arXiv 2011.091602020-11-18astro-ph.CO

用一个新的耦合广义三态暗能量模型缓解$H_0$张力

Relieve the $H_0$ tension with a new coupled generalized three-form dark energy model

Yanhong Yao, Xinhe Meng

备注：: 19 pages, 5 figure, 3 table

摘要：

本文提出了一个新的广义耦合三态暗能量模型，其中暗能量用三态场表示，其它成分用理想流体表示.我们首先对新模型进行动力学分析，得到四个不动点，包括一个代表辐射主导宇宙的鞍点、一个代表物质主导宇宙的鞍点和两个代表两个暗能量主导宇宙的吸引子。然后，我们利用观测数据，包括宇宙微波背景辐射（CMB）数据、重子声学振荡（BAO）数据和Ia型超新星（SNIa）数据，对耦合广义三态暗能量模型的参数进行了约束.为了比较，我们还考虑了耦合三态暗能量模型、广义三态暗能量模型和$Λ$ CDM模型，我们发现耦合广义三态暗能量模型是唯一一个可以将$H_0$张力降低到更可接受水平的模型，其$H_0=70.1_{-1.5}^{+1.4}$ km/s/Mpc在$2.0σ$置信水平下与R19一致.我们还研究了耦合广义三态暗能量模型的最佳拟合动力学行为，并证明了我们的模型等价于五态暗能量模型，其中暗能量在早期表现为具有小的正状态方程的早期暗能量的某种形式.

英文摘要：

In this work we propose a new coupled generalized three-form dark energy model, in which dark energy are represented by a three-form field and other components are represented by ideal fluids. We first perform a dynamical analysis on the new model and obtain four fixed points, including a saddle point representing a radiation dominated Universe, a saddle point representing a matter dominated Universe, and two attractors representing two dark energy dominated Universes. We then use the observational data, including cosmic microwave background (CMB) data, baryon acoustic oscillations (BAO) data, and Type Ia supernovae (SN Ia) data to constrain the model parameters of the coupled generalized three-form dark energy model. For comparison, we also consider the coupled three-form dark energy model, generalized three-form dark energy model, and $Λ$CDM model, we find that the coupled generalized three-form dark energy model is the only one model that can reduce the $H_0$ tension to a more acceptable level, with $H_0=70.1_{-1.5}^{+1.4}$ km/s/Mpc, which is consistent with R19 at $2.0σ$ confidence level. We also investigate the best-fit dynamical behavior of the coupled generalized three-form dark energy model, and show that our model is equivalent to a quintom dark energy model, in which dark energy, at early epoch, behaves like some form of early dark energy with a small positive equation of state.

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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