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arXiv 0904.3550astro-ph.CO
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联合SNIa运动学模型的贝叶斯分析及约束条件

Bayesian Analysis and Constraints on Kinematic Models from Union SNIa

A. C. C. Guimarães, J. V. Cunha, J. A. S. Lima

摘要:

利用Union Compilation数据集中的307颗Ia型超新星研究了宇宙的运动学膨胀历史。三个简单的模型参数化的减速参数(常数,线性和突变)和两个不同的模型,明确参数化的宇宙加加速度参数(常数和变量)被认为是。采用似然法和贝叶斯分析来寻找最佳拟合参数,并在模型之间以及与平面$Λ$ CDM模型进行比较。给出了减速和宇宙急动参数($q_0$和$j_0$)以及从过去的宇宙减速阶段到当前的宇宙加速阶段之间的跃迁红移($z_t$)的解析表达式和估计。所有的模型都描述了今天宇宙的加速膨胀,并在很大程度上表明它在过去是减速的,有一个大约0.5的跃迁红移。宇宙的颠簸并没有受到目前超新星数据的强烈约束。对于最真实的运动学模型,$1σ$置信限意味着以下值范围:$q_0\in[-0.96,-0.46]$、$j_0\in[-3.2,-0.3]$和$z_t\in[0.36,0.84]$,它们与$Λ$ CDM预测、$q_0=-0.57\pm0.04$、$j_0=-1$和$z_t=0.71\pm0.08$兼容。我们发现,即使是非常简单的运动学模型是同样好的描述数据相比,和谐$Λ$ CDM模型,目前的观察是不够强大,以区分所有这些。

英文摘要:

The kinematic expansion history of the universe is investigated by using the 307 supernovae type Ia from the Union Compilation set. Three simple model parameterizations for the deceleration parameter (constant, linear and abrupt transition) and two different models that are explicitly parametrized by the cosmic jerk parameter (constant and variable) are considered. Likelihood and Bayesian analyses are employed to find best fit parameters and compare models among themselves and with the flat $Λ$CDM model. Analytical expressions and estimates for the deceleration and cosmic jerk parameters today ($q_0$ and $j_0$) and for the transition redshift ($z_t$) between a past phase of cosmic deceleration to a current phase of acceleration are given. All models characterize an accelerated expansion for the universe today and largely indicate that it was decelerating in the past, having a transition redshift around 0.5. The cosmic jerk is not strongly constrained by the present supernovae data. For the most realistic kinematic models the $1σ$ confidence limits imply the following ranges of values: $q_0\in[-0.96,-0.46]$, $j_0\in[-3.2,-0.3]$ and $z_t\in[0.36,0.84]$, which are compatible with the $Λ$CDM predictions, $q_0=-0.57\pm0.04$, $j_0=-1$ and $z_t=0.71\pm0.08$. We find that even very simple kinematic models are equally good to describe the data compared to the concordance $Λ$CDM model, and that the current observations are not powerful enough to discriminate among all of them.

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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