A PSF-fitting pipeline extracts variability light curves for 91 SMC massive stars and finds that stochastic low-frequency variability morphology tracks HR-diagram position independently of metallicity.
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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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Simulations show that observed rotation in 13.5-Gyr-old alpha-rich stars constrains the Gaia-Sausage-Enceladus merger to mass ratios below 1:4, with interaction and starburst times both near 11 Gyr.
Ages inferred for red giant stars via machine learning are generally insensitive to hyperparameters and architecture but somewhat sensitive to training set choice, especially for the oldest, coolest, and lowest-metallicity stars.
citing papers explorer
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Binarity at LOw Metallicity (BLOeM): massive star variability revealed using a novel software tool for point-spread function fitting of TESS images
A PSF-fitting pipeline extracts variability light curves for 91 SMC massive stars and finds that stochastic low-frequency variability morphology tracks HR-diagram position independently of metallicity.
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Build-up and survival of the disc: From numerical models of galaxy formation to the Milky Way
Simulations show that observed rotation in 13.5-Gyr-old alpha-rich stars constrains the Gaia-Sausage-Enceladus merger to mass ratios below 1:4, with interaction and starburst times both near 11 Gyr.
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Evaluating the Sensitivity of the Age Inferences of Red Giant Stars to Machine Learning Methodology
Ages inferred for red giant stars via machine learning are generally insensitive to hyperparameters and architecture but somewhat sensitive to training set choice, especially for the oldest, coolest, and lowest-metallicity stars.