Rivet analyses
Measurement and QCD analysis of double-differential inclusive jet cross sections in proton-proton collisions at 13 TeV
Experiment: CMS (LHC)
Inspire ID: 1972986
Status: VALIDATED
Authors: - cms-pag-conveners-smp@cern.ch - Patrick L.S. Connor
References: - arXiv: 2111.10431 - Expt page: CMS-SMP-20-011 - JHEP 02 (2022) 142
Beams: p+ p+
Beam energies: (6500.0, 6500.0)GeV
Run details: - pp to jets at $\sqrt{s} = 13$ TeV. Data collected by CMS during the year 2016.
A measurement of the inclusive jet production in proton-proton collisions at the LHC at √s = 13 TeV is presented. The double-differential cross sections are measured as a function of the jet transverse momentum pT and the absolute jet rapidity |y|. The anti-kT clustering algorithm is used with distance parameter of 0.4 (0.7) in a phase space region with jet pT from 97 GeV up to 3.1 TeV and |y|< 2.0. Data collected with the CMS detector are used, corresponding to an integrated luminosity of 36.3/fb (33.5/fb). The measurement is used in a comprehensive QCD analysis at next-to-next-to-leading order, which results in significant improvement in the accuracy of the parton distributions in the proton. Simultaneously, the value of the strong coupling constant at the Z boson mass is extracted as alpha_S(Z) = 0.1170 ± 0.0019. For the first time, these data are used in a standard model effective field theory analysis at next-to-leading order, where parton distributions and the QCD parameters are extracted simultaneously with imposed constraints on the Wilson coefficient c1 of 4-quark contact interactions.
Source
code:CMS_2021_I1972986.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
/// Inclusive jet pT at 13 TeV
class CMS_2021_I1972986 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(CMS_2021_I1972986);
/// Book histograms and initialize projections:
void init() {
// Initialize the projections
const FinalState fs;
declare(FastJets(fs, JetAlg::ANTIKT, 0.4), "JetsAK4");
declare(FastJets(fs, JetAlg::ANTIKT, 0.7), "JetsAK7");
// Book sets of histograms, binned in absolute rapidity
book(_hist_sigmaAK4, {0., 0.5, 1.0, 1.5, 2.0},
{"d01-x01-y01", "d02-x01-y01", "d03-x01-y01", "d04-x01-y01"});
book(_hist_sigmaAK7, {0., 0.5, 1.0, 1.5, 2.0},
{"d21-x01-y01", "d22-x01-y01", "d23-x01-y01", "d24-x01-y01"});
}
/// Per-event analysis
void analyze(const Event &event) {
// AK4 jets
const FastJets& fjAK4 = apply<FastJets>(event, "JetsAK4");
const Jets& jetsAK4 = fjAK4.jets(Cuts::ptIn(97*GeV, 3103*GeV) && Cuts::absrap < 2.0);
for (const Jet& j : jetsAK4) {
_hist_sigmaAK4->fill(j.absrap(), j.pT());
}
// AK7 jets
const FastJets& fjAK7 = apply<FastJets>(event, "JetsAK7");
const Jets& jetsAK7 = fjAK7.jets(Cuts::ptIn(97*GeV, 3103*GeV) && Cuts::absrap < 2.0);
for (const Jet& j : jetsAK7) {
_hist_sigmaAK7->fill(j.absrap(), j.pT());
}
}
// Finalize
void finalize() {
/// @note Extra division factor is the *signed* dy, i.e. 2*d|y|
scale(_hist_sigmaAK4, 0.5*crossSection()/picobarn/sumOfWeights());
scale(_hist_sigmaAK7, 0.5*crossSection()/picobarn/sumOfWeights());
divByGroupWidth({_hist_sigmaAK4, _hist_sigmaAK7});
}
/// @name Histograms
/// @{
Histo1DGroupPtr _hist_sigmaAK4;
Histo1DGroupPtr _hist_sigmaAK7;
/// @}
};
RIVET_DECLARE_PLUGIN(CMS_2021_I1972986);
}