Hostname: page-component-586b7cd67f-rcrh6 Total loading time: 0 Render date: 2024-11-26T19:37:27.805Z Has data issue: false hasContentIssue false
  • English
  • Français

Star clusters of the Andromeda galaxy. Multicolour HST photometry

Published online by Cambridge University Press:  11 March 2020

Rokas Naujalis Open the ORCID record for Rokas Naujalis [Opens in a new window] ,
Rima Stonkutė  and
Vladas Vansevičius
Rokas Naujalis
Affiliation:
Center for Physical Sciences and Technology, Saulėtekio av. 3, 10257 Vilnius, Lithuania email: [email protected]
Rima Stonkutė
Affiliation:
Center for Physical Sciences and Technology, Saulėtekio av. 3, 10257 Vilnius, Lithuania email: [email protected] Vilnius University Observatory, Čiurlionio 29, 03100 Vilnius, Lithuania email: [email protected]
Vladas Vansevičius
Affiliation:
Center for Physical Sciences and Technology, Saulėtekio av. 3, 10257 Vilnius, Lithuania email: [email protected] Vilnius University Observatory, Čiurlionio 29, 03100 Vilnius, Lithuania 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.

We performed a new integrated photometry in six passbands on HST M31 PHAT survey mosaics of 1181 star clusters spread over a large range of radial distance. Due to strongly varying background we interactively determined its level based on image and growth-curve analysis. We derived cluster age, mass, extinction, and metallicity by employing stochastic star cluster models.

Keywords

galaxies: individual: M 31galaxies: star clusters: general
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. 131 - 134
Copyright
© International Astronomical Union 2020

References

Bressan, A., Marigo, P., Girardi, L., et al. 2012, MNRAS, 427, 127CrossRefGoogle Scholar
Caldwell, N., Harding, P., Morrison, H., et al. 2009, AJ, 137, 94CrossRefGoogle Scholar
Caldwell, N., Schiavon, R., Morrison, H., et al. 2011, AJ, 141, 61CrossRefGoogle Scholar
Dalcanton, J. J., Williams, B. F., Lang, D., et al. 2012, ApJS, 200, 18CrossRefGoogle Scholar
de Meulenaer, P., Narbutis, D., Mineikis, T., & Vansevičius, V. 2013, A&A, 550, A20Google Scholar
de Meulenaer, P., Narbutis, D., Mineikis, T., & Vansevičius, V. 2014, A&A, 569, A4Google Scholar
de Meulenaer, P., Narbutis, D., Mineikis, T., & Vansevičius, V. 2015, A&A, 574, A66Google Scholar
de Meulenaer, P., Stonkutė, R., & Vansevičius, V. 2017, A&A, 602, A112Google Scholar
Deveikis, V., Narbutis, D., Stonkuė, R., et al. 2008, BaltA, 17, 351Google Scholar
Fouesneau, M. & Lançon, A. 2010, A&A, 521, A22Google Scholar
Johnson, L. C., Seth, A. C., Dalcanton, J. J., et al. 2015, ApJ, 802, 127CrossRefGoogle Scholar
Johnson, L. C., Seth, A. C., Dalcanton, J. J., et al. 2016, ApJ, 827, 33CrossRefGoogle Scholar
Kroupa, P. 2001, MNRAS, 322, 231CrossRefGoogle Scholar