Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11522
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dc.contributor.authorAad, G.-
dc.contributor.authorAbbott, B.-
dc.contributor.authorAbbott, D.C.-
dc.contributor.authorAbed, Abud, A.-
dc.contributor.authorAbeling, K.-
dc.contributor.authorAbhayasinghe, D.K.-
dc.contributor.authorAbidi, S.H.-
dc.date.accessioned2024-04-20T13:35:43Z-
dc.date.available2024-04-20T13:35:43Z-
dc.date.issued2024-
dc.identifier.issn0031-9007-
dc.identifier.urihttps://doi.org/10.1103/PhysRevLett.132.081801-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11522-
dc.description.abstractSearches for new resonances are performed using an unsupervised anomaly-detection technique. Events with at least one electron or muon are selected from 140 fb−1 of pp collisions at √s ¼ 13 TeV recorded by ATLAS at the Large Hadron Collider. The approach involves training an autoencoder on data, and subsequently defining anomalous regions based on the reconstruction loss of the decoder. Studies focus on nine invariant mass spectra that contain pairs of objects consisting of one light jet or b jet and either one lepton (e; μ), photon, or second light jet or b jet in the anomalous regions. No significant deviations from the background hypotheses are observed. Limits on contributions from generic Gaussian signals with various widths of the resonance mass are obtained for nine invariant masses in the anomalous regions. © 2024 CERN, for the ATLAS Collaboration.en_US
dc.description.sponsorshipIN2P3-CNRS; CC-IN2P3; 2014-2021; SCI/013; U.S. Department of Energy, USDOE; Alexander von Humboldt-Stiftung, AvH; Alabama Space Grant Consortium, ASGC; Brookhaven National Laboratory, BNL; CRC Health Group, CRC: 21/SCI/017; CRC Health Group, CRC; Canarie; Karlsruhe Institute of Technology, KIT; H2020 Marie Skłodowska-Curie Actions, MSCA; Multiple Sclerosis Scientific Research Foundation, MSSRF; CERN; Compute Canada; Göran Gustafssons Stiftelser; Natural Sciences and Engineering Research Council of Canada, NSERC; National Research Council Canada, NRC; Canada Foundation for Innovation, CFI; Science and Technology Facilities Council, STFC; Leverhulme Trust; European Research Council, ERC; European Cooperation in Science and Technology, COST; Australian Research Council, ARC; National Stroke Foundation, NSF; Neurosurgical Research Foundation, NRF; Helmholtz-Gemeinschaft, HGF; Minerva Foundation; Deutsche Forschungsgemeinschaft, DFG; Agence Nationale de la Recherche, ANR; Japan Society for the Promotion of Science, JSPS; Ministry of Education, Culture, Sports, Science and Technology, MEXT; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, SNF; Danmarks Grundforskningsfond, DNRF; Fundação de Amparo à Pesquisa do Estado de São Paulo, FAPESP; National Natural Science Foundation of China, NSFC; Ministerstvo Školství, Mládeže a Tělovýchovy, MŠMT; Fundação para a Ciência e a Tecnologia, FCT; Bundesministerium für Bildung und Forschung, BMBF; Chinese Academy of Sciences, CAS; Austrian Science Fund, FWF; Generalitat de Catalunya; Ministry of Science and Technology of the People's Republic of China, MOST; Agencia Nacional de Promoción Científica y Tecnológica, ANPCyT; Nederlandse Organisatie voor Wetenschappelijk Onderzoek, NWO; Bundesministerium für Wissenschaft, Forschung und Wirtschaft, BMWFW; Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq; Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science; Israel Science Foundation, ISF; Instituto Nazionale di Fisica Nucleare, INFN; Narodowe Centrum Nauki, NCN; Javna Agencija za Raziskovalno Dejavnost RS, ARRS; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja, MPNTR; Ministerio de Ciencia e Innovación, MCIN; Centre National pour la Recherche Scientifique et Technique, CNRST; Staatssekretariat für Bildung, Forschung und Innovation, SBFI; British Columbia Knowledge Development Fund, BCKDF; European Regional Development Fund, ERDF; Defence Science Institute, DSI; Narodowa Agencja Wymiany Akademickiej, NAWA; Institutul de Fizică Atomică, IFA; Agencia Nacional de Investigación y Desarrollo, ANID; Royal Society of South Australia, RSSA; Irish Rugby Football Union, IRFUen_US
dc.language.isoenen_US
dc.publisherAmerican Physical Societyen_US
dc.relation.ispartofPhysical Review Lettersen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAnomaly detectionen_US
dc.subjectMachine learningen_US
dc.subjectTellurium compoundsen_US
dc.subjectAnomalous regionsen_US
dc.subjectAnomaly detectionen_US
dc.subjectATLAS detectorsen_US
dc.subjectAuto encodersen_US
dc.subjectInvariant mass distributionen_US
dc.subjectLarge Hadron Collideren_US
dc.subjectLarge-hadron collidersen_US
dc.subjectRegion-baseden_US
dc.subjectUnsupervised anomaly detectionen_US
dc.subjectUnsupervised machine learningen_US
dc.subjectMass spectrometryen_US
dc.subjectarticleen_US
dc.subjecthumanen_US
dc.subjectoutlier detectionen_US
dc.subjectunsupervised machine learningen_US
dc.titleSearch for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √s = 13 Tev With the Atlas Detectoren_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.volume132en_US
dc.identifier.issue8en_US
dc.identifier.wosWOS:001190886300010en_US
dc.identifier.scopus2-s2.0-85186742137en_US
dc.institutionauthor-
dc.identifier.pmid38457710en_US
dc.identifier.doi10.1103/PhysRevLett.132.081801-
dc.authorscopusid58839046100-
dc.authorscopusid58837289100-
dc.authorscopusid58891925800-
dc.authorscopusid57208907456-
dc.authorscopusid58837541700-
dc.authorscopusid58920355000-
dc.authorscopusid58838293400-
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: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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