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Rivet analyses reference
ATLAS_2017_I1604271
ATLAS Inclusive jet cross section measurement at sqrt(s)=8TeV
Experiment: ATLAS (LHC)
Inspire ID: 1604271
Status: VALIDATED
Authors:
- Jon Butterworth
- Jonathan Bossio
- Zdenek Hubacek
References:
Beams: p+ p+
Beam energies: (4000.0, 4000.0) GeV
Run details:
- LHC 8TeV, ATLAS, QCD jet production, anti-kt R=0.4 jets, anti-kt R=0.6 jets
Inclusive jet production cross-sections are measured in proton-proton collisions at a centre-of-mass energy of $\sqrt{s}=8$ TeV recorded by the ATLAS experiment at the Large Hadron Collider at CERN. The total integrated luminosity of the analysed data set amounts to 20.2 fb$^{-1}$. Double-differential cross-sections are measured for jets defined by the anti-$k_\text{t}$ jet clustering algorithm with radius parameters of $R=0.4$ and $R=0.6$ and are presented as a function of the jet transverse momentum, in the range between 70 GeV and 2.5 TeV and in six bins of the absolute jet rapidity, between 0 and 3.0. The measured cross-sections are compared to predictions of quantum chromodynamics, calculated at next-to-leading order in perturbation theory, and corrected for non-perturbative and electroweak effects. The level of agreement with predictions, using a selection of different parton distribution functions for the proton, is quantified. Tensions between the data and the theory predictions are observed.
Source code:
ATLAS_2017_I1604271.cc
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98 | // -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// @brief Add a short analysis description here
class ATLAS_2017_I1604271 : public Analysis {
public:
/// Constructor
DEFAULT_RIVET_ANALYSIS_CTOR(ATLAS_2017_I1604271);
/// Book histograms and initialise projections before the run
void init() {
const FinalState fs;
declare(fs,"FinalState");
FastJets fj04(fs, FastJets::ANTIKT, 0.4);
FastJets fj06(fs, FastJets::ANTIKT, 0.6);
fj04.useInvisibles();
declare(fj04, "AntiKT04");
fj06.useInvisibles();
declare(fj06, "AntiKT06");
// |y| and ystar bins
const int nybins = 6;
double ybins[nybins+1] = { 0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0};
// Book histograms
// pT histograms
for (size_t i = 0; i < nybins; ++i){ // loop over |y| bins
{Histo1DPtr tmp; _pThistograms6.add(ybins[i], ybins[i+1], book(tmp, i+1,1,1));}
{Histo1DPtr tmp; _pThistograms4.add(ybins[i], ybins[i+1], book(tmp, i+7,1,1));}
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const Jets& kt4Jets = applyProjection<FastJets>(event, "AntiKT04").jetsByPt(Cuts::pT>70*GeV && Cuts::absrap < 3.0);
const Jets& kt6Jets = applyProjection<FastJets>(event, "AntiKT06").jetsByPt(Cuts::pT>70*GeV && Cuts::absrap < 3.0);
int nJets4 = kt4Jets.size();
int nJets6 = kt6Jets.size();
// Inclusive jet selection
for(int ijet=0;ijet<nJets4;++ijet){ // loop over jets
FourMomentum jet = kt4Jets[ijet].momentum();
// pT selection
const double absy = jet.absrap();
_pThistograms4.fill(absy,jet.pt()/GeV);
}
for(int ijet=0;ijet<nJets6;++ijet){ // loop over jets
FourMomentum jet = kt6Jets[ijet].momentum();
// pT selection
const double absy = jet.absrap();
_pThistograms6.fill(absy,jet.pt()/GeV);
}
}
/// Normalise histograms etc., after the run
void finalize() {
const double xs_pb( crossSection() / picobarn );
const double sumW( sumOfWeights() );
const double xs_norm_factor( 0.5*xs_pb / sumW );
MSG_DEBUG( "Cross-Section/pb : " << xs_pb );
MSG_DEBUG( "ZH : " << crossSectionPerEvent()/ picobarn);
MSG_DEBUG( "Sum of weights : " << sumW );
MSG_DEBUG( "nEvents : " << numEvents() );
_pThistograms4.scale(xs_norm_factor, this);
_pThistograms6.scale(xs_norm_factor, this);
}
private:
// The inclusive pT spectrum for akt4 jets
BinnedHistogram _pThistograms4;
// The inclusive pT spectrum for akt6 jets
BinnedHistogram _pThistograms6;
};
// The hook for the plugin system
DECLARE_RIVET_PLUGIN(ATLAS_2017_I1604271);
}
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