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arXiv 1505.04443astro-ph.COgr-qc
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用高斯过程重建暗能量与暗物质的相互作用

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

Tao Yang, Zong-Kuan Guo, Rong-Gen Cai

摘要:

我们提出了一个非参数的方法来重建暗能量和暗物质之间的相互作用直接从SNIa联盟2.1数据使用高斯过程,这是一个完全贝叶斯平滑数据的方法。在这种方法中,一旦暗能量的状态方程($w$)被指定,相互作用可以被重建为红移的函数。对于含$w=-1$的衰减真空能情形,重建的相互作用与标准$Λ$ CDM模型一致,即没有相互作用的证据。这也适用于从$-0.9$到$-1.1$的恒定$w$情况和Chevallier-Polarski-Linder(CPL)参数化情况。如果状态方程明显偏离$-1$,则重构相互作用在$95\%$置信水平上存在。这表明当观测数据得到约束时,相互作用和暗能量状态方程之间的简并性。

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 $Λ$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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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