Application of deep learning for the reconstruction of the depht of shower maximum using the surface detector of the Pierre Auger Observatory (2022)
- Autor:
- Autor USP: ARBELETCHE, LUAN BONNEAU - IFSC
- Unidade: IFSC
- Subjects: OBSERVATÓRIOS; APRENDIZADO COMPUTACIONAL; FÍSICA DE ALTA ENERGIA
- Language: Inglês
- Imprenta:
- Publisher: Sociedade Brasileira de Física - SBF
- Publisher place: São Paulo
- Date published: 2022
- Source:
- Título do periódico: Program
- Conference titles: Encontro de Primavera da Sociedade Brasileira de Física - EPSBF
-
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: 18 abr. 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.pdf -
NLM
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 abr. 18 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf -
Vancouver
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 abr. 18 ] Available from: https://sec.sbfisica.org.br/eventos/enfpc_rtfnb/2022/sys/resumos/R0176-2.pdf - Simulation of extensive air showers and its detection
- Simulation of extensive air showers and its detection
- Effect of the uncertainty in the hadronic interaction models on the estimation of the sensitivity of the Cherenkov telescope array
- Parametrization of the angular distribution of Cherenkov light in air showers
- Parametrization of Xmax distributions in the ultra-high energy regime
- Influence of uncertainty in hadronic interaction models on the sensitivity estimation of Cherenkov Telescope Array
- Simulation and data analysis in astroparticle physics
- On the parametrization of the distributions of depth of shower maximum of ultra-high energy extensive air showers
- Studies on extensive air shower observables
- Extreme fluctuations of extensive air showers as a probe of mass composition and hadronic interactions at ultra-high energies
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