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Ecology of galaxy stellar populations from optical spectroscopic surveys

Published online by Cambridge University Press:  13 April 2010

Anna Gallazzi*
Affiliation:
Max-Planck-Institut für Astronomie, Königstuhl 17, 69117, Heidelberg, Germany email: gallazzi@mpia.de
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Abstract

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The age and chemical composition of the stars in present-day galaxies carry important clues about their star formation processes. The latest generation of population synthesis models have allowed to derive age and stellar metallicity estimates for large samples of low-redshift galaxies. After reviewing the main results about the distribution in ages and metallicities as a function of galaxy mass, I will concentrate on recent analysis that aims at disentangling the dependences of stellar populations properties on environment and on galaxy stellar mass. Finally, new models that predict the response of the full spectrum to variations in [α/Fe] will allow us to derive accurate estimates of elements abundance ratios and gain deeper insight into the timescales of star formation cessation.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2010

References

Baldry, I. K., Glazebrook, K., Brinkmann, J., Ivezić, Ž., Lupton, R. H., Nichol, R. C., & Szalay, A. S. 2004, ApJ, 600, 681CrossRefGoogle Scholar
Bruzual, G. & Charlot, S. 2003, MNRAS, 344, 1000CrossRefGoogle Scholar
Coelho, P., Bruzual, G., Charlot, S., Weiss, A., Barbuy, B., & Ferguson, J. W. 2007, MNRAS, 382, 498CrossRefGoogle Scholar
Gallazzi, A. & Bell, E. F. 2009, ApJS, submittedGoogle Scholar
Gallazzi, A., Brinchmann, J., Charlot, S., & White, S. D. M. 2008, MNRAS, 383, 1439CrossRefGoogle Scholar
Gallazzi, A., Charlot, S., Brinchmann, J., & White, S. D. M. 2006, MNRAS, 370, 1106CrossRefGoogle Scholar
Gallazzi, A., Charlot, S., Brinchmann, J., White, S. D. M., & Tremonti, C. A. 2005, MNRAS, 362, 41Google Scholar
Kauffmann, G. et al. 2003, MNRAS, 341, 54Google Scholar
Lewis, I. et al. 2002, MNRAS, 334, 673Google Scholar
Pasquali, A., Gallazzi, A., Fontanot, F., van den Bosch, F. C., de Lucia, G., Mo, H. J., & Yang, X. 2009, MNRAS, submittedGoogle Scholar
Thomas, D., Maraston, C., Bender, R., & Mendes de Oliveira, C. 2005, ApJ, 621, 673CrossRefGoogle Scholar
Vazdekis, A. 1999, ApJ, 513, 224Google Scholar
Yang, X., Mo, H. J., van den Bosch, F. C., Pasquali, A., Li, C., & Barden, M. 2007, ApJ, 671, 153CrossRefGoogle Scholar
Walcher, C. J., Coelho, P., Gallazzi, A., & Charlot, S. 2009, MNRAS, 398, L44CrossRefGoogle Scholar