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Atomic data for stellar spectroscopy

Published online by Cambridge University Press:  03 March 2020

Ulrike Heiter
Ulrike Heiter*
Affiliation:
Observational Astrophysics, Department of Physics and Astronomy, Uppsala University, Box 516, 751 20Uppsala, Sweden
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Abstract

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High-precision spectroscopy of large stellar samples plays a crucial role for several topical issues in astrophysics, such as studying the chemical evolution of the Milky Way Galaxy. Data are accumulating from instruments that obtain high-quality spectra of stars in the ultraviolet, optical and infrared wavelength regions on a routine basis. The interpretation of these spectra is often based on synthetic stellar spectra, either calculated on the fly or taken from a spectral library. One of the most important ingredients of these spectra is a set of high-quality transition data for numerous species, in particular neutral and singly ionized atoms. We rely heavily on the continuous activities of laboratory astrophysics groups that produce and improve the relevant experimental and theoretical atomic data. As an example, we briefly describe the efforts done in the context of the Gaia-ESO Public Spectroscopic Survey to compile and assess the best available data in a standard way, providing a list of recommended lines for analysis of optical spectra of FGK stars. The line data, together with specialised analysis methods, allow different surveys to obtain abundances with typical precisions of ∼0.1 dex on an industrial scale for ∼10 chemical elements. Several elements with urgent need for better atomic data have been identified.

Keywords

atomic datastars: late-typetechniques: spectroscopicsurveys
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 14 , Symposium A30: Astronomy in Focus XXX , August 2018 , pp. 458 - 462
Copyright
© International Astronomical Union 2020

Footnotes

†

and the Gaia-ESO line list group (Karin Lind, Maria Bergemann, Martin Asplund, Paul S. Barklem, Šarunas Mikolaitis, Thomas Masseron, Patrick de Laverny, Laura Magrini et al.)

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