Since the late 1990’s observations of type Ia Supernova, our universe is predicted to experience a late time cosmic acceleration. Theoretical support to this observation were intended to be built via proposition of a hypothetical fluid which staying inside the universe exerts negative pressure. Cosmologists have prescribed many candidates for this exotic fluid so far. In this alley, a popular method is to choose time dependent equation of state parameter ω = p ρ $\omega = \frac{p}{\rho }$ and to parametrize it as a function of redshift. Again some common families of such parametrizations are constructed among which different members justify different properties of observed universe. Mainly, these were model dependent studies which comprise free parameters to be constrained by different observations. In this present article, a new expression for redshift parametrization is considered and we have constrain its free parameters for two Hubble parameter vs redshift data sets. These data sets are obtained depending on two basic methodologies known as different ages method and baryonic acoustic oscillation method. Different confidence contours for our model are located under the constraints of said data sets. Besides, different thermodynamic parameters related to the evolution of our universe are analysed. It is notified that our model indicates towards a delayed dark matter model which mimics EoS = − 1 ( Λ ) $-1(\Lambda )$ phenomena at the present epoch. Deceleration parameters behaviour’s are studied. It is noticed that a possibility of future deceleration may occur for this new model. Outcomes for both the data sets are compared with each other.

中文翻译：

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对新暗能量 EoS 模型的自由参数施加约束：通过宇宙学行为的响应

自 1990 年代后期对 Ia 型超新星的观测以来，我们的宇宙预计将经历后期宇宙加速。对这一观察的理论支持旨在通过假设流体存在于宇宙内部施加负压的命题来建立。迄今为止，宇宙学家已经为这种奇异的液体开了许多候选药物。在这条巷子里，一种流行的方法是选择状态参数的时间相关方程 ω = p ρ $\omega = \frac{p}{\rho }$ 并将其参数化为红移的函数。再次构建了一些此类参数化的常见系列，其中不同的成员证明了观察到的宇宙的不同属性。这些主要是依赖于模型的研究，其中包括受不同观察结果约束的自由参数。在本文中，考虑了红移参数化的新表达式，并且我们已针对两个哈勃参数与红移数据集限制其自由参数。这些数据集是根据称为不同年龄法和重子声波振荡法的两种基本方法获得的。我们模型的不同置信度轮廓位于所述数据集的约束下。此外，还分析了与宇宙演化相关的不同热力学参数。值得注意的是，我们的模型表明了一个延迟的暗物质模型，该模型模拟了当前时代的 EoS = − 1 ( Λ ) $-1(\Lambda )$ 现象。研究了减速参数行为。值得注意的是，这款新车型未来可能会出现减速。两个数据集的结果相互比较。