4.5 Article

Data-driven reconstruction of the late-time cosmic acceleration with f (T) gravity

期刊

PHYSICS OF THE DARK UNIVERSE
卷 32, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.dark.2021.100812

关键词

Dark energy; f (T) gravity; Data-driven reconstruction

资金

  1. National Natural Science Foundation of China [11653002, 11961131007, 11722327, 1201101448, 11421303]
  2. China Association for Science and Technology-Young Elite Scientists Sponsorship Program [2016QNRC001]
  3. National Youth Talents Program of China
  4. Fundamental Research Funds for Central Universities, China
  5. China Scholarship Council, China Innovation Talent Funds
  6. University of Science and Technology of China, China Fellowship for International Cooperation

向作者/读者索取更多资源

The study reconstructs the free function of f(T) gravity using a combination of observational data, finding that the obtained function is consistent with the standard ΛCDM cosmology within 1σ confidence level but exhibits oscillatory features. Parametrizing it with a sinusoidal function with only one extra parameter, the study proposes a small oscillatory deviation close to the best-fit curve and within the 1σ reconstructed region.
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-ofstate 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 parametrize 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 modelindependent, the obtained data-driven reconstructed f (T) form could release the tensions between.CDM estimations and local measurements, such as the H-0 and sigma(8) ones. (C) 2021 Elsevier B.V. All rights reserved.

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