Cosmological constraints from low redshift 21 cm intensity mapping with machine learning (2024)
Novaes, Camila P; Abdalla, Filipe B 
; Abdalla, Elcio ; Marins, Alessandro
Source: Monthly Notices of the Royal Astronomical Society. Unidade: IF
Subjects: COSMOLOGIA, ESTRUTURA DO UNIVERSO
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NOVAES, Camila P et al. Cosmological constraints from low redshift 21 cm intensity mapping with machine learning. Monthly Notices of the Royal Astronomical Society, 2024Tradução . . Disponível em: https://doi.org/10.1093/mnras/stad2932. Acesso em: 09 jul. 2024.APA
Novaes, C. P., Abdalla, F. B., Abdalla, E., & Marins, A. (2024). Cosmological constraints from low redshift 21 cm intensity mapping with machine learning. Monthly Notices of the Royal Astronomical Society. doi:https://doi.org/10.1093/mnras/stad2932NLM
Novaes CP, Abdalla FB, Abdalla E, Marins A. Cosmological constraints from low redshift 21 cm intensity mapping with machine learning [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1093/mnras/stad2932Vancouver
Novaes CP, Abdalla FB, Abdalla E, Marins A. Cosmological constraints from low redshift 21 cm intensity mapping with machine learning [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ;[citado 2024 jul. 09 ] Available from: https://doi.org/10.1093/mnras/stad2932
