arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2302.08889astro-ph.COgr-qchep-ph
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利用最新 $H(z)$ 与 SNe Ia 数据对宇宙曲率进行模型无关测量:一项全面研究

Model-independent measurement of cosmic curvature with the latest $H(z)$ and SNe Ia data: A comprehensive investigation

Jing-Zhao Qi, Ping Meng, Jing-Fei Zhang, Xin Zhang

AI总结:

本文利用最新 $H(z)$ 和 SNe Ia 数据,通过高斯过程与人工神经网络两种模型无关重建方法测量宇宙曲率 $Ω_k$,发现 GP 方法精度最高并支持平坦宇宙,同时揭示重建方法选择会影响曲率估计结果。

摘要:

在早期宇宙与晚期宇宙存在差异的背景下,我们强调在晚期宇宙中对宇宙曲率进行独立测量的重要性。我们利用最新的哈勃参数 $H(z)$ 测量数据和 Ia 型超新星(SNe Ia)数据,对晚期宇宙中的宇宙曲率参数 $Ω_k$ 进行了模型无关测量研究。为此,我们使用两种重建方法,即高斯过程(GP)方法和人工神经网络(ANN)方法,从 $H(z)$ 数据实现距离重建。我们的分析表明,GP 方法给出了对 $Ω_k$ 最精确的约束,约束精度为 $ξ(Ω_k)=0.13$,超过了近期使用类似方法得到的估计结果。GP 方法一致表明在 2$σ$ 置信水平上倾向于平坦宇宙。此外,我们发现重建方法的选择会影响 $Ω_k$ 的估计。ANN 重建方法对加入 BAO $H(z)$ 数据表现出更高的敏感性,从而获得与 GP 方法相当的约束精度。这两种重建方法得到的最佳拟合值之间存在差异,表明它们依赖于所采用的重建方法。然而,我们预期随着观测 $H(z)$ 数据样本量和精度的提高,利用该方法对 $Ω_k$ 的估计将变得更加稳健和可靠。

英文摘要:

In the context of the discrepancies between the early and late universe, we emphasize the importance of independent measurements of the cosmic curvature in the late universe. We present an investigation of the model-independent measurement of the cosmic curvature parameter $Ω_k$ in the late universe with the latest Hubble parameter $H(z)$ measurements and type Ia supernovae (SNe Ia) data. For that, we use two reconstruction methods, the Gaussian process (GP) and artificial neural network (ANN) methods, to achieve the distance construction from $H(z)$ data. Our analysis reveals that the GP method provides the most precise constraint on $Ω_k$, with a constraint precision of $ξ(Ω_k)=0.13$, surpassing recent estimations using similar methods. The GP method consistently indicates a preference for a flat universe at the 2$σ$ confidence level. Moreover, we find that the choice of reconstruction method influences the estimation of $Ω_k$. The ANN reconstruction method exhibits higher sensitivity to the addition of BAO $H(z)$ data, resulting in comparable constraint precision to the GP method. A discrepancy exists between the best-fit values obtained by these two reconstruction methods, indicating their dependence on the reconstruction approach. However, we anticipate that with the improvement of sample size and precision of observational $H(z)$ data, the estimation of $Ω_k$ using this approach will become more robust and reliable.

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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