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14 results on '"Feuillet, D K"'

1. The Gaia-ESO Survey: The DR5 analysis of the medium-resolution GIRAFFE and high-resolution UVES spectra of FGK-type stars

Author

Worley, C. C., Smiljanic, R., Magrini, L., Frasca, A., Franciosini, E., Montes, D., Feuillet, D. K., Tabernero, H. M., Hernández, J. I. González, Villanova, S., Mikolaitis, Š., Lind, K., Tautvaišienė, G., Casey, A. R., Korn, A. J., Bonifacio, P., Soubiran, C., Caffau, E., Guiglion, G., Merle, T., Hourihane, A., Gonneau, A., François, P., Randich, S., Gilmore, G., Lewis, J. R., Murphy, D. N. A., Jeffries, R. D., Koposov, S. E., Blomme, R., Lanzafame, A. C., Bensby, T., Bragaglia, A., Alfaro, E. J., Walton, N. A., Vallenari, A., Prusti, T., Biazzo, K., Jofré, P., Zaggia, S., Heiter, U., Marfil, E., Jiménez-Esteban, F., Albarrán, M. L. Gutiérrez, and Morbidelli, L.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Gaia-ESO Survey is an European Southern Observatory (ESO) public spectroscopic survey that targeted $10^5$ stars in the Milky Way covering the major populations of the disk, bulge and halo. The observations were made using FLAMES on the VLT obtaining both UVES high ($R\sim47,000$) and GIRAFFE medium ($R\sim20,000$) resolution spectra. The analysis of the Gaia-ESO spectra was the work of multiple analysis teams (nodes) within five working groups (WG). The homogenisation of the stellar parameters within WG11 (high resolution observations of FGK stars) and the homogenisation of the stellar parameters within WG10 (medium resolution observations of FGK stars) is described here. In both cases, the homogenisation was carried out using a bayesian Inference method developed specifically for the Gaia-ESO Survey by WG11. The WG10 homogenisation primarily used the cross-match of stars with WG11 as the reference set in both the stellar parameter and chemical abundance homogenisation. In this way the WG10 homogenised results have been placed directly onto the WG11 stellar parameter and chemical abundance scales. The reference set for the metal-poor end was sparse which limited the effectiveness of the homogenisation in that regime. For WG11, the total number of stars for which stellar parameters were derived was 6,231 with typical uncertainties for Teff, log g and [Fe/H] of 32~K, 0.05 and 0.05 respectively. One or more chemical abundances out of a possible 39 elements were derived for 6,188 of the stars. For WG10, the total number of stars for which stellar parameters were derived was 76,675 with typical uncertainties for Teff, log g and [Fe/H] of 64~K, 0.15 and 0.07 respectively. One or more chemical abundances out of a possible 30 elements were derived for 64,177 of the stars., Comment: 31 pages, 19 figures

Published
2024

2. The Gaia-ESO Survey: homogenisation of stellar parameters and elemental abundances

Author

Hourihane, A., Francois, P., Worley, C. C., Magrini, L., Gonneau, A., Casey, A. R., Gilmore, G., Randich, S., Sacco, G. G., Recio-Blanco, A., Korn, A. J., Prieto, C. Allende, Smiljanic, R., Blomme, R., Bragaglia, A., Walton, N. A., Van Eck, S., Bensby, T., Lanzafame, A, Frasca, A., Franciosini, E., Damiani, F., Lind, K., Bergemann, M., Bonifacio, P., Hill, V., Lobel, A., Montes, D., Feuillet, D. K., Tautvaisene, G., Guiglion, G., Tabernero, H. M., Hernandez, J. I. Gonzalez, Gebran, M., Van der Swaelmen, M., Mikolaitis, Daflon, S., Merle, T., Morel, T., Lewis, J. R., Solares, E. A. Gonzalez, Murphy, D. N. A., Jeffries, R. D., Jackson, R. J., Feltzing, S., Prusti, T., Carraro, G., Biazzo, K., Prisinzano, L., Jofre, P., Zaggia, S., Drazdauskas, A., Stonkute, E., Marfil, E., Jimenez-Esteban, F., Mahy, L., Albarran, M. L. Gutierrez, Berlanas, S. R., Santos, W., Morbidelli, L., Spina, L., and Minkeviciute, R.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

