Fonte: Journal of Instrumentation. Unidades: EEL, IFSC, IF
Assuntos: FÍSICA DE ALTA ENERGIA, RAIOS CÓSMICOS
ABNT
AAB, A. et al. Deep-learning based reconstruction of the shower maximum 𝑿max using the water-Cherenkov detectors of the Pierre Auger Observatory. Journal of Instrumentation, v. 16, n. 7, p. P07019-1-P07019-27, 2021Tradução . . Disponível em: https://doi.org/10.1088/1748-0221/16/07/P07019. Acesso em: 19 ago. 2024.APA
Aab, A., Arbeletche, L. B., Catalani, F., Souza, V. de, Lang, R. G., Martínez-Huerta, H., et al. (2021). Deep-learning based reconstruction of the shower maximum 𝑿max using the water-Cherenkov detectors of the Pierre Auger Observatory. Journal of Instrumentation, 16( 7), P07019-1-P07019-27. doi:10.1088/1748-0221/16/07/P07019NLM
Aab A, Arbeletche LB, Catalani F, Souza V de, Lang RG, Martínez-Huerta H, Armand JP, Carvalho Junior WR de, Santos EM, Peixoto CJT. Deep-learning based reconstruction of the shower maximum 𝑿max using the water-Cherenkov detectors of the Pierre Auger Observatory [Internet]. Journal of Instrumentation. 2021 ; 16( 7): P07019-1-P07019-27.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1088/1748-0221/16/07/P07019Vancouver
Aab A, Arbeletche LB, Catalani F, Souza V de, Lang RG, Martínez-Huerta H, Armand JP, Carvalho Junior WR de, Santos EM, Peixoto CJT. Deep-learning based reconstruction of the shower maximum 𝑿max using the water-Cherenkov detectors of the Pierre Auger Observatory [Internet]. Journal of Instrumentation. 2021 ; 16( 7): P07019-1-P07019-27.[citado 2024 ago. 19 ] Available from: https://doi.org/10.1088/1748-0221/16/07/P07019