https://doi.org/10.1051/epjconf/20121909010
Automated stellar spectra parameterisation for Gaia-RVS
1 Université de Nice Sophia Antipolis, CNRS, Observatoire de la Côte d’Azur, Cassiopée UMR 6202, BP. 4229, 06304 Nice, France
2 Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK
3 Johns Hopkins University, Baltimore, MD, USA
a e-mail: Georges.Kordopatis@oca.eu
Degeneracies in the stellar atmospheric parameters can pollute large spectroscopic surveys, introducing possible biases in the derived distances, kinematics and chemical abundances. We focus at the wavelength range shared by RAVE, the RVS of Gaia and the ESO-FLAMES/GIRAFFE spectrograph setups LR8 and HR21. Based on the algorithms DEGAS and MATISSE, trained on a grid of synthetic spectra, we propose a pipeline in order to derive the atmospheric parameters.
© Owned by the authors, published by EDP Sciences, 2012