Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-27T00:38:44.306Z Has data issue: false hasContentIssue false

The RAdial Velocity Experiment: preparing the 6th Data Release chemical abundances with GAUGUIN

Published online by Cambridge University Press:  02 August 2018

Guillaume Guiglion
Affiliation:
Leibniz-Institut für Astrophysik Potsdam (AIP) An der Sternwarte 16, 14482 Potsdam email: [email protected]
THE RAVE COLLABORATION
Affiliation:
Leibniz-Institut für Astrophysik Potsdam (AIP) An der Sternwarte 16, 14482 Potsdam email: [email protected]
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.

In the context of the Radial Velocity Experiment (RAVE, Steinmetz et al. 2006), we present chemical abundances derived with the pipeline GAUGUIN. Based of 520 701 RAVE stars with medium resolution (R~7 500) spectra and stellar atmospheric parameters of the fifth Data Release, the analysis is performed around the infrared Ca-triple domain for 6 chemical elements: Mg, Ni, Si, Ti, Fe and Al. We discuss here the reliability of the chemical abundances provided by GAUGUIN, and the implications for the future Data Release 6 of the RAVE Survey. We also present elemental abundance patterns of Milky Way components based of kinematical criteria.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

References

Bijaoui, A., Recio-Blanco, A., de Laverny, P., et al. 2012, Stat. Met., 9, 55.Google Scholar
Boeche, C., Chiappini, C., Minchev, I., et al. 2013, A&A, 553, 19.Google Scholar
Guiglion, G., de Laverny, P., Recio-Blanco, A., et al. A&A, 2016, 595, A18.Google Scholar
Kordopatis, G., Recio-Blanco, A., de Laverny, P., et al. 2011, A&A, 535, A106.Google Scholar
Kunder, A., Kordopatis, G., & Steinmetz, M., et al., AJ, 2017, 153, 75.Google Scholar
Lindegren, L., Lammers, U., Bastian, U., et al., 2016, A&A, 595, A4.Google Scholar
Mikolaitis, S., Hill, V., Recio-Blanco, A., et al. 2014, A&A, 572, A33.Google Scholar
&Nissen, P. E. & Schuster, W. J., 2010, A&A, 511, L10.Google Scholar
Ruchti, G. R., Fulbright, J. P., Wyse, R. F. G., et al. 2011, ApJ, 737, 9.Google Scholar
Soubiran, C. & Girard, P., 2005, A&A, 438, 139.Google Scholar
Smiljanic, R., Romano, D., Bragaglia, A., et al., 2016, A&A, 589, A115.Google Scholar
Steinmetz, M., Zwitter, T., & Siebert, A., et al. 2006, AJ, 132, 1645.Google Scholar
Valentini, M., Chiappini, C., & Davies, G.R., et al., 2017, A&A, 600, A66.Google Scholar