Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/12564
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DC Field | Value | Language |
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dc.contributor.author | Zwalinski, L. | - |
dc.contributor.author | Zou, W. | - |
dc.contributor.author | Zormpa, O. | - |
dc.contributor.author | Zorbas, T.G. | - |
dc.contributor.author | Zoch, K. | - |
dc.contributor.author | Zoccoli, A. | - |
dc.contributor.author | Monzani, S. | - |
dc.date.accessioned | 2025-07-10T19:48:07Z | - |
dc.date.available | 2025-07-10T19:48:07Z | - |
dc.date.issued | 2025 | - |
dc.identifier.issn | 1434-6044 | - |
dc.identifier.uri | https://doi.org/10.1140/epjc/s10052-025-14041-z | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/12564 | - |
dc.description.abstract | A search is presented for a heavy scalar (H) or pseudo-scalar (A) predicted by the two-Higgs-doublet models, where the H/A is produced in association with a top-quark pair (tt¯H/A), and with the H/A decaying into a tt¯ pair. The full LHC Run 2 proton–proton collision data collected by the ATLAS experiment is used, corresponding to an integrated luminosity of 139fb-1. Events are selected requiring exactly one or two opposite-charge electrons or muons. Data-driven corrections are applied to improve the modelling of the tt¯+jets background in the regime with high jet and b-jet multiplicities. These include a novel multi-dimensional kinematic reweighting based on a neural network trained using data and simulations. An H/A-mass parameterised graph neural network is trained to optimise the signal-to-background discrimination. In combination with the previous search performed by the ATLAS Collaboration in the multilepton final state, the observed upper limits on the tt¯H/A→tt¯tt¯ production cross-section at 95% confidence level range between 14 fb and 5.0 fb for an H/A with mass between 400 GeV and 1000 GeV, respectively. Assuming that both the H and A contribute to the tt¯tt¯ cross-section, tanβ values below 1.7 or 0.7 are excluded for a mass of 400 GeV or 1000 GeV, respectively. The results are also used to constrain a model predicting the pair production of a colour-octet scalar, with the scalar decaying into a tt¯ pair. © The Author(s) 2025. | en_US |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades, MCIU; BNL; Australian Research Council, ARC; La Caixa Banking Foundation; Centre National pour la Recherche Scientifique et Technique, CNRST; Center for African Studies, CAS; Fundação para a Ciência e a Tecnologia, FCT; European Union, Future Artificial Intelligence Research; Georgia Health Initiative, HGF; Center for Advancing Research Impact in Society, ARIS; National Science Foundation, NSF; Science and Technology Facilities Council, STFC; H2020 Marie Skłodowska-Curie Actions, MSCM; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Leverhulme Trust; Baden-Württemberg Stiftung, BWS; MVZI; PROMETEO; Spine Education and Research Institute, SERI; Neubauer Family Foundation, NFF; IDUB AGH; Generalitat de Catalunya; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Austrian Science Fund, FFWF; Agencia Nacional de Investigación y Desarrollo, ANID; Bundesministerium für Bildung und Forschung, BMBF; Canada Foundation for Innovation, FCI; Danmarks Grundforskningsfond, DNRF; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Forskningsrådet för hälsa, arbetsliv och välfärd, FORTE; Karlsruhe Institute of Technology, KIT; Canarie; GridKA; Horizon 2020 Framework Programme; Göran Gustafssons Stiftelser; CNY Arts, CRC; United States-Israel Binational Science Foundation, BSF; European Commission, EU; European Social Fund Plus, ESF; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MEST; European Cooperation in Science and Technology, COST; International Council of Shopping Centers, ICSC; RGC; Duchenne Research Fund, DRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; Agencia Estatal de Investigación, AEI; Islamic Scholarship Fund, ISF; Institutul de Fizică Atomică, IFA; Natural Sciences and Engineering Research Council of Canada, CRSNG; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; National Science and Technology Council, NSTC; Irish Rugby Football Union, IRFU; Cantons of Bern and Geneva; Defence Science Institute, DSI; MNE; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Royal Society; Minerva Foundation; Marcus och Amalia Wallenbergs minnesfond, MMW; CERN-CZ; National Research Foundation, NRF; Ministerstwo Edukacji i Nauki, MNiSW; Generalitat Valenciana, GVA; CERN, CERN; National Research Council Canada, CNRC; Alexander