Hostname: page-component-cd9895bd7-dk4vv Total loading time: 0 Render date: 2024-12-22T16:12:55.675Z Has data issue: false hasContentIssue false

A High Resolution α-enhanced stellar Library for Evolutionary Population Synthesis

Published online by Cambridge University Press:  01 December 2006

Lucimara Martins
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosféricas–USP Rua do Matão 1226, São Paulo-SP, cep. 05508-900, Brazil email: lucimara@astro.iag.usp.br
Paula Coelho
Affiliation:
Instituto de Astronomia, Geofísica e Ciências Atmosféricas–USP Rua do Matão 1226, São Paulo-SP, cep. 05508-900, Brazil email: lucimara@astro.iag.usp.br Max Planck Institute for AstrophysicsKarl-Schwarzschild-Str. 1 D-85741 Garching, Germany email: pcoelho@mpa-garching.mpg.de
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.

One of the main ingredients of current stellar population models is a library of stellar spectra. Both empirical and theoretical libraries are used for this purpose, and the question about which one to use is still being debated in the literature. Empirical and theoretical libraries are improving significantly over the years, and many libraries have become available lately. It is not clear what are the advantages of using each of these new libraries, and how far behind are models compared to observations. Here we compare in detail some of the modern theoretical libraries availabe in the literature against empirical libraries attempting to detect their weaknesses and strengths. The aim is to be able to compute in the short future a new synthetic stellar library that combines the best qualities of the current available ones, while improving considerably their weaknesses.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2007

References

Bensby, T., Feltzing, S., Lundström& Ilyin, I. & Ilyin, I. 2005, A&A, 433, 185Google Scholar
Chavez, K., Malagnini, M.L., & Morossi, C. 1997, A&AS, 126, 267Google Scholar
Coelho, P., Barbuy, B., Meléndez, J., Schiavon, R.P. & Castilho, B.V. 2005, A&A, 443, 735Google Scholar
Jones, L.A. 1998, PhD Thesis, University of North Carolina, Chapel HillGoogle Scholar
LeBorne, J.-F. Borne, J.-F. et al. , 2003, A&A, 402, 433Google Scholar
Lejeune, T., Cuisinier, F., & Buser, R. 1997, A&AS, 125, 229Google Scholar
Martins, L. & Coelho, P. 2007, submitted to MNRASGoogle Scholar
Martins, L., González, R.M., Leitherer, C., Cervino, M. no, M., & Hauschildt, P. 2005, MNRAS, 358, 49CrossRefGoogle Scholar
Munari, U., Castelli, F. & Zwitter, T. 2005, A&A, 442, 1127Google Scholar
Murphy, T. & Meiksin, A. 2004, MNRAS, 351, 1430CrossRefGoogle Scholar
Prugniel, & Soubiran 2004, astro-ph/0409214Google Scholar
Rodrigue-Merino, L.H., Chavez, M. & Bertone, A. 2005, ApJ, 626, 411CrossRefGoogle Scholar
Sanchéz-Blasquez, P. et al. , 2006, MNRAS, 371, 703CrossRefGoogle Scholar
Serven, J., Worthey, G. & Briley, M.M. 2005 ApJ, 627, 754CrossRefGoogle Scholar
Tragger, S.C., Worthey, G., Faber, S.M., Burstein, D., & González, J.J. 1998, ApJS, 116, 1CrossRefGoogle Scholar
Valdes, F., Gupta, R., Rose, J., Singh, H. & Bell, D. 2004, ApJS, 152, 251CrossRefGoogle Scholar