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The Gaia -ESO Survey : The analysis of the hot-star spectra

Blomme, R. ; Daflon, S. ; Gebran, M. ; Herrero, A. ; Lobel, A. ; Mahy, L. ; Martins, F. ; Morel, T. ; Berlanas, S. R. and Blazère, A. , et al. (2022) In Astronomy and Astrophysics 661.
Abstract

Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey that has collected, over a period of six years, spectra of ~105 stars. This survey provides not only the reduced spectra, but also the stellar parameters and abundances resulting from the analysis of the spectra. Aims. The GES dataflow is organised in 19 working groups. Working group 13 (WG13) is responsible for the spectral analysis of the hottest stars (O, B, and A type, with a formal cutoff of Teff > 7000 K) that were observed as part of GES. We present the procedures and techniques that have been applied to the reduced spectra in order to determine the stellar parameters and abundances of these stars. Methods. The procedure used was similar to that of other... (More)

Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey that has collected, over a period of six years, spectra of ~105 stars. This survey provides not only the reduced spectra, but also the stellar parameters and abundances resulting from the analysis of the spectra. Aims. The GES dataflow is organised in 19 working groups. Working group 13 (WG13) is responsible for the spectral analysis of the hottest stars (O, B, and A type, with a formal cutoff of Teff > 7000 K) that were observed as part of GES. We present the procedures and techniques that have been applied to the reduced spectra in order to determine the stellar parameters and abundances of these stars. Methods. The procedure used was similar to that of other working groups in GES. A number of groups (called Nodes) each independently analyse the spectra via state-of-the-art techniques and codes. Specific for the analysis in WG13 was the large temperature range covered (Teff-7000- 50 000 K), requiring the use of different analysis codes. Most Nodes could therefore only handle part of the data. Quality checks were applied to the results of these Nodes by comparing them to benchmark stars, and by comparing them to one another. For each star the Node values were then homogenised into a single result: the recommended parameters and abundances. Results. Eight Nodes each analysed part of the data. In total 17 693 spectra of 6462 stars were analysed, most of them in 37 open star clusters. The homogenisation led to stellar parameters for 5584 stars. Abundances were determined for a more limited number of stars. The elements studied are He, C, N, O, Ne, Mg, Al, Si, and Sc. Abundances for at least one of these elements were determined for 292 stars. Conclusions. The hot-star data analysed here, as well as the GES data in general, will be of considerable use in future studies of stellar evolution and open clusters.

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type
Contribution to journal
publication status
published
subject
keywords
Catalogs, Stars: abundances, Stars: early-type, Stars: fundamental parameters, Surveys, Techniques: spectroscopic
in
Astronomy and Astrophysics
volume
661
article number
A120
publisher
EDP Sciences
external identifiers
  • scopus:85126968193
ISSN
0004-6361
DOI
10.1051/0004-6361/202142349
language
English
LU publication?
yes
id
febac249-4402-4e9a-869e-6ef1c8bc01f5
date added to LUP
2022-10-28 11:46:47
date last changed
2024-04-18 15:19:06
@article{febac249-4402-4e9a-869e-6ef1c8bc01f5,
  abstract     = {{<p>Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey that has collected, over a period of six years, spectra of ~105 stars. This survey provides not only the reduced spectra, but also the stellar parameters and abundances resulting from the analysis of the spectra. Aims. The GES dataflow is organised in 19 working groups. Working group 13 (WG13) is responsible for the spectral analysis of the hottest stars (O, B, and A type, with a formal cutoff of Teff &gt; 7000 K) that were observed as part of GES. We present the procedures and techniques that have been applied to the reduced spectra in order to determine the stellar parameters and abundances of these stars. Methods. The procedure used was similar to that of other working groups in GES. A number of groups (called Nodes) each independently analyse the spectra via state-of-the-art techniques and codes. Specific for the analysis in WG13 was the large temperature range covered (Teff-7000- 50 000 K), requiring the use of different analysis codes. Most Nodes could therefore only handle part of the data. Quality checks were applied to the results of these Nodes by comparing them to benchmark stars, and by comparing them to one another. For each star the Node values were then homogenised into a single result: the recommended parameters and abundances. Results. Eight Nodes each analysed part of the data. In total 17 693 spectra of 6462 stars were analysed, most of them in 37 open star clusters. The homogenisation led to stellar parameters for 5584 stars. Abundances were determined for a more limited number of stars. The elements studied are He, C, N, O, Ne, Mg, Al, Si, and Sc. Abundances for at least one of these elements were determined for 292 stars. Conclusions. The hot-star data analysed here, as well as the GES data in general, will be of considerable use in future studies of stellar evolution and open clusters.</p>}},
  author       = {{Blomme, R. and Daflon, S. and Gebran, M. and Herrero, A. and Lobel, A. and Mahy, L. and Martins, F. and Morel, T. and Berlanas, S. R. and Blazère, A. and Frémat, Y. and Gosset, E. and Maíz Apellániz, J. and Santos, W. and Semaan, T. and Simón-Díaz, S. and Volpi, D. and Holgado, G. and Jiménez-Esteban, F. and Nieva, M. F. and Przybilla, N. and Gilmore, G. and Randich, S. and Negueruela, I. and Prusti, T. and Vallenari, A. and Alfaro, E. J. and Bensby, T. and Bragaglia, A. and Flaccomio, E. and Francois, P. and Korn, A. J. and Lanzafame, A. and Pancino, E. and Smiljanic, R. and Bergemann, M. and Carraro, G. and Franciosini, E. and Gonneau, A. and Heiter, U. and Hourihane, A. and Jofré, P. and Magrini, L. and Morbidelli, L. and Sacco, G. G. and Worley, C. C. and Zaggia, S.}},
  issn         = {{0004-6361}},
  keywords     = {{Catalogs; Stars: abundances; Stars: early-type; Stars: fundamental parameters; Surveys; Techniques: spectroscopic}},
  language     = {{eng}},
  month        = {{05}},
  publisher    = {{EDP Sciences}},
  series       = {{Astronomy and Astrophysics}},
  title        = {{The Gaia -ESO Survey : The analysis of the hot-star spectra}},
  url          = {{http://dx.doi.org/10.1051/0004-6361/202142349}},
  doi          = {{10.1051/0004-6361/202142349}},
  volume       = {{661}},
  year         = {{2022}},
}