论文标题

自动化在快速重力波定位中包含子阈值信噪比

Automating the Inclusion of Subthreshold Signal-to-Noise Ratios for Rapid Gravitational-Wave Localization

论文作者

Messick, Cody, Sachdev, Surabhi, Cannon, Kipp, Caudill, Sarah, Chan, Chiwai, Creighton, Jolien D. E., Everett, Ryan, Ewing, Becca, Fong, Heather, Godwin, Patrick, Hanna, Chad, Huxford, Rachael, Kapadia, Shasvath, Li, Alvin K. Y., Lo, Rico K. L., Magee, Ryan, Meacher, Duncan, Mohite, Siddharth R., Mukherjee, Debnandini, Nishizawa, Atsushi, Ohta, Hiroaki, Pace, Alexander, Reza, Amit, Shikauchi, Minori, Singer, Leo, Singh, Divya, SK, Javed Rana, Tsukada, Leo, Tsuna, Daichi, Tsutsui, Takuya, Ueno, Koh, Zimmerman, Aaron

论文摘要

在低延迟性中,重力波(GW)事件的准确定位是从这些灾难性事件中寻找进一步的多中间信号的关键元素。这些事件在低延迟中的定位使用了匹配过滤搜索的信噪比(SNR)时间序列,这些搜索识别候选事件。在这里,我们报告了基于GSTLAL的Inspiral Pipeline的改进,即确定GW170817和GW190425的低延迟管道,该管道自动使用GW事件快速定位的网络中所有检测器的SNR使用。在最近的第三次观察到高级LIGO和高级处女座检测器网络之前,将这种改进纳入了检测管道。以前,对于此管道,如果候选GW事件低于网络中的任何检测器,则需要手动干预使用所有检测器的SNR。从子阈值事件中使用SNR可以有意义地降低通过快速定位估计的90%置信区域的面积。为了证明这一点,我们介绍了$ \ Mathcal {o}(2 \ times10^4)$二进制中子星的模拟检测的研究。当将子阈值SNRS纳入快速本地化时,我们发现可以将其本地定位到$ 100〜 \ Mathrm {deg}^2 $或更小的事件的部分增加到因子1.18。

The accurate localization of gravitational-wave (GW) events in low-latency is a crucial element in the search for further multimessenger signals from these cataclysmic events. The localization of these events in low-latency uses signal-to-noise ratio (SNR) time-series from matched-filtered searches which identify candidate events. Here we report on an improvement to the GstLAL-based inspiral pipeline, the low-latency pipeline that identified GW170817 and GW190425, which automates the use of SNRs from all detectors in the network in rapid localization of GW events. This improvement was incorporated into the detection pipeline prior to the recent third observing run of the Advanced LIGO and Advanced Virgo detector network. Previously for this pipeline, manual intervention was required to use SNRs from all detectors if a candidate GW event was below an SNR threshold for any detector in the network. The use of SNRs from subthreshold events can meaningfully decrease the area of the 90% confidence region estimated by rapid localization. To demonstrate this, we present a study of the simulated detections of $\mathcal{O}(2\times10^4)$ binary neutron stars using a network mirroring the second observational run of the Advanced LIGO and Virgo detectors. When incorporating subthreshold SNRs in rapid localization, we find that the fraction of events that can be localized down to $100~\mathrm{deg}^2$ or smaller increases by a factor 1.18.

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