New emergent observational constraints in f(Q, T) gravity model

被引:14
作者
Shekh, S. H. [1 ]
Bouali, A. [2 ]
Pradhan, Anirudh [3 ]
Beesham, A. [4 ,5 ,6 ]
机构
[1] Commerce Coll, Dept Math, SPM Sci & Gilani Arts, Yavatmal 445301, Maharashtra, India
[2] Mohammed I Univ, Lab Phys Matter & Radiat, BP 717, Oujda, Morocco
[3] GLA Univ, Ctr Cosmol Astrophys & Space Sci CCASS, Mathura 281406, UP, India
[4] Univ Zululand, Dept Math Sci, Private Bag X1001, ZA-3886 Kwa Dlangezwa, South Africa
[5] Mangosuthu Univ Technol, Fac Nat Sci, POB 12363, ZA-4052 Jacobs, South Africa
[6] Natl Inst Theoret & Computat Sci NITheCS, Stellenbosch, South Africa
关键词
Isotropic homogeneous spacetime; f(QT) gravity; Cosmic acceleration; Dark energy; BARYON ACOUSTIC-OSCILLATIONS; ENERGY CONDITIONS; DARK ENERGY; UNIVERSE; SCENARIO; FIELD; F(Q;
D O I
10.1016/j.jheap.2023.06.004
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
In the current study, we inspect the late-time acceleration of the universe in f(Q, T) gravity. In this theory, Q represents the non-metricity term and with T & mu;& nu; the energy-momentum tensor, with T its trace. To explore the solutions in the theory for the Friedmann-Lemaitre-Robertson-Walker (FLRW) model, we propose a new scale factor called the emergent scale factor, which yields the Hubble parameter, H(z),  ) having the form H(z) = nb -B + 1 (A(z +1))1 b with a new relation a(t) = 1 1+z ). By using the SNIa from Pantheon, BAO from (6dFGS, BOSS-LOWZ, SDSS DR7 MGS, BOSS-DR12, BOSS-CMASS, WiggleZ and Lya), CMB from Planck 2018, and the 36 data points from Hubble datasets using the Monte-Carlo Markov Chain (MCMC) approach, we estimate the parameters of the model. The variation in time of the deceleration parameter in the model shows that a phase of deceleration transits to a phase of acceleration. Further, we examine the behaviour of the jerk parameter and carry out a statefinder analysis. In order to complete the current study, we consider two forms for f (Q, T), specifically, f (Q, T) = a1 Qm +a2T and f (Q, T) = & gamma; Q2+ & eta;Q +& lambda;T where a1, a2, m, & gamma;, & eta;, and & lambda; are the model's parameters that need to satisfy observations. Finally, we present an appraisal of our current analysis.& COPY; 2023 Published by Elsevier B.V.
引用
收藏
页码:53 / 69
页数:17
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