mu(*) masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses (2020)
- Authors:
- USP affiliated authors: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF ; SILVA, MICHEL AGUENA DA - IF
- Unidade: IF
- DOI: 10.1093/mnras/staa2687
- Subjects: COSMOLOGIA; AGLOMERADOS DE GALÁXIAS; LENTES GRAVITACIONAIS; FOTOMETRIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- ISSN: 1365-2966
- Volume/Número/Paginação/Ano: v. 498, n. 4, p. 5450–5467, novembro, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
PEREIRA, M. E. S. e SILVA, Michel Aguena da e LIMA, Marcos. mu(*) masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses. Monthly Notices of the Royal Astronomical Society, v. 498, n. 4, p. 5450–5467, 2020Tradução . . Disponível em: https://doi.org/10.1093/mnras/staa2687. Acesso em: 04 out. 2024. -
APA
Pereira, M. E. S., Silva, M. A. da, & Lima, M. (2020). mu(*) masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses. Monthly Notices of the Royal Astronomical Society, 498( 4), 5450–5467. doi:10.1093/mnras/staa2687 -
NLM
Pereira MES, Silva MA da, Lima M. mu(*) masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses [Internet]. Monthly Notices of the Royal Astronomical Society. 2020 ; 498( 4): 5450–5467.[citado 2024 out. 04 ] Available from: https://doi.org/10.1093/mnras/staa2687 -
Vancouver
Pereira MES, Silva MA da, Lima M. mu(*) masses: weak-lensing calibration of the Dark Energy Survey Year 1 redMaPPer clusters using stellar masses [Internet]. Monthly Notices of the Royal Astronomical Society. 2020 ; 498( 4): 5450–5467.[citado 2024 out. 04 ] Available from: https://doi.org/10.1093/mnras/staa2687 - Candidate periodically variable quasars from the Dark Energy Survey and the Sloan Digital Sky Survey
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Informações sobre o DOI: 10.1093/mnras/staa2687 (Fonte: oaDOI API)
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