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Mass-loss rates of cool evolved stars in M33 galaxy

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arxiv 2204.08944 v1 pith:OSH2XFH5 submitted 2022-04-19 astro-ph.GA astro-ph.SR

classification astro-ph.GAastro-ph.SR
keywords galaxymass-lossratesstarsacrossasymptoticbranchcampaign
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We have conducted a near-infrared monitoring campaign at the UK InfraRed Telescope (UKIRT), of the Local Group spiral galaxy M33 (Triangulum). In this paper, we present the dust and gas mass-loss rates by the pulsating Asymptotic Giant Branch (AGB) stars and red supergiants (RSGs) across the stellar disc of M33.

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  1. Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier

    astro-ph.GA 2025-04 conditional novelty 3.0 of 10

    A Probabilistic Random Forest classifies 618 Magellanic Cloud dusty stars into five stellar classes with 89% reported accuracy, though crucial validation details are missing.

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