English

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

Cosmology and Nongalactic Astrophysics 2021-04-20 v2 General Relativity and Quantum Cosmology High Energy Physics - Theory

Abstract

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.

Keywords

Cite

@article{arxiv.2103.01260,
  title  = {Data-driven Reconstruction of the Late-time Cosmic Acceleration with f(T) Gravity},
  author = {Xin Ren and Thomas Hong Tsun Wong and Yi-Fu Cai and Emmanuel N. Saridakis},
  journal= {arXiv preprint arXiv:2103.01260},
  year   = {2021}
}

Comments

8 pages, 5 figures