Improving cosmological covariance matrices with machine learning (2022)
Santi, Natali Soler Matubaro de 
; Abramo, Luis Raul Weber
Source: Journal of Cosmology and Astroparticle Physics (JCAP). Unidade: IF
Subjects: ASTROFÍSICA, FÍSICA MATEMÁTICA, COSMOLOGIA, SIMULAÇÃO (ESTATÍSTICA)
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SANTI, Natali Soler Matubaro de e ABRAMO, Luis Raul Weber. Improving cosmological covariance matrices with machine learning. Journal of Cosmology and Astroparticle Physics (JCAP), v. 2022, n. 9, 2022Tradução . . Disponível em: https://doi.org/10.1088/1475-7516/2022/09/013. Acesso em: 02 mar. 2026.APA
Santi, N. S. M. de, & Abramo, L. R. W. (2022). Improving cosmological covariance matrices with machine learning. Journal of Cosmology and Astroparticle Physics (JCAP), 2022( 9). doi:10.1088/1475-7516/2022/09/013NLM
Santi NSM de, Abramo LRW. Improving cosmological covariance matrices with machine learning [Internet]. Journal of Cosmology and Astroparticle Physics (JCAP). 2022 ; 2022( 9):[citado 2026 mar. 02 ] Available from: https://doi.org/10.1088/1475-7516/2022/09/013Vancouver
Santi NSM de, Abramo LRW. Improving cosmological covariance matrices with machine learning [Internet]. Journal of Cosmology and Astroparticle Physics (JCAP). 2022 ; 2022( 9):[citado 2026 mar. 02 ] Available from: https://doi.org/10.1088/1475-7516/2022/09/013
