Bayesian analysis of viscous modified cosmic Chaplygin gas in FRW universe with a cosmological constant

In this work, we have studied the viscous Modified Cosmic Chaplygin Gas (MCCG) in the appearance of a cosmological constant within the FRW model of the universe. We assume that the bulk viscosity \(\xi\) and the cosmological constant \(\Lambda\) are linear combinations of two terms: one constant and the other dependent on the dark energy density \(\rho\) . In this work, we solve the resulting non-linear differential equations both analytically and numerically, obtaining the time evolution of the dark energy density. Using detailed calculations within the FRW framework, we derive an H ( z ) model and constrain its parameters through Bayesian statistical analysis, specifically via the Markov Chain Monte Carlo (MCMC) method, employing observational Hubble data (OHD), the Pantheon Plus, RSD, Union3 and DESI BAO datasets. Additionally, we have employed combined datasets such as CC+PP , CC+PP+RSD , CC+PP+RSD+DESI and CC+PP+RSD+DESI+Union3 .

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Journal
Scientific Reports
Published
2026-07-27
DOI
https://doi.org/10.1038/s41598-026-63741-3
Primary Topic
Cosmology and Gravitation Theories
Type
article
Field-Weighted Citation Impact
0.00

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article

Bayesian analysis of viscous modified cosmic Chaplygin gas in FRW universe with a cosmological constant

Safiqul Islam, Praveen Kumar Dhankar, Safyan Mukhtar, Mohit Thakre
Scientific Reports
Cosmology and Gravitation Theories
article

Bayesian analysis of viscous modified cosmic Chaplygin gas in FRW universe with a cosmological constant

Safiqul Islam, Praveen Kumar Dhankar, Safyan Mukhtar, Mohit Thakre
article en

Abstract

In this work, we have studied the viscous Modified Cosmic Chaplygin Gas (MCCG) in the appearance of a cosmological constant within the FRW model of the universe. We assume that the bulk viscosity \(\xi\) and the cosmological constant \(\Lambda\) are linear combinations of two terms: one constant and the other dependent on the dark energy density \(\rho\) . In this work, we solve the resulting non-linear differential equations both analytically and numerically, obtaining the time evolution of the dark energy density. Using detailed calculations within the FRW framework, we derive an H ( z ) model and constrain its parameters through Bayesian statistical analysis, specifically via the Markov Chain Monte Carlo (MCMC) method, employing observational Hubble data (OHD), the Pantheon Plus, RSD, Union3 and DESI BAO datasets. Additionally, we have employed combined datasets such as CC+PP , CC+PP+RSD , CC+PP+RSD+DESI and CC+PP+RSD+DESI+Union3 .

Scientific Reports
Symbiosis International University (IN), King Faisal University (SA)
Department of Science and Technology, Ministry of Science and Technology, India, King Faisal University, Division of Mathematical Sciences
Climate action
Openalex Percentile: Top 9%
Cosmology and Gravitation Theories
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Bayesian analysis of viscous modified cosmic Chaplygin gas in FRW universe with a cosmological constant — Safiqul Islam, Praveen Kumar Dhankar, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS