Processing /mnt/build/workspace/root-makedoc-v614/rootspi/rdoc/src/v6-14-00-patches/tutorials/roofit/rf102_dataimport.C...
[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby[0m
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
[#1] INFO:DataHandling -- RooDataHist::adjustBinning(dh): fit range of variable x expanded to nearest bin boundaries: [-10,10] --> [-10,10]
[#1] INFO:Minization -- RooMinimizer::optimizeConst: activating const optimization
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** 1 **SET PRINT 1
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** 2 **SET NOGRAD
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PARAMETER DEFINITIONS:
NO. NAME VALUE STEP SIZE LIMITS
1 mean 0.00000e+00 2.00000e+00 -1.00000e+01 1.00000e+01
2 sigma 3.00000e+00 9.90000e-01 1.00000e-01 1.00000e+01
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** 3 **SET ERR 0.5
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** 4 **SET PRINT 1
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** 5 **SET STR 1
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NOW USING STRATEGY 1: TRY TO BALANCE SPEED AGAINST RELIABILITY
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** 6 **MIGRAD 1000 1
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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=249.349 FROM MIGRAD STATUS=INITIATE 8 CALLS 9 TOTAL
EDM= unknown STRATEGY= 1 NO ERROR MATRIX
EXT PARAMETER CURRENT GUESS STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 mean 0.00000e+00 2.00000e+00 2.01358e-01 1.15556e+01
2 sigma 3.00000e+00 9.90000e-01 2.22742e-01 5.42294e+00
ERR DEF= 0.5
MIGRAD MINIMIZATION HAS CONVERGED.
MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
COVARIANCE MATRIX CALCULATED SUCCESSFULLY
FCN=249.251 FROM MIGRAD STATUS=CONVERGED 23 CALLS 24 TOTAL
EDM=1.58964e-05 STRATEGY= 1 ERROR MATRIX ACCURATE
EXT PARAMETER STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 mean -1.05079e-01 2.95122e-01 3.29083e-04 -2.34747e-02
2 sigma 2.93926e+00 2.13363e-01 5.44955e-04 -8.23858e-02
ERR DEF= 0.5
EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 2 ERR DEF=0.5
8.712e-02 -9.823e-05
-9.823e-05 4.556e-02
PARAMETER CORRELATION COEFFICIENTS
NO. GLOBAL 1 2
1 0.00156 1.000 -0.002
2 0.00156 -0.002 1.000
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** 7 **SET ERR 0.5
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** 8 **SET PRINT 1
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** 9 **HESSE 1000
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COVARIANCE MATRIX CALCULATED SUCCESSFULLY
FCN=249.251 FROM HESSE STATUS=OK 10 CALLS 34 TOTAL
EDM=1.58906e-05 STRATEGY= 1 ERROR MATRIX ACCURATE
EXT PARAMETER INTERNAL INTERNAL
NO. NAME VALUE ERROR STEP SIZE VALUE
1 mean -1.05079e-01 2.95122e-01 6.58167e-05 -1.05081e-02
2 sigma 2.93926e+00 2.13363e-01 1.08991e-04 -4.40523e-01
ERR DEF= 0.5
EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 2 ERR DEF=0.5
8.712e-02 -1.406e-04
-1.406e-04 4.556e-02
PARAMETER CORRELATION COEFFICIENTS
NO. GLOBAL 1 2
1 0.00223 1.000 -0.002
2 0.00223 -0.002 1.000
[#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization
[#1] INFO:Eval -- RooTreeDataStore::loadValues(ds) Ignored 36 out of range events
RooDataSet::ds[x,y] = 64 entries
TTree* makeTTree() ;
void rf102_dataimport()
{
RooPlot* frame = x.frame(
Title(
"Imported TH1 with Poisson error bars")) ;
dh.plotOn(frame) ;
RooPlot* frame2 = x.frame(
Title(
"Imported TH1 with internal errors")) ;
TTree* tree = makeTTree() ;
ds.Print() ;
RooPlot* frame3 = y.frame(
Title(
"Unbinned data shown in default frame binning")) ;
ds.plotOn(frame3) ;
RooPlot* frame4 = y.frame(
Title(
"Unbinned data shown with custom binning")) ;
TCanvas* c =
new TCanvas(
"rf102_dataimport",
"rf102_dataimport",800,800) ;
}
{
TH1D* hh =
new TH1D(
"hh",
"hh",25,-10,10) ;
for (int i=0 ; i<100 ; i++) {
hh->
Fill(gRandom->Gaus(0,3)) ;
}
return hh ;
}
TTree* makeTTree()
{
TTree* tree = new TTree("tree","tree") ;
tree->Branch("x",px,"x/D") ;
tree->Branch("y",py,"y/D") ;
for (int i=0 ; i<100 ; i++) {
*px = gRandom->Gaus(0,3) ;
*py = gRandom->Uniform()*30 - 15 ;
tree->Fill() ;
}
}