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Reference Guide
rf107_plotstyles.C File Reference

Detailed Description

View in nbviewer Open in SWAN Basic functionality: various plotting styles of data, functions in a RooPlot

␛[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:Minization -- RooMinimizer::optimizeConst: activating const optimization
**********
** 1 **SET PRINT 1
**********
**********
** 2 **SET NOGRAD
**********
PARAMETER DEFINITIONS:
NO. NAME VALUE STEP SIZE LIMITS
1 mean -3.00000e+00 2.00000e+00 -1.00000e+01 1.00000e+01
2 sigma 3.00000e+00 9.90000e-01 1.00000e-01 1.00000e+01
**********
** 3 **SET ERR 0.5
**********
**********
** 4 **SET PRINT 1
**********
**********
** 5 **SET STR 1
**********
NOW USING STRATEGY 1: TRY TO BALANCE SPEED AGAINST RELIABILITY
**********
** 6 **MIGRAD 1000 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=244.778 FROM MIGRAD STATUS=INITIATE 6 CALLS 7 TOTAL
EDM= unknown STRATEGY= 1 NO ERROR MATRIX
EXT PARAMETER CURRENT GUESS STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 mean -3.00000e+00 2.00000e+00 2.11716e-01 7.88402e+00
2 sigma 3.00000e+00 9.90000e-01 2.22742e-01 8.68850e+00
ERR DEF= 0.5
MIGRAD MINIMIZATION HAS CONVERGED.
MIGRAD WILL VERIFY CONVERGENCE AND ERROR MATRIX.
COVARIANCE MATRIX CALCULATED SUCCESSFULLY
FCN=244.648 FROM MIGRAD STATUS=CONVERGED 27 CALLS 28 TOTAL
EDM=6.12289e-07 STRATEGY= 1 ERROR MATRIX ACCURATE
EXT PARAMETER STEP FIRST
NO. NAME VALUE ERROR SIZE DERIVATIVE
1 mean -3.06106e+00 3.00167e-01 3.38614e-04 -1.01280e-02
2 sigma 2.89572e+00 2.28664e-01 5.51106e-04 1.31676e-02
ERR DEF= 0.5
EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 2 ERR DEF=0.5
9.013e-02 -8.498e-03
-8.498e-03 5.233e-02
PARAMETER CORRELATION COEFFICIENTS
NO. GLOBAL 1 2
1 0.12374 1.000 -0.124
2 0.12374 -0.124 1.000
**********
** 7 **SET ERR 0.5
**********
**********
** 8 **SET PRINT 1
**********
**********
** 9 **HESSE 1000
**********
COVARIANCE MATRIX CALCULATED SUCCESSFULLY
FCN=244.648 FROM HESSE STATUS=OK 10 CALLS 38 TOTAL
EDM=6.13161e-07 STRATEGY= 1 ERROR MATRIX ACCURATE
EXT PARAMETER INTERNAL INTERNAL
NO. NAME VALUE ERROR STEP SIZE VALUE
1 mean -3.06106e+00 3.00196e-01 6.77227e-05 -3.11100e-01
2 sigma 2.89572e+00 2.28685e-01 1.10221e-04 -4.50268e-01
ERR DEF= 0.5
EXTERNAL ERROR MATRIX. NDIM= 25 NPAR= 2 ERR DEF=0.5
9.015e-02 -8.552e-03
-8.552e-03 5.234e-02
PARAMETER CORRELATION COEFFICIENTS
NO. GLOBAL 1 2
1 0.12449 1.000 -0.124
2 0.12449 -0.124 1.000
[#1] INFO:Minization -- RooMinimizer::optimizeConst: deactivating const optimization
[#1] INFO:Plotting -- RooAbsPdf::plotOn(gauss) only plotting range [-8,3], curve is normalized to data in given given range
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'plotRange' created with bounds [-8,3]
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
using namespace RooFit;
{
// S e t u p m o d e l
// ---------------------
// Create observables
RooRealVar x("x", "x", -10, 10);
// Create Gaussian
RooRealVar sigma("sigma", "sigma", 3, 0.1, 10);
RooRealVar mean("mean", "mean", -3, -10, 10);
RooGaussian gauss("gauss", "gauss", x, mean, sigma);
// Generate a sample of 100 events with sigma=3
RooDataSet *data = gauss.generate(x, 100);
// Fit pdf to data
gauss.fitTo(*data);
// M a k e p l o t f r a m e s
// -------------------------------
// Make four plot frames to demonstrate various plotting features
