Combined constraints on modified Chaplygin gas model from cosmological observed data: Markov Chain Monte Carlo approach
Jianbo Lu, Lixin Xu, Yabo Wu, Molin Liu

TL;DR
This paper employs Markov Chain Monte Carlo methods to constrain the modified Chaplygin gas model using diverse cosmological observational data, providing updated parameter bounds for a unified dark matter and dark energy scenario.
Contribution
It introduces a comprehensive MCMC analysis combining multiple datasets to tightly constrain the parameters of the modified Chaplygin gas model in a flat universe.
Findings
Parameter constraints for the MCG model with 1σ and 2σ confidence levels.
Consistent Hubble constant estimate around 70.7 km/s/Mpc.
Quantitative bounds on dark matter and dark energy unification parameters.
Abstract
We use the Markov Chain Monte Carlo method to investigate a global constraints on the modified Chaplygin gas (MCG) model as the unification of dark matter and dark energy from the latest observational data: the Union2 dataset of type supernovae Ia (SNIa), the observational Hubble data (OHD), the cluster X-ray gas mass fraction, the baryon acoustic oscillation (BAO), and the cosmic microwave background (CMB) data. In a flat universe, the constraint results for MCG model are, () , () , () , () , and ()…
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