TY - JOUR
T1 - Morphology of open clusters NGC 1857 and Czernik 20 using clustering algorithms
AU - Bhattacharya, S.
AU - Mahulkar, V.
AU - Pandaokar, S.
AU - Singh, P. K.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - 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 known distance and reddening parameters, we carried out field decontamination of these CMDs and subsequent isochrone fitting of the cleaned CMDs to obtain reliable distance and reddening parameters for the clusters (Czernik 20: D=2900pc; E(J–K)=0.33; NGC 1857: D=2400pc; E(J–K)=0.18–0.19). The isochrones were also used to convert the luminosity functions for the densest regions of Czernik 20 and NGC 1857 into mass function, to derive their slopes. Additionally, a previously unknown over-density consistent with that of a star cluster is identified in the region of analysis.
AB - 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 known distance and reddening parameters, we carried out field decontamination of these CMDs and subsequent isochrone fitting of the cleaned CMDs to obtain reliable distance and reddening parameters for the clusters (Czernik 20: D=2900pc; E(J–K)=0.33; NGC 1857: D=2400pc; E(J–K)=0.18–0.19). The isochrones were also used to convert the luminosity functions for the densest regions of Czernik 20 and NGC 1857 into mass function, to derive their slopes. Additionally, a previously unknown over-density consistent with that of a star cluster is identified in the region of analysis.
KW - Methods: Data analysis, statistical
KW - Star clusters—individual: NGC 1857 and Czernik 20
KW - Stars: Stellar dynamics
UR - http://www.scopus.com/inward/record.url?scp=84998546848&partnerID=8YFLogxK
U2 - 10.1016/j.ascom.2016.10.001
DO - 10.1016/j.ascom.2016.10.001
M3 - Article
AN - SCOPUS:84998546848
SN - 2213-1337
VL - 18
SP - 1
EP - 7
JO - Astronomy and Computing
JF - Astronomy and Computing
ER -