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TORREJÓN, Tania Elizabeth Medina e PINO, Elisabete Maria de Gouveia Dal e KOWAL, Grzegorz. Particle acceleration by magnetic reconnection in relativistic jets: the transition from small to large scales. The Astrophysical Journal, v. 952, n. 2, p. 01-11, 2023Tradução . . Disponível em: https://doi.org/10.3847/1538-4357/acd699. Acesso em: 27 jun. 2024.
APA
Torrejón, T. E. M., Pino, E. M. de G. D., & Kowal, G. (2023). Particle acceleration by magnetic reconnection in relativistic jets: the transition from small to large scales. The Astrophysical Journal, 952( 2), 01-11. doi:10.3847/1538-4357/acd699
NLM
Torrejón TEM, Pino EM de GD, Kowal G. Particle acceleration by magnetic reconnection in relativistic jets: the transition from small to large scales [Internet]. The Astrophysical Journal. 2023 ; 952( 2): 01-11.[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/acd699
Vancouver
Torrejón TEM, Pino EM de GD, Kowal G. Particle acceleration by magnetic reconnection in relativistic jets: the transition from small to large scales [Internet]. The Astrophysical Journal. 2023 ; 952( 2): 01-11.[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/acd699
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ACERO, Fabio et al. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants. Astroparticle Physics, v. 150, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.astropartphys.2023.102850. Acesso em: 27 jun. 2024.
APA
Acero, F., Catalani, F., Dal Pino, E. M. de G., Souza, V. de, Gonçalves, D. A. F., Silva, R. N. da, et al. (2023). Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants. Astroparticle Physics, 150. doi:10.1016/j.astropartphys.2023.102850
NLM
Acero F, Catalani F, Dal Pino EM de G, Souza V de, Gonçalves DAF, Silva RN da, Pereira LAS, Viana A. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants [Internet]. Astroparticle Physics. 2023 ; 150[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.astropartphys.2023.102850
Vancouver
Acero F, Catalani F, Dal Pino EM de G, Souza V de, Gonçalves DAF, Silva RN da, Pereira LAS, Viana A. Sensitivity of the Cherenkov Telescope Array to spectral signatures of hadronic PeVatrons with application to Galactic Supernova Remnants [Internet]. Astroparticle Physics. 2023 ; 150[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.astropartphys.2023.102850
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LÓPEZ-SANJUAN, C et al. The miniJPAS survey: White dwarf science with 56 optical filters. Astronomy & Astrophysics, v. 665, 2022Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202243584. Acesso em: 27 jun. 2024.
APA
López-Sanjuan, C., Abramo, L. R. W., Sodré Júnior, L., & Oliveira, C. L. M. de. (2022). The miniJPAS survey: White dwarf science with 56 optical filters. Astronomy & Astrophysics, 665. doi:10.1051/0004-6361/202243584
NLM
López-Sanjuan C, Abramo LRW, Sodré Júnior L, Oliveira CLM de. The miniJPAS survey: White dwarf science with 56 optical filters [Internet]. Astronomy & Astrophysics. 2022 ; 665[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202243584
Vancouver
López-Sanjuan C, Abramo LRW, Sodré Júnior L, Oliveira CLM de. The miniJPAS survey: White dwarf science with 56 optical filters [Internet]. Astronomy & Astrophysics. 2022 ; 665[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202243584
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MARTÍNEZ-SOLAECHE, G. et al. The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field. Astronomy & Astrophysics, v. 661, p. 21, 2022Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202142812. Acesso em: 27 jun. 2024.
APA
Martínez-Solaeche, G., Abramo, L. R., Sodré Jr., L., Ederoclite, A., & Oliveira, C. M. de. (2022). The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field. Astronomy & Astrophysics, 661, 21. doi:10.1051/0004-6361/202142812
NLM
Martínez-Solaeche G, Abramo LR, Sodré Jr. L, Ederoclite A, Oliveira CM de. The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field [Internet]. Astronomy & Astrophysics. 2022 ; 661 21.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202142812
Vancouver
Martínez-Solaeche G, Abramo LR, Sodré Jr. L, Ederoclite A, Oliveira CM de. The miniJPAS survey: Identification and characterization of the emission line galaxies down to z < 0.35 in the AEGIS field [Internet]. Astronomy & Astrophysics. 2022 ; 661 21.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202142812
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LIMA, Erik Rodrigues de et al. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?. Astronomy and Computing, v. 38, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ascom.2021.100510. Acesso em: 27 jun. 2024.
