论文标题
使用Q变换来确定来自紧凑型二元凝固的重力波信号附近的故障
Identifying glitches near gravitational-wave signals from compact binary coalescences using the Q-transform
论文作者
论文摘要
我们提出了一种计算方法，以识别紧凑型二进制合并的重力波信号附近发生的重力波数据中的故障。 Q-Transform是Ligo-Virgo-Kagra数据分析中已建立的工具，它计算出与高斯噪声背景的假设相对于信号的数据中任何过量的概率，并标记了任何明显的故障。随后，我们对这种计算方法执行验证测试，以确保在使用最佳拟合模板减去信号后，在彩色高斯噪声中自一度自符合性测试以及包含重力波事件的数据。最后，对我们的小故障识别结果的比较来自Ligo-Virgo的第三个观察结果与需要缓解小故障的事件列表的真实事件的结果，该事件表明，该工具将有助于提供有关数据质量的精确信息，以改善这些事件的天体物理分析。
We present a computational method to identify glitches in gravitational-wave data that occur nearby gravitational-wave signals from compact binary coalescences. The Q-transform, an established tool in LIGO-Virgo-KAGRA data analysis, computes the probability of any excess in the data surrounding a signal against the assumption of a Gaussian noise background, flagging any significant glitches. Subsequently, we perform validation tests on this computational method to ensure self-consistency in colored Gaussian noise, as well as data that contains a gravitational-wave event after subtracting the signal using the best-fit template. Finally, a comparison of our glitch identification results from real events in LIGO-Virgo's third observing run against the list of events which required glitch mitigation shows that this tool will be useful in providing precise information about data quality to improve astrophysical analyses of these events.
