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The System of Open Star Clusters Revisited

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Modeling, Machine Learning and Astronomy (MMLA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1290))

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Abstract

The system of open clusters is an excellent probe of the structure and evolution of the galactic disk. Their spatial, size, age and mass distributions provide valuable information on the cluster formation process. Present day astronomy is rich in data, and hence in this work, we attempt to build up a comprehensive statistical study of star clusters. This study is based on available catalogues, both homogeneous and inhomogeneous, to provide some useful insights on the evolutionary history of the system of open clusters and consequently, the galaxy. We find that the optimum size of a cluster for its survival is 3–4 pc. We also find that there exists a simple linear relationship between the age and the mean linear diameters of clusters and also with normalised reddening. Using the catalogues based on Gaia DR2 and other catalogs, we find, that the system of open clusters provides valuable clues to our understanding of the evolution of the galaxy. This system can be partitioned by k-means to get clusters in a statistical sense, which indicates possible cluster formation in the galaxy at different galactocentric distances and with different parameters. These suggests a combination of the scenarios of overall halo collapse and accretion to explain the formation of the disk of the galaxy. This method is proposed to be used for the study of external galaxies using catalogues of extragalactic clusters as it works well with the clusters of the Milky Way.

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Notes

  1. 1.

    \(p \le 0.05\) implies a confidence level larger than 95 %.

  2. 2.

    clusters in italics refers to clusters in the statistical sense and not physical star clusters.

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Acknowledgements

The authors also thank Hargopal Vajjha and C R Rao for comments and suggestions in statistics. Virtual observatory tools like VOSTAT and Topcoat have been used in the analysis.

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Authors and Affiliations

  1. Maulana Azad National Urdu University, Gachibowli, Hyderabad, 500 032, India

    Priya Hasan & S. N. Hasan

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  1. Priya Hasan
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  2. S. N. Hasan
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Correspondence to Priya Hasan .

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Editors and Affiliations

  1. CSIS and APPCAIR, Birla Institute of Technology and Science, Vasco Da Gama, Goa, India

    Snehanshu Saha

  2. School of Humanities, National Institute of Advanced Studies, Bengaluru, Karnataka, India

    Nithin Nagaraj

  3. PES University, Bangalore, India

    Shikha Tripathi

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Hasan, P., Hasan, S.N. (2020). The System of Open Star Clusters Revisited. In: Saha, S., Nagaraj, N., Tripathi, S. (eds) Modeling, Machine Learning and Astronomy. MMLA 2019. Communications in Computer and Information Science, vol 1290. Springer, Singapore. https://doi.org/10.1007/978-981-33-6463-9_11

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  • DOI: https://doi.org/10.1007/978-981-33-6463-9_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6462-2

  • Online ISBN: 978-981-33-6463-9

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