Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds

Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds

Dusty stellar point sources are a significant stage in stellar evolution and contribute to the metal enrichment of galaxies. These objects can be classified using photometric and spectroscopic observations using color–magnitude diagrams and infrared excesses in spectral energy distributions. We have...

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Main Authors: Sepideh Ghaziasgar, Mahdi Abdollahi, Atefeh Javadi, Jacco Th. van Loon, Iain McDonald, Joana Oliveira, Amirhossein Masoudnezhad, Habib G. Khosroshahi, Bernard H. Foing, Fatemeh Fazel Hesar
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Asymptotic giant branch stars
Asymptotic giant branch
Red supergiant stars
Large Magellanic Cloud
Small Magellanic Cloud
Online Access:https://doi.org/10.3847/1538-4357/adceeb
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https://doi.org/10.3847/1538-4357/adceeb

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