Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-27T17:40:38.880Z Has data issue: false hasContentIssue false
  • English
  • Français

Stellar population models in the UV: I. Characterisation of the New Generation Stellar Library

Published online by Cambridge University Press:  17 August 2012

Mina Koleva  and
Alexander Vazdekis
Mina Koleva
Affiliation:
Instituto de Astrofísica de Canarias, La Laguna, E-38200 Tenerife, Spain Sterrenkundig Observatorium, Ghent University, Krijgslaan 281, S9, B-9000Ghent email: [email protected]
Alexander Vazdekis
Affiliation:
Instituto de Astrofísica de Canarias, La Laguna, E-38200 Tenerife, Spain
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 have fully characterized the NGSL stellar spectral library, which allows us to open the UV stellar spectral range for stellar population studies. We have performed the necessary steps to prepare this library for its implementation in models synthesizing SEDs of stellar cluster and galaxy spectra. We have determined and homogenized the atmospheric parameters of the stars of this library with the aid of a full spectrum-fitting algorithm, using the MILES spectral library as a template. We also have characterized the resolution of this library and corrected systematic effects in the optical spectral range to achieve a precision of 10% of the dispersion.

Keywords

stars: abundancesstars: atmospheresstars: fundamental parameters
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 7 , Symposium S284: The Spectral Energy Distribution of Galaxies , September 2011 , pp. 35 - 37
Copyright
Copyright © International Astronomical Union 2012

References

Gregg, M. D., Silva, D., Rayner, J., et al. 2006, in The 2005 HST Calibration Workshop: Hubble After the Transition to Two-Gyro Mode, ed. Koekemoer, A. M., Goudfrooij, P., & Dressel, L. L., 209–215Google Scholar
Koleva, M., Prugniel, P., Bouchard, A., & Wu, Y. 2009, A&A, 501, 1269Google Scholar
Prugniel, P. & Soubiran, C. 2001, A&A, 369, 1048Google Scholar
Prugniel, P., Vauglin, I., & Koleva, M. 2011, A&A 531 A165+Google Scholar
Rodríguez-Merino, L. H., Chavez, M., Bertone, E., & Buzzoni, A. 2005, ApJ, 626, 411CrossRefGoogle Scholar
Sánchez-Blázquez, P., Peletier, R. F., Jiménez-Vicente, J., et al. 2006, MNRAS, 371, 703Google Scholar
Munari, U., Sordo, R., Castelli, F., & Zwitter, T. 2005, A&A, 442, 1127Google Scholar