Bibcode
Sacco, G. G.; Morbidelli, L.; Franciosini, E.; Maiorca, E.; Randich, S.; Modigliani, A.; Gilmore, G.; Asplund, M.; Binney, J.; Bonifacio, P.; Drew, J.; Feltzing, S.; Ferguson, A.; Jeffries, R.; Micela, G.; Negueruela, I.; Prusti, T.; Rix, H.-W.; Vallenari, A.; Alfaro, E.; Allende Prieto, C.; Babusiaux, C.; Bensby, T.; Blomme, R.; Bragaglia, A.; Flaccomio, E.; Francois, P.; Hambly, N.; Irwin, M.; Koposov, S.; Korn, A.; Lanzafame, A.; Pancino, E.; Recio-Blanco, A.; Smiljanic, R.; Van Eck, S.; Walton, N.; Bergemann, M.; Costado, M. T.; de Laverny, P.; Heiter, U.; Hill, V.; Hourihane, A.; Jackson, R.; Jofre, P.; Lewis, J.; Lind, K.; Lardo, C.; Magrini, L.; Masseron, T.; Prisinzano, L.; Worley, C.
Bibliographical reference
Astronomy and Astrophysics, Volume 565, id.A113, 11 pp.
Advertised on:
5
2014
Journal
Citations
79
Refereed citations
74
Description
The Gaia-ESO Survey is a large public spectroscopic survey that aims to
derive radial velocities and fundamental parameters of about
105 Milky Way stars in the field and in clusters.
Observations are carried out with the multi-object optical spectrograph
FLAMES, using simultaneously the medium-resolution (R ~ 20 000) GIRAFFE
spectrograph and the high-resolution (R ~ 47 000) UVES spectrograph. In
this paper we describe the methods and the software used for the data
reduction, the derivation of the radial velocities, and the quality
control of the FLAMES-UVES spectra. Data reduction has been performed
using a workflow specifically developed for this project. This workflow
runs the ESO public pipeline optimizing the data reduction for the
Gaia-ESO Survey, automatically performs sky subtraction, barycentric
correction and normalisation, and calculates radial velocities and a
first guess of the rotational velocities. The quality control is
performed using the output parameters from the ESO pipeline, by a visual
inspection of the spectra and by the analysis of the signal-to-noise
ratio of the spectra. Using the observations of the first 18 months,
specifically targets observed multiple times at different epochs, stars
observed with both GIRAFFE and UVES, and observations of radial velocity
standards, we estimated the precision and the accuracy of the radial
velocities. The statistical error on the radial velocities is σ ~
0.4 km s-1 and is mainly due to uncertainties in the zero
point of the wavelength calibration. However, we found a systematic bias
with respect to the GIRAFFE spectra (~0.9 km s-1) and to the
radial velocities of the standard stars (~0.5 km s-1)
retrieved from the literature. This bias will be corrected in the future
data releases, when a common zero point for all the set-ups and
instruments used for the survey is be established.
Based on observations made with the ESO/VLT, at Paranal Observatory,
under programme 188.B-3002 (The Gaia-ESO Public Spectroscopic Survey).
Related projects
Chemical Abundances in Stars
Stellar spectroscopy allows us to determine the properties and chemical compositions of stars. From this information for stars of different ages in the Milky Way, it is possible to reconstruct the chemical evolution of the Galaxy, as well as the origin of the elements heavier than boron, created mainly in stellar interiors. It is also possible to
Carlos
Allende Prieto