An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 (2024)
- Authors:
- Autor USP: ABRAMO, LUIS RAUL WEBER - IF
- Unidade: IF
- DOI: 10.1093/mnras/stad3956
- Assunto: GALÁXIAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Oxford University Press
- Publisher place: Oxford
- Date published: 2024
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: v. 528, n. 3, p. 4188–4208, 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
BOM, C R e ABRAMO, Luis Raul Weber. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3. Monthly Notices of the Royal Astronomical Society, v. 528, n. 3, p. 4188–4208, 2024Tradução . . Disponível em: https://doi.org/10.1093/mnras/stad3956. Acesso em: 13 nov. 2025. -
APA
Bom, C. R., & Abramo, L. R. W. (2024). An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3. Monthly Notices of the Royal Astronomical Society, 528( 3), 4188–4208. doi:10.1093/mnras/stad3956 -
NLM
Bom CR, Abramo LRW. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 528( 3): 4188–4208.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1093/mnras/stad3956 -
Vancouver
Bom CR, Abramo LRW. An extended catalogue of galaxy morphology using deep learning in southern photometric local universe survey data release 3 [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 528( 3): 4188–4208.[citado 2025 nov. 13 ] Available from: https://doi.org/10.1093/mnras/stad3956 - The Southern Photometric Local Universe Survey (S-PLUS): improved SEDs, morphologies and redshifts with 12 optical lters
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Informações sobre o DOI: 10.1093/mnras/stad3956 (Fonte: oaDOI API)
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