APA
Lima, E. R. de, Sodre Junior, L., Nakazono, L., Buzzo, M. L., Silva, C. Q. de A., & Herpich, F. R. (2022). Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? Astronomy and Computing, 38. doi:10.1016/j.ascom.2021.100510
NLM
Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
Vancouver
Lima ER de, Sodre Junior L, Nakazono L, Buzzo ML, Silva CQ de A, Herpich FR. Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task? [Internet]. Astronomy and Computing. 2022 ; 38[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.ascom.2021.100510
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ESPINOZA-GALEAS, David e CORCORAN, Michael e DAMINELI NETO, Augusto. NICER x-ray observations of Eta Carinae during Its most recent periastron passage. Astrophysical Journal, v. 933, p. 136, 2022Tradução . . Disponível em: https://doi.org/10.3847/1538-4357/ac69ce. Acesso em: 27 jun. 2024.
APA
Espinoza-Galeas, D., Corcoran, M., & Damineli Neto, A. (2022). NICER x-ray observations of Eta Carinae during Its most recent periastron passage. Astrophysical Journal, 933, 136. doi:10.3847/1538-4357/ac69ce
NLM
Espinoza-Galeas D, Corcoran M, Damineli Neto A. NICER x-ray observations of Eta Carinae during Its most recent periastron passage [Internet]. Astrophysical Journal. 2022 ; 933 136.[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/ac69ce
Vancouver
Espinoza-Galeas D, Corcoran M, Damineli Neto A. NICER x-ray observations of Eta Carinae during Its most recent periastron passage [Internet]. Astrophysical Journal. 2022 ; 933 136.[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/ac69ce
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MEDINA-TORREJON, Tania et al. Particle Acceleration by Relativistic Magnetic Reconnection Driven by Kink Instability Turbulence in Poynting Flux–Dominated Jets. Astrophysical Journal, v. 908, n. 2, 2021Tradução . . Disponível em: https://doi.org/10.3847/1538-4357/abd6c2. Acesso em: 27 jun. 2024.
APA
Medina-Torrejon, T., Dal Pino, E. de G., Kadowaki, L. H. S., Kowal, G., Singh, C. B., & Mizuno, Y. (2021). Particle Acceleration by Relativistic Magnetic Reconnection Driven by Kink Instability Turbulence in Poynting Flux–Dominated Jets. Astrophysical Journal, 908( 2). doi:10.3847/1538-4357/abd6c2
NLM
Medina-Torrejon T, Dal Pino E de G, Kadowaki LHS, Kowal G, Singh CB, Mizuno Y. Particle Acceleration by Relativistic Magnetic Reconnection Driven by Kink Instability Turbulence in Poynting Flux–Dominated Jets [Internet]. Astrophysical Journal. 2021 ; 908( 2):[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/abd6c2
Vancouver
Medina-Torrejon T, Dal Pino E de G, Kadowaki LHS, Kowal G, Singh CB, Mizuno Y. Particle Acceleration by Relativistic Magnetic Reconnection Driven by Kink Instability Turbulence in Poynting Flux–Dominated Jets [Internet]. Astrophysical Journal. 2021 ; 908( 2):[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/abd6c2
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BONOLI, Silvia et al. Dissecting quasars with the J-PAS narrow-band photometric survey. Proceedings of the International Astronomical Union, v. 15 , 2021Tradução . . Disponível em: https://doi.org/10.1017/S1743921320002483. Acesso em: 27 jun. 2024.
APA
Bonoli, S., Abramo, L. R., Ederoclite, A., Oliveira, C. M. de, & Sodre Junior, L. (2021). Dissecting quasars with the J-PAS narrow-band photometric survey. Proceedings of the International Astronomical Union, 15 . doi:10.1017/S1743921320002483
NLM
Bonoli S, Abramo LR, Ederoclite A, Oliveira CM de, Sodre Junior L. Dissecting quasars with the J-PAS narrow-band photometric survey [Internet]. Proceedings of the International Astronomical Union. 2021 ; 15 [citado 2024 jun. 27 ] Available from: https://doi.org/10.1017/S1743921320002483
Vancouver
Bonoli S, Abramo LR, Ederoclite A, Oliveira CM de, Sodre Junior L. Dissecting quasars with the J-PAS narrow-band photometric survey [Internet]. Proceedings of the International Astronomical Union. 2021 ; 15 [citado 2024 jun. 27 ] Available from: https://doi.org/10.1017/S1743921320002483
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DELGADO, R. M. González et al. The mini JPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. Astronomy and Astrophysics, v. 649, p. 26, 2021Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202039849. Acesso em: 27 jun. 2024.
