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rf309_ndimplot.C File Reference

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Multidimensional models: making 2/3 dimensional plots of p.d.f.s and datasets

RooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
[#1] INFO:NumericIntegration -- RooRealIntegral::init(model_Int[x,y]) using numeric integrator RooIntegrator1D to calculate Int(y)
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooConstVar.h"
#include "RooGaussian.h"
#include "RooProdPdf.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "TH1.h"
#include "RooPlot.h"
using namespace RooFit;
{
// C r e a t e 2 D m o d e l a n d d a t a s e t
// -----------------------------------------------------
// Create observables
RooRealVar x("x", "x", -5, 5);
RooRealVar y("y", "y", -5, 5);
// Create parameters
RooRealVar a0("a0", "a0", -3.5, -5, 5);
RooRealVar a1("a1", "a1", -1.5, -1, 1);
RooRealVar sigma("sigma", "width of gaussian", 1.5);
// Create interpreted function f(y) = a0 - a1*sqrt(10*abs(y))
RooFormulaVar fy("fy", "a0-a1*sqrt(10*abs(y))", RooArgSet(y, a0, a1));
// Create gauss(x,f(y),s)
RooGaussian model("model", "Gaussian with shifting mean", x, fy, sigma);
// Sample dataset from gauss(x,y)
RooDataSet *data = model.generate(RooArgSet(x, y), 10000);
// M a k e 2 D p l o t s o f d a t a a n d m o d e l
// -------------------------------------------------------------
// Create and fill ROOT 2D histogram (20x20 bins) with contents of dataset
// TH2D* hh_data = data->createHistogram("hh_data",x,Binning(20),YVar(y,Binning(20))) ;
TH1 *hh_data = data->createHistogram("x,y", 20, 20);
// Create and fill ROOT 2D histogram (50x50 bins) with sampling of pdf
// TH2D* hh_pdf = model.createHistogram("hh_model",x,Binning(50),YVar(y,Binning(50))) ;
TH1 *hh_pdf = model.createHistogram("x,y", 50, 50);
hh_pdf->SetLineColor(kBlue);
// C r e a t e 3 D m o d e l a n d d a t a s e t
// -----------------------------------------------------
// Create observables
RooRealVar z("z", "z", -5, 5);
RooGaussian gz("gz", "gz", z, RooConst(0), RooConst(2));
RooProdPdf model3("model3", "model3", RooArgSet(model, gz));
RooDataSet *data3 = model3.generate(RooArgSet(x, y, z), 10000);
// M a k e 3 D p l o t s o f d a t a a n d m o d e l
// -------------------------------------------------------------
// Create and fill ROOT 2D histogram (8x8x8 bins) with contents of dataset
TH1 *hh_data3 = data3->createHistogram("hh_data3", x, Binning(8), YVar(y, Binning(8)), ZVar(z, Binning(8)));
// Create and fill ROOT 2D histogram (20x20x20 bins) with sampling of pdf
TH1 *hh_pdf3 = model3.createHistogram("hh_model3", x, Binning(20), YVar(y, Binning(20)), ZVar(z, Binning(20)));
hh_pdf3->SetFillColor(kBlue);
TCanvas *c1 = new TCanvas("rf309_2dimplot", "rf309_2dimplot", 800, 800);
c1->Divide(2, 2);
c1->cd(1);
gPad->SetLeftMargin(0.15);
hh_data->GetZaxis()->SetTitleOffset(1.4);
hh_data->Draw("lego");
c1->cd(2);
gPad->SetLeftMargin(0.20);
hh_pdf->GetZaxis()->SetTitleOffset(2.5);
hh_pdf->Draw("surf");
c1->cd(3);
gPad->SetLeftMargin(0.15);
hh_data->GetZaxis()->SetTitleOffset(1.4);
hh_data->Draw("box");
c1->cd(4);
gPad->SetLeftMargin(0.15);
hh_pdf->GetZaxis()->SetTitleOffset(2.5);
hh_pdf->Draw("cont3");
TCanvas *c2 = new TCanvas("rf309_3dimplot", "rf309_3dimplot", 800, 400);
c2->Divide(2);
c2->cd(1);
gPad->SetLeftMargin(0.15);
hh_data3->GetZaxis()->SetTitleOffset(1.4);
hh_data3->Draw("lego");
c2->cd(2);
gPad->SetLeftMargin(0.15);
hh_pdf3->GetZaxis()->SetTitleOffset(1.4);
hh_pdf3->Draw("iso");
}
Date
07/2008
Author
Wouter Verkerke

Definition in file rf309_ndimplot.C.

RooDataSet::createHistogram
TH2F * createHistogram(const RooAbsRealLValue &var1, const RooAbsRealLValue &var2, const char *cuts="", const char *name="hist") const
Create a TH2F histogram of the distribution of the specified variable using this dataset.
Definition: RooDataSet.cxx:1419
RooGaussian.h
x
Double_t x[n]
Definition: legend1.C:17
RooGaussian
Definition: RooGaussian.h:25
rf309_ndimplot
Definition: rf309_ndimplot.py:1
TCanvas.h
RooFit::YVar
RooCmdArg YVar(const RooAbsRealLValue &var, const RooCmdArg &arg=RooCmdArg::none())
Definition: RooGlobalFunc.cxx:240
RooFit::Binning
RooCmdArg Binning(const RooAbsBinning &binning)
Definition: RooGlobalFunc.cxx:82
TH1::GetZaxis
TAxis * GetZaxis()
Definition: TH1.h:319
RooDataSet.h
RooFormulaVar
Definition: RooFormulaVar.h:30
RooProdPdf.h
RooFit
Definition: RooCFunction1Binding.h:29
RooFit::ZVar
RooCmdArg ZVar(const RooAbsRealLValue &var, const RooCmdArg &arg=RooCmdArg::none())
Definition: RooGlobalFunc.cxx:241
RooPlot.h
y
Double_t y[n]
Definition: legend1.C:17
RooRealVar.h
RooConstVar.h
sigma
const Double_t sigma
Definition: h1analysisProxy.h:11
TCanvas
Definition: TCanvas.h:23
TAxis.h
TH1
Definition: TH1.h:57
kBlue
@ kBlue
Definition: Rtypes.h:66
c2
return c2
Definition: legend2.C:14
gPad
#define gPad
Definition: TVirtualPad.h:287
RooDataSet
Definition: RooDataSet.h:33
make_cnn_model.model
model
Definition: make_cnn_model.py:6
TAttAxis::SetTitleOffset
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title.
Definition: TAttAxis.cxx:293
RooRealVar
Definition: RooRealVar.h:35
RooProdPdf
Definition: RooProdPdf.h:33
TH1.h
RooArgSet
Definition: RooArgSet.h:28
TH1::Draw
virtual void Draw(Option_t *option="")
Draw this histogram with options.
Definition: TH1.cxx:2997
c1
return c1
Definition: legend1.C:41
RooFit::RooConst
RooConstVar & RooConst(Double_t val)
Definition: RooGlobalFunc.cxx:341