Source: The European Physical Journal C. Unidade: IF
Subjects: COLISÕES, INTERAÇÕES NUCLEARES
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. The European Physical Journal C, p. 1-29, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjc/s10052-024-12471-9. Acesso em: 15 out. 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. The European Physical Journal C, 1-29. doi:10.1140/epjc/s10052-024-12471-9NLM
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]. The European Physical Journal C. 2024 ; 1-29.[citado 2024 out. 15 ] Available from: https://doi.org/10.1140/epjc/s10052-024-12471-9Vancouver
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]. The European Physical Journal C. 2024 ; 1-29.[citado 2024 out. 15 ] Available from: https://doi.org/10.1140/epjc/s10052-024-12471-9