The Gaia-ESO Survey is a public spectroscopic survey that has targeted $\gtrsim10^5$ stars covering all major components of the Milky Way from the end of 2011 to 2018, delivering its public final release in May 2022. Unlike other spectroscopic surveys, Gaia-ESO is the only survey that observed stars across all spectral types with dedicated, specialised analyses: from O ($T_\mathrm{eff} \sim 30,000-52,000$~K) all the way to K-M ($\gtrsim$3,500~K). The physics throughout these stellar regimes varies significantly, which has previously prohibited any detailed comparisons between stars of significantly different type. In the final data release (internal data release 6) of the Gaia-ESO Survey, we provide the final database containing a large number of products such as radial velocities, stellar parameters and elemental abundances, rotational velocity, and also, e.g., activity and accretion indicators in young stars and membership probability in star clusters for more than 114,000 stars. The spectral analysis is coordinated by a number of Working Groups (WGs) within the Survey, which specialise in the various stellar samples. Common targets are analysed across WGs to allow for comparisons (and calibrations) amongst instrumental setups and spectral types. Here we describe the procedures employed to ensure all Survey results are placed on a common scale to arrive at a single set of recommended results for all Survey collaborators to use. We also present some general quality and consistency checks performed over all Survey results., Comment: A&A accepted, minor revision, 36 pages, 38 figures

Published
2023
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3. The Gaia-ESO Survey: Lithium measurements and new curves of growth

Author

Franciosini, E., Randich, S., de Laverny, P., Biazzo, K., Feuillet, D. K., Frasca, A., Lind, K., Prisinzano, L., Tautvaišienė, G., Lanzafame, A. C., Smiljanic, R., Gonneau, A., Magrini, L., Pancino, E., Guiglion, G., Sacco, G. G., Sanna, N., Gilmore, G., Bonifacio, P., Jeffries, R. D., Micela, G., Prusti, T., Alfaro, E. J., Bensby, T., Bragaglia, A., François, P., Korn, A. J., Van Eck, S., Bayo, A., Bergemann, M., Carraro, G., Heiter, U., Hourihane, A., Jofré, P., Lewis, J., Martayan, C., Monaco, L., Morbidelli, L., Worley, C. C., and Zaggia, S.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies
Abstract

The Gaia-ESO Survey (GES) is a large public spectroscopic survey that was carried out using the multi-object FLAMES spectrograph at the Very Large Telescope. The survey provides accurate radial velocities, stellar parameters, and elemental abundances for ~115,000 stars in all Milky Way components. In this paper we describe the method adopted in the final data release to derive lithium equivalent widths (EWs) and abundances. Lithium EWs were measured using two different approaches for FGK and M-type stars, to account for the intrinsic differences in the spectra. For FGK stars, we fitted the lithium line using Gaussian components, while direct integration over a predefined interval was adopted for M-type stars. Care was taken to ensure continuity between the two regimes. Abundances were derived using a new set of homogeneous curves of growth that were derived specifically for GES, and which were measured on a synthetic spectral grid consistently with the way the EWs were measured. The derived abundances were validated by comparison with those measured by other analysis groups using different methods. Lithium EWs were measured for ~40,000 stars, and abundances could be derived for ~38,000 of them. The vast majority of the measures (80%) have been obtained for stars in open cluster fields. The remaining objects are stars in globular clusters, or field stars in the Milky Way disc, bulge, and halo. The GES dataset of homogeneous lithium abundances described here will be valuable for our understanding of several processes, from stellar evolution and internal mixing in stars at different evolutionary stages to Galactic evolution., Comment: 15 pages, 15 figures. Accepted by Astronomy & Astrophysics

Published
2022
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4. The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

