A precise measurement of the jet energy scale derived from single-particle measurements and in situ techniques in proton–proton collisions at s=\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs}

The jet energy calibration and its uncertainties are derived from measurements of the calorimeter response to single particles in both data and Monte Carlo simulation using proton–proton collisions at s=13\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sqrt{s} = 13$$\end{document} TeV collected with the ATLAS detector during Run 2 at the Large Hadron Collider. The jet calibration uncertainty for anti-kT\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$k_T$$\end{document} jets with a jet radius parameter of Rjet=0.4\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_\textrm{jet} = 0.4$$\end{document} and in the central jet rapidity region is about 2.5% for transverse momenta (pT\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_{\text {T}}$$\end{document}) of 20 GeV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {GeV}$$\end{document}, about 0.5%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.5\%$$\end{document} for pT=300\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_{\text {T}} =300$$\end{document} GeV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {GeV}$$\end{document} and 0.7%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.7\%$$\end{document} for pT=4\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_{\text {T}} =4$$\end{document} TeV\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\text {TeV}$$\end{document}. Excellent agreement is found with earlier determinations obtained from pT\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_\textrm{T}$$\end{document}-balance based in situ methods (Z/γ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Z/\gamma $$\end{document}+jets). The combination of these two independent methods results in the most precise jet energy measurement achieved so far with the ATLAS detector with a relative uncertainty of 0.3%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.3\%$$\end{document} at pT=300\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p_\textrm{T}=300$$\end{document} GeV and 0.6%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.6\%$$\end{document} at 4 TeV. The jet energy calibration is also derived with the single-particle calorimeter response measurements separately for quark- and gluon-induced jets and furthermore for jets with Rjet\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$_\textrm{jet}$$\end{document} varying from 0.2 to 1.0 retaining the correlations between these measurements. Differences between inclusive jets and jets from boosted top-quark decays, with and without grooming the soft jet constituents, are also studied.

• Publication year

  2024

• Venue

  The European Physical Journal C

• Publication date

  2024-07-22

• Fields of study

  Physics

• Identifiers
  DOI 10.1140/epjc/s10052-025-14409-1arXiv 2407.15627
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Measurements of jet cross-section ratios in 13 TeV proton-proton collisions with ATLAS

  2024cited by this paper
• Software and computing for Run 3 of the ATLAS experiment at the LHC

  2024cited by this paper
• New techniques for jet calibration with the ATLAS detector

  2023cited by this paper
• Electron and photon energy calibration with the ATLAS detector using LHC Run 2 data

  2023cited by this paper
• Cluster Hadronisation in Sherpa

  2022cited by this paper
• Studies of the muon momentum calibration and performance of the ATLAS detector with 𝒑 𝒑 collisions at √

  2022cited by this paper
• Studies of the muon momentum calibration and performance of the ATLAS detector with pp collisions at $$\sqrt{s}=13$$ s = 13  TeV

  2022cited by this paper
• Study of energy response and resolution of the ATLAS Tile Calorimeter to hadrons of energies from 16 to 30 GeV

  2021cited by this paper
• Measurement of the energy response of the ATLAS calorimeter to charged pions from $W^{\pm}\rightarrow\tau^{\pm}(\rightarrow\pi^{\pm}\nu_{\tau})\nu_{\tau}$ events in Run 2 data

  2021cited by this paper
• Alignment of the ATLAS Inner Detector in Run 2

  2020cited by this paper
• Alignment of the ATLAS Inner Detector in Run-2

  2020cited by this paper
• Oxford University Press : Review of Particle Physics, 2020-2021

  2020cited by this paper
• Optimisation of large-radius jet reconstruction for the ATLAS detector in 13 TeV proton-proton collisions

  2020cited by this paper
• Jet energy scale and resolution measured in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector

  2020cited by this paper
• Determination of jet calibration and energy resolution in proton–proton collisions at $$\sqrt{s} = 8~\hbox {TeV}$$ using the ATLAS detector

  2020cited by this paper
• Event generation with Sherpa 2.2

  2019influential reference
• Properties of jet fragmentation using charged particles measured with the ATLAS detector in $pp$ collisions at $\sqrt{s}=13$ TeV

  2019cited by this paper
• Determination of jet calibration and energy resolution in proton-proton collisions at $\sqrt{s}$ = 8 TeV using the ATLAS detector

  2019influential reference
• Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data

  2019cited by this paper
• An operational definition of quark and gluon jets

  2018cited by this paper
• Jet substructure at the Large Hadron Collider

  2018cited by this paper
• Electron and photon energy calibration with the ATLAS detector using 2015-2016 LHC proton-proton collision data

