arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1707.04152astro-ph.COgr-qc
收藏

强透镜引力波和电磁信号作为强有力的宇宙规则

Strongly Lensed Gravitational Waves and Electromagnetic Signals as Powerful Cosmic Rulers

Jun-Jie Wei, Xue-Feng Wu

备注：
Updated to match the published version in MNRAS
发表信息：
MNRAS 472, 2906 (2017)
阅读 PDF
arXiv 页面 ↗HTML 原文 ↗

摘要：

在本文中，我们讨论了使用强透镜引力波（GW）和它们的电磁波（EM）作为强大的宇宙标尺的可能性。在EM域中，已经提出了透镜类星体图像之间的时间延迟（$Δτ$）和透镜星系的速度色散（$σ$）（即，组合$Δτ/σ^{2}$）能够比单独的$Δτ$或$σ^{2}$更强地约束宇宙学参数。在这里，第一次，我们提出，这种$Δτ/σ^{2}$方法可以应用于观察到的GW和EM窗口的强透镜系统。结合红移，图像和$σ$在EM域中观察到的非常精确的$Δτ$来自透镜GW信号，我们预计，准确的多信使宇宙学可以实现在第三代GW探测器的时代。通过与$Δτ$方法的约束条件的比较，证明了利用$Δτ/σ^{2}$方法可以提高宇宙学模型之间的区分度。此外，我们表明，与$\sim50$强透镜GW-EM系统，我们可以达到一个约束的暗能量状态方程$w$相媲美的580 Union2.1 Ia型超新星的数据。当结合$Δτ$和$Δτ/σ^{2}$方法时，可以获得对$w$的更严格的约束。

英文摘要：

In this paper, we discuss the possibility of using strongly lensed gravitational waves (GWs) and their electromagnetic (EM) counterparts as powerful cosmic rulers. In the EM domain, it has been suggested that joint observations of the time delay ($Δτ$) between lensed quasar images and the velocity dispersion ($σ$) of the lensing galaxy (i.e., the combination $Δτ/σ^{2}$) are able to constrain the cosmological parameters more strongly than $Δτ$ or $σ^{2}$ separately. Here, for the first time, we propose that this $Δτ/σ^{2}$ method can be applied to the strongly lensed systems observed in both GW and EM windows. Combining the redshifts, images and $σ$ observed in the EM domain with the very precise $Δτ$ derived from lensed GW signals, we expect that accurate multimessenger cosmology can be achieved in the era of third-generation GW detectors. Comparing with the constraints from the $Δτ$ method, we prove that using $Δτ/σ^{2}$ can improve the discrimination between cosmological models. Furthermore, we demonstrate that with $\sim50$ strongly lensed GW-EM systems, we can reach a constraint on the dark energy equation of state $w$ comparable to the 580 Union2.1 Type Ia supernovae data. Much more stringent constraints on $w$ can be obtained when combining the $Δτ$ and $Δτ/σ^{2}$ methods.

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。

↑