The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination (2021)
- Authors:
- USP affiliated authors: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF ; SILVA, MICHEL AGUENA DA - IF
- Unidade: IF
- DOI: 10.1093/mnras/stab1353
- Assunto: COSMOLOGIA
- 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. 505, n. 2, p. 2819–2839, 2021
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VINCENZI, M e SILVA, Michel Aguena da e LIMA, Marcos Vinicius Borges Teixeira. The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination. Monthly Notices of the Royal Astronomical Society, v. 505, n. 2, p. 2819–2839, 2021Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab1353. Acesso em: 22 fev. 2026. -
APA
Vincenzi, M., Silva, M. A. da, & Lima, M. V. B. T. (2021). The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination. Monthly Notices of the Royal Astronomical Society, 505( 2), 2819–2839. doi:10.1093/mnras/stab1353 -
NLM
Vincenzi M, Silva MA da, Lima MVBT. The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 505( 2): 2819–2839.[citado 2026 fev. 22 ] Available from: https://doi.org/10.1093/mnras/stab1353 -
Vancouver
Vincenzi M, Silva MA da, Lima MVBT. The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination [Internet]. Monthly Notices of the Royal Astronomical Society. 2021 ; 505( 2): 2819–2839.[citado 2026 fev. 22 ] Available from: https://doi.org/10.1093/mnras/stab1353 - Dark Energy Survey year 3 results: covariance modelling and its impact on parameter estimation and quality of fit
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Informações sobre o DOI: 10.1093/mnras/stab1353 (Fonte: oaDOI API)
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