APA
Delgado, R. M. G., Coelho, P. R. T., Abramo, L. R., Sodré Jr., L., Ederoclite, A., & Oliveira, C. M. de. (2021). The mini JPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. Astronomy and Astrophysics, 649, 26. doi:10.1051/0004-6361/202039849
NLM
Delgado RMG, Coelho PRT, Abramo LR, Sodré Jr. L, Ederoclite A, Oliveira CM de. The mini JPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. Astronomy and Astrophysics. 2021 ; 649 26.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202039849
Vancouver
Delgado RMG, Coelho PRT, Abramo LR, Sodré Jr. L, Ederoclite A, Oliveira CM de. The mini JPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. Astronomy and Astrophysics. 2021 ; 649 26.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202039849
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GONZÁLEZ DELGADO, Rosa M et al. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2102.13121.pdf. Acesso em: 27 jun. 2024. , 2021
APA
González Delgado, R. M., Silva, C. Q. de A., Abramo, L. R. W., Oliveira, C. L. M. de, Ederoclite, A., Sodre Junior, L., & Coelho, P. R. T. (2021). The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2102.13121.pdf
NLM
González Delgado RM, Silva CQ de A, Abramo LRW, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. 2021 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2102.13121.pdf
Vancouver
González Delgado RM, Silva CQ de A, Abramo LRW, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: Identification and characterization of galaxy populations with the J-PAS photometric system [Internet]. 2021 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2102.13121.pdf
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BONOLI, S et al. The miniJPAS survey: a preview of the Universe in 56 colours. v. 653, 2021Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202038841. Acesso em: 27 jun. 2024.
APA
Bonoli, S., Silva, C. Q. de A., Abramo, L. R. W., Abdalla, E., Oliveira, C. L. M. de, Ederoclite, A., et al. (2021). The miniJPAS survey: a preview of the Universe in 56 colours, 653. doi:10.1051/0004-6361/202038841
NLM
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2021 ; 653[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202038841
Vancouver
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2021 ; 653[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202038841
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BAQUI, P. O. et al. The miniJPAS survey: star-galaxy classification using machine learning. Astronomy & Astrophysics, v. 645, 2021Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202038986. Acesso em: 27 jun. 2024.
APA
Baqui, P. O., Silva, C. Q. de A., Abramo, L. R., Oliveira, C. M. de, Ederoclite, A., & Sodre Junior, L. (2021). The miniJPAS survey: star-galaxy classification using machine learning. Astronomy & Astrophysics, 645. doi:10.1051/0004-6361/202038986
NLM
Baqui PO, Silva CQ de A, Abramo LR, Oliveira CM de, Ederoclite A, Sodre Junior L. The miniJPAS survey: star-galaxy classification using machine learning [Internet]. Astronomy & Astrophysics. 2021 ; 645[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202038986
Vancouver
Baqui PO, Silva CQ de A, Abramo LR, Oliveira CM de, Ederoclite A, Sodre Junior L. The miniJPAS survey: star-galaxy classification using machine learning [Internet]. Astronomy & Astrophysics. 2021 ; 645[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202038986
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MARTÍNEZ-SOLAECHE, Ginés et al. J-PAS: Measuring emission lines with artificial neural networks. Astronomy and Astrophysics, v. 647, n. A&A, p. 19, 2021Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202039146. Acesso em: 27 jun. 2024.
APA
Martínez-Solaeche, G., Abramo, L. R., Ederoclite, A., Oliveira, C. M. de, & Sodré Jr., L. (2021). J-PAS: Measuring emission lines with artificial neural networks. Astronomy and Astrophysics, 647( A&A), 19. doi:10.1051/0004-6361/202039146
NLM
Martínez-Solaeche G, Abramo LR, Ederoclite A, Oliveira CM de, Sodré Jr. L. J-PAS: Measuring emission lines with artificial neural networks [Internet]. Astronomy and Astrophysics. 2021 ; 647( A&A): 19.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202039146
Vancouver
Martínez-Solaeche G, Abramo LR, Ederoclite A, Oliveira CM de, Sodré Jr. L. J-PAS: Measuring emission lines with artificial neural networks [Internet]. Astronomy and Astrophysics. 2021 ; 647( A&A): 19.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1051/0004-6361/202039146
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KADOWAKI, Luis H. S. et al. Fast Magnetic Reconnection Structures in Poynting Flux-dominated Jets. Astrophysical Journal, v. 912, n. 2, 2021Tradução . . Disponível em: https://doi.org/10.3847/1538-4357/abee7a. Acesso em: 27 jun. 2024.
