论文标题
利用Aligo故障分类来验证重力波候选
Utilizing aLIGO Glitch Classifications to Validate Gravitational-Wave Candidates
论文作者
论文摘要
高级Ligo数据包含许多噪声瞬变或“故障”，这些噪声瞬变已显示出通过增加随机巧合的速率，从而降低了匹配的滤波器搜索对紧凑型二进制的重力波的敏感性。这些瞬态的存在促成了广泛的工作，以确定观察到的重力波事件本质上是天体物理的。我们讨论了PYCBC搜索从恒星质量二进制的引力波到在高级Ligo的第一和第二观察过程中观察到的各种常见小故障的反应。我们展示了这些瞬态如何模仿紧凑型二进制合并的波形，并量化给定的小故障会在搜索管道中产生触发因素的可能性。我们探讨了与不同小故障类最相似的特定波形参数，并在评估重力波候选物的意义时如何使用这些相似性的知识。
Advanced LIGO data contains numerous noise transients, or "glitches", that have been shown to reduce the sensitivity of matched filter searches for gravitational waves from compact binaries by increasing the rate at which random coincidences occur. The presence of these transients has precipitated extensive work to establish that observed gravitational wave events are astrophysical in nature. We discuss the response of the PyCBC search for gravitational waves from stellar mass binaries to various common glitches that were observed during Advanced LIGO's first and second observing runs. We show how these transients can mimic waveforms from compact binary coalescences and quantify the likelihood that a given class of glitches will create a trigger in the search pipeline. We explore the specific waveform parameters that are most similar to different glitch classes and demonstrate how knowledge of these similarities can be used when evaluating the significance of gravitational-wave candidates.
