Source: Program. Conference titles: Encontro de Primavera da Sociedade Brasileira de Física - EPSBF. Unidade: IFSC
Subjects: OBSERVATÓRIOS, APRENDIZADO COMPUTACIONAL, FÍSICA DE ALTA ENERGIA
ABNT
ARBELETCHE, Luan Bonneau. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory. 2022, Anais.. São Paulo: Sociedade Brasileira de Física - SBF, 2022. Disponível em: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf. Acesso em: 12 maio 2024.APA
Arbeletche, L. B. (2022). Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory. In Program. São Paulo: Sociedade Brasileira de Física - SBF. Recuperado de https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdfNLM
Arbeletche LB. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory [Internet]. Program. 2022 ;[citado 2024 maio 12 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdfVancouver
Arbeletche LB. Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory [Internet]. Program. 2022 ;[citado 2024 maio 12 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf