标题： PINCH：LIGO第三次观测运行中的管道信息噪声表征 显示英文标题

标题： PINCH: Pipeline-Informed Noise Characterization in LIGO's Third Observing Run

摘要： 我们提出一种方法，利用支持向量机（SVM）分类器，识别和分类由匹配滤波引力波搜索（管道）引起的瞬态噪声（故障）在引力波探测器中产生的引力波候选触发。我们的方法涉及在超出噪声高峰期的管道触发上训练SVM模型，以区分由随机噪声引起的触发和由故障引起的触发。该方法独立应用于GstLAL搜索管道在O3观测运行后半期的LIGO Hanford和Livingston观测站数据所产生的触发。训练好的SVM模型为模糊触发分配分数，量化它们与由随机波动引起的触发的相似性，得分高于定义阈值的触发被分类为故障引起的。对这些触发的分析揭示了不同故障类别对搜索管道的不同影响，包括它们在相关参数空间中的分布。我们使用诸如巴塔恰里亚系数和过度表示比率等指标来量化故障影响在时间和参数空间中的一致性和普遍性。我们的研究结果表明，某些故障类型在参数空间的特定区域持续产生触发，而其他故障类型产生的触发则分布更广。我们观察到，散射光故障在安装更改前后在搜索管道中表现不同，展示了此类探测器更改如何出现在管道对某些故障类别的响应中。该方法提供了一个框架，用于理解和减轻非高斯瞬态对引力波搜索管道的影响，对于提高检测灵敏度和更好地理解噪声种群具有重要意义。 显示英文摘要

摘要： We present a method to identify and categorize gravitational wave candidate triggers identified by matched filtering gravitational wave searches (pipelines) caused by transient noise (glitches) in gravitational wave detectors using Support Vector Machine (SVM) classifiers. Our approach involves training SVM models on pipeline triggers which occur outside periods of excess noise to distinguish between triggers caused by random noise and those induced by glitches. This method is applied independently to the triggers produced by the GstLAL search pipeline on data from the LIGO Hanford and Livingston observatories during the second half of the O3 observing run. The trained SVM models assign scores to ambiguous triggers, quantifying their similarity to triggers caused by random fluctuations, with triggers with scores above a defined threshold being classified as glitch-induced. Analysis of these triggers reveals the distinct impact of different glitch classes on the search pipeline, including their distribution in relevant parameter spaces. We use metrics such as the Bhattacharyya coefficient and an over-representation ratio to quantify the consistency and prevalence of glitch impacts over time and across parameter spaces. Our findings indicate that some glitch types consistently produce triggers in specific regions of the parameter space, while others generate triggers that are more widely distributed. We observe that Scattered Light glitches appear differently in the search pipeline before and after a commissioning change, demonstrating how such detector changes appear in the pipeline's response to certain glitch classes. This method provides a framework for understanding and mitigating the influence of non-Gaussian transients on gravitational wave search pipelines, with implications for improving detection sensitivity and better understanding noise populations.