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The age-metallicity relation with RAVE and TGAS

Published online by Cambridge University Press:  07 March 2018

Jennifer Wojno ,
Georges Kordopatis ,
Matthias Steinmetz ,
Paul J. McMillan  and
the RAVE collaboration
Jennifer Wojno
Affiliation:
Leibniz Institut für Astrophysik Potsdam, Potsdam, Germany
Georges Kordopatis
Affiliation:
Laboratoire Lagrange, Université Côte d'Azur, Observatoire de la Côte d'Azur, Nice, France
Matthias Steinmetz
Affiliation:
Leibniz Institut für Astrophysik Potsdam, Potsdam, Germany
Paul J. McMillan
Affiliation:
Lund Observatory, Lund University, Lund, Sweden
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Abstract

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Using RAVE data release 5 (DR5), we explore the age and chemistry of a sample of ~25,000 FGK turnoff stars in the extended solar neighbourhood (7 < R < 9 kpc), by separating our sample into two chemical disc components, and investigating the nature of the age-metallicity relation for both. Overall, we find a flat trend in [Fe/H] as a function of age for our α-low disc, and a correlation between age and metallicity for the oldest α-high stars, confirming age-metallicity trends found in more local, high-resolution studies now for a larger volume. We also find a positive gradient in [Mg/Fe] as a function of age for our oldest stars. These results have implications for models which include dynamical evolutionary processes such as radial migration.

Keywords

stars: agesstars: abundancesGalaxy: formation
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S330: Astrometry and Astrophysics in the Gaia sky , April 2017 , pp. 279 - 280
Copyright
Copyright © International Astronomical Union 2018 

References

Bensby, T., Feltzing, S., & Oey, M. S., 2014, A&A, 562, A71 Google Scholar
Binney, J., Burnett, B., Kordopatis, G., et al. 2014, MNRAS, 437, 351 CrossRefGoogle Scholar
Fuhrmann, K., Chini, R., Kaderhandt, L., & Chen, Z., 2017, MNRAS, 464, 2610 CrossRefGoogle Scholar
Haywood, M., Di Matteo, P., Lehnert, M. D., Katz, D., & Gómez, A., 2013, A&A, 560, A109 Google Scholar
Haywood, M., Di Matteo, P., Snaith, O., & Lehnert, M. D., 2015, A&A, 579, A5 Google Scholar
Kunder, A., Kordopatis, G., Steinmetz, M., et al. 2017, AJ, 153, 75 Google Scholar
Lindegren, L., Lammers, U., Bastian, U., et al. 2016, A&A, 595, A4 Google Scholar
Steinmetz, M., Zwitter, T., Siebert, A., et al. 2006, AJ, 132, 1645 CrossRefGoogle Scholar
Wojno, J., Kordopatis, G., Steinmetz, M., et al. 2016, MNRAS, 461, 4246 Google Scholar