Cosmological constraints on generalized Chaplygin gas model: Markov Chain Monte Carlo approach

Abstract

We use the Markov Chain Monte Carlo method to investigate a global constraints on the generalized Chaplygin gas (GCG) model as the unification of dark matter and dark energy from the latest observational data: the Constitution 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 non-flat universe, the constraint results for GCG model are, ${\Omega }_b{h}^2=0.0235_{-0.0018}^{+0.0021}$ ($1\sigma$) ${}_{-0.0022}^{+0.0028}$ $(2\sigma )$, ${\Omega }_k=0.0035_{-0.0182}^{+0.0172}$ ($1\sigma$) ${}_{-0.0204}^{+0.0226}$ $(2\sigma )$, $A_s=0.753_{-0.035}^{+0.037}$ ($1\sigma$) ${}_{-0.044}^{+0.045}$ $(2\sigma )$, $\alpha =0.043_{-0.106}^{+0.102}$ ($1\sigma$) ${}_{-0.117}^{+0.134}$ $(2\sigma )$, and $H_0=70.00_{-2.92}^{+3.25}$ ($1\sigma$) ${}_{-3.67}^{+3.77}$ $(2\sigma )$, which is more stringent than the previous results for constraint on GCG model parameters. Furthermore, according to the information criterion, it seems that the current observations much support $\Lambda$CDM model relative to the GCG model.

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