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GRANDWin: Gain-based Radio-frequency Interference Analysis Using Normalized Deviation with Winsorization for MWA Ultralow-frequency Calibration Data

  • Authors: Wildan Hidayat, Shintaro Yoshiura, Keitaro Takahashi, Cathryn M. Trott, D. Null, C. D. Nunhokee

Wildan Hidayat et al 2026 The Astrophysical Journal 1006 .

  • Provider: AAS Journals

Caption: Figure 3.

Performance example of GRANDWin on simulated data with five RFI intensity levels, using 2 s solution intervals and a negative z-score threshold in logarithmic scale for TP and FP rate. The bottom row shows the F1 score, which quantifies overall detection effectiveness. The vertical red dashed line marks the selected threshold at ∣z∣ < 10. This evaluation highlights the trade-off between sensitivity and FP across different RFI intensities.

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