Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-23T20:22:58.885Z Has data issue: false hasContentIssue false
  • English
  • Français

Internal kinematics of multiple stellar populations in globular clusters

Published online by Cambridge University Press:  11 March 2020

Mattia Libralato Open the ORCID record for Mattia Libralato [Opens in a new window]
Mattia Libralato*
Affiliation:
Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD21218, USA email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Spectroscopy and photometry have revealed existence, complexity and properties of the multiple stellar populations (mPOPs) hosted in Galactic globular clusters. However, the conundrum of the formation and evolution of mPOPs is far from being completely exploited: the available pieces of information seem not enough to shed light on these topics. Astrometry, and in particular high-precision proper motions, can provide us the sought-after answers about how mPOPs formed and have evolved in these ancient stellar systems. In the following, I present a brief overview of the observational results on the internal kinematics of the mPOPs in some GCs thanks to Hubble Space Telescope high-precision proper motions.

Keywords

(Galaxy:) globular clusters: generalstars: kinematicsastrometry
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium S351: Star Clusters: From the Milky Way to the Early Universe , May 2019 , pp. 324 - 328
Copyright
© International Astronomical Union 2020

References

Anderson, J. & van der Marel, R. P. 2010, ApJ, 710, 1032CrossRefGoogle Scholar
Bellini, A., Vesperini, E., Piotto, G., et al. 2015, ApJL, 810, L13CrossRefGoogle Scholar
Bellini, A., Bianchini, P., Varri, A. L., et al. 2017, ApJ, 844, 167CrossRefGoogle Scholar
Bellini, A., Libralato, M., Bedin, L. R., et al. 2018, ApJ, 853, 86CrossRefGoogle Scholar
Bianchini, P., van der Marel, R. P., A., del Pino, et al. 2018, MNRAS, 481, 2125CrossRefGoogle Scholar
Cordoni, G., Milone, A. P., Mastrobuono-Battisti, A., et al. 2019, arXiv:1905.09908Google Scholar
Hénault-Brunet, V., Gieles, M., Agertz, O., et al. 2015, MNRAS, 450, 1164CrossRefGoogle Scholar
Libralato, M., Bellini, A., van der Marel, R. P., et al. 2018, ApJ, 861, 99CrossRefGoogle Scholar
Libralato, M., Bellini, A., Piotto, G., et al. 2019, ApJ, 873, 109CrossRefGoogle Scholar
Milone, A. P., Piotto, G., Renzini, A., et al. 2017, MNRAS, 464, 3636CrossRefGoogle Scholar
Milone, A. P., Marino, A. F., Mastrobuono-Battisti, A., et al. 2018, MNRAS, 479, 5005CrossRefGoogle Scholar
Piotto, G., Milone, A. P., Bedin, L. R., et al. 2015, AJ, 149, 91CrossRefGoogle Scholar
Richer, H. B., Heyl, J., Anderson, J., et al. 2013, ApJL, 771, L15CrossRefGoogle Scholar
Tiongco, M. A., Vesperini, E., & Varri, A. L. 2016, MNRAS, 455, 3693CrossRefGoogle Scholar
Vesperini, E., McMillan, S. L. W., D’Antona, F., et al. 2013, MNRAS, 429, 1913CrossRefGoogle Scholar
Vesperini, E., Varri, A. L., McMillan, S. L. W., et al. 2014, MNRAS, 443, L79CrossRefGoogle Scholar