Naomi Gluck

collaborators

2 papers

astro-ph.SR2026

Benchmarking Machine Learning Emulators of Stellar Evolution for Precision Asteroseismology

Naomi Gluck, Earl P. Bellinger, Yan Liang +5

Fast and accurate stellar evolution emulators---surrogate models that approximate expensive simulation outputs with machine learning (ML)---are powerful tools for modern stellar ch…

astro-ph.SR2019

Enhanced mass-loss rate evolution of stars with $≳ 18 M_{⊙}$ and missing optically-observed type II core-collapse supernovae

Roni Anna Gofman, Naomi Gluck, Noam Soker

We evolve stellar models with zero-age main sequence (ZAMS) mass of $M_{ZAMS} ≳ 18 M_{⊙}$ under the assumption that they experience an enhanced mass-loss rate when cros…

Benchmarking Machine Learning Emulators of Stellar Evolution for Precision Asteroseismology

Enhanced mass-loss rate evolution of stars with ≳18M⊙​ and missing optically-observed type II core-collapse supernovae

Enhanced mass-loss rate evolution of stars with $≳ 18 M_{⊙}$ and missing optically-observed type II core-collapse supernovae