Rivet analyses
Photon + jets
Experiment: ATLAS (LHC)
Inspire ID: 1244522
Status: VALIDATED
Authors: - Josu Cantero
References: - Expt page: ATLAS-STDM-2012-18 - Nucl.Phys. B875 (2013) 483-535 - DOI: 10.1016/j.nuclphysb.2013.07.025 - arXiv: 1307.6795
Beams: p+ p+
Beam energies: (3500.0, 3500.0)GeV
Run details: - p + p -> gamma + jet + X
Measurements of isolated photon plus jet production in pp collisions at a centre-of-mass energy of 7~TeV with the ATLAS detector at the LHC using an integrated luminosity of 37 pb−1. Differential cross sections are presented as functions of photon transverse energy, jet transverse momentum and jet rapidity. In addition, the differential cross sections as functions of the difference between the azimuthal angles of the photon and the jet, the photon-jet invariant mass as well as the scattering angle in the photon-jet centre-of-mass frame have been measured.
Source
code:ATLAS_2013_I1244522.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/LeadingParticlesFinalState.hh"
#include "Rivet/Projections/VetoedFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// @brief Measurement of isolated gamma + jet + X differential cross-sections
class ATLAS_2013_I1244522 : public Analysis {
public:
// Constructor
ATLAS_2013_I1244522()
: Analysis("ATLAS_2013_I1244522")
{ }
// Book histograms and initialise projections before the run
void init() {
FinalState fs;
// Voronoi eta-phi tassellation with KT jets, for ambient energy density calculation
FastJets fj(fs, JetAlg::KT, 0.5);
fj.useJetArea(new fastjet::AreaDefinition(fastjet::VoronoiAreaSpec()));
declare(fj, "KtJetsD05");
// Leading photon
LeadingParticlesFinalState photonfs(PromptFinalState(FinalState((Cuts::etaIn(-2.37, 2.37) && Cuts::pT >= 45.0*GeV))));
photonfs.addParticleId(PID::PHOTON);
declare(photonfs, "LeadingPhoton");
// FS excluding the leading photon
VetoedFinalState vfs(fs);
vfs.addVetoOnThisFinalState(photonfs);
declare(vfs, "JetFS");
// Jets
FastJets jetpro(vfs, JetAlg::ANTIKT, 0.6);
jetpro.useInvisibles();
declare(jetpro, "Jets");
// Histograms
book(_h_ph_pt ,1, 1, 1);
book(_h_jet_pt ,2, 1, 1);
book(_h_jet_rap ,3, 1, 1);
book(_h_dphi_phjet ,4, 1, 1);
book(_h_costheta_biased_phjet ,5, 1, 1);
book(_h_mass_phjet ,6, 1, 1);
book(_h_costheta_phjet ,7, 1, 1);
}
size_t getEtaBin(double eta) const {
const double aeta = fabs(eta);
return binIndex(aeta, _eta_bins_areaoffset);
}
// Perform the per-event analysis
void analyze(const Event& event) {
// Get the photon
Particles photons = apply<LeadingParticlesFinalState>(event, "LeadingPhoton").particles();
if (photons.size() != 1 ) vetoEvent;
const Particle& photon = photons[0];
if (inRange(photon.abseta(), 1.37, 1.52)) vetoEvent;
//Compute isolation energy in cone of radius .4 around photon (all particles)
FourMomentum mom_in_EtCone;
const Particles& fs = apply<VetoedFinalState>(event, "JetFS").particles();
for (const Particle& p : fs) {
// Check if it's outside the cone of 0.4
if (deltaR(photon, p) >= 0.4) continue;
// Increment isolation energy
mom_in_EtCone += p.momentum();
}
// Get the jets
Jets alljets = apply<FastJets>(event, "Jets").jetsByPt(Cuts::pT > 40*GeV);
Jets jets;
for (const Jet& jet : alljets)
if (deltaR(photon, jet) > 1.0) jets += jet;
if (jets.empty()) vetoEvent;
Jet leadingJet = jets[0];
if (leadingJet.absrap() > 2.37) vetoEvent;
// Get the area-filtered jet inputs for computing median energy density, etc.
vector<double> ptDensity;
vector< vector<double> > ptDensities(_eta_bins_areaoffset.size()-1);
FastJets fast_jets = apply<FastJets>(event, "KtJetsD05");
const auto clust_seq_area = fast_jets.clusterSeqArea();
for (const Jet& jet : fast_jets.jets()) {
const double area = clust_seq_area->area(jet);
if (area > 1e-4 && jet.abseta() < _eta_bins_areaoffset.back())
ptDensities.at( getEtaBin(jet.abseta()) ).push_back(jet.pT()/area);
}
// Compute the median energy density, etc.
for (size_t b = 0; b < _eta_bins_areaoffset.size() - 1; ++b) {
const int njets = ptDensities[b].size();
ptDensity += (njets > 0) ? median(ptDensities[b]) : 0;
}
// Compute the isolation energy correction (cone area*energy density)
const double etCone_area = PI*sqr(0.4) - (5.0*.025)*(7.0*PI/128.);
const double correction = ptDensity[getEtaBin(photon.abseta())] * etCone_area;
// Apply isolation cut on area-corrected value
if (mom_in_EtCone.Et() - correction >= 4*GeV) vetoEvent;
// Fill histos
const double dy = deltaRap(photon, leadingJet);
const double costheta_yj = tanh(dy/2);
_h_ph_pt->fill(photon.pT()/GeV);
_h_jet_pt->fill(leadingJet.pT()/GeV);
_h_jet_rap->fill(leadingJet.absrap());
_h_dphi_phjet->fill(deltaPhi(photon, leadingJet));
_h_costheta_biased_phjet->fill(costheta_yj);
if (costheta_yj < 0.829022) {
const FourMomentum yj = photon.momentum() + leadingJet.momentum();
if (yj.mass() > 160.939*GeV) {
if (fabs(photon.eta() + leadingJet.rap()) < 2.37) {
_h_mass_phjet->fill(yj.mass()/GeV);
_h_costheta_phjet->fill(costheta_yj);
}
}
}
}
/// Normalise histograms etc., after the run
void finalize() {
const double sf = crossSection() / picobarn / sumOfWeights();
scale(_h_ph_pt, sf);
scale(_h_jet_pt, sf);
scale(_h_jet_rap, sf);
scale(_h_dphi_phjet, sf);
scale(_h_costheta_biased_phjet, sf);
scale(_h_mass_phjet, sf);
scale(_h_costheta_phjet, sf);
}
private:
Histo1DPtr _h_ph_pt, _h_jet_pt, _h_jet_rap, _h_dphi_phjet, _h_costheta_biased_phjet, _h_mass_phjet, _h_costheta_phjet;
const vector<double> _eta_bins_areaoffset = {0.0, 1.5, 3.0};
};
RIVET_DECLARE_PLUGIN(ATLAS_2013_I1244522);
}