Rivet analyses
Inclusive isolated prompt photon analysis with full 2010 LHC data
Experiment: ATLAS (LHC 7TeV)
Inspire ID: 921594
Status: VALIDATED
Authors: - Giovanni Marchiori
References: - Expt page: ATLAS-STDM-2011-04 - arXiv: 1108.0253 - Phys.Lett. B706 (2011) 150-167
Beams: p+ p+
Beam energies: (3500.0, 3500.0)GeV
Run details: - Inclusive photon +X events (primary γ+jet events) at $\sqrt{s} = 7$~TeV.
A measurement of the differential cross-section for the inclusive production of isolated prompt photons in pp collisions at a center-of-mass energy $\sqrt{s} = 7$ TeV is presented. The measurement covers the pseudorapidity ranges |η| < 1.37 and 1.52 < |η| < 2.37 in the transverse energy range 45 < ET < 400 GeV. The results are based on an integrated luminosity of 35 pb−1, collected with the ATLAS detector at the LHC. The yields of the signal photons are measured using a data-driven technique, based on the observed distribution of the hadronic energy in a narrow cone around the photon candidate and the photon selection criteria. The results are compared with next-to-leading order perturbative QCD calculations and found to be in good agreement over four orders of magnitude in cross-section.
Source
code:ATLAS_2011_I921594.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/LeadingParticlesFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// Inclusive isolated prompt photon analysis with full 2010 LHC data
class ATLAS_2011_I921594 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2011_I921594);
/// Book histograms and initialise projections before the run
void init() {
FinalState fs;
declare(fs, "FS");
// Consider the final state jets for the energy density calculation
FastJets fj(fs, JetAlg::KT, 0.5);
fj.useJetArea(new fastjet::AreaDefinition(fastjet::VoronoiAreaSpec()));
declare(fj, "KtJetsD05");
// Consider the leading pt photon with |eta|<2.37 and pT>45 GeV
LeadingParticlesFinalState photonfs(FinalState((Cuts::etaIn(-2.37, 2.37) && Cuts::pT >= 45*GeV)));
photonfs.addParticleId(PID::PHOTON);
declare(photonfs, "LeadingPhoton");
// Book the dsigma/dEt (in eta bins) histograms
size_t d = 1;
for (size_t i = 0; i < _eta_bins.size()-1; ++i) {
if (fuzzyEquals(_eta_bins[i], 1.37)) continue; // skip this bin
book(_h_Et_photon[i], d, 1, 1);
++d;
}
}
/// Return eta bin for either dsigma/dET histogram (area_eta=false) or energy density correction (area_eta=true)
size_t _getEtaBin(double eta, bool area_eta) const {
const double aeta = fabs(eta);
return (!area_eta) ? binIndex(aeta, _eta_bins) : binIndex(aeta, _eta_bins_areaoffset);
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// Retrieve leading photon
const Particles& photons = apply<LeadingParticlesFinalState>(event, "LeadingPhoton").particles();
if (photons.size() != 1) vetoEvent;
const Particle& leadingPhoton = photons[0];
// Veto events with photon in ECAL crack
if (inRange(leadingPhoton.abseta(), 1.37, 1.52)) vetoEvent;
// Compute isolation energy in cone of radius .4 around photon (all particles)
FourMomentum mom_in_EtCone;
Particles fs = apply<FinalState>(event, "FS").particles();
for (const Particle& p : fs) {
// Check if it's outside the cone of 0.4
if (deltaR(leadingPhoton, p) >= 0.4) continue;
// Don't count particles in the 5x7 central core
if (deltaEta(leadingPhoton, p) < .025*5.0*0.5 &&
deltaPhi(leadingPhoton, p) < (PI/128.)*7.0*0.5) continue;
// Increment isolation energy
mom_in_EtCone += p.momentum();
}
// Get the area-filtered jet inputs for computing median energy density, etc.
vector< vector<double> > ptDensities(_eta_bins_areaoffset.size()-1);
FastJets fast_jets = apply<FastJets>(event, "KtJetsD05");
const shared_ptr<fastjet::ClusterSequenceArea> clust_seq_area = fast_jets.clusterSeqArea();
for (const Jet& jet : fast_jets.jets()) {
const double area = clust_seq_area->area(jet); //< Implicit call to .pseudojet()
if (area > 1e-4 && jet.abseta() < _eta_bins_areaoffset.back())
ptDensities.at( _getEtaBin(jet.abseta(), true) ).push_back(jet.pT()/area);
}
// Compute the median energy density, etc.
vector<double> ptDensity;
for (size_t b = 0; b < _eta_bins_areaoffset.size()-1; b++) {
ptDensity += ptDensities[b].empty() ? 0 : median(ptDensities[b]);
}
// Compute the isolation energy correction (cone area*energy density)
const double ETCONE_AREA = M_PI*sqr(0.4) - (7.0*.025)*(5.0*PI/128.);
const double correction = ptDensity[_getEtaBin(leadingPhoton.abseta(), true)] * ETCONE_AREA;
// Apply isolation cut on area-corrected value
if (mom_in_EtCone.Et() - correction > 4*GeV) vetoEvent;
// Fill histograms
const size_t eta_bin = _getEtaBin(leadingPhoton.abseta(), false);
_h_Et_photon[eta_bin]->fill(leadingPhoton.Et());
}
/// Normalise histograms etc., after the run
void finalize() {
for (size_t i = 0; i < _eta_bins.size()-1; i++) {
if (fuzzyEquals(_eta_bins[i], 1.37)) continue;
scale(_h_Et_photon[i], crossSection()/picobarn/sumOfWeights());
}
}
private:
Histo1DPtr _h_Et_photon[5];
const vector<double> _eta_bins = {0.00, 0.60, 1.37, 1.52, 1.81, 2.37};
const vector<double> _eta_bins_areaoffset = {0.0, 1.5, 3.0};
};
RIVET_DECLARE_PLUGIN(ATLAS_2011_I921594);
}