Radiative damping of internal gravity waves dominates tidal evolution in TOI-5882, shortening the brown dwarf's engulfment timescale by a factor of 2-6 relative to classical models.
and Hekker, Saskia and Stello, Dennis and Kuszlewicz, James S
3 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 3representative citing papers
DSEE is a flow-based emulator that generates stellar evolution tracks and isochrones as probabilistic outputs from a single model trained on millions of simulations, enabling fast interpolation and uncertainty-aware analyses.
Deep learning infers Δν and ν_max from one-month TESS and K2 observations of red giants with reliable results for ~50% of Kepler/K2 samples and ~23% of TESS stars, plus ΔΠ1 for ~200 K2 young red giants that match known patterns.
citing papers explorer
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The Tale of a Hungry Subgiant and Its Brown Dwarf: Interior Radiative Damping Dominates the Tidal Evolution of TOI-5882
Radiative damping of internal gravity waves dominates tidal evolution in TOI-5882, shortening the brown dwarf's engulfment timescale by a factor of 2-6 relative to classical models.
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Dartmouth Stellar Evolution Emulator (DSEE) 1: Generative Stellar Evolution Model Database
DSEE is a flow-based emulator that generates stellar evolution tracks and isochrones as probabilistic outputs from a single model trained on millions of simulations, enabling fast interpolation and uncertainty-aware analyses.
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Inferring Asteroseismic Parameters from Short Observations Using Deep Learning: Application to TESS and K2 Red Giants
Deep learning infers Δν and ν_max from one-month TESS and K2 observations of red giants with reliable results for ~50% of Kepler/K2 samples and ~23% of TESS stars, plus ΔΠ1 for ~200 K2 young red giants that match known patterns.