arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2107.05044astro-ph.CO
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标量场宇宙中状态方程参数的最简参数化

The simplest parametrization of equation of state parameter in the scalar field Universe

Preeti Shrivastava, A. J. Khan, G. K. Goswami, Anil Kumar Yadav, J. K. Singh

AI总结:

本文利用H(z)、Pantheon和BAO数据约束标量场宇宙模型的最简状态方程参数化,得到哈勃常数、宇宙年龄和减速参数,并通过状态寻找者诊断揭示暗能量本质。

摘要:

在本文中,我们研究了一个加速宇宙的标量场宇宙学模型,该模型采用标量场状态方程参数的最简参数化形式。我们利用$H(z)$数据、Ia型超新星的Pantheon样本数据以及重子声学振荡(BAO)数据,通过$\chi^{2}$最小化技术来约束模型参数。我们分别从$H(z)$、$H(z)$+Pantheon和$H(z)$+BAO数据组合中获得了当前哈勃常数$H_{0}$的值,分别为$66.2^{+1.42}_{-1.34}$、$70.7^{+0.32}_{-0.31}$和$67.74^{+1.24}_{-1.04}$。此外,我们估算了所推导模型中宇宙的当前年龄,对于联合$H(z)$和Ia型超新星Pantheon样本数据,得到$t_{0} = 14.38^{+0.63}_{-0.64}$,该值与Plank合作组获得的经验值之间仅有$0.88\sigma$的张力。再者,通过分别使用$H(z)$、$H(z)$+Pantheon样本和$H(z)$+BAO数据集对推导模型中的宇宙进行约束,得到的当前减速参数$q_{0}$的值分别为$-0.55^{+0.031}_{-0.038}$、$-0.61^{+0.030}_{-0.021}$和$-0.627^{+0.022}_{-0.025}$。我们还执行了状态寻找者诊断,以揭示暗能量的本质。

英文摘要:

In this paper, we have investigated a scalar field cosmological model of accelerating Universe with the simplest parametrization of equation of state parameter of the scalar field. We used $H(z)$ data, pantheon compilation of SN Ia data and BAO data to constrained the model parameters using $χ^{2}$ minimization technique. We obtain the present values of Hubble constant $H_{0}$ as $66.2^{+1.42}_{-1.34}$, $70.7^{+0.32}_{-0.31}$ and $67.74^{+1.24}_{-1.04}$ for $H(z)$, $H(z)$ + Pantheon and $H(z)$ + BAO respectively. Also, we have estimated the present age of the Universe in derived model $t_{0} = 14.38^{+0.63}_{-0.64}$ for joint $H(z)$ and pantheon compilation of SN Ia data which has only $0.88~σ$ tension with its empirical value obtained in Plank collaboration \cite{Ade/2016}. Moreover, the present values of the deceleration parameter $q_{0}$ come out to be $-0.55^{+0.031}_{-0.038}$, $-0.61^{+0.030}_{-0.021}$ and $-0.627^{+0.022}_{-0.025}$ by bounding the Universe in derived model with $H(z)$, $H(z)$ + Pantheon compilation of SN Ia and $H(z)$ + BAO data sets respectively. We also have performed the state-finder diagnostics to discover the nature of dark energy.

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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