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Filtros : "IF" "Cardona, Juan Carlos Zamora" "IME" Removidos: "Livro de Resumos" "2003" "Física do Estado Sólido" Limpar

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  • Artigo de periodico

    Simulation of the RIBRAS Facility with GEANT4 (2022)

    Tamayose, Leonardo Eiji ; Cardona, Juan Carlos Zamora ; Fortino, Guilherme Ferrari ; Flechas, D

    Source: Brazilian Journal of Physics. Unidades: IME, IF

    Assunto: CAMPO MAGNÉTICO

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

    • ABNT

      TAMAYOSE, Leonardo Eiji et al. Simulation of the RIBRAS Facility with GEANT4. Brazilian Journal of Physics, v. 52, 2022Tradução . . Disponível em: https://doi.org/10.1007/s13538-022-01090-y. Acesso em: 18 jun. 2024.

    • APA

      Tamayose, L. E., Cardona, J. C. Z., Fortino, G. F., & Flechas, D. (2022). Simulation of the RIBRAS Facility with GEANT4. Brazilian Journal of Physics, 52. doi:10.1007/s13538-022-01090-y

    • NLM

      Tamayose LE, Cardona JCZ, Fortino GF, Flechas D. Simulation of the RIBRAS Facility with GEANT4 [Internet]. Brazilian Journal of Physics. 2022 ; 52[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/s13538-022-01090-y

    • Vancouver

      Tamayose LE, Cardona JCZ, Fortino GF, Flechas D. Simulation of the RIBRAS Facility with GEANT4 [Internet]. Brazilian Journal of Physics. 2022 ; 52[citado 2024 jun. 18 ] Available from: https://doi.org/10.1007/s13538-022-01090-y

  • Artigo de periodico

    Digital signal analysis based on convolutional neural networks for active target time projection chambers (2022)

    Fortino, Guilherme Ferrari ; Cardona, Juan Carlos Zamora ; Tamayose, Leonardo Eiji ; Hirata, Nina Sumiko Tomita ; Guimarães, Valdir

    Source: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. Unidades: IME, IF

    Subjects: REDES NEURAIS, PROCESSAMENTO DE SINAIS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      FORTINO, Guilherme Ferrari et al. Digital signal analysis based on convolutional neural networks for active target time projection chambers. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, v. 1031, n. artigo 166497, p. 1-7, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.nima.2022.166497. Acesso em: 18 jun. 2024.

    • APA

      Fortino, G. F., Cardona, J. C. Z., Tamayose, L. E., Hirata, N. S. T., & Guimarães, V. (2022). Digital signal analysis based on convolutional neural networks for active target time projection chambers. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1031( artigo 166497), 1-7. doi:10.1016/j.nima.2022.166497

    • NLM

      Fortino GF, Cardona JCZ, Tamayose LE, Hirata NST, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2022 ; 1031( artigo 166497): 1-7.[citado 2024 jun. 18 ] Available from: https://doi.org/10.1016/j.nima.2022.166497

    • Vancouver

      Fortino GF, Cardona JCZ, Tamayose LE, Hirata NST, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2022 ; 1031( artigo 166497): 1-7.[citado 2024 jun. 18 ] Available from: https://doi.org/10.1016/j.nima.2022.166497
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