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Reconstructing teleparallel gravity with cosmic structure growth and expansion rate data
Journal of Cosmology and Astroparticle Physics ( IF 6.4 ) Pub Date : 2021-06-08 , DOI: 10.1088/1475-7516/2021/06/015
Jackson LeviSaid 1, 2 , Jurgen Mifsud 1 , Joseph Sultana 3 , Kristian ZarbAdami 1, 2, 4
Affiliation  

In this work, we use a combined approach of Hubble parameter data together with redshift-space-distortion (fσ8) 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.



中文翻译:

用宇宙结构增长和膨胀率数据重建遥平行引力

在这项工作中,我们使用哈勃参数数据与红移空间失真(f σ 8) 数据,这些数据一起用于通过高斯过程 (GP) 重建远平行引力 (TG) 拉格朗日函数。采用的哈勃数据主要来自宇宙天文钟,而对于 Ia 型超新星数据,我们使用最新的联合校准万神殿汇编。此外,我们考虑了两个主要的 GP 协方差函数,即平方指数和柯西核,以显示一致性(在 1σ 内的不确定性)。这项工作的核心成果是从 GP 重建的哈勃和增长数据对 TG 拉格朗日的数值重建。我们采用数据集和内核的不同可能组合来说明这方面的任何潜在差异。我们表明,ΛCDM 之外的非平凡宇宙学属于增长数据重建的不确定性,

更新日期:2021-06-08
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