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Missed Detections and False Alarms in a CNN Technosignature Detector on Breakthrough Listen Data - Astrobiology Web

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Source: Astrobiology Web
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Grad-CAM autopsy at an amplitude of 4.0. (a) Q2_bright_hit: D1-3 S-shaped, detected. (b) Q2c_bright_mis: D1-1 extreme drift, missed. Columns: input, Grad-CAM map, and CAM difference (injected minus clean). Inputs are shown as the detector sees them: the three ON panels side by side, with frequency running vertically; white lines mark panel boundaries and the green line the injection’s starting channel. -- [astro-ph. IM]

[astro-ph. IM] Radio technosignature searches rely on machine learning detectors to shrink the candidate pool before a human looks at it.

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