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New techniques for jet calibration with the ATLAS detector
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SYSNO ASEP 0576559 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title New techniques for jet calibration with the ATLAS detector Author(s) Aad, G. (FR)
Abbott, B. (US)
Abeling, K. (DE)
Chudoba, Jiří (FZU-D) RID, ORCID
Federičová, Pavla (FZU-D) ORCID
Hejbal, Jiří (FZU-D) RID, ORCID
Jačka, Petr (FZU-D) ORCID
Kepka, Oldřich (FZU-D) RID, ORCID
Kroll, Jiří (FZU-D) ORCID
Kupčo, Alexander (FZU-D) RID, ORCID
Latoňová, Věra (FZU-D) ORCID
Lokajíček, Miloš (FZU-D) RID, ORCID
Lysák, Roman (FZU-D) RID, ORCID
Marčišovský, Michal (FZU-D) RID, ORCID
Mikeštíková, Marcela (FZU-D) RID, ORCID
Němeček, Stanislav (FZU-D) RID, ORCID
Šícho, Petr (FZU-D) RID, ORCID
Staroba, Pavel (FZU-D) RID, ORCID
Svatoš, Michal (FZU-D) RID, ORCID
Taševský, Marek (FZU-D) RID, ORCIDNumber of authors 2958 Article number 761 Source Title European Physical Journal C. - : Springer - ISSN 1434-6044
Roč. 83, Aug (2023)Number of pages 41 s. Language eng - English Country DE - Germany Keywords charged particle: tracks ; ATLAS ; CERN LHC Coll ; particle flow ; performance Subject RIV BF - Elementary Particles and High Energy Physics OECD category Particles and field physics Research Infrastructure CERN-CZ III - 90240 - Fyzikální ústav AV ČR, v. v. i. Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 001062421500007 DOI 10.1140/epjc/s10052-023-11837-9 Annotation A determination of the jet energy scale is presented using proton–proton collision data with a centre-of-mass energy of s=13s =13 TeV, corresponding to an integrated luminosity of 140 fb−1−1 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-ktkt jet algorithm with radius parameter R=0.4R=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−1−1 of Run 2 data. Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2024 Electronic address https://hdl.handle.net/11104/0346114
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