个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:物理学院
学科:理论物理
办公地点:物理学院211室
联系方式:lxxu .AT. dlut.edu.cn
Cosmological constraints on generalized Chaplygin gas model: Markov Chain Monte Carlo approach
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论文类型:期刊论文
发表时间:2010-03-01
发表刊物:JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
收录刊物:SCIE
期号:3
ISSN号:1475-7516
关键字:dark energy theory; dark energy experiments; supernova type Ia - standard candles
摘要: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)(+0.00221) (1 sigma) (+0.0028)(-0.0022) (2 sigma), Omega(k) = 0.0035(-0.0182)(+0.0172) (1 sigma) (+0.0226)(-0.0204) (2 sigma), A(s) = 0.753(-0.035)(+0.037) (1 sigma) (+0.045)(-0.044) (2 sigma), alpha = 0.043(-0.016)(+0.102) (1 sigma) (+0.0134)(-0.117) (2 sigma), and H-0 = 70.00(-2.92)(+3.25) (1 sigma) (+3.77)(-3.67) (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 ACDM model relative to the GCG model.