Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier
(2024)
Journal Article
Ghaziasgar, S., Abdollahi, M., Javadi, A., van Loon, J. T., McDonald, I., Oliveira, J., & Khosroshahi, H. G. (in press). Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier. Communications of the Byurakan Astrophysical Observatory, 71(2), 377-382. https://doi.org/10.52526/25792776-24.71.2-377
The Magellanic Clouds (MCs) are excellent locations to study stellar dust emission and its contribution to galaxy evolution. Through spectral and photometric classification, MCs can serve as a unique environment for studying stellar evolution and gal... Read More about Machine Learning Classification of Young Stellar Objects and Evolved Stars in the Magellanic Clouds Using the Probabilistic Random Forest Classifier.