Bayesian Analysis of Viscous FRW Cosmology with Inhomogeneous Equation of State

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Authors: Rekha Patel, Praveen Kumar Dhankar, Safiqul Islam, Albert Munyeshyaka, Safyan Mukhtar, Musrrat Ali
Cited by: 1
References: 74

Abstract

In this presented work, we execute a statistical data analysis on the viscous models of non-perfect fluid with a viscosity profile ξ=ξ0+(ξ1−ξ2q)H as well as by taking an equation of state (EOS) characterized by inhomogeneity p=ωρ+Λ(t) and ω=α−1, in the absence of any non-canonical dark energy term with different observational datasets. For the validation of the theoretical study, we carry out Monte Carlo Markov Chain (MCMC) analysis using recent Hubble H(z), DESI BAO and the Pantheon Plus (PP) datasets to derive the values of constraints. The best-fit results exhibit robust cross-dataset agreement and remain in full agreement with the parameters inferred within the ΛCDM model.

Fields of Study & Subjects

Cosmology and Gravitation Theories Galaxies: Formation Evolution Phenomena Statistical Mechanics and Entropy

Publication details

Journal / source
Mathematics
Publisher
MDPI AG
Volume
14
Issue
11
Pages
1888–1888
Publication date
29 May 2026
Language
EN