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

1 code implementation • 15 Mar 2024 • Xinli Hao, Yile Chen, Chen Yang, Zhihui Du, Chaohong Ma, Chao Wu, Xiaofeng Meng

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 alarms.

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