Author

Gilmore, G., Randich, S., Worley, C. C., Hourihane, A., Gonneau, A., Sacco, G. G., Lewis, J. R., Magrini, L., Francois, P., Jeffries, R. D., Koposov, S. E., Bragaglia, A., Alfaro, E. J., Prieto, C. Allende, Blomme, R., Korn, A. J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bensby, T., Flaccomio, E., Irwin, M. J., Franciosini, E., Morbidelli, L., Damiani, F., Bonito, R., Friel, E. D., Vink, J. S., Prisinzano, L., Abbas, U., Hatzidimitriou, D., Held, E. V., Jordi, C., Paunzen, E., Spagna, A., Jackson, R. J., Apellaniz, J. Maiz, Asplund, M., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, I., Prusti, T., Rix, H. -W., Vallenari, A., Bergemann, M., Casey, A. R., de Laverny, P., Frasca, A., Hill, V., Lind, K., Sbordone, L., Sousa, S. G., Adibekyan, V., Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Hernandez, J. I. Gonzalez, Guiglion, G., Herrero, A., Lobel, A., Merle, T., Mikolaitis, S., Montes, D., Morel, T., Ruchti, G., Soubiran, C., Tabernero, H. M., Tautvaisiene, G., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Vazquez, C. Viscasillas, Bayo, A., Biazzo, K., Carraro, G., Edvardsson, B., Heiter, U., Jofre, P., Marconi, G., Martayan, C., Masseron, T., Monaco, L., Walton, N. A., Zaggia, S., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, P. S., Barrado, D., Bellazzini, M., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, V., Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Albarran, M. L. Gutierrez, Jimenez-Esteban, F., Jonsson, H., Khachaturyants, T., Kordopatis, G., Kos, J., Lagarde, N., Ludwig, H. -G., Mahy, L., Mapelli, M., Marfil, E., Martell, S. L., Messina, S., Miglio, A., Minchev, I., Moitinho, A., Montalban, J., Monteiro, M. J. P. F. G., Morossi, C., Mowlavi, N., Mucciarelli, A., Murphy, D. N. A., Nardetto, N., Ortolani, S., Paletou, F., Palous, J., Pickering, J. C., Quirrenbach, A., Fiorentin, P. Re, Read, J. I., Romano, D., Ryde, N., Sanna, N., Santos, W., Seabroke, G. M., Spina, L., Steinmetz, M., Stonkute, E., Sutorius, E., Thevenin, F., Tosi, M., Tsantaki, M., Wright, N., Wyse, R. F. G., Zoccali, M., Zorec, J., and Zucker, D. B.

Subjects
Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Gaia-ESO Public Spectroscopic Survey is an ambitious project designed to obtain astrophysical parameters and elemental abundances for 100,000 stars, including large representative samples of the stellar populations in the Galaxy, and a well-defined sample of 60 (plus 20 archive) open clusters. We provide internally consistent results calibrated on benchmark stars and star clusters, extending across a very wide range of abundances and ages. This provides a legacy data set of intrinsic value, and equally a large wide-ranging dataset that is of value for homogenisation of other and future stellar surveys and Gaia's astrophysical parameters. This article provides an overview of the survey methodology, the scientific aims, and the implementation, including a description of the data processing for the GIRAFFE spectra. A companion paper (arXiv:2206.02901) introduces the survey results. Gaia-ESO aspires to quantify both random and systematic contributions to measurement uncertainties. Thus all available spectroscopic analysis techniques are utilised, each spectrum being analysed by up to several different analysis pipelines, with considerable effort being made to homogenise and calibrate the resulting parameters. We describe here the sequence of activities up to delivery of processed data products to the ESO Science Archive Facility for open use. The Gaia-ESO Survey obtained 202,000 spectra of 115,000 stars using 340 allocated VLT nights between December 2011 and January 2018 from GIRAFFE and UVES. The full consistently reduced final data set of spectra was released through the ESO Science Archive Facility in late 2020, with the full astrophysical parameters sets following in 2022., Comment: 38 pages. A&A in press

Published
2022
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5. The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy

