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Article: Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC

TitleTools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC
Authors
KeywordsAnalysis and statistical methods
Particle identification methods
Issue Date1-Nov-2023
PublisherIOP Publishing
Citation
Journal of Instrumentation, 2023, v. 18, n. 11, p. 1-61 How to Cite?
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.


Persistent Identifierhttp://hdl.handle.net/10722/340382
ISSN
2021 Impact Factor: 1.121
2020 SCImago Journal Rankings: 0.741
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorAad, G-
dc.contributor.authorAbbott, B-
dc.contributor.authorAbbott, DC-
dc.contributor.authorAbeling, K-
dc.contributor.authorAbidi, SH-
dc.contributor.authorAboulhorma, A-
dc.contributor.authorAbramowicz, H-
dc.contributor.authorAbreu, H-
dc.contributor.authorAbulaiti, Y-
dc.contributor.authorHoffman, ACA-
dc.contributor.authorAcharya, BS-
dc.contributor.authorBourdarios, CA-
dc.contributor.authorAdamczyk, L-
dc.contributor.authorAdamek, L-
dc.contributor.authorAddepalli, SV-
dc.contributor.authorAdelman, J-
dc.contributor.authorAdiguzel, A-
dc.contributor.authorAdorni, S-
dc.contributor.authorAdye, T-
dc.contributor.authorAffolder, AA-
dc.contributor.authorAfik, Y-
dc.contributor.authorAgaras, MN-
dc.contributor.authorAgarwala, J-
dc.contributor.authorAggarwal, A-
dc.contributor.authorAgheorghiesei, C-
dc.contributor.authorAguilar-Saavedra, JA-
dc.contributor.authorAhmad, A-
dc.contributor.authorAhmadov, F-
dc.contributor.authorAhmed, WS-
dc.contributor.authorAhuja, S-
dc.contributor.authorAi, X-
dc.contributor.authorAielli, G-
dc.contributor.authorTamlihat, MA-
dc.contributor.authorAitbenchikh, B-
dc.contributor.authorAizenberg, I-
dc.contributor.authorAkbiyik, M-
dc.contributor.authorÅkesson, TPA-
dc.contributor.authorAkimov, AV-
dc.contributor.authorAl, Khoury K-
dc.contributor.authorAlberghi, GL-
dc.contributor.authorAlbert, J-
dc.contributor.authorAlbicocco, P-
dc.contributor.authorAlderweireldt, S-
dc.contributor.authorAleksa, M-
dc.contributor.authorAleksandrov, IN-
dc.contributor.authorAlexa, C-
dc.contributor.authorAlexopoulos, T-
dc.contributor.authorAlfonsi, A-
dc.contributor.authorAlfonsi, F-
dc.contributor.authorAlhroob, M-
dc.contributor.authorAli, B-
dc.contributor.authorAli, S-
dc.contributor.authorAliev, M-
dc.contributor.authorAlimonti, G-
dc.contributor.authorAlkakhi, W-
dc.contributor.authorAllaire, C-
dc.contributor.authorAllbrooke, BMM-
dc.contributor.authorFlores, CAA-
dc.contributor.authorAllport, PP-
dc.contributor.authorAloisio, A-
dc.contributor.authorAlonso, F-
dc.contributor.authorAlpigiani, C-
dc.contributor.authorEstevez, MA-
dc.contributor.authorAlviggi, MG-
dc.contributor.authorAly, M-
dc.contributor.authorCoutinho, YA-
dc.contributor.authorAmbler, A-
dc.contributor.authorAmelung, C-
dc.contributor.authorAmerl, M-
dc.contributor.authorAmes, CG-
dc.contributor.authorAmidei, D-
dc.contributor.authorDos, Santos SPA-
dc.contributor.authorAmos, KR-
dc.contributor.authorAnaniev, V-
dc.contributor.authorAnastopoulos, C-
dc.contributor.authorAndeen, T-
dc.contributor.authorAnders, JK-
dc.contributor.authorAndrean, SY-
dc.contributor.authorAndreazza, A-
dc.contributor.authorAngelidakis, S-
dc.contributor.authorAngerami, A-
dc.contributor.authorAnisenkov, AV-
dc.contributor.authorAnnovi, A-
dc.contributor.authorAntel, C-
dc.contributor.authorAnthony, MT-
dc.contributor.authorAntipov, E-
dc.contributor.authorAntonelli, M-
dc.contributor.authorAntrim, DJA-
dc.contributor.authorAnulli, F-
dc.contributor.authorAoki, M-
dc.contributor.authorAoki, T-
dc.contributor.authorPozo, JAA-
dc.contributor.authorAparo, MA-
dc.contributor.authorBella, LA-
dc.contributor.authorAppelt, C-
dc.contributor.authorAranzabal, N-
dc.contributor.authorFerraz, VA-
dc.contributor.authorArcangeletti, C-
dc.contributor.authorArce, ATH-
dc.contributor.authorArena, E-
dc.contributor.authorArguin, JF-
dc.contributor.authorArgyropoulos, S-
dc.contributor.authorArling, JH-
dc.contributor.authorArmbruster, AJ-
dc.contributor.authorArnaez, O-
dc.contributor.authorArnold, H-
dc.contributor.authorTame, ZPA-
dc.contributor.authorArtoni, G-
dc.contributor.authorAsada, H-
dc.contributor.authorAsai, K-
dc.contributor.authorAsai, S-
dc.contributor.authorAsbah, NA-
dc.contributor.authorAssahsah, J-
dc.contributor.authorAssamagan, K-
dc.contributor.authorAstalos, R-
dc.contributor.authorAtkin, RJ-
dc.contributor.authorAtkinson, M-
dc.contributor.authorAtlay, NB-
dc.contributor.authorAtmani, H-
dc.contributor.authorAtmasiddha, PA-
dc.contributor.authorAugsten, K-
dc.contributor.authorAuricchio, S-
dc.contributor.authorAuriol, AD-
dc.contributor.authorAustrup, VA-
dc.contributor.authorAvner, G-
dc.contributor.authorAvolio, G-
dc.contributor.authorAxiotis, K-
dc.contributor.authorAyoub, MK-
dc.contributor.authorAzuelos, G-
dc.contributor.authorTAM, Kai Chung-
dc.contributor.authorHUANG, Shuhui-
dc.contributor.authorParedes Hernandez, Daniela Katherinne-
dc.contributor.authorTu, Yanjun-
dc.contributor.authorPENG, Chen-
dc.contributor.authoret al-
dc.date.accessioned2024-03-11T10:43:44Z-
dc.date.available2024-03-11T10:43:44Z-
dc.date.issued2023-11-01-
dc.identifier.citationJournal of Instrumentation, 2023, v. 18, n. 11, p. 1-61-
dc.identifier.issn1748-0221-
dc.identifier.urihttp://hdl.handle.net/10722/340382-
dc.description.abstract<p>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.</p>-
dc.languageeng-
dc.publisherIOP Publishing-
dc.relation.ispartofJournal of Instrumentation-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAnalysis and statistical methods-
dc.subjectParticle identification methods-
dc.titleTools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC-
dc.typeArticle-
dc.identifier.doi10.1088/1748-0221/18/11/T11004-
dc.identifier.scopuseid_2-s2.0-85180761391-
dc.identifier.volume18-
dc.identifier.issue11-
dc.identifier.spage1-
dc.identifier.epage61-
dc.identifier.eissn1748-0221-
dc.identifier.isiWOS:001116977400001-
dc.publisher.placeBRISTOL-
dc.identifier.issnl1748-0221-

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