0583126 - FZÚ 2024 RIV US eng J - Journal Article
Aad, G. - Abbott, B. - Abbott, D.C. - Chudoba, Jiří - Federičová, Pavla - Hejbal, Jiří - Jačka, Petr - Kepka, Oldřich - Kroll, Jiří - Kupčo, Alexander - Latoňová, Věra - Lokajíček, Miloš - Lysák, Roman - Marčišovský, Michal - Mikeštíková, Marcela - Němeček, Stanislav - Šícho, Petr - Staroba, Pavel - Svatoš, Michal - Taševský, Marek … Total 2893 authors
Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC.
Journal of Instrumentation. Roč. 18, č. 11 (2023), č. článku T11004. ISSN 1748-0221. E-ISSN 1748-0221
R&D Projects: GA MŠMT LM2023040
Institutional support: RVO:68378271
Keywords : analysis and statistical methods * particle identification methods * p p: scattering
OECD category: Particles and field physics
Impact factor: 1.3, year: 2023 ; AIS: 0.425, rok: 2023
Method of publishing: Open access
DOI: https://doi.org/10.1088/1748-0221/18/11/T11004

Measurements and searches performed with the ATLAS detector at the CERN LHC often involve signatures with one or more prompt leptons. Such analysesare subject to `fake/non-prompt' lepton backgrounds, where either a hadron or a lepton from a hadron decay or an electron from a photon conversion satisfies the prompt-leptonselection criteria. These backgrounds often arise within a hadronic jet because of particle decays in the showering process, particle misidentification or particleinteractions with the detector material. As it is challenging to model these processes with high accuracy in simulation, their estimation typically uses data-driven methods.Three methods for carrying out this estimation are described, along with their implementation in ATLAS and their performance.
Permanent Link: https://hdl.handle.net/11104/0351118