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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
Observational constraints to Ricci dark energy model by using: SN, BAO, OHD, fgas data sets
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论文类型:期刊论文
发表时间:2010-06-01
发表刊物:JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
收录刊物:SCIE
期号:6
ISSN号:1475-7516
关键字:dark energy experiments; cosmological parameters from CMBR; dark energy theory
摘要:We perform a global constraint on the Ricci dark energy model with both the flat case and the non-flat case, using the Markov Chain Monte Carlo (MCMC) method and the combined observational data from the cluster X-ray gas mass fraction, Supernovae of type Ia (397), baryon acoustic oscillations, current Cosmic Microwave Background, and the observational Hubble function. In the flat model, we obtain the best fit values of the parameters in 1 sigma, 2 sigma regions: Omega(m0) = 0.2927(-0.0388)(+0.0542), alpha = 0.3823(-0.0418-0.0541)(+0.0331+0.0415), Age/Gyr = 13.48(-0.16-0.21)(+0.13+0.17), H-0 = 69.09(-2.37-3.39)(+2.56+3.09). In the non-flat model, the best fit parameters are found in 1 sigma, 2 sigma regions: Omega(m0) = 0.3003(-0.0371-0.0423)(+0.0367+0.0429), alpha = 0.3845(-0.0474-0.0523)(+0.0386+0.0521), Omega(k) = 0.0240(-0.0130-0.0153)(+0.0109+0.0133), Lambda ge/Cyr = 12.54(-0.37-0.49)(+0.51+0.65), H-0 = 72.89(-3.05-3.72)(+3.31+3.388). Compared to the constraint results in the Lambda CDM model by using the same datasets, it is shown that the current combined datasets prefer the Lambda CDM model to the Ricci dark energy model.