Accelerating universe in f(T) teleparallel gravity

Author:

Shukla Bhupendra Kumar1ORCID,Sofuoğlu Değer2ORCID,Khare Sandeep3ORCID,Alfedeel Alnadhief H.A.456ORCID

Affiliation:

1. Department of Mathematics, Govt.College, Bandri Sagar 470442 (M.P.), India

2. Department of Physics, Istanbul University, Vezneciler, 34134, Fatih, Istanbul, Turkey

3. Department of Mathematics, Indra Gandhi National Tribal University Amarkantak M. P. India

4. Department of Mathematics and Statistics, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 13318, Saudi Arabia

5. Department of Physics, Faculty of Science, University of Khartoum, P.O. Box 321, Khartoum 11115, Sudan

6. Centre for Space Research, North-West University, Potchefstroom 2520, South Africa

Abstract

In recent decades, there has been significant research on the role of torsion in gravity, with a focus on aligning gravity with its gauge formulation and including spin into a geometric description. In order to account for the present phenomenon of the universe’s accelerated expansion, recent developments have introduced [Formula: see text] theories that rely on the disparities found in teleparallel gravity. Torsion, rather than curvature, is the fundamental geometric property that describes gravity in these theories. When compared to theories involving [Formula: see text] functions, the field equations are consistently of second order and surprisingly simple. We consider a specific type of function called torsion, which is defined as [Formula: see text]. The expression consists of two free parameters, [Formula: see text] and [Formula: see text], and the current value of the torsion scalar, [Formula: see text]. In order to solve the modified torsion field equations (MTFEs), we can utilize the parametrization of the deceleration parameter (DP) in terms of redshift, denoted as [Formula: see text]. Here, [Formula: see text] and [Formula: see text] represent the model parameters. The model parameters are determined by utilizing observable constraints, including as 57 Hubble data points, 1048 Pantheon supernovae type Ia data, and Baryon Acoustic Oscillations (BAO) datasets. In addition, we utilize Markov Chain Monte Carlo (MCMC) methods for statistical analysis.

Publisher

World Scientific Pub Co Pte Ltd

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