APA
Kadowaki, L. H. S., Dal Pino, E. de G., Torrejón, T. M., Mizuno, Y., & Kushwaha, P. (2021). Fast Magnetic Reconnection Structures in Poynting Flux-dominated Jets. Astrophysical Journal, 912( 2). doi:10.3847/1538-4357/abee7a
NLM
Kadowaki LHS, Dal Pino E de G, Torrejón TM, Mizuno Y, Kushwaha P. Fast Magnetic Reconnection Structures in Poynting Flux-dominated Jets [Internet]. Astrophysical Journal. 2021 ; 912( 2):[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/abee7a
Vancouver
Kadowaki LHS, Dal Pino E de G, Torrejón TM, Mizuno Y, Kushwaha P. Fast Magnetic Reconnection Structures in Poynting Flux-dominated Jets [Internet]. Astrophysical Journal. 2021 ; 912( 2):[citado 2024 jun. 27 ] Available from: https://doi.org/10.3847/1538-4357/abee7a
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PALA, A F e EDEROCLITE, Alessandro. The Compact binary HIgh CAdence Survey (CHiCaS): an overview. Advances in Space Research, v. 66, p. 1235-1246, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.asr.2020.05.033. Acesso em: 27 jun. 2024.
APA
PaLa, A. F., & Ederoclite, A. (2020). The Compact binary HIgh CAdence Survey (CHiCaS): an overview. Advances in Space Research,, 66, 1235-1246. doi:10.1016/j.asr.2020.05.033
NLM
PaLa AF, Ederoclite A. The Compact binary HIgh CAdence Survey (CHiCaS): an overview [Internet]. Advances in Space Research,. 2020 ;66 1235-1246.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.asr.2020.05.033
Vancouver
PaLa AF, Ederoclite A. The Compact binary HIgh CAdence Survey (CHiCaS): an overview [Internet]. Advances in Space Research,. 2020 ;66 1235-1246.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1016/j.asr.2020.05.033
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CARVALHO, E. de et al. Baryon acoustic oscillations signature in the three-point angular correlation function from the SDSS-DR12 quasar survey. Monthly Notices of the Royal Astronomical Society, v. 492, n. 3, p. 4469-4476, 2020Tradução . . Disponível em: https://doi.org/10.1093/mnras/staa119. Acesso em: 27 jun. 2024.
APA
Carvalho, E. de, Bernui, A., Xavier, H. S., & Novaes, C. P. (2020). Baryon acoustic oscillations signature in the three-point angular correlation function from the SDSS-DR12 quasar survey. Monthly Notices of the Royal Astronomical Society, 492( 3), 4469-4476. doi:10.1093/mnras/staa119
NLM
Carvalho E de, Bernui A, Xavier HS, Novaes CP. Baryon acoustic oscillations signature in the three-point angular correlation function from the SDSS-DR12 quasar survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2020 ; 492( 3): 4469-4476.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1093/mnras/staa119
Vancouver
Carvalho E de, Bernui A, Xavier HS, Novaes CP. Baryon acoustic oscillations signature in the three-point angular correlation function from the SDSS-DR12 quasar survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2020 ; 492( 3): 4469-4476.[citado 2024 jun. 27 ] Available from: https://doi.org/10.1093/mnras/staa119
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BAQUI, P. O. et al. The miniJPAS survey: star-galaxy classification using machine learning. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2007.07622.pdf. Acesso em: 27 jun. 2024. , 2020
APA
Baqui, P. O., Silva, C. Q. de A., Abramo, L. R., Oliveira, C. M. de, Ederoclite, A., & Sodre Junior, L. (2020). The miniJPAS survey: star-galaxy classification using machine learning. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2007.07622.pdf
NLM
Baqui PO, Silva CQ de A, Abramo LR, Oliveira CM de, Ederoclite A, Sodre Junior L. The miniJPAS survey: star-galaxy classification using machine learning [Internet]. 2020 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2007.07622.pdf
Vancouver
Baqui PO, Silva CQ de A, Abramo LR, Oliveira CM de, Ederoclite A, Sodre Junior L. The miniJPAS survey: star-galaxy classification using machine learning [Internet]. 2020 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2007.07622.pdf
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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BONOLI, S et al. The miniJPAS survey: a preview of the Universe in 56 colours. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2007.01910.pdf. Acesso em: 27 jun. 2024. , 2020
APA
Bonoli, S., Silva, C. Q. de A., Abramo, L. R. W., Abdalla, E., Oliveira, C. L. M. de, Ederoclite, A., et al. (2020). The miniJPAS survey: a preview of the Universe in 56 colours. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2007.01910.pdf
NLM
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2020 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2007.01910.pdf
Vancouver
Bonoli S, Silva CQ de A, Abramo LRW, Abdalla E, Oliveira CLM de, Ederoclite A, Sodre Junior L, Coelho PRT. The miniJPAS survey: a preview of the Universe in 56 colours [Internet]. 2020 ;[citado 2024 jun. 27 ] Available from: https://arxiv.org/pdf/2007.01910.pdf
; Albuquerque, Ivone Freire da Mota e (cur) 
