Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12070
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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.authorCollot, J.-
dc.date.accessioned2025-02-10T18:28:46Z-
dc.date.available2025-02-10T18:28:46Z-
dc.date.issued2024-
dc.identifier.issn0031-9007-
dc.identifier.urihttps://doi.org/10.1103/PhysRevLett.133.261803-
dc.description.abstract(Formula presented) boson events at the Large Hadron Collider can be selected with high purity and are sensitive to a diverse range of QCD phenomena. As a result, these events are often used to probe the nature of the strong force, improve Monte Carlo event generators, and search for deviations from standard model predictions. All previous measurements of (Formula presented) boson production characterize the event properties using a small number of observables and present the results as differential cross sections in predetermined bins. In this analysis, a machine learning method called omnifold is used to produce a simultaneous measurement of twenty-four (Formula presented) observables using (Formula presented) of proton-proton collisions at (Formula presented) collected with the ATLAS detector. Unlike any previous fiducial differential cross-section measurement, this result is presented unbinned as a dataset of particle-level events, allowing for flexible reuse in a variety of contexts and for new observables to be constructed from the twenty-four measured observables. © 2024 CERN, for the ATLAS Collaboration.en_US
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades, MCIU; BSF-NSF; Australian Research Council, ARC; DRAC; La Caixa Banking Foundation; BMWFW; 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 Stroke Foundation, NSF; Center for Advancing Research Impact in Society, ARIS; 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; MVZI; PROMETEO; Neubauer Family Foundation, NFF; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; IDUB AGH; Generalitat de Catalunya; Instituto Nazionale di Fisica Nucleare, INFN; 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 för hälsa, arbetsliv och välfärd, FORTE; Karlsruhe Institute of Technology, KIT; Canarie; GridKA; Horizon 2020 Framework Programme, H2020; Göran Gustafssons Stiftelser; 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; PRIMUS; 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; National Science and Technology Council, NSTC; 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; UK Research and Innovation, UKRI; Australian Education International, Australian Government, AEI; Ministerio de Ciencia e Innovación, MCIN, (RYC2020-030254-I, RYC2022-038164-I, RYC2019-028510-I, PCI2022-135018-2, RYC2021-031273-I, PID2021-125273NB); Ministerio de Ciencia e Innovación, MCIN; European Regional Development Fund, ERDF, (IDIFEDER/2018/048); European Regional Development Fund, ERDF; MUCCA, (CHIST-ERA-19-XAI-00); Ministry of Science and Technology of the People's Republic of China, MOST, (MOST-2023YFA1605700); Ministry of Science and Technology of the People's Republic of China, MOST; 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; Deutsche Forschungsgemeinschaft, DFG, (DFG—CR 312/5-2, DFG—469666862); Deutsche Forschungsgemeinschaft, DFG; The Slovenian Research and Innovation Agency, ARRS, (J1-3010); The Slovenian Research and Innovation Agency, ARRS; Grantová Agentura České Republiky, GAČR, (GACR—24-11373S); Grantová Agentura České Republiky, GAČR; Japan Society for the Promotion of Science, JSPS, (JP21H05085, JP22KK0227, JP22H04944, JP22H01227); Japan Society for the Promotion of Science, JSPS; Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT, (1230987, 1190886, 1230812); Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT; European Research Council, ERC, (101089007, 948254); European Research Council, ERC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT, (CZ.02.01.01/00/22_008/0004632, PRIMUS/21/SCI/017); Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; DNSRC, (IN2P3-CNRS); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF, (RPG-2020-004, NIF-R1-231091, SNSF—PCEFP2_194658); Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Norges Forskningsråd, (RCN-314472); Norges Forskningsråd; National Natural Science Foundation of China, NSFC, (12275265, NSFC—12175119, NSFC-12075060); National Natural Science Foundation of China, NSFC; Vetenskapsrådet, VR, (VR 2022-04683, VR 2023-03403, 2021-03651, VR 2022-03845, 2023-04654, VR 2018-00482); Vetenskapsrådet, VR; FAIR-NextGenerationEU, (PE00000013); Narodowa Agencja Wymiany Akademickiej, NAWA, (PPN/PPO/2020/1/00002/U/00001); Narodowa Agencja Wymiany Akademickiej, NAWA; Knut och Alice Wallenbergs Stiftelse, (KAW 2018.0157, KAW 2018.0458, KAW 2019.0447, KAW 2022.0358); Knut och Alice Wallenbergs Stiftelse; U.S. Department of Energy, USDOE, (ECA DE-AC02-76SF00515); U.S. Department of Energy, USDOE; H2020 European Research Council, ERC, (ERC–101002463); H2020 European Research Council, ERC; Investissements d’Avenir Labex, (ANR-11-LABX-0012); North Dakota Game and Fish Department, (CC-IN2P3); North Dakota Game and Fish Department; Norwegian Financial Mechanism, (2014-2021); Ministero dell’Istruzione, dell’Università e della Ricerca, MIUR, (PRIN—20223N7F8K—PNRR M4.C2.1.1); Ministero dell’Istruzione, dell’Università e della Ricerca, MIUR; Narodowe Centrum Nauki, NCN, (2022/47/B/ST2/03059, UMO-2019/34/E/ST2/00393, 2021/42/E/ST2/00350, UMO-2023/49/B/ST2/04085, UMO-2022/47/O/ST2/00148, UMO-2021/40/C/ST2/00187, UMO-2020/37/B/ST2/01043); Narodowe Centrum Nauki, NCN; GenT Programmes Generalitat Valenciana, (CIDEGENT/2019/027, CIDEGENT/2019/023)en_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleSimultaneous Unbinned Differential Cross-Section Measurement of Twenty-Four (Formula Presented) Kinematic Observables With the Atlas Detectoren_US
dc.typeArticleen_US
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.volume133en_US
dc.identifier.issue26en_US
dc.authoridMazzeo, Elena/0000-0002-8406-0195-
dc.authoridAad, Georges/0000-0002-6665-4934-
dc.authoridNasella, Laura/0000-0002-4871-784X-
dc.authoridKonstantinidis, Nikolaos/0000-0002-4140-6360-
dc.authoridLomas, Josh/0000-0001-7456-494X-
dc.authoridButterworth, Jonathan/0000-0002-5905-5394-
dc.authoridCarbone, Antonio/0000-0002-4117-3800-
dc.identifier.wosWOS:001399984000001-
dc.identifier.scopus2-s2.0-85214126477-
dc.identifier.pmid39878999-
dc.identifier.doi10.1103/PhysRevLett.133.261803-
dc.authorscopusid57219359136-
dc.authorscopusid57209236018-
dc.authorscopusid59139968300-
dc.authorscopusid57724141800-
dc.authorscopusid57212470179-
dc.authorscopusid58708776800-
dc.authorscopusid57551581800-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
dc.identifier.wosqualityQ1-
dc.description.woscitationindexScience Citation Index Expanded-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.cerifentitytypePublications-
Appears in Collections:PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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