Détail du document
Identifiant

oai:arXiv.org:2412.05033

Sujet
Astrophysics - Solar and Stellar A... Astrophysics - Astrophysics of Gal...
Auteur
Ganguly, Anindya Nayak, Prasanta K. Chatterjee, Sourav
Catégorie

sciences : astrophysique

Année

2024

Date de référencement

11/12/2024

Mots clés
stellar properties star method study cluster clusters astrophysics
Métrique

Résumé

Star clusters are interesting laboratories to study star formation, single and binary stellar evolution, and stellar dynamics.

We have used the exquisite data from $Gaia$'s data release 3 (DR3) to study 21 relatively rich and nearby open clusters with member numbers ($N_{\rm{cl}}$)$>500$.

We have developed a non-parametric method to identify cluster members.

Our method works well for clusters located in both sparse and crowded environments, hence, can be applied to a wide variety of star clusters.

Since the member classification scheme does not make any assumptions on the expected distributions of potential cluster members, our method can identify members associated with clusters that are oddly shaped or have complex internal spatial or kinematic structures.

In addition, since the membership determination does not depend on the proximity to any well-defined sequences on the color-magnitude diagram, this method easily identifies straggler members.

Furthermore, for each of these clusters, we estimate essential cluster properties including age, metallicity, distance, and reddening using detailed Markov-Chain Monte Carlo parameter estimation.

We report the full posteriors for these important cluster properties for all clusters in our study.

;Comment: 22 pages, 15 figures

Ganguly, Anindya,Nayak, Prasanta K.,Chatterjee, Sourav, 2024, Open Cluster Study Using $Gaia$ I:Membership and Cluster Properties

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