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arXiv 1809.02174astro-ph.CO
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耗散统一暗流体模型

Dissipative Unified Dark Fluid Model

Esraa Elkhateeb

摘要:

考虑一个统一的耗散暗流体模型。我们的流体包含一个绝热部分和一个大的粘性部分。绝热部分具有在两个幂律之间渐近的能力,因此可以在早期和晚期的尘埃和暗能量状态方程之间进行插值。耗散部分是具有恒定粘滞系数的体粘滞部分。该模型使用相空间方法进行分析,这有助于了解模型的动态行为,在一个强大的方式,而无需参考系统的解决方案。该模型的参数受到其渐近行为的约束,也受到许多观测约束。我们使用数值方法求解哈勃参数方程,并根据最新的哈勃数据绘制结果。使用$Om(z)$测试对该模型进行测试,该测试表明,尽管该模型是一个类似于quintessence的模型,但它可以滑过体模屏障。我们通过研究宇宙的减速参数、宇宙密度、模型的有效状态方程参数及其底层的暗能量包的演化来研究模型对宇宙演化的期望。我们估计宇宙流体的现今粘性系数值为$8 \times 10^6 Pa.s$,这与许多作者的工作一致,例如,[26] Velten和Schwartz,Wang和Meng [27],Saharan和Mathew [29]。我们认为这个模型能够解释宇宙演化的行为。

英文摘要:

We consider a unified dissipative dark fluid model. Our fluid contains an adiabatic part plus a bulk viscous one. The adiabatic part has the ability to asymptote between two power laws and so can interpolate between the dust and dark energy equations of state at early and late times. The dissipative part is a bulk viscous part with constant viscosity coefficient. The model is analyzed using the phase space methodology which helps to understand the dynamical behavior of the model in a robust manner without reference to the system solution. The parameters of the model are constrained through its asymptotic behavior and also through many observational constraints. We solve the Hubble parameter equation using numerical methods and results are plotted against the newest set of Hubble data. The model is tested using the $Om(z)$ test which shows that this model although is a quintessence-like model, it slides through the phantom barrier. We study the model expectations for the evolution of the universe by studying the evolution of the deceleration parameter, the density of the universe, the effective equation of state parameter of the model and of its underlying dark energy package. We estimate the value of the present day viscosity coefficient of the cosmic fluid as $8 \times 10^6 Pa.s$, which agrees with the work of many authors, e.g., Velten and Schwartz [26], Wang and Meng [27], and Sasidharan and Mathew [29]. We argue that this model is able to explain the behavior of the universe evolution.

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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