Model-independent reconstruction of $f(T)$ gravity from Gaussian Processes
Abstract
We apply Gaussian processes and Hubble function data in cosmology, to reconstruct for the first time the form in a model-independent way. In particular, using datasets coming from cosmic chronometers as well as from the radial BAO method, alongside the latest released local value km/s/Mpc, we reconstruct and its derivatives, resulting eventually in a reconstructed region for , without any assumption. Although the cosmological constant lies in the central part of the reconstructed region, the obtained mean curve follows a quadratic function. Inspired by this we propose a new parametrization, i.e. , with the sole free parameter that quantifies the deviation from CDM cosmology. Additionally, we confront three viable one-parameter models of the literature, which respectively are the power-law, the square-root exponential, and the exponential one, with the reconstructed region, and then we extract significantly improved constraints for their model parameters, comparing to the constraints that arise from usual observational analysis. Finally, we argue that since we are using the direct Hubble measurements and the local value for in our analysis, with the above reconstruction of , the tension can be efficiently alleviated.
Keywords
Cite
@article{arxiv.1907.10813,
title = {Model-independent reconstruction of $f(T)$ gravity from Gaussian Processes},
author = {Yi-Fu Cai and Martiros Khurshudyan and Emmanuel N. Saridakis},
journal= {arXiv preprint arXiv:1907.10813},
year = {2020}
}
Comments
10 pages, 4 figures, 1 table; comments are welcome