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arXiv 2408.02534astro-ph.HEgr-qc
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量化中子星-黑洞并合产生的引力波与快速射电暴之间的符合度

Quantifying the coincidence between gravitational waves and fast radio bursts from neutron star - black hole mergers

Teagan A. Clarke, Nikhil Sarin, Eric J. Howell, Paul D. Lasky, Eric Thrane

AI总结:

本文通过模拟数据计算后验几率,研究中子星-黑洞并合与快速射电暴的符合关联,提出需同时满足时间和天空位置符合且网络信噪比大于10才能可靠确认共同源,并可用于区分不同的快速射电暴产生机制。

摘要:

快速射电暴(FRBs)是神秘的瞬变天体事件,其起源和机制仍不清楚。致密天体并合可能是产生部分快速射电暴的一个有前景的渠道。中子星-黑洞(NSBH)并合可以通过涉及中子星潮汐瓦解或磁层扰动的机制产生快速射电暴。这可能为多信使引力波观测提供机会,从而为快速射电暴的本质和核物质提供新的认识。然而,部分引力波信号可能是信噪比小于8的边缘探测,或者具有较大的天空定位和距离不确定性,这使得将快速射电暴与引力波信号可靠地关联起来并不直接。因此,必须注意避免假阳性关联。我们利用模拟数据演示如何做到这一点。我们计算了后验几率——这是我们对同时发生的中子星-黑洞并合与快速射电暴具有共同起源相对于无关起源的相对信念的度量。我们发现,来自共同源的符合快速射电暴+中子星-黑洞并合事件,在至少包含两个观测站的网络中能够产生统计显著的后验几率,但前提是我们同时要求时间和天空位置上的符合,而不仅仅是时间上的符合。然而,我们发现,对于我们的模型,当使用对数几率大于8的阈值时,需要网络信噪比大于10才能对共同源探测具有信心。我们认为,符合的中子星-黑洞并合+快速射电暴探测可以通过区分瓦解模型和非瓦解模型来帮助辨别不同的快速射电暴引擎。

英文摘要:

Fast radio bursts (FRBs) are mysterious astrophysical transients whose origin and mechanism remain unclear. Compact object mergers may be a promising channel to produce some FRBs. Neutron star-black hole (NSBH) mergers could produce FRBs through mechanisms involving neutron star tidal disruption or magnetospheric disturbances. This could present an opportunity for multi-messenger gravitational-wave observations, providing new insight into the nature of FRBs and nuclear matter. However, some of the gravitational-wave signals may be marginal detections with signal-to-noise ratios < 8 or have large sky location and distance uncertainties, making it less straightforward to confidently associate an FRB with the gravitational-wave signal. One must therefore take care to avoid a false positive association. We demonstrate how to do this with simulated data. We calculate the posterior odds -- a measurement of our relative belief for a common versus unrelated origin of a coincident NSBH and FRB. We find that a coincident FRB+NSBH from a common source can yield a statistically significant posterior odds in a network with at least two observatories, but only if we require a coincidence in time and and sky location, rather than time alone. However, we find that for our model, we require a network signal-to-noise ratio greater than 10 to be confident in the common-source detection, when using a threshold of ln odds > 8. We suggest that a coincident NSBH+FRB detection could help distinguish between FRB engines by discriminating between disrupting and non-disrupting models.

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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