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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Model atmosphere analysis of 25,642 cool white dwarfs from DESI DR1 shows no mass discrepancy for cool DAs, increasing H/He ratios at low temperatures, and rising He-atmosphere fraction below 10,000 K from convective mixing.
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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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A Detailed Model Atmosphere Analysis of Cool White Dwarfs in DESI DR1
Model atmosphere analysis of 25,642 cool white dwarfs from DESI DR1 shows no mass discrepancy for cool DAs, increasing H/He ratios at low temperatures, and rising He-atmosphere fraction below 10,000 K from convective mixing.