UniMAP: model-free detection of unclassified noise transients in LIGO-Virgo data using the temporal outlier factor

@article{Ding2022UniMAPMD,
  title={UniMAP: model-free detection of unclassified noise transients in LIGO-Virgo data using the temporal outlier factor},
  author={J Ding and Ray Ng and Jess McIver},
  journal={Classical and Quantum Gravity},
  year={2022},
  volume={39}
}
Data from current gravitational wave detectors contains a high rate of transient noise (glitches) that can trigger false detections and obscure true astrophysical events. Existing noise-detection algorithms largely rely on model-based methods that may miss noise transients unwitnessed by auxiliary sensors or with exotic morphologies. We propose the unicorn multi-window anomaly-detection pipeline: a model-free algorithm to identify and characterize transient noise leveraging the temporal outlier… 
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