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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UNVERDICTED 2representative citing papers
Model atmosphere fitting of 25,642 cool white dwarfs in DESI DR1 finds no photometric-spectroscopic mass discrepancy for DAs, magnetic DAs at all temperatures, increasing H/He ratios in He-atmosphere stars below ~10,000 K, and a rising He-atmosphere fraction due to convective mixing.
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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A Detailed Model Atmosphere Analysis of Cool White Dwarfs in DESI DR1
Model atmosphere fitting of 25,642 cool white dwarfs in DESI DR1 finds no photometric-spectroscopic mass discrepancy for DAs, magnetic DAs at all temperatures, increasing H/He ratios in He-atmosphere stars below ~10,000 K, and a rising He-atmosphere fraction due to convective mixing.