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New techniques for jet calibration with the ATLAS detector

A determination of the jet energy scale is presented using proton-proton collision data with a centre-of-mass energy of √s = 13 TeV, corresponding to an integrated luminosity of 140 fb-1 collected using the ATLAS detector at the LHC. Jets are reconstructed using the ATLAS particle-flow method that c...

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Main Authors: Aad, Georges (Author) , Baltes, Lisa Marie (Author) , Bartels, Falk (Author) , Czurylo, Marta (Author) , Rio, Fernando del (Author) , Dittmeier, Sebastian (Author) , Dunford, Monica (Author) , Franchino, Silvia (Author) , Junkermann, Thomas (Author) , Klassen, Martin (Author) , Mkrtchyan, Tigran (Author) , Ott, Philipp (Author) , Rassloff, Damir Fabrice (Author) , Rodriguez Bosca, Sergi (Author) , Sauer, Christof (Author) , Schöning, André (Author) , Schultz-Coulon, Hans-Christian (Author) , Sothilingam, Varsiha (Author) , Stamen, Rainer (Author) , Starovoitov, Pavel (Author) , Vigani, Luigi (Author) , Weber, Sebastian (Author) , Wessels, Martin (Author) , Zinßer, Joachim (Author)
Corporate Author: ATLAS Collaboration (Author)
Format: Article (Journal)
Language:English
Published: 29 August 2023
In: The European physical journal. C, Particles and fields
Year: 2023, Volume: 83, Issue: 8, Pages: 1-41
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11837-9
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1140/epjc/s10052-023-11837-9
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Author Notes:ATLAS Collaboration*
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Summary:A determination of the jet energy scale is presented using proton-proton collision data with a centre-of-mass energy of √s = 13 TeV, corresponding to an integrated luminosity of 140 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-kt 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 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.
Item Description:*ATLAS Collaboration: G. Aad, L.M. Baltes, F. Bartels, M.M. Czurylo, F. Del Rio, S.J. Dittmeier, M. Dunford, S. Franchino, T. Junkermann, M. Klassen, T. Mkrtchyan, P.S. Ott, D.F. Rassloff, S. Rodriguez Bosca, C. Sauer, A. Schoening, H-C. Schultz-Coulon, V. Sothilingam, R. Stamen, P. Starovoitov, L. Vigani, S.M. Weber, M. Wessels, J. Zinsser [und sehr viele weitere Personen]
Gesehen am 16.02.2024
Physical Description:Online Resource
ISSN:1434-6052
DOI:10.1140/epjc/s10052-023-11837-9

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