Image Details

Choose export citation format:

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 6.

Selection of the DBSCAN Eps parameter for identifying candidate ETI signals (MinPts = 5). The plot shows the birdie loss rate [%] (black line; left y-axis) and the number of clusters (blue line; right y-axis) as a function of Eps. The chosen Eps of 9.5 × 10−4 (indicated by the red dashed vertical line) ensures a 0% Birdie loss rate (guaranteeing all simulated signals are retained) while selecting ETI candidates from hits remaining after RFI removal.

Other Images in This Article
Copyright and Terms & Conditions

Additional terms of reuse