Multi-wavelength characterization of VVVX open clusters
Keywords: galaxy: bulge, open clusters and associations: general, galaxy: formation, galaxy: disk, galaxy: general
Abstract
Context. With the rise of large surveys across wavelengths, both supervised and unsupervised machine learning algorithms have increasingly aided in detecting large samples of old open clusters in high-extinction regions of the Milky Way bulge and disk. Aims. Our primary goal is to confirm or discard automatically detected open clusters from poorly studied, heavily contaminated regions of the Milky Way. Cleaning these samples is critical for reconstructing the Galactic disks star formation history and understanding the thin and thick disk formation model. Methods. We used data from the VVVX, 2MASS, and Gaia DR3 surveys to confirm and characterize nine open cluster candidates: BH118, BH 144, Schuster-MWSC 1756, Saurer 3, FSR 1521, Saurer 2, Haffner 10-FSR 1231, Juchert 12, and Pismis 3. We constructed density maps and vectorproper motion diagrams to analyse the targets and performed photometric analysis to derive their main physical parameters. Results. We examined cluster images from the 2MASS, WISE, and DECaPS surveys, identifying star clusters through an over-density of stars. This was confirmed with a VVVX photometry density map and validated using Gaussian kernel density estimation. Using Gaia proper motion data, we refined cluster memberships and decontaminated the data to build the final cluster catalogue with objects with a high probability of being star cluster members. We derived the following parameters: extinction values (A
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| Título según WOS: | Multi-wavelength characterization of VVVX open clusters |
| Título según SCOPUS: | Multi-wavelength characterization of VVVX open clusters |
| Título de la Revista: | Astronomy and Astrophysics |
| Volumen: | 695 |
| Editorial: | EDP Sciences |
| Fecha de publicación: | 2025 |
| Idioma: | English |
| DOI: |
10.1051/0004-6361/202453227 |
| Notas: | ISI, SCOPUS |