Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector (2024)
- Authors:
- USP affiliated authors: DONADELLI, MARISÍLVIA - IF ; LEITE, MARCO AURELIO LISBOA - IF
- Unidade: IF
- DOI: https://doi.org/10.1103/PhysRevLett.132.081801
- Subjects: COLISÕES; INTERAÇÕES NUCLEARES
- Keywords: HYPOTHETICAL PARTICLES; HADRON COLLIDERS; MACHINE LEARNING; PARTICLE DATA ANALYSIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: The Society
- Publisher place: Woodbury
- Date published: 2024
- Source:
- Título do periódico: Physical Review Letters
- Volume/Número/Paginação/Ano: V. 132, 081801, 20 February 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
AAD, G e DONADELLI, Marisilvia e LEITE, Marco Aurelio Lisboa. Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector. Physical Review Letters, 2024Tradução . . Disponível em: https://doi.org/10.1103/PhysRevLett.132.081801. Acesso em: 05 maio 2024. -
APA
Aad, G., Donadelli, M., & Leite, M. A. L. (2024). Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector. Physical Review Letters. doi:https://doi.org/10.1103/PhysRevLett.132.081801 -
NLM
Aad G, Donadelli M, Leite MAL. Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector [Internet]. Physical Review Letters. 2024 ;[citado 2024 maio 05 ] Available from: https://doi.org/10.1103/PhysRevLett.132.081801 -
Vancouver
Aad G, Donadelli M, Leite MAL. Search for New Phenomena in Two-Body Invariant Mass Distributions Using Unsupervised Machine Learning for Anomaly Detection at ffiffi s p =13TeV with the ATLAS Detector [Internet]. Physical Review Letters. 2024 ;[citado 2024 maio 05 ] Available from: https://doi.org/10.1103/PhysRevLett.132.081801 - Visitas Virtuais aos Experimentos ATLAS e CMS, no CERN: a tecnologia reduzindo desigualdades e levando estudantes e professores aos maiores experimentos da atualidade
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- Search for dijet resonances in events with an isolated charged lepton using 's POT. 1/2'= 13 TeV proton–proton collision data collected by the ATLAS detector
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- Search for a heavy higgs boson decaying into a Z boson and another heavy higgs boson in the ℓℓbb and ℓℓbb final states in p p collisions at 's POT. 1/2'= 13 TeV with the ATLAS detector
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- Muon reconstruction and identification efficiency in ATLAS using the full run 2 p p collision data set at 's POT.1/2'= 13 TeV
- Measurement of light-by-light scattering and search for axion-like particles with 2.2 'nb POT.−1' of 'PB'+'PB' data with the ATLAS detector
- Reconstruction and identification of boosted di-'tau' systems in a search for higgs boson pairs using 13 TeV proton–proton collision data in ATLAS
Informações sobre o DOI: https://doi.org/10.1103/PhysRevLett.132.081801 (Fonte: oaDOI API)
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