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Data-driven Reconstruction of the Late-time Cosmic Acceleration with f(T) Gravity

Data-driven Reconstruction of the Late-time Cosmic Acceleration with f(T) Gravity

来源:Arxiv_logoArxiv
英文摘要

We use a combination of observational data in order to reconstruct the free function of f(T) gravity in a model-independent manner. Starting from the data-driven determined dark-energy equation-of-state parameter we are able to reconstruct the f(T) form. The obtained function is consistent with the standard {\Lambda}CDM cosmology within 1{\sigma} confidence level, however the best-fit value experiences oscillatory features. We parametrise it with a sinusoidal function with only one extra parameter comparing to {\Lambda}CDM paradigm, which is a small oscillatory deviation from it, close to the best-fit curve, and inside the 1{\sigma} reconstructed region. Similar oscillatory dark-energy scenarios are known to be in good agreement with observational data, nevertheless this is the first time that such a behavior is proposed for f(T) gravity. Finally, since the reconstruction procedure is completely model-independent, the obtained data-driven reconstructed f(T) form could release the tensions between {\Lambda}CDM estimations and local measurements, such as the H0 and {\sigma}8 ones.

Yi-Fu Cai、Thomas Hong Tsun Wong、Emmanuel N. Saridakis、Xin Ren

10.1016/j.dark.2021.100812

物理学

Yi-Fu Cai,Thomas Hong Tsun Wong,Emmanuel N. Saridakis,Xin Ren.Data-driven Reconstruction of the Late-time Cosmic Acceleration with f(T) Gravity[EB/OL].(2021-03-01)[2025-08-02].https://arxiv.org/abs/2103.01260.点此复制

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