The Gaia-ESO survey: Calibration strategy
(2017) In Astronomy and Astrophysics 598.- Abstract
The Gaia-ESO survey (GES) is now in its fifth and last year of observations and has produced tens of thousands of high-quality spectra of stars in all Milky Way components. This paper presents the strategy behind the selection of astrophysical calibration targets, ensuring that all GES results on radial velocities, atmospheric parameters, and chemical abundance ratios will be both internally consistent and easily comparable with other literature results, especially from other large spectroscopic surveys and from Gaia. The calibration of GES is particularly delicate because of (i) the large space of parameters covered by its targets, ranging from dwarfs to giants, from O to M stars; these targets have a large wide of metallicities and... (More)
The Gaia-ESO survey (GES) is now in its fifth and last year of observations and has produced tens of thousands of high-quality spectra of stars in all Milky Way components. This paper presents the strategy behind the selection of astrophysical calibration targets, ensuring that all GES results on radial velocities, atmospheric parameters, and chemical abundance ratios will be both internally consistent and easily comparable with other literature results, especially from other large spectroscopic surveys and from Gaia. The calibration of GES is particularly delicate because of (i) the large space of parameters covered by its targets, ranging from dwarfs to giants, from O to M stars; these targets have a large wide of metallicities and also include fast rotators, emission line objects, and stars affected by veiling; (ii) the variety of observing setups, with different wavelength ranges and resolution; and (iii) the choice of analyzing the data with many different state-of-the-art methods, each stronger in a different region of the parameter space, which ensures a better understanding of systematic uncertainties. An overview of the GES calibration and homogenization strategy is also given, along with some examples of the usage and results of calibrators in GES iDR4, which is the fourth internal GES data release and will form the basis of the next GES public data release. The agreement between GES iDR4 recommended values and reference values for the calibrating objects are very satisfactory. The average offsets and spreads are generally compatible with the GES measurement errors, which in iDR4 data already meet the requirements set by the main GES scientific goals.
(Less)
- author
- author collaboration
- organization
- publishing date
- 2017-02-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Galaxy: general, Stars: abundances, Surveys, Techniques: radial velocities, Techniques: spectroscopic
- in
- Astronomy and Astrophysics
- volume
- 598
- article number
- A5
- publisher
- EDP Sciences
- external identifiers
-
- scopus:85011012862
- ISSN
- 0004-6361
- DOI
- 10.1051/0004-6361/201629450
- project
- Gaia-ESO Survey
- language
- English
- LU publication?
- yes
- id
- 02efd50b-6159-4fa9-93c5-a8e75982afae
- date added to LUP
- 2019-05-31 12:49:08
- date last changed
- 2024-04-16 09:19:34
@article{02efd50b-6159-4fa9-93c5-a8e75982afae, abstract = {{<p>The Gaia-ESO survey (GES) is now in its fifth and last year of observations and has produced tens of thousands of high-quality spectra of stars in all Milky Way components. This paper presents the strategy behind the selection of astrophysical calibration targets, ensuring that all GES results on radial velocities, atmospheric parameters, and chemical abundance ratios will be both internally consistent and easily comparable with other literature results, especially from other large spectroscopic surveys and from Gaia. The calibration of GES is particularly delicate because of (i) the large space of parameters covered by its targets, ranging from dwarfs to giants, from O to M stars; these targets have a large wide of metallicities and also include fast rotators, emission line objects, and stars affected by veiling; (ii) the variety of observing setups, with different wavelength ranges and resolution; and (iii) the choice of analyzing the data with many different state-of-the-art methods, each stronger in a different region of the parameter space, which ensures a better understanding of systematic uncertainties. An overview of the GES calibration and homogenization strategy is also given, along with some examples of the usage and results of calibrators in GES iDR4, which is the fourth internal GES data release and will form the basis of the next GES public data release. The agreement between GES iDR4 recommended values and reference values for the calibrating objects are very satisfactory. The average offsets and spreads are generally compatible with the GES measurement errors, which in iDR4 data already meet the requirements set by the main GES scientific goals.</p>}}, author = {{Pancino, E. and Lardo, C. and Altavilla, G. and Marinoni, S. and Ragaini, S. and Cocozza, G. and Bellazzini, M. and Sabbi, E. and Zoccali, M. and Donati, P. and Heiter, U. and Koposov, S. E. and Blomme, R. and Morel, T. and Símon-Díaz, S. and Lobel, A. and Soubiran, C. and Montalban, J. and Valentini, M. and Casey, A. R. and Blanco-Cuaresma, S. and Jofré, P. and Worley, C. C. and Magrini, L. and Hourihane, A. and François, P. and Feltzing, S. and Gilmore, G. and Randich, S. and Asplund, M. and Bonifacio, P. and Drew, J. E. and Jeffries, R. D. and Micela, G. and Vallenari, A. and Alfaro, E. J. and Allende Prieto, C. and Babusiaux, C. and Bensby, T. and Bragaglia, A. and Flaccomio, E. and Hambly, N. and Korn, A. J. and Lanzafame, A. C. and Smiljanic, R. and Van Eck, S. and Walton, N. A. and Bayo, A. and Carraro, G. and Edvardsson, B.}}, issn = {{0004-6361}}, keywords = {{Galaxy: general; Stars: abundances; Surveys; Techniques: radial velocities; Techniques: spectroscopic}}, language = {{eng}}, month = {{02}}, publisher = {{EDP Sciences}}, series = {{Astronomy and Astrophysics}}, title = {{The Gaia-ESO survey: Calibration strategy}}, url = {{http://dx.doi.org/10.1051/0004-6361/201629450}}, doi = {{10.1051/0004-6361/201629450}}, volume = {{598}}, year = {{2017}}, }