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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
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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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] Available from: https://doi.org/10.1007/s13538-022-01090-y
Relatorio tecnico
Simulation of the RIBRAS facility with GEANT4 (2022)
Tamayose, Leonardo Eiji ; Flechas, D.; Zamora, J. C. ; Fortino, Guilherme Ferrari
Unidade: IF
Subjects: ESPECTROMETRIA, FEIXES ÓPTICOS
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ABNT
TAMAYOSE, Leonardo Eiji et al. Simulation of the RIBRAS facility with GEANT4. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2202.07180.pdf. Acesso em: 30 abr. 2024. , 2022
APA
Tamayose, L. E., Flechas, D., Zamora, J. C., & Fortino, G. F. (2022). Simulation of the RIBRAS facility with GEANT4. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2202.07180.pdf
NLM
Tamayose LE, Flechas D, Zamora JC, Fortino GF. Simulation of the RIBRAS facility with GEANT4 [Internet]. 2022 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2202.07180.pdf
Vancouver
Tamayose LE, Flechas D, Zamora JC, Fortino GF. Simulation of the RIBRAS facility with GEANT4 [Internet]. 2022 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2202.07180.pdf
Relatorio tecnico
Digital signal analysis based on convolutional neural networks for active target time projection chambers (2022)
Fortino, Guilherme Ferrari ; Zamora, J. C. ; Tamayose, Leonardo Eiji ; Guimarães, Valdir
Unidade: IF
Subjects: REDES NEURAIS, ESTRUTURAS DE DADOS
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ABNT
FORTINO, Guilherme Ferrari et al. Digital signal analysis based on convolutional neural networks for active target time projection chambers. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2202.12941.pdf. Acesso em: 30 abr. 2024. , 2022
APA
Fortino, G. F., Zamora, J. C., Tamayose, L. E., & Guimarães, V. (2022). Digital signal analysis based on convolutional neural networks for active target time projection chambers. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2202.12941.pdf
NLM
Fortino GF, Zamora JC, Tamayose LE, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. 2022 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2202.12941.pdf
Vancouver
Fortino GF, Zamora JC, Tamayose LE, Guimarães V. Digital signal analysis based on convolutional neural networks for active target time projection chambers [Internet]. 2022 ;[citado 2024 abr. 30 ] Available from: https://arxiv.org/pdf/2202.12941.pdf
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
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: 30 abr. 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 abr. 30 ] 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 abr. 30 ] Available from: https://doi.org/10.1016/j.nima.2022.166497

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