中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A tracker solution for a holographic dark energy model

文献类型:期刊论文

作者Li, Hui; Guo, Zong-Kuan; Zhang, Yuan-Zhong; Li, H , Chinese Acad Sci, Inst Theoret Phys, POB 2735, Beijing 100080, Peoples R China
刊名INTERNATIONAL JOURNAL OF MODERN PHYSICS D
出版日期2006
卷号15期号:6页码:869-877
关键词Cosmological Constant Quantum-gravity Constraints Universe Quintessence Supernovae Inflation Bounds
ISSN号0218-2718
英文摘要We investigate a kind of holographic dark energy model with a future event horizon being IR cutoff and the equation of state -1. In this model, the constraint on the equation of state automatically specifies an interaction between matter and dark energy. With this interaction included, an accelerating expansion is obtained as well as the transition from deceleration to acceleration. It is found that there exists a stable tracker solution for the numerical parameter d > 1, and d smaller than one will not lead to a physical solution. This model provides another possible phenomenological framework to alleviate the cosmological coincidence problem in the context of holographic dark energy. Some properties of the evolution which are relevant to cosmological parameters are also discussed.
学科主题Physics
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WOS记录号WOS:000240606200004
公开日期2012-08-02
源URL[http://ir.itp.ac.cn/handle/311006/5982]  
专题理论物理研究所_理论物理所1978-2010年知识产出
通讯作者Li, H , Chinese Acad Sci, Inst Theoret Phys, POB 2735, Beijing 100080, Peoples R China
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Li, Hui,Guo, Zong-Kuan,Zhang, Yuan-Zhong,et al. A tracker solution for a holographic dark energy model[J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS D,2006,15(6):869-877.
APA Li, Hui,Guo, Zong-Kuan,Zhang, Yuan-Zhong,&Li, H , Chinese Acad Sci, Inst Theoret Phys, POB 2735, Beijing 100080, Peoples R China.(2006).A tracker solution for a holographic dark energy model.INTERNATIONAL JOURNAL OF MODERN PHYSICS D,15(6),869-877.
MLA Li, Hui,et al."A tracker solution for a holographic dark energy model".INTERNATIONAL JOURNAL OF MODERN PHYSICS D 15.6(2006):869-877.

入库方式: OAI收割

来源:理论物理研究所

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