A Probabilistic Random Forest classifies 618 Magellanic Cloud dusty stars into five stellar classes with 89% reported accuracy, though crucial validation details are missing.
Mass-loss rates of cool evolved stars in M33 galaxy
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abstract
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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Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier
A Probabilistic Random Forest classifies 618 Magellanic Cloud dusty stars into five stellar classes with 89% reported accuracy, though crucial validation details are missing.