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An Improved Machine Learning Approach for Radio Frequency Interference Mitigation in FAST–SETI Survey Archival Data

  • Authors: Li-Li Zhao, Xiao-Hang Luan, Xin Chao, Yu-Chen Wang, Jian-Kang Li, Zhen-Zhao Tao, Tong-Jie Zhang, Hong-Feng Wang, Dan Werthimer

Li-Li Zhao et al 2026 The Astronomical Journal 171 .

  • Provider: AAS Journals

Caption: Figure 3.

Optimization of the Eps parameter for the DBSCAN-based residual RFI removal. We set the MinPts parameter is 55. The black curve (left y-axis) shows the loss rate of simulated signals(“birdies”), while the blue curve (right y-axis) shows the percentage of total residual hits removed, both as a function of the Eps value. The red vertical line indicates the selected threshold of Eps = 7.5 × 10−3, which is the optimal point that removes the largest possible percentage of RFI while ensuring the birdie loss rate remains at zero.

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