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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4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4verdicts
UNVERDICTED 4representative citing papers
TOI-4311 hosts a 0.99-day super-Earth (1.38 R_earth, 4.5 M_earth) and 15-day sub-Neptune (2.47 R_earth), plus a candidate 38-day planet, with the dense inner planet potentially challenging formation theories given the host's galactic population.
A non-transiting temperate super-Earth Ross 318 b with 39.63-day period and 6.21 Earth-mass minimum is detected around the magnetically active M3.5V star Ross 318 via radial velocities and confirmed absent in TESS transit searches.
Collates archival stellar activity and rotation data for potential HWO targets, finding measurements for at least 70% of high-interest systems but activity cycles for fewer than 20%.
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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An Ultra-Short Period Super-Earth and a Sub-Neptune Orbiting the K dwarf TOI-4311
TOI-4311 hosts a 0.99-day super-Earth (1.38 R_earth, 4.5 M_earth) and 15-day sub-Neptune (2.47 R_earth), plus a candidate 38-day planet, with the dense inner planet potentially challenging formation theories given the host's galactic population.
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Detection and Characterization of the Temperate Super-Earth Ross 318 b
A non-transiting temperate super-Earth Ross 318 b with 39.63-day period and 6.21 Earth-mass minimum is detected around the magnetically active M3.5V star Ross 318 via radial velocities and confirmed absent in TESS transit searches.
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HWO Target Stars and Systems: Activity and Rotation Catalog (ARC) of Potential Target Stars for the Habitable Worlds Observatory
Collates archival stellar activity and rotation data for potential HWO targets, finding measurements for at least 70% of high-interest systems but activity cycles for fewer than 20%.