New techniques for jet calibration with the ATLAS detector

Abstract

A determination of the jet energy scale is presented using proton$-$proton collision data with a centre-of-mass energy of $\sqrt{s}=13$ TeV, corresponding to an integrated luminosity of 140 $\mbox{fb\(^{-1}\)}$ collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that combines charged-particle tracks and topo-clusters formed from energy deposits in the calorimeter cells. The anti-$k_{\mathrm{t}}$ jet algorithm with radius parameter $R=0.4$ is used to define the jet. Novel jet energy scale calibration strategies developed for the LHC Run 2 are reported that lay the foundation for the jet calibration in Run 3. Jets are calibrated with a series of simulation-based corrections, including state-of-the-art techniques in jet calibration such as machine learning methods and novel in situ calibrations to achieve better performance than the baseline calibration derived using up to 81 $\mbox{fb\(^{-1}\)}$ of Run 2 data. The performance of these new techniques is then examined in the in situ measurements by exploiting the transverse momentum balance between a jet and a reference object. The $b$-quark jet energy scale using particle flow jets is measured for the first time with around 1% precision using $\gamma$+jet events

58 pages in total, author list starting page 41, 21 figures, 3 tables, published in Eur. Phys. J. C (2023) 83:761. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/JETM-2022-01/

References in corpus (10)

• PYTHIA 6.4 Physics and Manual
• The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
• An Introduction to PYTHIA 8.2
• Matching NLO QCD computations with Parton Shower simulations: the POWHEG method
• Event generation with SHERPA 1.1
• Herwig++ Physics and Manual
• A parton shower algorithm based on Catani-Seymour dipole factorisation
• Pileup subtraction using jet areas
• The Catchment Area of Jets
• Combining Triggers in HEP Data Analysis

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• Search for decays of the Higgs boson into scalar particles decaying into four or six $b$-quarks using $pp$ collisions at $\sqrt{s}=13\mathrm{TeV}$ with the ATLAS detector
• A precise measurement of the jet energy scale derived from single-particle measurements and in situ techniques in proton-proton collisions at $\sqrt{s}=$ 13 TeV with the ATLAS detector
• Energy scale and resolution for anti-$k_t$ jets with radius parameters $R=0.2$ and 0.6 measured in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector