Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data (2019)
- Authors:
- Autor USP: LIMA, MARCOS VINICIUS BORGES TEIXEIRA - IF
- Unidade: IF
- DOI: 10.1093/mnras/sty2802
- Subjects: COSMOLOGIA; MATÉRIA ESCURA; ESTRUTURA DO UNIVERSO
- Keywords: COSMOLOGICAL PARAMETERS; COSMOLOGY: OBSERVATIONS; DARK ENERGY; LARGE-SCALE STRUCTURE OF UNIVERSE
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Monthly Notices of the Royal Astronomical Society
- Volume/Número/Paginação/Ano: v. 482, n. 2, jan., p. 1435–1451, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SALVADOR, A I e LIMA, Marcos Vinicius Borges Teixeira. Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, v. 482, n. ja, p. 1435–1451, 2019Tradução . . Disponível em: https://doi.org/10.1093/mnras/sty2802. Acesso em: 17 fev. 2026. -
APA
Salvador, A. I., & Lima, M. V. B. T. (2019). Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data. Monthly Notices of the Royal Astronomical Society, 482( ja), 1435–1451. doi:10.1093/mnras/sty2802 -
NLM
Salvador AI, Lima MVBT. Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data [Internet]. Monthly Notices of the Royal Astronomical Society. 2019 ; 482( ja): 1435–1451.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1093/mnras/sty2802 -
Vancouver
Salvador AI, Lima MVBT. Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data [Internet]. Monthly Notices of the Royal Astronomical Society. 2019 ; 482( ja): 1435–1451.[citado 2026 fev. 17 ] Available from: https://doi.org/10.1093/mnras/sty2802 - 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/sty2802 (Fonte: oaDOI API)
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