论文标题
将PYCBC搜索引力波从紧凑的二进制合并扩展到全球网络
Extending the PyCBC search for gravitational waves from compact binary mergers to a global network
论文作者
论文摘要
到目前为止，全球高级重力波（GW）检测器网络主要由汉福德和利文斯顿的两个先进的Ligo天文台组成，高级处女座加入了2016-7 O2观测在相对较晚的阶段。但是，自O3运行以来，处女座一直与Ligo探测器一起观察。在不久的将来，Kagra探测器将加入全球网络，印度的进一步的LIGO探测器正在建设中。因此，重力波搜索方法将受益于从任意检测器网络中分析数据的能力。在本文中，我们将PYCBC离线紧凑型二进制合并（CBC）搜索分析扩展到三个或更多探测器，并描述对一致的搜索和事件排名统计量的结果更新。对于三探测器网络，我们改进的多探测器搜索在理想化的彩色高斯噪声中以固定的错误警报速率发现了23％的模拟信号，与先前在O2期间使用的两探测器分析相比，实际数据中的模拟信号高达40％。
The worldwide advanced gravitational-wave (GW) detector network has so far primarily consisted of the two Advanced LIGO observatories at Hanford and Livingston, with Advanced Virgo joining the 2016-7 O2 observation run at a relatively late stage. However Virgo has been observing alongside the LIGO detectors since the start of the O3 run; in the near future, the KAGRA detector will join the global network and a further LIGO detector in India is under construction. Gravitational-wave search methods would therefore benefit from the ability to analyse data from an arbitrary network of detectors. In this paper, we extend the PyCBC offline compact binary coalescence (CBC) search analysis to three or more detectors, and describe resulting updates to the coincident search and event ranking statistic. For a three-detector network, our improved multi-detector search finds 23% more simulated signals at fixed false alarm rate in idealized colored Gaussian noise, and up to 40% more in real data, compared to the two-detector analysis previously used during O2.
