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The Gaia-ESO Survey: processing FLAMES-UVES spectra

Sacco, G. G.; Morbidelli, L.; Franciosini, E.; Majorca, E.; Randich, S.; Modigliani, A.; Gilmore, G.; Asplund, M.; Binney, J. and Bordfacio, P., et al. (2014) In Astronomy & Astrophysics 565.
Abstract
The Gaia-ESO Survey is a large public spectroscopic survey that aims to derive radial velocities and fundamental parameters of about 10(5) 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 similar to 20 000) GIRAFFE spectrograph and the high-resolution (R similar to 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... (More)
The Gaia-ESO Survey is a large public spectroscopic survey that aims to derive radial velocities and fundamental parameters of about 10(5) 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 similar to 20 000) GIRAFFE spectrograph and the high-resolution (R similar to 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 sigma similar to 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 (similar to 0.9 km s(-1)) and to the radial velocities of the standard stars (similar to 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. (Less)
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methods: data analysis, techniques: spectroscopic, techniques: radial, velocities, surveys, stars: general
in
Astronomy & Astrophysics
volume
565
publisher
EDP Sciences
external identifiers
  • wos:000336730900113
  • scopus:84901364963
ISSN
0004-6361
DOI
10.1051/0004-6361/201423619
language
English
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6b8cf63e-e71c-4f54-acd7-def2d1a8976f (old id 4552201)
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2014-07-17 09:47:37
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@article{6b8cf63e-e71c-4f54-acd7-def2d1a8976f,
  abstract     = {The Gaia-ESO Survey is a large public spectroscopic survey that aims to derive radial velocities and fundamental parameters of about 10(5) 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 similar to 20 000) GIRAFFE spectrograph and the high-resolution (R similar to 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 sigma similar to 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 (similar to 0.9 km s(-1)) and to the radial velocities of the standard stars (similar to 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.},
  articleno    = {A113},
  author       = {Sacco, G. G. and Morbidelli, L. and Franciosini, E. and Majorca, E. and Randich, S. and Modigliani, A. and Gilmore, G. and Asplund, M. and Binney, J. and Bordfacio, P. and Drew, J. and Feltzing, Sofia and Ferguson, A. and Jeffries, R. and Micela, G. and Negueruela, I. and Prusti, T. and Rix, H-W. and Vallenari, A. and Alfaro, E. and Prieto, C. Allende and Babusiaux, C. and Bensby, Thomas and Blomme, R. and Bragaglia, A. and Flaccomio, E. and Francois, P. and Hambly, N. and Irwin, M. and Koposov, S. and Korn, A. and Lanzafame, A. and Pancino, F. and Recio-Blanco, A. and Smiljanic, R. and Van Eck, S. and Walton, N. and Bergemann, M. and Costado, M. T. and de Laverny, P. and Heiter, U. and Hill, V. and Hourihane, A. and Jackson, R. and Jofre, P. and Lewis, J. and Lind, K. and Lardo, C. and Magrini, L. and Masseron, T. and Prisinzano, L. and Worley, C.},
  issn         = {0004-6361},
  keyword      = {methods: data analysis,techniques: spectroscopic,techniques: radial,velocities,surveys,stars: general},
  language     = {eng},
  publisher    = {EDP Sciences},
  series       = {Astronomy & Astrophysics},
  title        = {The Gaia-ESO Survey: processing FLAMES-UVES spectra},
  url          = {http://dx.doi.org/10.1051/0004-6361/201423619},
  volume       = {565},
  year         = {2014},
}