Inferring and with cosmic growth rate measurements using machine learning

HIGHLIGHTS

• who: Felipe Avila from the Observatu00f3rio Nacional, Rua General Josu00e9 Cristino, Su00e3o Cristu00f3vu00e3o, Rio de Janeiro, RJ, Brazil Departamento de Fu00edsica, Universidade Federal de Juiz de Fora, Juiz de Fora, MG, Brazil have published the research work: Inferring and with cosmic growth rate measurements using machine learning, in the Journal: Eur. Phys. J. C (2022) 82:594 of /2022/
• what: The authors use a supervised learning method designed to solve Bayesian approach to regression known as Gaussian Processes regression to quantify the cosmic evolution of S8 up to z ~ 1.5. For this the authors . . .
  

   

  

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