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Statistical analysis of dynamical evolution of open clusters

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We present the dynamical evolution of 10 open clusters, which were part of our previous studies. These clusters include both young and intermediate-age open clusters with ages ranging from \(25 \pm 19\) Myr to \(1.78\pm 0.20\) Gyr. The total mass of these clusters ranges from \(356.18\pm 142.90\) to \(1811.75\pm ~901.03\) \(M_{\odot }\). The Galactocentric distances to the clusters are in the range of \(8.91\pm 0.02\)\(11.74\pm 0.18\) kpc. The study is based on the ground-based UBVRI data supplemented by the astrometric data from the Gaia archive. We studied the minimum spanning tree of the member stars for these clusters. The mass segregation in these clusters was quantified by mass segregation ratios calculated from the mean edge length obtained through the minimum spanning tree. The clusters NGC 2360, NGC 1960, IC 1442, King 21 and SAI 35 have \(\Gamma _\textrm{MSR}\) to be \(1.65\pm 0.18\), \(1.94\pm 0.22\), \(2.21\pm 0.20\), \(1.84\pm 0.23\) and \(1.96\pm 0.25\), respectively, which indicate moderate mass segregation in these clusters. The remaining five clusters are found to exhibit weak or no mass segregation. We used the ratio of half mass radius to the tidal radius i.e., \(R_{h}/R_{t}\) to investigate the effect of the tidal interactions on the cluster structure and dynamics. The ratios of half mass radii to tidal radii are found to be positively correlated with the Galactocentric distances with a linear slope of \(0.06\pm 0.01\) having linear regression coefficient r-square \(=\) 0.93 for the clusters.

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Acknowledgements

Data from Pan-STARRS surveys (PS1) were used in this paper. The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen’s University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation grant No. AST-1238877, the University of Maryland, Eötvös Loránd University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation. This work presents the results of the European Space Agency (ESA) space mission Gaia results. Gaia data are being processed by the Gaia Data Processing and Analysis Consortium (DPAC). Funding for the DPAC is provided by national institutions, in particular, the institutions participating in the Gaia Multi-Lateral Agreement (MLA).

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Correspondence to Jayanand Maurya.

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This article is part of the Special Issue on “Star formation studies in the context of NIR instruments on 3.6m DOT”.

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Maurya, J., Joshi, Y.C., Samal, M.R. et al. Statistical analysis of dynamical evolution of open clusters. J Astrophys Astron 44, 71 (2023). https://doi.org/10.1007/s12036-023-09959-3

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