论文标题
将统计数据质量信息纳入GSTLAL搜索分析
Incorporation of Statistical Data Quality Information into the GstLAL Search Analysis
论文作者
论文摘要
我们向Advanced Ligo和处女座的第三次观察运行中介绍了GSTLAL（GSTLAL），这是一种匹配的过滤器重力波搜索管道。我们将讨论将统计数据质量信息的纳入GSTLAL的多维似然比排名统计量和额外改进，以搜索仅在一个检测器中发现的引力波候选者。 Statistical data quality information is provided by iDQ, a data quality pipeline that infers the presence of short-duration transient noise in gravitational-wave data using the interferometer's auxiliary state, which has operated in near real-time since before LIGO's first observing run in 2015. We look at the performance and impact on noise rejection by the inclusion of iDQ information in GstLAL's ranking statistic, and discuss GstLAL results in the GWTC-2目录，专注于两个案例研究； GW190424A是GSTLAL发现的一次单探测器引力波，在利文斯顿的一段时间受雷暴影响。
We present updates to GstLAL, a matched filter gravitational-wave search pipeline, in Advanced LIGO and Virgo's third observing run. We discuss the incorporation of statistical data quality information into GstLAL's multi-dimensional likelihood ratio ranking statistic and additional improvements to search for gravitational wave candidates found in only one detector. Statistical data quality information is provided by iDQ, a data quality pipeline that infers the presence of short-duration transient noise in gravitational-wave data using the interferometer's auxiliary state, which has operated in near real-time since before LIGO's first observing run in 2015. We look at the performance and impact on noise rejection by the inclusion of iDQ information in GstLAL's ranking statistic, and discuss GstLAL results in the GWTC-2 catalog, focusing on two case studies; GW190424A, a single-detector gravitational-wave event found by GstLAL and a period of time in Livingston impacted by a thunderstorm.
