Artigo de periodico

Deep-learning based reconstruction of the shower maximum 𝑿max using the water-Cherenkov detectors of the Pierre Auger Observatory (2021)

• Authors:
  • Aab, A.
  • Arbeletche, Luan Bonneau
  • Catalani, Fernando
  • Souza, Vitor de
  • Lang, Rodrigo Guedes
  • Martínez-Huerta, Humberto
  • Armand, Johnnier Pérez
  • Carvalho Junior, Washington Rodrigues de
  • Santos, Edivaldo Moura
  • Peixoto, Carlos Jose Todero
• USP affiliated authors: CATALANI, FERNANDO - EEL ; SOUZA FILHO, LUIZ VITOR DE - IFSC ; SANTOS, EDIVALDO MOURA - IF ; PEIXOTO, CARLOS JOSÉ TODERO - EEL ; ARBELETCHE, LUAN BONNEAU - IFSC ; HUERTA, HUMBERTO MARTINEZ - IFSC ; LANG, RODRIGO GUEDES - IFSC ; ARMAND, JOHNNIER PÉREZ - IF ; CARVALHO JUNIOR, WASHINGTON RODRIGUES DE - IF
• Unidades: EEL; IFSC; IF
• DOI: 10.1088/1748-0221/16/07/P07019
• Subjects: FÍSICA DE ALTA ENERGIA; RAIOS CÓSMICOS
• Keywords: Data analysis; Pattern recognition; Cluster finding; Calibration and fitting methods; Large detector systems for particle and astroparticle physics; Particle identification methods
• Agências de fomento:
  • Financiado pela Agencia Nacional de Promoción Científica y Tecnológica
  • Financiado pelo Conicet, Argentina
  • Financiado pelo CNPq
  • Financiado pela FINEP
  • Financiado pela FAPERJ
  • Financiado pela FAPESP
  • Financiado pelo MCTI
  • Financiado pelo BMBF
  • Financiado pela DFG
  • Financiado pelo INAF
  • Financiado pelo Conacyt, México
  • Financiado pelo FEDER
• Language: Inglês
• Imprenta:
  • Publisher place: Bristol
  • Date published: 2021
• Source:
  • Título: Journal of Instrumentation
  • ISSN: 1748-0221
  • Volume/Número/Paginação/Ano: v. 16, n. 7, p. P07019-1-P07019-27, July 2021


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• 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: 10 maio 2026.

• 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/P07019

• NLM

  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 2026 maio 10 ] Available from: https://doi.org/10.1088/1748-0221/16/07/P07019

• Vancouver

  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 2026 maio 10 ] Available from: https://doi.org/10.1088/1748-0221/16/07/P07019

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