RooPlot *frame1 = x.frame(Name("xframe"), Title("Red Curve / SumW2 Histo errors"), Bins(20));
RooPlot *frame2 = x.frame(Name("xframe"), Title("Dashed Curve / No XError bars"), Bins(20));
RooPlot *frame3 = x.frame(Name("xframe"), Title("Filled Curve / Blue Histo"), Bins(20));
RooPlot *frame4 = x.frame(Name("xframe"), Title("Partial Range / Filled Bar chart"), Bins(20));
// D a t a p l o t t i n g s t y l e s
// ---------------------------------------
// Use sqrt(sum(weights^2)) error instead of Poisson errors
// Remove horizontal error bars
data->plotOn(frame2, XErrorSize(0));
// Blue markers and error bors
data->plotOn(frame3, MarkerColor(kBlue), LineColor(kBlue));
// Filled bar chart
// F u n c t i o n p l o t t i n g s t y l e s
// -----------------------------------------------
// Change line color to red
gauss.plotOn(frame1, LineColor(kRed));
// Change line style to dashed
gauss.plotOn(frame2, LineStyle(kDashed));
// Filled shapes in green color
gauss.plotOn(frame3, DrawOption("F"), FillColor(kOrange), MoveToBack());
//
gauss.plotOn(frame4, Range(-8, 3), LineColor(kMagenta));
TCanvas *c = new TCanvas("rf107_plotstyles", "rf107_plotstyles", 800, 800);
c->Divide(2, 2);
c->cd(1);
gPad->SetLeftMargin(0.15);
frame1->GetYaxis()->SetTitleOffset(1.6);
frame1->Draw();
c->cd(2);
gPad->SetLeftMargin(0.15);
frame2->GetYaxis()->SetTitleOffset(1.6);
frame2->Draw();
c->cd(3);
gPad->SetLeftMargin(0.15);
frame3->GetYaxis()->SetTitleOffset(1.6);
frame3->Draw();
c->cd(4);
gPad->SetLeftMargin(0.15);
frame4->GetYaxis()->SetTitleOffset(1.6);
frame4->Draw();
}
#define c(i)
Definition: RSha256.hxx:101
@ kGray
Definition: Rtypes.h:63
@ kRed
Definition: Rtypes.h:64
@ kOrange
Definition: Rtypes.h:65
@ kMagenta
Definition: Rtypes.h:64
@ kBlue
Definition: Rtypes.h:64
@ kDashed
Definition: TAttLine.h:48
#define gPad
Definition: TVirtualPad.h:286
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
Calls RooPlot* plotOn(RooPlot* frame, const RooLinkedList& cmdList) const ;.
Definition: RooAbsData.cxx:552
RooDataSet is a container class to hold unbinned data.
Definition: RooDataSet.h:31
Plain Gaussian p.d.f.
Definition: RooGaussian.h:25
A RooPlot is a plot frame and a container for graphics objects within that frame.
Definition: RooPlot.h:41
TAxis * GetYaxis() const
Definition: RooPlot.cxx:1123
virtual void Draw(Option_t *options=0)
Draw this plot and all of the elements it contains.
Definition: RooPlot.cxx:558
RooRealVar represents a fundamental (non-derived) real valued object.
Definition: RooRealVar.h:36
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title Offset is a correction factor with respect to the "s...
Definition: TAttAxis.cxx:294
The Canvas class.
Definition: TCanvas.h:31
const Double_t sigma
Double_t x[n]
Definition: legend1.C:17
Template specialisation used in RooAbsArg:
RooCmdArg MarkerColor(Color_t color)
RooCmdArg DrawOption(const char *opt)
RooCmdArg FillColor(Color_t color)
RooCmdArg MoveToBack()
RooCmdArg DataError(Int_t)
RooCmdArg LineColor(Color_t color)
RooCmdArg XErrorSize(Double_t width)
RooCmdArg Bins(Int_t nbin)
RooCmdArg LineStyle(Style_t style)
static constexpr double gauss
const char * Name
Definition: TXMLSetup.cxx:66
const char * Title
Definition: TXMLSetup.cxx:67
Ta Range(0, 0, 1, 1)
Author
07/2008 - Wouter Verkerke

Definition in file rf107_plotstyles.C.