On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 (2021)
- Authors:
- Nakazono, Lilianne Mariko Izuti

- Oliveira, C. Mendes de

- Hirata, Nina Sumiko Tomita

- Jeram, Sarik

- Queiroz, C.

- Eikenberry, Stephen

- Gonzalez, Anthony H.

- Abramo, Luis Raul Weber

- Overzier, Roderik

- Espadoto, Mateus

- Martinazzo, Ana Carolina Rodrigues Cavalcante
- Sampedro, Laura

- Herpich, Fábio Rafael

- Fernandes, Felipe de Almeida

- Werle, Ariel

- Barbosa, Carlos Eduardo

- Sodre Junior, Laerte

- Lima, E V
- Buzzo, Maria Luisa Gomes

- Cortesi, Arianna

- Menendez-Delmestre, Karin

- Akras, Stavros

- Alvarez-Candal, Alvaro

- Lopes, A R
- Telles, Eduardo

- Schoenell, William

- Kanaan, Antonio

- Ribeiro, T
- Nakazono, Lilianne Mariko Izuti
- USP affiliated authors: OLIVEIRA, CLAUDIA LUCIA MENDES DE - IAG ; HIRATA, NINA SUMIKO TOMITA - IME ; ABRAMO, LUIS RAUL WEBER - IF ; SODRE JUNIOR, LAERTE - IAG ; NAKAZONO, LILIANNE MARIKO IZUTI - IAG ; SILVA, CAROLINA QUEIROZ DE ABREU - IF ; ESPADOTO, MATEUS - IME ; MARTINAZZO, ANA CAROLINA RODRIGUES CAVALCANTE - IME ; HERNÁNDEZ, LAURA MARIA SAMPEDRO - IAG ; HERPICH, FÁBIO RAFAEL - IAG ; FERNANDES, FELIPE DE ALMEIDA - IAG ; WERLE, ARIEL - IAG ; BARBOSA, CARLOS EDUARDO - IAG ; LIMA, ERIK VINICIUS RODRIGUES DE - IAG ; BUZZO, MARIA LUISA GOMES - IAG ; CORTESI, ARIANNA - IAG
- Unidades: IAG; IME; IF
- DOI: 10.1093/mnras/stab1835
- Subjects: AGLOMERADOS DE GALÁXIAS; QUASARES; APRENDIZADO COMPUTACIONAL
- Keywords: methods: data analysis; catalogues; surveys; stars: general; galaxies: general; quasars: generaL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- ISSN: 0035-8711
- Volume/Número/Paginação/Ano: v. 507, n. 4, p. 5847-5868, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
NAKAZONO, Lilianne Mariko Izuti et al. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, v. 507, n. 4, p. 5847-5868, 2021Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab1835. Acesso em: 27 fev. 2026. -
APA
Nakazono, L. M. I., Oliveira, C. M. de, Hirata, N. S. T., Jeram, S., Queiroz, C., Eikenberry, S., et al. (2021). On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2. Monthly Notices of the Royal Astronomical Society, 507( 4), 5847-5868. doi:10.1093/mnras/stab1835 -
NLM
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2026 fev. 27 ] Available from: https://doi.org/10.1093/mnras/stab1835 -
Vancouver
Nakazono LMI, Oliveira CM de, Hirata NST, Jeram S, Queiroz C, Eikenberry S, Gonzalez AH, Abramo LRW, Overzier R, Espadoto M, Martinazzo ACRC, Sampedro L, Herpich FR, Fernandes F de A, Werle A, Barbosa CE, Sodre Junior L, Lima EV, Buzzo MLG, Cortesi A, Menendez-Delmestre K, Akras S, Alvarez-Candal A, Lopes AR, Telles E, Schoenell W, Kanaan A, Ribeiro T. On the discovery of stars, quasars, and galaxies in the Southern Hemisphere with S-PLUS DR2 [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 507( 4): 5847-5868.[citado 2026 fev. 27 ] Available from: https://doi.org/10.1093/mnras/stab1835 - Photometric redshifts for the S-PLUS Survey: Is machine learning up to the task?
- Identification of new quasars in the S-PLUS fields and determination of photo-zs using machine learning
- Classification and photometric redshift estimation of quasars in photometric surveys
- The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts
- Self-supervised learning for astronomical image classification
- Deep learning for astronomical object classification: a case study
- Assessing the photometric redshift precision of the S-PLUS survey: the Stripe-82 as a test-case
- The miniJPAS survey: star-galaxy classification using machine learning
- The miniJPAS survey: star-galaxy classification using machine learning
- The miniJPAS survey: Photometric redshift catalogue
Informações sobre o DOI: 10.1093/mnras/stab1835 (Fonte: oaDOI API)
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