Massive open clusters in VVV data using unsupervised clustering algorithms
Abstract
We test a technique for searching massive clusters based on an unsupervised clustering algorithm to be applied on the VISTA Variables in the Via Lactea (VVV) data. The explored space parameters are the apparent position in the sky, infrared magnitudes, colors and the reddening-free parameter $Q_{\mathrm{IR}}$, a linear combination of $(J-H)$ and $(H-K_\mathrm{s})$. In this poster we present the results of using DBSCAN on the cluster VVV CL0888, reviewing the stellar population detected by this clustering algorithm. Our strategy was able to find a structure whose position, size, color and shape are similar to those found in the literature.
- Publication:
-
Boletin de la Asociacion Argentina de Astronomia La Plata Argentina
- Pub Date:
- August 2020
- Bibcode:
- 2020BAAA...61R..80A
- Keywords:
-
- surveys;
- open clusters and associations: general;
- Galaxy: disc