493123  p0=1.367e-14, s=0.2104, 
prevFCN = 26.37493103  f=0.2652, m=2.259, p0=1.589e-08, s=0.2103, 
prevFCN = 26.37493099  p0=1.367e-14, s=0.2104, 
prevFCN = 26.37493085  m=2.259, p0=1.589e-08, 
prevFCN = 26.37493105  p0=1.367e-14, s=0.2103, [#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
All Message streams
[0] MinLevel = PROGRESS Topic = Generation Minimization Plotting Fitting Integration LinkStateMgmt Eval Caching Optimization ObjectHandling InputArguments Tracing Contents DataHandling NumericIntegration FastEvaluations 
[1] MinLevel = INFO Topic = Minimization Plotting Fitting Eval Caching ObjectHandling InputArguments DataHandling NumericIntegration 
[2] MinLevel = INFO Topic = HistFactory 
[3] MinLevel = DEBUG Topic = LinkStateMgmt 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server x(0x7fffb6444b90) for value 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server m(0x7fffb6442f78) for value 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server s(0x7fffb6443360) for value 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server x(0x7fffb6444b90) for value 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server m(0x7fffb6442f78) for value 
[#3] DEBUG:LinkStateMgmt -- RooAbsArg::addServer(0x560d30eb20e0,g): adding server s(0x7fffb6443360) for value 
RooGaussian::g[ x=x mean=m sigma=s ] = 8.804e-26

Date

July 2008

Author

Wouter Verkerke

Definition in file rf506_msgservice.C.