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arXiv 2304.09889astro-ph.HEgr-qc
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利用单台宇宙探索者(Cosmic Explorer)实现双中子星并合的定位

Localization of binary neutron star mergers with a single Cosmic Explorer

Pratyusava Baral, Soichiro Morisaki, Ignacio Magaña Hernandez, Jolien D. E. Creighton

AI总结:

本研究针对单台下一代引力波探测器CE的定位问题,构建纳入地球自转、频率相关效应的贝叶斯参数估计框架,发现最优信噪比1000时双中子星定位天区可低至10平方度,并指出忽略该效应会引发推断偏差。

摘要:

下一代地面引力波探测器,例如宇宙探索者(Cosmic Explorer,简称CE),预计将对低至5 Hz的引力波信号具备灵敏度,使得信号能够在探测器频段内停留相当长的时间。因此,地球自转对这类信号产生的效应变得愈发重要。此外,这类探测器的臂长可与可探测引力波的波长相媲美,这会引入在当前一代探测器中并不显著的频率相关效应。这些效应有望提升即使仅使用单台探测器时对致密双体并合事件的天区定位能力。本研究旨在探明这些效应对定位的助力程度。我们利用常用的贝叶斯参数估计工具\textsc{Bilby},提出了首个纳入所有上述效应的综合性贝叶斯参数估计框架。我们聚焦于在单台探测器达到CE预计灵敏度、最优信噪比为1000的条件下,双中子星事件的天区定位约束。研究发现,这些效应助力单台探测器实现源定位,天区面积可低至10平方度。此外,我们还探究并讨论了在参数估计中忽略这些效应可能导致的推断偏差。

英文摘要:

Next-generation ground-based gravitational-wave detectors, such as Cosmic Explorer (CE), are expected to be sensitive to gravitational-wave signals with frequencies as low as 5 Hz, allowing signals to spend a significant amount of time in the detector frequency band. As a result, the effects caused by the rotation of the Earth become increasingly important for such signals. Additionally, the length of the arms of these detectors can be comparable to the wavelength of detectable gravitational waves, which introduces frequency-dependent effects that are not significant in current-generation detectors. These effects are expected to improve the ability to localize compact binary coalescences in the sky even when using only one detector. This study aims to understand how much these effects can help in localization. We present the first comprehensive Bayesian parameter estimation framework that accounts for all these effects using \textsc{Bilby}, a commonly used Bayesian parameter estimation tool. We focus on sky localization constraints for binary neutron star events with an optimal signal-to-noise ratio of 1000 with one detector at the projected CE sensitivity. We find that these effects help localize sources using one detector with sky areas as low as 10 square degrees. Moreover, we explore and discuss how ignoring these effects in the parameter estimation can lead to biases in the inference.

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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