Reconstructing the interaction between dark energy and dark matter using Gaussian processes

CORC > 理论物理研究所 > 中国科学院理论物理研究所 > 理论物理所科研产出 > 理论物理所1978-2010年知识产出

	Reconstructing the interaction between dark energy and dark matter using Gaussian processes
	Yang, T; Guo, ZK; Cai, RG
刊名	PHYSICAL REVIEW D
	2015
卷号	91 期号:12 页码:123533
通讯作者	Yang, T (reprint author), Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, POB 2735, Beijing 100190, Peoples R China.
英文摘要	We present a nonparametric approach to reconstruct the interaction between dark energy and dark matter directly from SNIa Union 2.1 data using Gaussian processes, which is a fully Bayesian approach for smoothing data. In this method, once the equation of state (w) of dark energy is specified, the interaction can be reconstructed as a function of redshift. For the decaying vacuum energy case with w = -1, the reconstructed interaction is consistent with the standard Lambda CDM model, namely, there is no evidence for the interaction. This also holds for the constant w cases from -0.9 to -1.1 and for the Chevallier-Polarski-Linder (CPL) parametrization case. If the equation of state deviates obviously from -1, the reconstructed interaction exists at 95% confidence level. This shows the degeneracy between the interaction and the equation of state of dark energy when they get constraints from the observational data.
学科主题	Astronomy & Astrophysics ; Physics
类目[WOS]	Astronomy & Astrophysics ; Physics, Particles & Fields
关键词[WOS]	EXPANSION HISTORY ; UNIVERSE ; CONSTRAINTS ; SUPERNOVAE
收录类别	SCI
语种	英语
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/20956]
专题	理论物理研究所_理论物理所1978-2010年知识产出
推荐引用方式 GB/T 7714	Yang, T,Guo, ZK,Cai, RG. Reconstructing the interaction between dark energy and dark matter using Gaussian processes[J]. PHYSICAL REVIEW D,2015,91(12):123533.
APA	Yang, T,Guo, ZK,&Cai, RG.(2015).Reconstructing the interaction between dark energy and dark matter using Gaussian processes.PHYSICAL REVIEW D,91(12),123533.
MLA	Yang, T,et al."Reconstructing the interaction between dark energy and dark matter using Gaussian processes".PHYSICAL REVIEW D 91.12(2015):123533.