  2018cited by this paper
• In situ calibration of large-$R$ jet energy and mass in 13 TeV proton-proton collisions with the ATLAS detector

  2018cited by this paper
• Study of the material of the ATLAS inner detector for Run 2 of the LHC

  2017cited by this paper
• Systematics of quark/gluon tagging

  2017cited by this paper
• Jet reconstruction and performance using particle flow with the ATLAS Detector

  2017cited by this paper
• Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at s = 13 TeV with the ATLAS detector

  2017cited by this paper
• Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning

  2017cited by this paper
• Identification and energy calibration of hadronically decaying tau leptons with the ATLAS experiment

  2016cited by this paper
• A measurement of the calorimeter response to single hadrons and determination of the jet energy scale uncertainty using LHC Run-1 pp-collision data with the ATLAS detector

  2016cited by this paper
• Performance of the ATLAS trigger system in 2015

  2016cited by this paper
• Jet energy measurement and its systematic uncertainty in proton-proton collisions at √s=7 TeV with the ATLAS detector

  2015cited by this paper
• New parton distribution functions from a global analysis of quantum chromodynamics

  2015influential reference
• Herwig 7.0/Herwig++ 3.0 release note

  2015cited by this paper
• Jet energy measurement and its systematic uncertainty in proton–proton collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \be

  2015cited by this paper
• An introduction to PYTHIA 8.2

  2014influential reference
• Identification and energy calibration of hadronically decaying tau leptons with the ATLAS experiment in pp collisions at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \

  2014cited by this paper
• Soft drop

  2014cited by this paper
• Atlas

  2014influential reference
• ATLAS Pythia 8 Tunes to 7 TeV Data

  2014cited by this paper
• Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

  2013cited by this paper
• Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

  2012cited by this paper
• Parton distributions with LHC data

  2012cited by this paper
• FastJet user manual

  2011cited by this paper
• Jet energy measurement with the ATLAS detector in proton-proton collisions at sqrt(s) = 7 TeV

  2011cited by this paper
• Status of Geant4 hadronic physics for the simulation of LHC experiments at the start of LHC physics program

  2010cited by this paper
• The ATLAS Simulation Infrastructure

  2010cited by this paper
• Study of jet shapes in inclusive jet production in pp collisions at √s = 7 TeV using the ATLAS detector

  2010cited by this paper
• Study of energy response and resolution of the ATLAS barrel calorimeter to hadrons of energies from 20 to 350 GeV

  2010cited by this paper
• Measurement of pion and proton response and longitudinal shower profiles up to 20 nuclear interaction lengths with the ATLAS tile calorimeter

  2010cited by this paper
• QCD matrix elements and truncated showers

  2009cited by this paper
• Event generation with SHERPA 1.1

  2008cited by this paper
• The anti-$k_t$ jet clustering algorithm

  2008cited by this paper
• The ATLAS Experiment at the CERN Large Hadron Collider

  2008cited by this paper
• A brief introduction to PYTHIA 8.1

  2007cited by this paper
• Pileup subtraction using jet areas

  2007cited by this paper
• A Parton shower algorithm based on Catani-Seymour dipole factorisation

  2007cited by this paper
• Dispelling the N3 myth for the kt jet-finder

  2005cited by this paper
• The Binary Cascade

  2004cited by this paper
• A modified cluster-hadronisation model

  2003cited by this paper
• Geant4—a simulation toolkit

  2003cited by this paper
• String Parton Models in Geant4

  2003cited by this paper
• The EvtGen particle decay simulation package

  2001influential reference
• HERWIG 6.5: an event generator for Hadron Emission Reactions With Interfering Gluons (including supersymmetric processes)

  2000cited by this paper
• Review of Particle Physics

  1996cited by this paper
• Interactions between hadrons and nuclei: The Lund Monte Carlo - FRITIOF version 1.6 -

  1987cited by this paper
• Nariño

  1985cited by this paper
• Jet fragmentation of multiparton configurations in a string framework

  1984cited by this paper
• A QCD model for jet fragmentation including soft gluon interference

  1984cited by this paper
• Parton fragmentation and string dynamics

  1983influential reference
• Calculation of the capture of negative pions in light elements and comparison with experiments pertaining to cancer radiotherapy

  1968cited by this paper
• School Physics

  1945cited by this paper
• Albert Einstein:

  1935cited by this paper

• No citing papers are available for this paper.