Fisher matrix for multiple tracers: All you can learn from large-scale structure without assuming a model (2020)
- Authors:
- USP affiliated authors: ABRAMO, LUIS RAUL WEBER - IF ; BOSCHETTI, RENAN ISQUIERDO - IF
- Unidade: IF
- DOI: 10.1088/1475-7516/2020/11/054
- Assunto: COSMOLOGIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Cosmology and Astroparticle Physics
- Volume/Número/Paginação/Ano: v. 2020, n. 11, 054, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
BOSCHETTI, Renan e ABRAMO, Luis Raul Weber e AMENDOLA, Luca. Fisher matrix for multiple tracers: All you can learn from large-scale structure without assuming a model. Journal of Cosmology and Astroparticle Physics, v. 2020, n. 11, 2020Tradução . . Disponível em: https://doi.org/10.1088/1475-7516/2020/11/054. Acesso em: 13 fev. 2026. -
APA
Boschetti, R., Abramo, L. R. W., & Amendola, L. (2020). Fisher matrix for multiple tracers: All you can learn from large-scale structure without assuming a model. Journal of Cosmology and Astroparticle Physics, 2020( 11). doi:10.1088/1475-7516/2020/11/054 -
NLM
Boschetti R, Abramo LRW, Amendola L. Fisher matrix for multiple tracers: All you can learn from large-scale structure without assuming a model [Internet]. Journal of Cosmology and Astroparticle Physics. 2020 ; 2020( 11):[citado 2026 fev. 13 ] Available from: https://doi.org/10.1088/1475-7516/2020/11/054 -
Vancouver
Boschetti R, Abramo LRW, Amendola L. Fisher matrix for multiple tracers: All you can learn from large-scale structure without assuming a model [Internet]. Journal of Cosmology and Astroparticle Physics. 2020 ; 2020( 11):[citado 2026 fev. 13 ] Available from: https://doi.org/10.1088/1475-7516/2020/11/054 - Vinculando teorias de gravitação usando o parâmetro de distorção de redshift
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Informações sobre o DOI: 10.1088/1475-7516/2020/11/054 (Fonte: oaDOI API)
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