Constrained evolution of effective equation of state parameter in non-linear $f(R, L_m)$ dark energy model: Insights from Bayesian analysis of cosmic chronometers and Pantheon samples
N. Myrzakulov, M. Koussour, Alnadhief H. A. Alfedeel, and Amare Abebe

TL;DR
This paper uses Bayesian analysis of cosmic chronometers and supernova data to study the evolution of dark energy's equation of state within a specific $f(R,L_m)$ gravity model, revealing a quintessence phase and current acceleration.
Contribution
It introduces a non-linear $f(R,L_m)$ gravity model with a specific parametric form for the effective EoS and constrains its parameters using recent observational datasets.
Findings
Current effective EoS parameter $oldsymbol{oldsymbol{ ext{ω}}_{eff}^{0}=-0.68 extpm0.06}$ indicating quintessence.
Deceleration parameter at present $oldsymbol{q_0=-0.61^{+0.01}_{-0.01}}$ confirming accelerated expansion.
Model consistent with observational data and supports a dark energy dominated universe.
Abstract
We conduct a Bayesian analysis of recent observational datasets, specifically the Cosmic Chronometers (CC) dataset and Pantheon samples, to investigate the evolution of the EoS parameter in dark energy models. Our study focused on the effective EoS parameter, which is described by the parametric form , where and are model parameters. This parametric form is applicable within the framework of gravity, where represents the Ricci scalar and is the matter Lagrangian. Here, we examine a non-linear model characterized by the functional form , where is the free parameter of the model. We examine the evolution of several cosmological parameters, including the effective EoS parameter , the deceleration parameter , the density parameter , the pressure ,…
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Taxonomy
TopicsCosmology and Gravitation Theories · Geophysics and Gravity Measurements · Galaxies: Formation, Evolution, Phenomena
