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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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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astro-ph.EP 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Heliostack enables nonlinear shift-and-stack detection of faint solar system objects over 15-day baselines, yielding two new Cold Classical Kuiper Belt object discoveries in archival HST images.
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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heliostack: A Novel Approach to Minor Planet Discovery
Heliostack enables nonlinear shift-and-stack detection of faint solar system objects over 15-day baselines, yielding two new Cold Classical Kuiper Belt object discoveries in archival HST images.