Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds
(2025)
Journal Article
Ghaziasgar, S., Abdollahi, M., Javadi, A., van Loon, J. T., McDonald, I., Oliveira, J., Masoudnezhad, A., Khosroshahi, H. G., Foing, B. H., & Fazel Hesar, F. (2025). Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds. The Astrophysical Journal, 986(2), 1-22. https://doi.org/10.3847/1538-4357/adceeb
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... Read More about Dusty Stellar Source Classification by Implementing Machine Learning Methods Based on Spectroscopic Observations in the Magellanic Clouds.