论文标题
在非平稳噪声中紧凑的二元聚结搜索的动态归一化
Dynamic Normalization for Compact Binary Coalescence Searches in Non-Stationary Noise
论文作者
论文摘要
引力波干涉仪的输出，例如Ligo和处女座，可能是高度非平稳的。宽带检测器噪声会影响探测器的敏感性在数十秒钟的顺序上。重力波瞬态搜索，例如用于碰撞黑洞的搜索，估计了这种噪音，以识别引力波事件。在非平稳性时期，我们看到报告的虚假事件率更高。要准确地将信号与噪声分开，必须将变化的检测器状态纳入重力波搜索中。我们开发了一个新的统计量，该统计量估计了干涉检测器噪声的变化。我们使用此统计量来重新排列Ligo-Virgo在Pycbc搜索管道运行的第二次观察期间确定的候选事件。这会导致低质量二进制组，尤其是二元中子星合并的灵敏度量提高5％。
The output of gravitational-wave interferometers, such as LIGO and Virgo, can be highly non-stationary. Broadband detector noise can affect the detector sensitivity on the order of tens of seconds. Gravitational-wave transient searches, such as those for colliding black holes, estimate this noise in order to identify gravitational-wave events. During times of non-stationarity we see a higher rate of false events being reported. To accurately separate signal from noise, it is imperative to incorporate the changing detector state into gravitational-wave searches. We develop a new statistic which estimates the variation of the interferometric detector noise. We use this statistic to re-rank candidate events identified during LIGO-Virgo's second observing run by the PyCBC search pipeline. This results in a 5% improvement in the sensitivity volume for low mass binaries, particularly binary neutron stars mergers.
