Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11787
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dc.contributor.authorFilmer, E.K.-
dc.contributor.authorGrant, C.M.-
dc.contributor.authorGreen, M.J.-
dc.contributor.authorJackson, P.-
dc.contributor.authorKong, A.X.Y.-
dc.contributor.authorPandya, H.D.-
dc.contributor.authorRuggeri, T.A.-
dc.date.accessioned2024-09-22T13:30:57Z-
dc.date.available2024-09-22T13:30:57Z-
dc.date.issued2024-
dc.identifier.issn2470-0010-
dc.identifier.urihttps://doi.org/10.1103/PhysRevD.110.032015-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11787-
dc.description.abstractSeveral processes studied by the ATLAS experiment at the Large Hadron Collider produce low-momentum Formula Presented-flavored hadrons in the final state. This paper describes the calibration of a dedicated tagging algorithm that identifies Formula Presented-flavored hadrons outside of hadronic jets by reconstructing the soft secondary vertices originating from their decays. The calibration is based on a proton-proton collision dataset at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of Formula Presented. Scale factors used to correct the algorithm’s performance in simulated events are extracted for the Formula Presented-tagging efficiency and the mistag rate of the algorithm using a data sample enriched in Formula Presented events. Several orthogonal measurement regions are defined, binned as a function of the multiplicities of soft secondary vertices and jets containing a Formula Presented-flavored hadron in the event. The mistag rate scale factors are estimated separately for events with low and high average numbers of interactions per bunch crossing. The results, which are derived from events with low missing transverse momentum, are successfully validated in a phase space characterized by high missing transverse momentum and therefore are applicable to new physics searches carried out in either phase space regime. © 2024 CERN, for the ATLAS Collaboration.en_US
dc.description.sponsorshipBSF-NSF; Australian Research Council, ARC; DRAC; La Caixa Banking Foundation; Centre National pour la Recherche Scientifique et Technique, CNRST; Fundação para a Ciência e a Tecnologia, FCT; European Union, Future Artificial Intelligence Research; Cooperative Research Centres, Australian Government Department of Industry, CRCs; National Science Foundation, NSF; CEA-DRF; Science and Technology Facilities Council, STFC; Horizon 2020, ICSC-NextGenerationEU; H2020 Marie Skłodowska-Curie Actions, MSCA; INFN-CNAF; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Ministry of Science and Technology, Taiwan, MOST; Israel Science Foundation, ISF; Wallenberg Foundation; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; PROMETEO; Neubauer Family Foundation, NFF; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Generalitat de Catalunya; Instituto Nazionale di Fisica Nucleare, INFN; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FWF; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Helmholtz-Gemeinschaft, HGF; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Forskningsrådet om Hälsa, Arbetsliv och Välfärd, FORTE; Karlsruhe Institute of Technology, KIT; Canarie; GridKA; Horizon 2020 Framework Programme, H2020; Göran Gustafssons Stiftelser; MIZŠ; European Commission, EC; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; European Cooperation in Science and Technology, COST; EU-ESF; International Council of Shopping Centers, ICSC; RGC; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; Institutul de Fizică Atomică, IFA; Natural Sciences and Engineering Research Council of Canada, NSERC; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; GenT Programmes Generalitat Valenciana, Spain; Irish Rugby Football Union, IRFU; Cantons of Bern and Geneva; Chinese Academy of Sciences, CAS; Defence Science Institute, DSI; MNE; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Royal Society; Minerva Foundation; CERN-CZ; National Research Foundation, NRF; Ministerstwo Edukacji i Nauki, MNiSW; Generalitat Valenciana, GVA; CERN; National Research Council Canada, NRC; Brookhaven National Laboratory, BNL; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; Caring Futures Institute, Flinders University, CFI; British Columbia Knowledge Development Fund, BCKDF; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (RPG-2020-004, NIF-R1-231091, SNSF—PCEFP2_194658); Norges Forskningsråd, (RCN-314472); GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023); MICIN, (RYC2022-038164-I, RYC2019-028510-I, RYC2021-031273-I, PID2021-125273NB, RYC2020-030254-I); European Regional Development Fund, ERDF, (IDIFEDER/2018/048); U.S. Department of Energy, USDOE, (ECA DE-AC02-76SF00515); Center for Advancing Research Impact in Society, ARIS, (J1-3010); European Research Council, ERC, (ERC-101089007, ERC-948254); NDGF, (CC-IN2P3); Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); DNSRC, (IN2P3-CNRS); Norwegian Financial Mechanism, (2014-2021); Vetenskapsrådet, VR, (VR 2022-03845, 2021-03651, VR 2018-00482, 2023-04654, VR 2023-03403, VR 2022-04683); Japan Society for the Promotion of Science, JSPS, (JP21H05085, JP22KK0227, JP22H04944, JP22H01227); Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-21-CE31-0022); H2020 European Research Council, ERC, (ERC-101002463); MUCCA, (CHIST-ERA-19-XAI-00); Narodowe Centrum Nauki, NCN, (2022/47/B/ST2/03059, 2021/42/E/ST2/00350, UMO-2020/37/B/ST2/01043, UMO-2022/47/O/ST2/00148, UMO-2023/49/B/ST2/04085, UMO-2019/34/E/ST2/00393, UMO-2021/40/C/ST2/00187); Deutsche Forschungsgemeinschaft, DFG, (DFG-CR 312/5-2, DFG-469666862); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1230987, 1190886, 1230812); Knut och Alice Wallenbergs Stiftelse, (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Narodowa Agencja Wymiany Akademickiej, NAWA, (PPN/PPO/2020/1/00002/U/00001); National Natural Science Foundation of China, NSFC, (NSFC-12275265, NSFC-12175119, NSFC-12075060); Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1605700); Investissements d’Avenir Labex, (ANR-11-LABX-0012); FAIR-NextGenerationEU, (PE00000013); Grantová Agentura České Republiky, GAČR, (GACR—24-11373S); Ministerio de Ciencia e Innovación, MCIN, (PCI2022-135018-2)en_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.relation.ispartofPhysical Review Den_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleCalibration of a Soft Secondary Vertex Tagger Using Proton-Proton Collisions at Formula Presented With the Atlas Detectoren_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume110en_US
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85203189338en_US
dc.institutionauthor-
dc.identifier.doi10.1103/PhysRevD.110.032015-
dc.authorscopusid57219359136-
dc.authorscopusid57209236018-
dc.authorscopusid59139968300-
dc.authorscopusid55094642100-
dc.authorscopusid57212470179-
dc.authorscopusid58708776800-
dc.authorscopusid57218668934-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.openairetypeArticle-
item.languageiso639-1en-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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