A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.
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The annual probability of a >140 m NEO impact exceeds an individual's lifetime risk of being struck by lightning when both are expressed as comparable rates.
citing papers explorer
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Trajectory-Agnostic Asteroid Detection in TESS with Deep Learning
A W-Net deep learning model detects asteroids in TESS data independently of trajectory by rotating training image cubes and using adaptive normalization for data scaling.
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Placing the Near-Earth Object Impact Probability in Context
The annual probability of a >140 m NEO impact exceeds an individual's lifetime risk of being struck by lightning when both are expressed as comparable rates.