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eNauka >  Results >  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
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; ...;
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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