Morphology of Open Clusters NGC 1857 and Czernik 20 using Clustering Algorithms
Souradeep Bhattacharya, Vedant Mahulkar, Samay Pandaokar, Parikshit, Kishor Singh

TL;DR
This study applies clustering algorithms, including a novel use of DBSCAN, to analyze the morphology and membership of open clusters Czernik 20 and NGC 1857 using infrared survey data, providing new insights into their structure and properties.
Contribution
The paper introduces the first application of DBSCAN for open cluster morphology analysis and combines it with statistical membership and isochrone fitting for detailed cluster characterization.
Findings
Identified dense regions within clusters using DBSCAN.
Derived reliable distance and reddening parameters through CMD analysis.
Discovered a new over-density consistent with a star cluster.
Abstract
The morphology and cluster membership of the Galactic open clusters - Czernik 20 and NGC 1857 were analyzed using two different clustering algorithms. We present the maiden use of density-based spatial clustering of applications with noise (DBSCAN) to determine open cluster morphology from spatial distribution. The region of analysis has also been spatially classified using a statistical membership determination algorithm. We utilized near infrared (NIR) data for a suitably large region around the clusters from the United Kingdom Infrared Deep Sky Survey Galactic Plane Survey star catalogue database, and also from the Two Micron All Sky Survey star catalogue database. The densest regions of the cluster morphologies (1 for Czernik 20 and 2 for NGC 1857) thus identified were analyzed with a K-band extinction map and color-magnitude diagrams (CMDs). To address significant discrepancy in…
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