Yang, T (reprint author), Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, POB 2735, Beijing 100190, Peoples R China.
文章类型:
Article
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.
Strategic Priority Research Program of the Chinese Academy of Sciences [XDB09000000]
; National Natural Science Foundation of China [11175225, 11335012]
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.
