Exploring late-time cosmic acceleration: A study of a linear $f(T)$ cosmological model using observational data
A. Zhadyranova, M. Koussour, S. Bekkhozhayev, V. Zhumabekova, and J., Rayimbaev

TL;DR
This paper investigates a linear $f(T)$ gravity model using observational data to explain late-time cosmic acceleration without dark energy, deriving best-fit parameters that support a stable accelerated expansion.
Contribution
It introduces a specific linear $f(T)$ model with a constant term and fits it to observational data, demonstrating its viability in explaining cosmic acceleration.
Findings
Best-fit Hubble constant and model parameters obtained.
Model explains late-time acceleration without dark energy.
Supports stability of the $f(T)$ cosmological model.
Abstract
Understanding the evolution of dark energy poses a significant challenge in modern cosmology, as it is responsible for the universe's accelerated expansion. In this study, we focus on a specific cosmological model and analyze its behavior using observational data, including 31 data points from the CC dataset, 1048 points from the Pantheon SNe Ia samples, and 6 points from the BAO dataset. By considering a linear model with an additional constant term, we derive the expression for the Hubble parameter as a function of cosmic redshift for non-relativistic pressureless matter. We obtain the best-fit values for the Hubble constant, , and the model parameters and , indicating a stable model capable of explaining late-time cosmic acceleration without invoking a dark energy component. This is achieved through modifying field equations to account for the…
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