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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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Discovery and spectro-photodynamical characterization of TIC 295741342, a coplanar triply-eclipsing triple with a giant tertiary showing two degenerate evolutionary states and predicted Roche lobe overflow.
New SOAR speckle data resolve 400+ previously unseen binary pairs and deliver orbital elements for 202 systems with quantified errors.
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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TIC 295741342: A Triply-Eclipsing Triple Star System with a Giant Tertiary
Discovery and spectro-photodynamical characterization of TIC 295741342, a coplanar triply-eclipsing triple with a giant tertiary showing two degenerate evolutionary states and predicted Roche lobe overflow.
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Speckle Interferometry at SOAR in 2024 and 2025
New SOAR speckle data resolve 400+ previously unseen binary pairs and deliver orbital elements for 202 systems with quantified errors.