Rivet analyses
Isolated triphotons at 8 TeV
Experiment: ATLAS (LHC)
Inspire ID: 1644367
Status: VALIDATED
Authors: - Josu Cantero Garcia - Christian Gutschow
References: - Expt page: ATLAS-STDM-2016-06 - Phys.Lett. B781 (2018) 55-76 - DOI: 10.1016/j.physletb.2018.03.057 - arXiv: 1712.07291
Beams: p+ p+
Beam energies: (4000.0, 4000.0)GeV
Run details: - inclusive triphoton production
A measurement of the production of three isolated photons in proton-proton collisions at a centre-of-mass energy $\sqrt{s} = 8$ TeV is reported. The results are based on an integrated luminosity of 20.2 fb−1 collected with the ATLAS detector at the LHC. The differential cross sections are measured as functions of the transverse energy of each photon, the difference in azimuthal angle and in pseudorapidity between pairs of photons, the invariant mass of pairs of photons, and the invariant mass of the triphoton system. A measurement of the inclusive fiducial cross section is also reported. Next-to-leading-order perturbative QCD predictions are compared to the cross-section measurements. The predictions underestimate the measurement of the inclusive fiducial cross section and the differential measurements at low photon transverse energies and invariant masses. They provide adequate descriptions of the measurements at high values of the photon transverse energies, invariant mass of pairs of photons, and invariant mass of the triphoton system.
Source
code:ATLAS_2017_I1644367.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/PromptFinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// @brief Isolated triphotons at 8 TeV
class ATLAS_2017_I1644367 : public Analysis {
public:
// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2017_I1644367);
// Book histograms and initialise projections before the run
void init() {
const FinalState fs;
declare(fs, "FS");
FastJets fj(fs, JetAlg::KT, 0.5);
fj.useJetArea(new fastjet::AreaDefinition(fastjet::VoronoiAreaSpec()));
declare(fj, "KtJetsD05");
PromptFinalState photonfs(Cuts::abspid == PID::PHOTON && Cuts::abseta < 2.37 && Cuts::pT > 15*GeV);
declare(photonfs, "Photon");
// Histograms
book(_h["etg1"] , 1, 1, 1);
book(_h["etg2"] , 2, 1, 1);
book(_h["etg3"] , 3, 1, 1);
book(_h["dphig1g2"], 4, 1, 1);
book(_h["dphig1g3"], 5, 1, 1);
book(_h["dphig2g3"], 6, 1, 1);
book(_h["detag1g2"], 7, 1, 1);
book(_h["detag1g3"], 8, 1, 1);
book(_h["detag2g3"], 9, 1, 1);
book(_h["mg1g2"] , 10, 1, 1);
book(_h["mg1g3"] , 11, 1, 1);
book(_h["mg2g3"] , 12, 1, 1);
book(_h["mg1g2g3"] , 13, 1, 1);
}
// Perform the per-event analysis
void analyze(const Event& event) {
// Require at least 2 photons in final state
const Particles photons = apply<PromptFinalState>(event, "Photon").particlesByPt(Cuts::abseta < 1.37 || Cuts::abseta > 1.5);
if (photons.size() < 3) vetoEvent;
// Get jets, and corresponding jet areas
vector<vector<double> > ptDensities(ETA_BINS.size()-1);
FastJets fastjets = apply<FastJets>(event, "KtJetsD05");
const auto clust_seq_area = fastjets.clusterSeqArea();
for (const Jet& jet : fastjets.jets()) {
const double area = clust_seq_area->area(jet);
if (area < 1e-3) continue;
const int ieta = binIndex(jet.abseta(), ETA_BINS);
if (ieta != -1) ptDensities[ieta].push_back(jet.pT()/area);
}
// Compute median jet properties over the jets in the event
vector<double> ptDensity;
for (size_t b = 0; b < ETA_BINS.size()-1; ++b) {
double median = 0.0;
