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Title: Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC
Authors: Aad, G.
Abbott, B.
Abbott, D. C.
Abeling, K.
Abidi, S. H.
Aboulhorma, A.
Abramowicz, H.
Keywords: Analysis and statistical methods
Particle identification methods
Issue Date: 2023
Publisher: IOP Publishing Ltd
Abstract: Measurements and searches performed with the ATLAS detector at the CERN LHC often involve signatures with one or more prompt leptons. Such analyses are 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-lepton selection criteria. These backgrounds often arise within a hadronic jet because of particle decays in the showering process, particle misidentification or particle interactions 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.
ISSN: 1748-0221
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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