Glitch veto based on unphysical gravitational wave binary inspiral templates
arxiv(2024)
摘要
Transient signals arising from instrumental or environmental factors,
commonly referred to as glitches, constitute the predominant background of
false alarms in the detection of gravitational waves in data collected from
ground-based detectors. Therefore, effective data analysis methods for vetoing
glitch-induced false alarms are crucial to enhancing the sensitivity of a
search for gravitational waves. We present a veto method for glitches that
impact matched filtering-based searches for binary inspiral signals. The veto
uses unphysical sectors in the space of chirp time parameters as well as an
unphysical extension including negative chirp times to efficiently segregate
glitches from gravitational wave signals in data from a single detector.
Inhabited predominantly by glitches but nearly depopulated of genuine
gravitational wave signals, these unphysical sectors can be efficiently
explored using Particle Swarm Optimization. In a test carried out on data taken
from both LIGO detectors spanning multiple observation runs, the veto was able
to reject 99.9% of glitches with no loss of injected signals detected with a
signal-to-noise ratio ≥ 9.0. Our results show that extending a matched
filter search to unphysical parts of a signal parameter space promises to be an
effective strategy for mitigating glitches.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要