if (ptDensities[b].size() > 0) {
std::sort(ptDensities[b].begin(), ptDensities[b].end());
int nDens = ptDensities[b].size();
median = (nDens % 2 == 0) ? (ptDensities[b][nDens/2]+ptDensities[b][(nDens-2)/2])/2 : ptDensities[b][(nDens-1)/2];
}
ptDensity.push_back(median);
}
// Loop over photons and fill vector of isolated ones
Particles isolated_photons;
for (const Particle& photon : photons) {
if (!photon.isPrompt()) continue;
// Remove photons in ECAL crack region
const double eta_P = photon.eta();
const double phi_P = photon.phi();
// Compute isolation via particles within an R=0.4 cone of the photon
const Particles fs = apply<FinalState>(event, "FS").particles();
FourMomentum mom_in_EtCone;
for (const Particle& p : fs) {
// Reject if not in cone
if (deltaR(photon.momentum(), p.momentum()) > 0.4) continue;
// Reject if in the 5x7 cell central core
if (fabs(eta_P - p.eta()) < 0.025 * 5 * 0.5 && fabs(phi_P - p.phi()) < PI/128. * 7 * 0.5) continue;
// Sum momentum
mom_in_EtCone += p.momentum();
}
// Now figure out the correction (area*density)
const double EtCone_area = M_PI*sqr(0.4) - (7*.025)*(5*M_PI/128.); // cone area - central core rectangle
const double correction = ptDensity[binIndex(fabs(eta_P), ETA_BINS)] * EtCone_area;
// Discard the photon if there is more than 11 GeV of cone activity
// NOTE: Shouldn't need to subtract photon itself (it's in the central core)
if (mom_in_EtCone.Et() - correction > 10*GeV) continue;
// Add isolated photon to list
isolated_photons.push_back(photon);
}///loop over photons
// Require at least two isolated photons
if (isolated_photons.size() < 3) vetoEvent;
// Select leading pT pair
isortByPt(isolated_photons);
const FourMomentum y1 = isolated_photons[0];
const FourMomentum y2 = isolated_photons[1];
const FourMomentum y3 = isolated_photons[2];
// Leading photon should have pT > 40 GeV, subleading > 30 GeV
if (y1.pT() < 27*GeV) vetoEvent;
if (y2.pT() < 22*GeV) vetoEvent;
if (y3.pT() < 15*GeV) vetoEvent;
// Require the two photons to be separated (dR>0.4)
if (deltaR(y1,y2) < 0.45) vetoEvent;
if (deltaR(y1,y3) < 0.45) vetoEvent;
if (deltaR(y2,y3) < 0.45) vetoEvent;
const FourMomentum yyy = y1 + y2 + y3;
const FourMomentum y1y2 = y1 + y2;
const FourMomentum y1y3 = y1 + y3;
const FourMomentum y2y3 = y2 + y3;
const double Myyy = yyy.mass() / GeV;
const double dPhiy1y2 = mapAngle0ToPi(deltaPhi(y1, y2));
const double dPhiy1y3 = mapAngle0ToPi(deltaPhi(y1, y3));
const double dPhiy2y3 = mapAngle0ToPi(deltaPhi(y2, y3));
const double dEtay1y2 = fabs(y1.eta() - y2.eta());
const double dEtay1y3 = fabs(y1.eta() - y3.eta());
const double dEtay2y3 = fabs(y2.eta() - y3.eta());
if(Myyy < 50.) vetoEvent;
// Fill histograms
_h["etg1"]->fill(y1.pT() / GeV);
_h["etg2"]->fill(y2.pT() / GeV);
_h["etg3"]->fill(y3.pT() / GeV);
_h["dphig1g2"]->fill(dPhiy1y2);
_h["dphig1g3"]->fill(dPhiy1y3);
_h["dphig2g3"]->fill(dPhiy2y3);
_h["detag1g2"]->fill(dEtay1y2);
_h["detag1g3"]->fill(dEtay1y3);
_h["detag2g3"]->fill(dEtay2y3);
_h["mg1g2"]->fill(y1y2.mass() / GeV);
_h["mg1g3"]->fill(y1y3.mass() / GeV);
_h["mg2g3"]->fill(y2y3.mass() / GeV);
_h["mg1g2g3"]->fill(Myyy);
}
// Normalise histograms etc., after the run
void finalize() {
const double sf = crossSection() / (femtobarn * sumOfWeights());
for (auto &hist : _h) { scale(hist.second, sf); }
}
private:
map<string, Histo1DPtr> _h;
const vector<double> ETA_BINS = { 0.0, 1.5, 3.0 };
};
RIVET_DECLARE_PLUGIN(ATLAS_2017_I1644367);
}