| Popis: |
Membership of stars in open clusters is one of the most critical parameters in studies of star clusters. In this work, we aim to study membership of nine open clusters (NGC 581, NGC 1893, IC 1805, NGC 6231, NGC 6823, NGC 3293, NGC 6913, NGC 2264, NGC 2244) using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm on Gaia DR3 Data. We select stars from the Gaia DR3 catalogue, construct a five-dimensional phase space (three-dimensional spatial position and two-dimensional proper motion) and obtain reliable cluster members using machine learning (DBSCAN).We compare the found membership with UPMASK (T Cantat Gaudin et.al, 2018) and Random Forest method (Md Mahmudunnobe et.al 2021) which we have used earlier. We use ASteca to find cluster parameters using our new membership sample and compare that with the values by Cantat Gaudin et.al, 20. The technique demonstrates the effectiveness of machine learning in membership determination of clusters. |
