UniMAP: model-free detection of unclassified noise transients in LIGO-Virgo data using the temporal outlier factor
@article{Ding2021UniMAPMD, 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={2021}, 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…
One Citation
Characterization of gravitational-wave detector noise with fractals
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