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. |
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