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arXiv 2401.03413astro-ph.CO
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利用最新HII区与H(z)观测对宇宙曲率与不透明度的同时测量

Simultaneous measurements on cosmic curvature and opacity using latest HII regions and $H(z)$ observations

Ying Yang, Tonghua Liu, Jiayuan Huang, Xiaolan Cheng, Marek Biesiada, Shu-min Wu

AI总结:

本文提出一种模型无关方法,利用HII星系和哈勃参数观测同时测量宇宙曲率与不透明度,发现二者存在强简并性,并在1σ置信水平下支持略微不透明且平坦的宇宙。

摘要:

宇宙的不同空间曲率会影响宇宙学距离的测量,这可能也有助于解释观测到的Ia型超新星变暗现象。这种现象可能是由宇宙的不透明度引起的。同样,宇宙的不透明度也会导致我们对曲率的测量产生偏差。因此,有必要同时测量宇宙曲率和不透明度。本文提出了一种新的模型无关方法,利用作为标准烛光的最新HII星系观测和最新的哈勃参数观测,同时测量宇宙曲率和不透明度。采用机器学习方法——人工神经网络来重构观测到的哈勃参数H(z)观测数据。通过使用先前的156个HII区样本,我们的结果在1σ置信水平上支持一个略微不透明且平坦的宇宙。然而,使用最新的181个HII区样本在红移范围z~2.5内得到了负曲率。更重要的是,我们获得了宇宙不透明度Δτ~10^-2和曲率ΔΩ_K~10^-1的高精度同时测量结果。分析还揭示了宇宙不透明度与曲率参数之间存在强烈的简并性。

英文摘要:

The different spatial curvatures of the universe affect the measurement of cosmological distances, which may also contribute to explaining the observed dimming of type Ia supernovae. This phenomenon may be caused by the opacity of the universe. Similarly, the opacity of the universe can lead to a bias in our measurements of curvature. Thus, it is necessary to measure cosmic curvature and opacity simultaneously. In this paper, we propose a new model-independent method to simultaneously measure the cosmic curvature and opacity by using the latest observations of HII galaxies acting as standard candles and the latest Hubble parameter observations. The machine learning method-Artificial Neural Network is adopted to reconstruct observed Hubble parameter $H(z)$ observations. Our results support a slightly opaque and flat universe at $1σ$ confidence level by using previous 156 HII regions sample. However, the negative curvature is obtained by using the latest 181 HII regions sample in the redshift range $z\sim 2.5$. More importantly, we obtain the simultaneous measurements with precision on the cosmic opacity $\rmΔτ\sim 10^{-2}$ and curvature $\rmΔΩ_K\sim 10^{-1}$. A strong degeneracy between the cosmic opacity and curvature parameters is also revealed in this analysis.

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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