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  • Source: Physical Review D. Unidades: EEL, IFSC, IF

    Subjects: RAIOS CÓSMICOS, APRENDIZAGEM PROFUNDA, ASTROFÍSICA, OBSERVATÓRIOS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      HALIM, Adila Binti Abdul et al. 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. Physical Review D, v. 111, n. Ja 2025, p. 022003-1-022003-30, 2025Tradução . . Disponível em: https://doi.org/10.1103/PhysRevD.111.022003. Acesso em: 08 out. 2025.
    • APA

      Halim, A. B. A., Catalani, F., Souza, V. de, Santos, E. M., Oliveira, C. de, & Peixoto, C. J. T. (2025). 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. Physical Review D, 111( Ja 2025), 022003-1-022003-30. doi:10.1103/PhysRevD.111.022003
    • NLM

      Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. 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 [Internet]. Physical Review D. 2025 ; 111( Ja 2025): 022003-1-022003-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevD.111.022003
    • Vancouver

      Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. 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 [Internet]. Physical Review D. 2025 ; 111( Ja 2025): 022003-1-022003-30.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevD.111.022003
  • Source: Physical Review Letters. Unidades: EEL, IFSC, IF

    Subjects: RAIOS CÓSMICOS, APRENDIZAGEM PROFUNDA, ASTROFÍSICA, OBSERVATÓRIOS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      HALIM, Adila Binti Abdul et al. 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. Physical Review Letters, v. 134, n. Ja 2025, p. 021001-1-021001-10, 2025Tradução . . Disponível em: https://doi.org/10.1103/PhysRevLett.134.021001. Acesso em: 08 out. 2025.
    • APA

      Halim, A. B. A., Catalani, F., Souza, V. de, Santos, E. M., Oliveira, C. de, & Peixoto, C. J. T. (2025). 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. Physical Review Letters, 134( Ja 2025), 021001-1-021001-10. doi:10.1103/PhysRevLett.134.021001
    • NLM

      Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. 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 [Internet]. Physical Review Letters. 2025 ; 134( Ja 2025): 021001-1-021001-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevLett.134.021001
    • Vancouver

      Halim ABA, Catalani F, Souza V de, Santos EM, Oliveira C de, Peixoto CJT. 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 [Internet]. Physical Review Letters. 2025 ; 134( Ja 2025): 021001-1-021001-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1103/PhysRevLett.134.021001

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