Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √𝑠=13  TeV with the ATLAS Detector

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Title:	Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at √𝑠=13 TeV with the ATLAS Detector
Authors :	Aad, G; ...; Bakoš, Evelin ; ...; Beemster, Laurentius Jacobus ; ...; Bogavac, Danijela; ...; Dimitrievska, A; ...; Jovicević, Jelena ; ...; Maksimović, Veljko ; ...; Mamuzic, Judita ; ...; Marjanovic, M; ...; Sijacki, Djordje; ...; Vranješ, Nenad ; Vranješ-Milosavljević, Marija ; ...; Živković, Lidija ; ...; (broj, koautora 2926);
Issue Date:	2024
Publication:	PHYSICAL REVIEW LETTERS
ISSN:	0031-9007 Physical Review Letters Search Idenfier
Type:	Article
Collation:	vol. 132 br. 8
DOI:	10.1103/PhysRevLett.132.081801
WoS-ID:	001190886300010
Scopus-ID:	2-s2.0-85186742137
URI:	https://enauka.gov.rs/handle/123456789/939655
Project:	NCN NAWA, Poland La Caixa Banking Foundation CERCA Programme Generalitat de Catalunya PROMETEO Generalitat Valenciana, Spain Gran Gustafssons Stiftelse, Sweden Royal Society Leverhulme Trust, United Kingdom NDGF (Denmark, Norway, Sweden) KIT/GridKA (Germany) INFN-CNAF (Italy) NL-T1 (Netherlands) , PIC (Spain) ASGC (Taiwan) BNL (USA)
Metadata source:	(Preuzeto iz Nasi u WoS)
M-category:	21aM21a

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