Work

Bayesian Analysis of Viscous FRW Cosmology with Inhomogeneous Equation of State

Year: 2026

Type: article

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.

Source: Mathematics

DOI: 10.3390/math14111888

Authors: Rekha Patel, Praveen Kumar Dhankar, Safiqul Islam, Albert Munyeshyaka, Safyan Mukhtar, Musrrat Ali

Institutions: Symbiosis International University, King Faisal University, Mount Kigali University, College of Science and Technology - University of Rwanda

Language: English

Topic: Cosmology and Gravitation Theories

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Deanship of Scientific Research, King Faisal University