MIST provides a new publicly available grid of solar-scaled stellar isochrones and evolutionary tracks computed self-consistently with MESA from pre-main sequence through advanced stages for masses 0.1-300 solar masses and metallicities -2 to 0.5.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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astro-ph.SR 3representative citing papers
Spectroscopic follow-up validates high accuracy of ML classification for Gaia white dwarf spectra and reclassifies most 'massive DB' candidates as magnetic white dwarfs or warm DQs consistent with merger origins.
HELM machine learning applied to LAMOST DR1 spectra yields 56 hot subdwarfs (5 He-rich, 51 He-poor) whose parameters confirm two helium sequences.
citing papers explorer
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MESA Isochrones and Stellar Tracks (MIST). I: Solar-Scaled Models
MIST provides a new publicly available grid of solar-scaled stellar isochrones and evolutionary tracks computed self-consistently with MESA from pre-main sequence through advanced stages for masses 0.1-300 solar masses and metallicities -2 to 0.5.
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Hot DQs, magnetic and metal-polluted white dwarfs: spectroscopic insights from a Gaia machine-learning-selected 500 pc sample
Spectroscopic follow-up validates high accuracy of ML classification for Gaia white dwarf spectra and reclassifies most 'massive DB' candidates as magnetic white dwarfs or warm DQs consistent with merger origins.
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Searching for Hot Subdwarf Stars in LAMOST DR1-II. Pure spectroscopic identification method for hot subdwarfs
HELM machine learning applied to LAMOST DR1 spectra yields 56 hot subdwarfs (5 He-rich, 51 He-poor) whose parameters confirm two helium sequences.