Revisiting generalized Chaplygin gas as a unified dark matter and dark energy model

• Published in: The European physical journal. C, Particles and fields Vol. 72; no. 2; pp. 1 - 6
• Main Authors: Xu, Lixin, Lu, Jianbo, Wang, Yuting
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer-Verlag 01.02.2012; Springer; Springer Nature B.V
• Subjects: Astronomy; Astrophysics and Cosmology; Chaplygin gas; Computer simulation; Dark energy; Dark matter; Data points; Elementary Particles; Exact sciences and technology; Flux density; Hadrons; Heavy Ions; Markov analysis; Markov chains; Measurement Science and Instrumentation; Monte Carlo simulation; Nuclear Energy; Nuclear Physics; Physics; Physics and Astronomy; Quantum Field Theories; Quantum Field Theory; Regular Article - Theoretical Physics; String Theory; The physics of elementary particles and fields; Dark Energy; Dark Energy Model; Cold Dark Matter; Dark Matter; Cosmic Microwave Background; Markov chain; Type I supernova; Monte Carlo methods; Dark matter; Elementary particles; Cosmology; Energy density; Models; Dark energy; Baryons; Mathematical physics
• ISSN: 1434-6044; 1434-6052
• DOI: 10.1140/epjc/s10052-012-1883-7

In this paper, we revisit the generalized Chaplygin gas (GCG) model as a unified dark matter and dark energy model. The energy density of GCG model is given as ρ GCG / ρ GCG0 =[ B s +(1− B s ) a −3(1+ α ) ] 1/(1+ α ) , where α and B s are two model parameters which will be constrained by type Ia supernova as standard candles, baryon acoustic oscillation as standard rulers and the seventh year full WMAP data points. In this paper, we will not separate GCG into dark matter and dark energy parts any more as adopted in the literature. By using the Markov Chain Monte Carlo method, we find the results and .