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Combined constraints on modified Chaplygin gas model from cosmological observed data: Markov Chain Monte Carlo approach

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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, \({\Omega_{b}h^{2}\,{=}\,0.02263^{+0.00184}_{-0.00162} (1\sigma)^{+0.00213}_{-0.00195} (2\sigma)}\), \({B_{s}\,{=}\,0.7788^{+0.0736}_{-0.0723}(1\sigma)^{+0.0918}_{-0.0904} (2\sigma)}\), \({\alpha\,{=}\,0.1079^{+0.3397}_{-0.2539} (1\sigma)^{+0.4678}_{-0.2911} (2\sigma)}\), \({B\,{=}\,0.00189^{+0.00583}_{-0.00756}(1\sigma)^{+0.00660}_{-0.00915} (2\sigma)}\), and \({H_{0}=70.711^{+4.188}_{-3.142} (1\sigma)^{+5.281}_{-4.149}(2\sigma)}\).

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Authors and Affiliations

  1. Department of Physics, Liaoning Normal University, Dalian, 116029, People’s Republic of China

    Jianbo Lu & Yabo Wu

  2. School of Physics and Optoelectronic Technology, Dalian University of Technology, Dalian, 116024, People’s Republic of China

    Lixin Xu

  3. College of Physics and Electronic Engineering, Xinyang Normal University, Xinyang, 464000, People’s Republic of China

    Molin Liu

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  1. Jianbo Lu
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Lu, J., Xu, L., Wu, Y. et al. Combined constraints on modified Chaplygin gas model from cosmological observed data: Markov Chain Monte Carlo approach. Gen Relativ Gravit 43, 819–832 (2011). https://doi.org/10.1007/s10714-010-1103-4

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