von Humboldt-Stiftung, AvH; Multiple Sclerosis Scientific Research Foundation, MSSRF; Horizon 2020; Istituto Nazionale di Fisica Nucleare, INFN; British Columbia Knowledge Development Fund, BCKDF; Ministry of Education, Culture, Sports, Science and Technology, MEXT; UK Research and Innovation, UKRI; Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1609300, MOST-2023YFA1605700); Ministry of Science and Technology of the People's Republic of China, MOST; Investissements d’Avenir Labex, (ANR-11-LABX-0012); The Slovenian Research and Innovation Agency, ARRS, (J1-3010); The Slovenian Research and Innovation Agency, ARRS; European Regional Development Fund, ERDF, (IDIFEDER /2018/048); European Regional Development Fund, ERDF; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNSF, (RPG-2020-004, NIF-R1-231091, PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNSF; NextGenerationEU, NGEU, (PE00000013); NextGenerationEU, NGEU; North Dakota Game and Fish Department, NDGF, (CC-IN2P3); North Dakota Game and Fish Department, NDGF; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; MICIN, (RYC2019-028510-I, RYC2022-038164-I, PID2021-125273NB, RYC2021-031273-I, RYC2020-030254-I); Deutsche Forschungsgemeinschaft, DFG, (DFG - CR 312/5-2, DFG - 469666862); Deutsche Forschungsgemeinschaft, DFG; Ministero dell'Università e della Ricerca, MUR, (PRIN - 20223N7F8K - PNRR M4.C2.1.1); Ministero dell'Università e della Ricerca, MUR; H2020 European Research Council, CEI, (ERC - 101002463); H2020 European Research Council, CEI; DNSRC, (IN2P3-CNRS); Narodowa Agencja Wymiany Akademickiej, NAWA, (PPN/PPO/2020/1/00002/U/00001); Narodowa Agencja Wymiany Akademickiej, NAWA; Ministerio de Ciencia e Innovación, MICINN, (PCI2022-135018-2); Ministerio de Ciencia e Innovación, MICINN; U.S. Department of Energy, DOE, (ECA DE-AC02-76SF00515); U.S. Department of Energy, DOE; Ministerstvo Školství, Mládeže a Tělovýchovy, MEYS, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); Ministerstvo Školství, Mládeže a Tělovýchovy, MEYS; European Research Council, ERC, (101089007, 948254); European Research Council, ERC; National Natural Science Foundation of China, NNSF, (12275265, 12175119, NSFC-12075060); National Natural Science Foundation of China, NNSF; Norwegian Financial Mechanism, (2014-2021); Narodowe Centrum Nauki, NCN, (2021/42/E/ST2/00350, UMO-2021/40/C/ST2/00187, UMO-2023/ 49/B/ST2/04085, UMO-2020/37/B/ST2/01043, UMO-2019/34/E/ST2/00393, UMO-2022/47/O/ST2/00148, H2020 MSCA 945339, 2022/47/B/ST2/03059); Narodowe Centrum Nauki, NCN; GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023); Grantová Agentura České Republiky, GACR, (GACR - 24-11373S); Grantová Agentura České Republiky, GACR; Agence Nationale de la Recherche, ANR, (ANR-20-CE31-0013, ANR-21-CE31-0013, ANR-22-EDIR-0002, ANR-21-CE31-0022); Agence Nationale de la Recherche, ANR; Carl Tryggers Stiftelse för Vetenskaplig Forskning, (CTS 22:2312); Carl Tryggers Stiftelse för Vetenskaplig Forskning; Vetenskapsrådet, VR, (VR 2022-04683, 2023-04654, VR 2022-03845, 2021-03651, VR 2023-03403, VR 2018-00482); Vetenskapsrådet, VR; MUCCA, (CHIST-ERA-19-XAI-00); Japan Society for the Promotion of Science, KAKENHI, (JP21H05085, JP22KK0227, JP22H04944, JP22H01227); Japan Society for the Promotion of Science, KAKENHI; DRAC, (21/SCI/017); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1230987, 1210400, 1190886, 1230812); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT; Knut och Alice Wallenbergs Stiftelse, (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Knut och Alice Wallenbergs Stiftelse | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Nature | en_US |
dc.relation.ispartof | European Physical Journal C | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Search for tt¯H/A→tt¯tt¯ Production in Proton–proton Collisions at s=13 TeV With the ATLAS Detector | en_US |
dc.type | Article | en_US |
dc.department | TOBB University of Economics and Technology | en_US |
dc.identifier.volume | 85 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.scopus | 2-s2.0-105009301920 | - |
dc.identifier.doi | 10.1140/epjc/s10052-025-14041-z | - |
dc.authorscopusid | 36723368700 | - |
dc.authorscopusid | 57222147147 | - |
dc.authorscopusid | 57217281179 | - |
dc.authorscopusid | 57200552535 | - |
dc.authorscopusid | 57201728720 | - |
dc.authorscopusid | 7004328842 | - |
dc.authorscopusid | 36721914300 | - |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q1 | - |
dc.identifier.wosquality | Q2 | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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