Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations (2022)
- Authors:
- USP affiliated authors: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF ; SILVA, MICHEL AGUENA DA - IF
- Unidade: IF
- DOI: 10.1093/mnras/stab2870
- Assunto: LENTES GRAVITACIONAIS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Oxford University Press
- Publisher place: Oxford
- Date published: 2022
- Source:
- Título do periódico: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: v. 509, Issue 3, p. 3371–3394, 2022
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
MACCRANN, N e SILVA, Michel Aguena da e LIMA, Marcos Vinicius Borges Teixeira. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations. Monthly Notices of the Royal Astronomical Society, v. 509, p. 3371–3394, 2022Tradução . . Disponível em: https://doi.org/10.1093/mnras/stab2870. Acesso em: 19 set. 2024. -
APA
MacCrann, N., Silva, M. A. da, & Lima, M. V. B. T. (2022). Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations. Monthly Notices of the Royal Astronomical Society, 509, 3371–3394. doi:10.1093/mnras/stab2870 -
NLM
MacCrann N, Silva MA da, Lima MVBT. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 509 3371–3394.[citado 2024 set. 19 ] Available from: https://doi.org/10.1093/mnras/stab2870 -
Vancouver
MacCrann N, Silva MA da, Lima MVBT. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations [Internet]. Monthly Notices of the Royal Astronomical Society. 2022 ; 509 3371–3394.[citado 2024 set. 19 ] Available from: https://doi.org/10.1093/mnras/stab2870 - DES16C3cje: A low-luminosity, long-lived supernova
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Informações sobre o DOI: 10.1093/mnras/stab2870 (Fonte: oaDOI API)
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