The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification (2023)
- Authors:
- Autor USP: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF
- Unidade: IF
- DOI: 10.1093/mnras/stac1404
- Assunto: SUPERNOVAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Oxford University Press
- Publisher place: Oxford
- Date published: 2023
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: v. 518, n. 1, p. 1106–1127, 2023
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VINCENZI, M e LIMA, Marcos Vinicius Borges Teixeira. The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification. Monthly Notices of the Royal Astronomical Society, v. 518, n. 1, p. 1106–1127, 2023Tradução . . Disponível em: https://doi.org/10.1093/mnras/stac1404. Acesso em: 03 mar. 2026. -
APA
Vincenzi, M., & Lima, M. V. B. T. (2023). The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification. Monthly Notices of the Royal Astronomical Society, 518( 1), 1106–1127. doi:10.1093/mnras/stac1404 -
NLM
Vincenzi M, Lima MVBT. The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 518( 1): 1106–1127.[citado 2026 mar. 03 ] Available from: https://doi.org/10.1093/mnras/stac1404 -
Vancouver
Vincenzi M, Lima MVBT. The Dark Energy Survey supernova program: cosmological biases from supernova photometric classification [Internet]. Monthly Notices of the Royal Astronomical Society. 2023 ; 518( 1): 1106–1127.[citado 2026 mar. 03 ] Available from: https://doi.org/10.1093/mnras/stac1404 - Is every strong lens model unhappy in its own way?: uniform modelling of a sample of 13 quadruply+ imaged quasars
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Informações sobre o DOI: 10.1093/mnras/stac1404 (Fonte: oaDOI API)
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