Classification and photometric redshift estimation of quasars in photometric surveys (2021)
- Authors:
- USP affiliated authors: OLIVEIRA, CLAUDIA LUCIA MENDES DE - IAG ; HIRATA, NINA SUMIKO TOMITA - IME ; ABRAMO, LUIS RAUL WEBER - IF ; NAKAZONO, LILIANNE MARIKO IZUTI - IAG ; SILVA, CAROLINA QUEIROZ DE ABREU - IF
- Unidades: IAG; IME; IF
- DOI: 10.1017/S1743921320001829
- Subjects: COMPUTAÇÃO APLICADA; QUASARES
- Keywords: methods: statistical; catalogs; quasars: general
- Language: Inglês
- Imprenta:
- Publisher: Cambridge University Press (CUP)
- Publisher place: Cambridge
- Date published: 2021
- Source:
- Título: Proceedings of the International Astronomical Union
- ISSN: 1743-9213
- Volume/Número/Paginação/Ano: v. 359, p. 40-41, 2021
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
NAKAZONO, Lilianne Mariko Izuti et al. Classification and photometric redshift estimation of quasars in photometric surveys. Proceedings of the International Astronomical Union, v. 359, p. 40-41, 2021Tradução . . Disponível em: https://doi.org/10.1017/S1743921320001829. Acesso em: 12 jan. 2026. -
APA
Nakazono, L. M. I., Mendes de Oliveira, C., Hirata, N. S. T., Jeram, S., Gonzalez, A., Eikenberry, S., et al. (2021). Classification and photometric redshift estimation of quasars in photometric surveys. Proceedings of the International Astronomical Union, 359, 40-41. doi:10.1017/S1743921320001829 -
NLM
Nakazono LMI, Mendes de Oliveira C, Hirata NST, Jeram S, Gonzalez A, Eikenberry S, Queiroz C, Abramo LRW, Overzier R. Classification and photometric redshift estimation of quasars in photometric surveys [Internet]. Proceedings of the International Astronomical Union. 2021 ; 359 40-41.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1017/S1743921320001829 -
Vancouver
Nakazono LMI, Mendes de Oliveira C, Hirata NST, Jeram S, Gonzalez A, Eikenberry S, Queiroz C, Abramo LRW, Overzier R. Classification and photometric redshift estimation of quasars in photometric surveys [Internet]. Proceedings of the International Astronomical Union. 2021 ; 359 40-41.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1017/S1743921320001829 - Identification of new quasars in the S-PLUS fields and determination of photo-zs using machine learning
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Informações sobre o DOI: 10.1017/S1743921320001829 (Fonte: oaDOI API)
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