From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations

arXiv:2403.10220v1 Announce Type: new
Abstract: With the development of astronomical facilities, large-scale time series data observed by these facilities is being collected. Analyzing anomalies in these astronomical observations is crucial for uncovering potential celestial events and physical phenomena, thus advancing the scientific research process. However, existing time series anomaly detection methods fall short in tackling the unique characteristics of astronomical observations where each star is inherently independent but interfered by random concurrent noise, resulting in a high rate of false …

abstract anomaly anomaly detection arxiv celestial chaos cs.ai cs.lg data detection development events facilities however process research research process scale scientific research series time series type