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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Four solar-type twin binaries show evolutionary diversity from main-sequence to red-giant stages with varying magnetic activity, including possible triple-system signatures in one case.
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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Diversity in Evolutionary Status and Magnetic Activity among Solar-Type Twin Detached Eclipsing Binaries
Four solar-type twin binaries show evolutionary diversity from main-sequence to red-giant stages with varying magnetic activity, including possible triple-system signatures in one case.