Rivet analyses
Inclusive diphoton cross-sections at 8 TeV
Experiment: ATLAS (LHC)
Inspire ID: 1591327
Status: VALIDATED
Authors: - Frank Siegert
References: - Expt page: ATLAS-STDM-2015-15 - arXiv: 1704.03839 - submitted to PRD
Beams: p+ p+
Beam energies: (4000.0, 4000.0)GeV
Run details: - pp → γγ at 8 TeV
A measurement of the production cross section for two isolated photons in proton–proton collisions at a center-of-mass energy of $\sqrt{s}=8$ TeV is presented. The results are based on an integrated luminosity of 20.2 fb−1 recorded by the ATLAS detector at the Large Hadron Collider. The measurement considers photons with pseudorapidities satisfying |ηγ| < 1.37 or 1.56 < |ηγ| < 2.37 and transverse energies of respectively ET,1γ > 40 GeV and ET,2γ > 30 GeV for the two leading photons ordered in transverse energy produced in the interaction. The background due to hadronic jets and electrons is subtracted using data-driven techniques. The fiducial cross sections are corrected for detector effects and measured differentially as a function of six kinematic observables. The measured cross section integrated within the fiducial volume is 16.8 ± 0.8 pb. The data are compared to fixed-order QCD calculations at next-to-leading-order and next-to-next-to-leading-order accuracy as well as next-to-leading-order computations including resummation of initial-state gluon radiation at next-to-next-to-leading logarithm or matched to a parton shower, with relative uncertainties varying from 5% to 20%.
Source
code:ATLAS_2017_I1591327.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FastJets.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/IdentifiedFinalState.hh"
namespace Rivet {
/// Isolated diphoton + X differential cross-sections
class ATLAS_2017_I1591327 : public Analysis {
public:
// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(ATLAS_2017_I1591327);
// Book histograms and initialise projections before the run
void init() {
const FinalState fs;
declare(fs, "FS");
FastJets fj(fs, JetAlg::KT, 0.5);
_area_def = new fastjet::AreaDefinition(fastjet::VoronoiAreaSpec());
fj.useJetArea(_area_def);
declare(fj, "KtJetsD05");
IdentifiedFinalState photonfs(Cuts::abseta < 2.37 && Cuts::pT > 30 * GeV);
photonfs.acceptId(PID::PHOTON);
declare(photonfs, "Photon");
// Histograms
book(_h_M, 2, 1, 1);
book(_h_pT, 3, 1, 1);
book(_h_at, 4, 1, 1);
book(_h_phistar, 5, 1, 1);
book(_h_costh, 6, 1, 1);
book(_h_dPhi, 7, 1, 1);
}
// Perform the per-event analysis
void analyze(const Event& event) {
// Require at least 2 photons in final state
const Particles photons = apply<IdentifiedFinalState>(event, "Photon").particlesByPt();
if (photons.size() < 2) vetoEvent;
// Compute the median energy density
_ptDensity.clear();
_sigma.clear();
_Njets.clear();
vector<vector<double>> ptDensities;
vector<double> emptyVec;
ptDensities.assign(ETA_BINS.size() - 1, emptyVec);
// Get jets, and corresponding jet areas
const shared_ptr<fastjet::ClusterSequenceArea> clust_seq_area = apply<FastJets>(event, "KtJetsD05")
.clusterSeqArea();
for (const fastjet::PseudoJet& jet : apply<FastJets>(event, "KtJetsD05").pseudojets(0.0 * GeV)) {
const double aeta = fabs(jet.eta());
const double pt = jet.perp();
const double area = clust_seq_area->area(jet);
if (area < 1e-3) continue;
const int ieta = binIndex(aeta, ETA_BINS);
if (ieta != -1) ptDensities[ieta].push_back(pt / area);
}
// Compute median jet properties over the jets in the event
for (size_t b = 0; b < ETA_BINS.size() - 1; ++b) {
double median = 0.0, sigma = 0.0;
int Njets = 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];
sigma = ptDensities[b][(int)(.15865 * nDens)];
Njets = nDens;
}
_ptDensity.push_back(median);
_sigma.push_back(sigma);
_Njets.push_back(Njets);
}
// Loop over photons and fill vector of isolated ones
Particles isolated_photons;
for (const Particle& photon : photons) {
// Check if it's a prompt photon (needed for SHERPA 2->5 sample, otherwise I also get photons from hadron decays in jets)
if (!photon.isPrompt()) continue;
// Remove photons in ECAL crack region
if (inRange(photon.abseta(), 1.37, 1.56)) continue;
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 > 11 * GeV) continue;
// Add isolated photon to list
isolated_photons.push_back(photon);
}
// Require at least two isolated photons
if (isolated_photons.size() < 2) vetoEvent;
// Select leading pT pair
isortByPt(isolated_photons);
const FourMomentum y1 = isolated_photons[0];
const FourMomentum y2 = isolated_photons[1];
// Leading photon should have pT > 40 GeV, subleading > 30 GeV
if (y1.pT() < 40. * GeV) vetoEvent;
if (y2.pT() < 30. * GeV) vetoEvent;
// Require the two photons to be separated (dR>0.4)
if (deltaR(y1, y2) < 0.4) vetoEvent;
const FourMomentum yy = y1 + y2;
const double Myy = yy.mass();
const double pTyy = yy.pT();
const double dPhiyy = mapAngle0ToPi(y1.phi() - y2.phi());
// phi*
const double costhetastar_ = fabs(tanh((y1.eta() - y2.eta()) / 2.));
const double sinthetastar_ = sqrt(1. - pow(costhetastar_, 2));
const double phistar = tan(0.5 * (PI - dPhiyy)) * sinthetastar_;
// a_t
const Vector3 t_hat(y1.x() - y2.x(), y1.y() - y2.y(), 0.);
const double factor = t_hat.mod();
const Vector3 t_hatx(t_hat.x() / factor, t_hat.y() / factor, t_hat.z() / factor);
const Vector3 At(y1.x() + y2.x(), y1.y() + y2.y(), 0.);
// Compute a_t transverse component with respect to t_hat
const double at = At.cross(t_hatx).mod();
// Fill histograms
_h_M->fill(Myy);
_h_pT->fill(pTyy);
_h_dPhi->fill(dPhiyy);
_h_costh->fill(costhetastar_);
_h_phistar->fill(phistar);
_h_at->fill(at);
}
// Normalise histograms etc., after the run
void finalize() {
const double sf = crossSection() / femtobarn / sumOfWeights();
scale(_h_M, sf);
scale(_h_pT, sf);
scale(_h_dPhi, sf);
scale(_h_costh, sf);
scale(_h_phistar, sf);
scale(_h_at, sf);
}
private:
Histo1DPtr _h_M, _h_pT, _h_dPhi, _h_costh, _h_phistar, _h_at;
fastjet::AreaDefinition* _area_def;
const vector<double> ETA_BINS = {0.0, 1.5, 3.0};
vector<double> _ptDensity, _sigma, _Njets;
};
RIVET_DECLARE_PLUGIN(ATLAS_2017_I1591327);
}