Hostname: page-component-77c89778f8-gvh9x Total loading time: 0 Render date: 2024-07-18T20:39:13.650Z Has data issue: false hasContentIssue false
  • English
  • Français

Impact of NLTE on determinations of atmospheric parameters and chemical abundances of very metal-poor stars

Published online by Cambridge University Press:  02 August 2018

Lyudmila Mashonkina ,
Tatyana Sitnova ,
Yuri Pakhomov  and
Tatyana Ryabchikova
Lyudmila Mashonkina
Affiliation:
Institute of Astronomy, Russian Academy of Sciences Pyatnitskaya st. 48, RU-119017 Moscow, Russia email: lima@inasan.ru
Tatyana Sitnova
Affiliation:
Institute of Astronomy, Russian Academy of Sciences Pyatnitskaya st. 48, RU-119017 Moscow, Russia email: lima@inasan.ru
Yuri Pakhomov
Affiliation:
Institute of Astronomy, Russian Academy of Sciences Pyatnitskaya st. 48, RU-119017 Moscow, Russia email: lima@inasan.ru
Tatyana Ryabchikova
Affiliation:
Institute of Astronomy, Russian Academy of Sciences Pyatnitskaya st. 48, RU-119017 Moscow, Russia email: lima@inasan.ru
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.

Based on high-resolution spectral observations for a sample of very metal-poor stars, we investigate how well stellar chemical abundances can be derived with available theoretical methods and computational tools.

Keywords

line: formationmethods: numericalstars: abundancesstars: atmospheres
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 13 , Symposium S334: Rediscovering our Galaxy , July 2017 , pp. 333 - 334
Copyright
Copyright © International Astronomical Union 2018 

References

Cohen, J. G., Christlieb, N., Thompson, I., et al. 2013, ApJ, 778, 56Google Scholar
Cohen, J. G. & Huang, W., 2010, ApJ, 719, 931Google Scholar
Frebel, A., Simon, J. D., Geha, M., & Willman, B., 2010, ApJ, 708, 560Google Scholar
Frebel, A., Norris, J. E., Gilmore, G., & Wyse, R. F. G., 2016, ApJ, 826, 110Google Scholar
Gilmore, G., Norris, J. E., Monaco, L., et al. 2013, ApJ, 763, 61Google Scholar
Jablonka, P., North, P., Mashonkina, L., et al. 2015, A&A, 583, A67Google Scholar
Kirby, E. & Cohen, J. G., 2012, AJ, 144, 108Google Scholar
Mashonkina, L., Jablonka, P., Pakhomov, Y., et al. 2017, AA, pressGoogle Scholar
Mashonkina, L., Jablonka, P., Sitnova, T., et al. 2017, AA, submittedGoogle Scholar
Norris, J. E., Yong, D., Gilmore, G., & Wyse, R. F. G., 2010, ApJ, 711, 350Google Scholar
Simon, J. D., Frebel, A., McWilliam, A., et al. 2010, ApJ, 716, 446Google Scholar
Simon, J. D., Jacobson, H. R., Frebel, A., et al. 2015, ApJ, 802, 93Google Scholar
Tafelmeyer, M., Jablonka, P., Hill, V., et al. 2010, A&A, 524, A58Google Scholar
Ural, U., Cescutti, G., Koch, A., et al. 2015, MNRAS, 449, 761Google Scholar