303 citations · 1.3k across the 44 of their papers we have counts for
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Using machine learning to investigate the populations of dusty evolved stars in various metallicities
Grigoris Maravelias, Alceste Z. Bonanos, Frank Tramper +7
Mass loss is a key property to understand stellar evolution and in particular for low-metallicity environments. Our knowledge has improved dramatically over the last decades both f…
The C/M Ratio of AGB Stars in the Local Group Galaxies
Tongtian Ren, Biwei Jiang, Yi Ren +1
The number ratio of carbon-rich to oxygen-rich asymptotic giant branch (AGB) stars (the so-called C/M ratio) is closely related to the evolution environment of the host galaxy. Thi…
A machine-learning photometric classifier for massive stars in nearby galaxies I. The method
Grigoris Maravelias, Alceste Z. Bonanos, Frank Tramper +3
(abridged) Mass loss is a key parameter in the evolution of massive stars, with discrepancies between theory and observations and with unknown importance of the episodic mass loss.…