论文标题
长持续时间重力波瞬变中的基于CHIRP质量的小故障识别
Chirp mass based glitch identification in long duration gravitational wave transients
论文作者
论文摘要
基于地面的干涉重力波检测器（GW）的数据通常是由高度局部的短期小故障伪装的，这对任何瞬态GW搜索都构成了严重的挑战。在这项工作中，我们提出了一种小故障识别算法，以及时长时间的GW瞬态而存在。我们在Q传输中的不同Q平面上设置了CHIRP质量一致性参数。我们在观察跑步的各种短持续时间毛刺中测试了该算法以及持续时间二进制二进制二进制信号。该算法的通用低质量和低偏心二进制系统的演示显示了它在长时间未建模的搜索中的直接应用。
The data from the ground-based interferometric gravitational wave detectors(GW) is often masqueraded by highly localised short-duration glitches which pose a serious challenge for any transient GW search. In this work, we propose a glitch identification algorithm for the scenario of presence of a glitch along with a long duration GW transient. We device the chirp mass consistency parameter across different Q planes in the Q-transform. We test this algorithm over a variety of short duration glitches from the observing runs along with a long duration binary inspiral signal. The demonstration of this algorithm for a generic low mass and low eccentricity binary systems shows the direct application of it in the long duration unmodeled searches.
