Hostname: page-component-cd9895bd7-8ctnn Total loading time: 0 Render date: 2024-12-23T10:48:14.609Z Has data issue: false hasContentIssue false
  • English
  • Français

Population Synthesis: Challenges for the Next Decade

Published online by Cambridge University Press:  13 April 2010

Gustavo Bruzual A.
Gustavo Bruzual A.*
Affiliation:
Centro de Investigaciones de Astronomía (CIDA), A.P. 264, Mérida, Venezuela 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.

In this paper I present a brief summary of recent advances in the fields of stellar evolution, stellar model atmospheres, and stellar spectral libraries, which allow us to build more realistic stellar population synthesis models than those available up to now. Applications of these models to problems of current interest are discussed. Problems that need to be understood and data sets that need to be collected in order to solve issues present in these models are listed.

Keywords

galaxies: stellar contentgalaxies: spectral evolutionstars: evolution
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 5 , Symposium S262: Stellar Populations – Planning for the Next Decade , August 2009 , pp. 55 - 64
Copyright
Copyright © International Astronomical Union 2010

References

Aringer, et al. 2009, A&A, 503, 913Google Scholar
Bertelli, G. et al. 2008, A&A, 484, 815Google Scholar
Bruzual, G. 2007, in IAU Symposium 241 “Stellar populations as building blocks of galaxies”, eds. Vazdekis, A. and Peletier, R., Cambridge: Cambridge University Press, 125Google Scholar
Bruzual, G. 2007, in Proceedings of the Meeting “New Quests on Stellar Astrophysics. II. Ultraviolet Properties of Evolved Stellar Populations”, eds. Chávez, M., Bertone, E., Rosa-González, D., and Rodríguez-Merino, L. H., New York: Springer-Verlag, 283–292Google Scholar
Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 1000CrossRefGoogle Scholar
Charlot, S. & Bruzual, G. 2007, unpublished models distributed on demand.Google Scholar
Charlot, S. & Bruzual, G. 2010, in preparation.Google Scholar
Chavez, M. et al. 2009, ApJ, 700, 694CrossRefGoogle Scholar
Coelho, P. et al. 2007, MNRAS, 382, 498CrossRefGoogle Scholar
Dotter, A. et al. 2007, ApJ, 666, 403CrossRefGoogle Scholar
Fanelli, M. N. 1988, ApJ, 334, 665CrossRefGoogle Scholar
Heap, S., Lanz, T., & Hubeny, I. 2006, ApJ, 638, 409CrossRefGoogle Scholar
Lançon, A. & Mouhcine, M. 2002, A&A, 393, 167Google Scholar
Lanz, T. & Hubeny, I. 2003, ApJS, 146, 417CrossRefGoogle Scholar
Lanz, T. & Hubeny, I. 2007, ApJS, 169, 83CrossRefGoogle Scholar
Le Borgne, J.-F. et al. 2003, A&A, 402, 433Google Scholar
Lee, H. et al. 2009, ApJ, 694, 902CrossRefGoogle Scholar
Maraston, C. et al. 2009, A&A, 493, 425Google Scholar
Marigo, P. & Girardi, L. 2007, A&A, 469, 239Google Scholar
Marigo, P. et al. 2008, A&A, 482, 883Google Scholar
Martins, L. P. et al. 2005, MNRAS, 358, 49CrossRefGoogle Scholar
Rayner, et al. 2009, ApJS, 185, 289CrossRefGoogle Scholar
Rodríguez-Merino, L.H. et al. 2005, ApJ, 626, 411CrossRefGoogle Scholar
Sánchez-Blázquez, P. et al. 2006, MNRAS, 371, 703CrossRefGoogle Scholar
Valdes, F. et al. 2004, ApJS, 152, 251CrossRefGoogle Scholar
Walcher, C. J. et al. 2008, A&A, 491, 713Google Scholar
Westera, P. et al. 2002, A&A, 381, 524Google Scholar