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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
Current observational constraints to the holographic dark energy model with a new infrared cutoff via the Markov chain Monte Carlo method
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论文类型:期刊论文
发表时间:2010-04-15
发表刊物:PHYSICAL REVIEW D
收录刊物:SCIE
卷号:81
期号:8
ISSN号:2470-0010
摘要:In this paper, the holographic dark energy model with new infrared (IR) cut-off for both the flat case and the non-flat case are confronted with the combined constraints of current cosmological observations: type Ia Supernovae, Baryon Acoustic Oscillations, current Cosmic Microwave Background, and the observational hubble data. By utilizing the Markov Chain Monte Carlo (MCMC) method, we obtain the best fit values of the parameters with 1 sigma, 2 sigma errors in the flat model: Omega(b)h(2) = 0.0230(-0.0010-0.0014)(+0.0008+0.0012), alpha = 0.9788(-0.0927-0.1249)(+0.1297+0.1354), beta = 0.4739(-0.0723-0.0984)(+0.0793+0.1055), Omega(de0) = 0.7869(-0.0304-0.0455)(+0.0291+0.0370), Omega(m0) = 0.2131(-0.0291-0.0370)(+0.0304+0.0455), H-0 = 70.46(-2.97-4.02)(+2.82+3.89). In the nonflat model, the constraint results are found 1 sigma, 2 sigma region; Omega(b)h(2) = 0.0229(-0.0010-0.0014)(+0.0010+0.0013), Omega(k) = 0.0014(-0.0597-0.0743)(+0.0604+0.0604), alpha = 0.9637(-0.2840-0.3333)(+0.2291+0.2894), beta = 0.4712(-0.0756-0.0961)(+01412+0.1703), Omega(de0) = 0.7829(-0.2130-0.2386)(+0.1588+0.1901), Omega(m0) = 0.2157(-0.1012-0.1241)(+0.1562+0.1800), H-0 = 70.64(-3.32-4.45)(+2.74+3.52). In the best fit holographic dark energy models, the equation of state of dark energy and the deceleration parameter at present are characterized by w(de0) = -0.9278 +/- 0.0626, q(0) = -0.5951 +/- 0.0586 (flat case) and w(de0) = -0.9501 +/- 0.1442, q(0) = -0.06164 +/- 0.0805 (flat case) and w(de0) = -0.9501 +/- 0.1442, q(0) = -0.6164 +/- 0.0805 (nonflat case). Compared to the Lambda CDM model, it is found the current combined data sets do not favor the holographic dark energy model over the Lambda CDM model.