Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks (2025)
- Authors:
- USP affiliated authors: CATALANI, FERNANDO - EEL ; SOUZA FILHO, LUIZ VITOR DE - IFSC ; SANTOS, EDIVALDO MOURA - IF ; PEIXOTO, CARLOS JOSÉ TODERO - EEL ; OLIVEIRA, CAINÃ DE - IFSC
- Unidades: EEL; IFSC; IF
- DOI: 10.22323/1.501.0284
- Subjects: RAIOS GAMA; ASTROFÍSICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings of Science
- ISSN: 1824-8039
- Volume/Número/Paginação/Ano: v. 501, p. 284-1-284-14, Sept. 2025
- Conference titles: International Cosmic Ray Conference - ICRC
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
HAHN, Steffen et al. Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks. Proceedings of Science. Trieste: Escola de Engenharia de Lorena, Universidade de São Paulo. Disponível em: https://doi.org/10.22323/1.501.0284. Acesso em: 26 dez. 2025. , 2025 -
APA
Hahn, S., Catalani, F., Souza, V. de, Oliveira, C. de, Santos, E. M., & Peixoto, C. J. T. (2025). Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks. Proceedings of Science. Trieste: Escola de Engenharia de Lorena, Universidade de São Paulo. doi:10.22323/1.501.0284 -
NLM
Hahn S, Catalani F, Souza V de, Oliveira C de, Santos EM, Peixoto CJT. Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks [Internet]. Proceedings of Science. 2025 ; 501 284-1-284-14.[citado 2025 dez. 26 ] Available from: https://doi.org/10.22323/1.501.0284 -
Vancouver
Hahn S, Catalani F, Souza V de, Oliveira C de, Santos EM, Peixoto CJT. Reconstruction of the depth of the shower maximum of air showers with the SD-750 surface detector of the Pierre Auger Observatory using neural networks [Internet]. Proceedings of Science. 2025 ; 501 284-1-284-14.[citado 2025 dez. 26 ] Available from: https://doi.org/10.22323/1.501.0284 - The Pierre Auger Observatory open data
- Search for a diffuse flux of photons with energies above tens of PeV at the Pierre Auger Observatory
- Search for photons above 1018 eV by simultaneously measuring the atmospheric depth and the muon content of air showers at the Pierre Auger Observatory
- The scintillator surface detector of the Pierre Auger observatory
- Scaler rates from the Pierre Auger Observatory: a new proxy of solar activity
- A search for photons with energies above 2×1017eV using hybrid data from the low-energy extensions of the Pierre Auger Observatory
- Large-scale cosmic-ray anisotropies with 19 yr of data from the Pierre Auger Observatory
- Auger@TA: a collaborative approach to cross-calibrating the world’s largest cosmic ray observatories
- Inference of the mass composition of cosmic rays with energies from 10^18.5 to 10^20 eV using the Pierre Auger Observatory and deep learning
- Measurement of the depth of maximum of air-shower profiles with energies between 10^18.5 and 10^20 eV using the surface detector of the Pierre Auger Observatory and deep learning
Informações sobre o DOI: 10.22323/1.501.0284 (Fonte: oaDOI API)
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