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[ascl:2111.014] UniMAP: Unicorn Multi-window Anomaly Detection Pipeline

The data analysis UniMAP (Unicorn Multi-window Anomaly Detection Pipeline) leverages the Temporal Outlier Factor (TOF) method to find anomalies in LVC data. The pipeline requires a target detector and a start and stop GPS time describing a time interval to analyze, and has three outputs: 1.) an array of GPS times corresponding to TOF detections; 2.) a long q-transform of the entire data interval with visualizations of the TOF detections in the time series; and 3.) q-transforms of the data windows that triggered TOF detections.

Code site:
https://github.com/JulianZDing/UniMAP
Described in:
https://ui.adsabs.harvard.edu/abs/2021arXiv211109465D
Bibcode:
2021ascl.soft11014D

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ascl:2111.014
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