Pushing automated morphological classifications to their limits with the Dark Energy Survey (2021)
- Authors:
- USP affiliated authors: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF ; SILVA, MICHEL AGUENA DA - IF
- Unidade: IF
- DOI: 10.1093/mnras/stab594
- Assunto: GALÁXIAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Royal Astronomical Society
- Publisher place: Oxford
- Date published: 2021
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: v. 506, n. 2, p. 1927–1943, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
FERRERO, J Vega e SILVA, Michel Aguena da e LIMA, Marcos Vinicius Borges Teixeira. Pushing automated morphological classifications to their limits with the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, v. 506, n. 2, p. 1927–1943, 2021Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab594. Acesso em: 23 jan. 2026. -
APA
Ferrero, J. V., Silva, M. A. da, & Lima, M. V. B. T. (2021). Pushing automated morphological classifications to their limits with the Dark Energy Survey. Monthly Notices of the Royal Astronomical Society, 506( 2), 1927–1943. doi:10.1093/mnras/stab594 -
NLM
Ferrero JV, Silva MA da, Lima MVBT. Pushing automated morphological classifications to their limits with the Dark Energy Survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 506( 2): 1927–1943.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1093/mnras/stab594 -
Vancouver
Ferrero JV, Silva MA da, Lima MVBT. Pushing automated morphological classifications to their limits with the Dark Energy Survey [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 506( 2): 1927–1943.[citado 2026 jan. 23 ] Available from: https://doi.org/10.1093/mnras/stab594 - Studying Type II supernovae as cosmological standard candles using the Dark Energy Survey
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- The mass and galaxy distribution around SZ-selected clusters
Informações sobre o DOI: 10.1093/mnras/stab594 (Fonte: oaDOI API)
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