J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX (2019)
Source: Astronomy & Astrophysics. Unidade: IAG
Subjects: FOTOMETRIA, ATMOSFERAS ESTELARES
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WHITTEN, D. D et al. J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX. Astronomy & Astrophysics, v. 622, p. A182, 2019Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/201833368. Acesso em: 27 abr. 2024.APA
Whitten, D. D., Coelho, P. R. T., Costa-Duarte, M. V., Oliveira, C. L. M. de, Rossi, S. C. F., Sodré Júnior, L., & Hernandez-Jimenez, P. (2019). J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX. Astronomy & Astrophysics, 622, A182. doi:10.1051/0004-6361/201833368NLM
Whitten DD, Coelho PRT, Costa-Duarte MV, Oliveira CLM de, Rossi SCF, Sodré Júnior L, Hernandez-Jimenez P. J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX [Internet]. Astronomy & Astrophysics. 2019 ; 622 A182.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1051/0004-6361/201833368Vancouver
Whitten DD, Coelho PRT, Costa-Duarte MV, Oliveira CLM de, Rossi SCF, Sodré Júnior L, Hernandez-Jimenez P. J-PLUS: Identification of low-metallicity stars with artificial neural networks using SPHINX [Internet]. Astronomy & Astrophysics. 2019 ; 622 A182.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1051/0004-6361/201833368
