The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation (2024)
- Authors:
- USP affiliated authors: COELHO, PAULA RODRIGUES TEIXEIRA - IAG ; ABRAMO, LUIS RAUL WEBER - IF
- Unidades: IAG; IF
- DOI: 10.1051/0004-6361/202348513
- Subjects: GALÁXIAS; FORMAÇÃO DE ESTRELAS; EVOLUÇÃO ESTELAR
- Keywords: METHODS: DATA ANALYSIS; TECHNIQUES: PHOTOMETRIC; SURVEYS; GALAXIES: DISTANCES AND REDSHIFTS
- Language: Inglês
- Imprenta:
- Publisher: EDP Sciences
- Publisher place: Les Ulis Cedex
- Date published: 2024
- Source:
- Título: Astronomy & Astrophysics (A&A)
- Volume/Número/Paginação/Ano: v. 684, A61, p. 1-14, 2024
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
HERNÁN-CABALLERO, A e COELHO, P. e ABRAMO, Raul. The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation. Astronomy & Astrophysics (A&A), v. 684, p. 1-14, 2024Tradução . . Disponível em: https://doi.org/10.1051/0004-6361/202348513. Acesso em: 02 out. 2024. -
APA
Hernán-Caballero, A., Coelho, P., & Abramo, R. (2024). The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation. Astronomy & Astrophysics (A&A), 684, 1-14. doi:10.1051/0004-6361/202348513 -
NLM
Hernán-Caballero A, Coelho P, Abramo R. The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation [Internet]. Astronomy & Astrophysics (A&A). 2024 ; 684 1-14.[citado 2024 out. 02 ] Available from: https://doi.org/10.1051/0004-6361/202348513 -
Vancouver
Hernán-Caballero A, Coelho P, Abramo R. The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation [Internet]. Astronomy & Astrophysics (A&A). 2024 ; 684 1-14.[citado 2024 out. 02 ] Available from: https://doi.org/10.1051/0004-6361/202348513 - A new library of theoretical stellar spectra for stellar population applications
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Informações sobre o DOI: 10.1051/0004-6361/202348513 (Fonte: oaDOI API)
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