Author

Randich, S., Gilmore, G., Magrini, L., Sacco, G. G., Jackson, R. J., Jeffries, R. D., Worley, C. C., Hourihane, A., Gonneau, A., Vàzquez, C. Viscasillas, Franciosini, E., Lewis, J. R., Alfaro, E. J., Prieto, C. Allende, Blomme, T. Bensby R., Bragaglia, A., Flaccomio, E., François, P., Irwin, M. J., Koposov, S. E., Korn, A. J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Asplund, M., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, I., Prusti, T., Rix, H. -W., Vallenari, A., Bayo, A., Bergemann, M., Biazzo, K., Carraro, G., Casey, A. R., Damiani, F., Frasca, A., Heiter, U., Hill, V., Jofré, P., de Laverny, P., Lind, K., Marconi, G., Martayan, C., Masseron, T., Monaco, L., Morbidelli, L., Prisinzano, L., Sbordone, L., Sousa, S. G., Zaggia, S., Adibekyan, V., Bonito, R., Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Hernández, J. I. González, Guiglion, G., Herrero, A., Lobel, A., Apellániz, J. Maíz, Merle, T., Mikolaitis, S., Montes, D., Morel, T., Soubiran, C., Spina, L., Tabernero, H. M., Tautvaišienė, G., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Wright, N. J., Abbas, U., Børsen-Koch, V. Aguirre, Alves, J., Balaguer-Núnez, L., Barklem, P. S., Barrado, D., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo--Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, V., Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Frémat, Y., Friel, E. D., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. González, Grebel, E. K., Albarrán, M. L. Gutiérrez, Hatzidimitriou, D., Held, E. V., Jiménez-Esteban, F., Jönsson, H., Jordi, C., Khachaturyants, T., Kordopatis, G., Kos, J., Lagarde, N., Mahy, L., Mapelli, M., Marfil, E., Martell, S. L., Messina, S., Miglio, A., Minchev, I., Moitinho, A., Montalban, J., Monteiro, M. J. P. F. G., Morossi, C., Mowlavi, N., Mucciarelli, A., Murphy, D. N. A., Nardetto, N., Ortolani, S., Paletou, F., Palouus, J., Paunzen, E., Pickering, J. C., Quirrenbach, A., Fiorentin, P. Re, Read, J. I., Romano, D., Ryde, N., Sanna, N., Santos, W., Seabroke, G. M., Spagna, A., Steinmetz, M., Stonkuté, E., Sutorius, E., Thévenin, F., Tosi, M., Tsantaki, M., Vink, J. S., Wright, N., Wyse, R. F. G., Zoccali, M., Zorec, J., Zucker, D. B., and Walton, N. A.

Subjects
Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics
Abstract

In the last 15 years different ground-based spectroscopic surveys have been started (and completed) with the general aim of delivering stellar parameters and elemental abundances for large samples of Galactic stars, complementing Gaia astrometry. Among those surveys, the Gaia-ESO Public Spectroscopic Survey (GES), the only one performed on a 8m class telescope, was designed to target 100,000 stars using FLAMES on the ESO VLT (both Giraffe and UVES spectrographs), covering all the Milky Way populations, with a special focus on open star clusters. This article provides an overview of the survey implementation (observations, data quality, analysis and its success, data products, and releases), of the open cluster survey, of the science results and potential, and of the survey legacy. A companion article (Gilmore et al.) reviews the overall survey motivation, strategy, Giraffe pipeline data reduction, organisation, and workflow. The GES has determined homogeneous good-quality radial velocities and stellar parameters for a large fraction of its more than 110,000 unique target stars. Elemental abundances were derived for up to 31 elements for targets observed with UVES. Lithium abundances are delivered for about 1/3 of the sample. The analysis and homogenisation strategies have proven to be successful; several science topics have been addressed by the Gaia-ESO consortium and the community, with many highlight results achieved. The final catalogue has been released through the ESO archive at the end of May 2022, including the complete set of advanced data products. In addition to these results, the Gaia-ESO Survey will leave a very important legacy, for several aspects and for many years to come., Comment: Accepted for publication in Astronomy and Astrophysics. 30 pages, 30 figures, 4 tables

Published
2022
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6. The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances

Author

Hourihane, A., primary, François, P., additional, Worley, C. C., additional, Magrini, L., additional, Gonneau, A., additional, Casey, A. R., additional, Gilmore, G., additional, Randich, S., additional, Sacco, G. G., additional, Recio-Blanco, A., additional, Korn, A. J., additional, Allende Prieto, C., additional, Smiljanic, R., additional, Blomme, R., additional, Bragaglia, A., additional, Walton, N. A., additional, Van Eck, S., additional, Bensby, T., additional, Lanzafame, A., additional, Frasca, A., additional, Franciosini, E., additional, Damiani, F., additional, Lind, K., additional, Bergemann, M., additional, Bonifacio, P., additional, Hill, V., additional, Lobel, A., additional, Montes, D., additional, Feuillet, D. K., additional, Tautvaišienė, G., additional, Guiglion, G., additional, Tabernero, H. M., additional, González Hernández, J. I., additional, Gebran, M., additional, Van der Swaelmen, M., additional, Mikolaitis, Š., additional, Daflon, S., additional, Merle, T., additional, Morel, T., additional, Lewis, J. R., additional, González Solares, E. A., additional, Murphy, D. N. A., additional, Jeffries, R. D., additional, Jackson, R. J., additional, Feltzing, S., additional, Prusti, T., additional, Carraro, G., additional, Biazzo, K., additional, Prisinzano, L., additional, Jofré, P., additional, Zaggia, S., additional, Drazdauskas, A., additional, Stonkuté, E., additional, Marfil, E., additional, Jiménez-Esteban, F., additional, Mahy, L., additional, Gutiérrez Albarrán, M. L., additional, Berlanas, S. R., additional, Santos, W., additional, Morbidelli, L., additional, Spina, L., additional, and Minkevičiūtė, R., additional

