2021/03/31 by Jackson Levi Said, Jurgen Mifsud, Joseph Sultana +1 · 48 citations
Physics and Astronomy · #COSMIC cancer database #Cauchy distribution #Consistency (knowledge bases) #Cosmology #Cosmology and Gravitation Theories #Covariance #Galaxies: Formation, Evolution, Phenomena #Hubble volume #Hubble's law #Particle physics theoretical and experimental studies #Supernova #astro-ph.CO #gr-qc
paper · pdf · doi:10.1088/1475-7516/2021/06/015
published in Journal of Cosmology and Astroparticle Physics 2021(06), 015 (Institute of Physics) · 31 pages, 10 figures
openalex created_date 2021/03/15 · openalex publication_date 2021/06/01 · arxiv created 2021/06/17 · arxiv updated 2021/06/21 · openalex updated_date 2026/08/05
Abstract In this work, we use a combined approach of Hubble parameter data together with redshift-space-distortion ( f σ 8 ) data, which together are used to reconstruct the teleparallel gravity (TG) Lagrangian via Gaussian processes (GP). The adopted Hubble data mainly comes from cosmic chronometers, while for the Type Ia supernovae data we use the latest jointly calibrated Pantheon compilation. Moreover, we consider two main GP covariance functions, namely the squared-exponential and Cauchy kernels in order to show consistency (to within 1σ uncertainties). The core results of this work are the numerical reconstructions of the TG Lagrangian from GP reconstructed Hubble and growth data. We take different possible combinations of the datasets and kernels to illustrate any potential differences in this regard. We show that nontrivial cosmology beyond ΛCDM falls within the uncertainties of the reconstructions from growth data, which therefore indicates no significant departure from the concordance cosmological model.