Asteroseismic structure inversions can be performed in acoustic and buoyancy coordinates, overcoming breakdowns for non-solar stars and removing the need for prior mass and radius knowledge in p-mode cases.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
fields
astro-ph.SR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
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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Can Asteroseismic Structure Inversions Be Performed in Structure-Dependent Coordinates?
Asteroseismic structure inversions can be performed in acoustic and buoyancy coordinates, overcoming breakdowns for non-solar stars and removing the need for prior mass and radius knowledge in p-mode cases.
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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.