The membership of stars, density profile and mass segregation in open clusters using a new machine learning-based method

A combination of two unsupervised machine learning algorithms, DBSCAN and GMM are used to find members with a high probability of twelve open clusters, M38, NGC2099, Coma Ber, NGC752, M67, NGC2243, Alessi01, Bochum04, M34, M35, M41, and M48, based on Gaia DR3. These clusters have different ages, dis...

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Veröffentlicht in:	arXiv.org 2023-05
Hauptverfasser:	Noormohammadi, Mohammad, Ghomi, Mehdi Khakian, Haghi, Hossein
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Machine learning Open clusters Parameter identification Physics - Astrophysics of Galaxies Unsupervised learning White dwarf stars
Online-Zugang:	Volltext
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