Published
2023
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7. The Gaia-ESO Survey:Homogenisation of stellar parameters and elemental abundances

Author

Hourihane, A., François, P., Worley, C. C., Magrini, L., Gonneau, A., Casey, A. R., Gilmore, G., Randich, S., Sacco, G. G., Recio-blanco, A., Korn, A. J., Allende Prieto, C., Smiljanic, R., Blomme, R., Bragaglia, A., Walton, N. A., Van Eck, S., Bensby, T., Lanzafame, A., Frasca, A., Franciosini, E., Damiani, F., Lind, K., Bergemann, M., Bonifacio, P., Hill, V., Lobel, A., Montes, D., Feuillet, D. K., Tautvaišienė, G., Guiglion, G., Tabernero, H. M., González Hernández, J. I., Gebran, M., Van Der Swaelmen, M., Mikolaitis, Š., Daflon, S., Merle, T., Morel, T., Lewis, J. R., González Solares, E. A., Murphy, D. N. A., Jeffries, R. D., Jackson, R. J., Feltzing, S., Prusti, T., Carraro, G., Biazzo, K., Prisinzano, L., Jofré, P., Zaggia, S., Drazdauskas, A., Stonkuté, E., Marfil, E., Jiménez-esteban, F., Mahy, L., Gutiérrez Albarrán, M. L., Berlanas, S. R., Santos, W., Morbidelli, L., Spina, L., Minkevičiūtė, R., Hourihane, A., François, P., Worley, C. C., Magrini, L., Gonneau, A., Casey, A. R., Gilmore, G., Randich, S., Sacco, G. G., Recio-blanco, A., Korn, A. J., Allende Prieto, C., Smiljanic, R., Blomme, R., Bragaglia, A., Walton, N. A., Van Eck, S., Bensby, T., Lanzafame, A., Frasca, A., Franciosini, E., Damiani, F., Lind, K., Bergemann, M., Bonifacio, P., Hill, V., Lobel, A., Montes, D., Feuillet, D. K., Tautvaišienė, G., Guiglion, G., Tabernero, H. M., González Hernández, J. I., Gebran, M., Van Der Swaelmen, M., Mikolaitis, Š., Daflon, S., Merle, T., Morel, T., Lewis, J. R., González Solares, E. A., Murphy, D. N. A., Jeffries, R. D., Jackson, R. J., Feltzing, S., Prusti, T., Carraro, G., Biazzo, K., Prisinzano, L., Jofré, P., Zaggia, S., Drazdauskas, A., Stonkuté, E., Marfil, E., Jiménez-esteban, F., Mahy, L., Gutiérrez Albarrán, M. L., Berlanas, S. R., Santos, W., Morbidelli, L., Spina, L., and Minkevičiūtė, R.

Published
2023

8. The Gaia-ESO Survey: Lithium measurements and new curves of growth,

Author

Franciosini, E., primary, Randich, S., additional, de Laverny, P., additional, Biazzo, K., additional, Feuillet, D. K., additional, Frasca, A., additional, Lind, K., additional, Prisinzano, L., additional, Tautvaišiene, G., additional, Lanzafame, A. C., additional, Smiljanic, R., additional, Gonneau, A., additional, Magrini, L., additional, Pancino, E., additional, Guiglion, G., additional, Sacco, G. G., additional, Sanna, N., additional, Gilmore, G., additional, Bonifacio, P., additional, Jeffries, R. D., additional, Micela, G., additional, Prusti, T., additional, Alfaro, E. J., additional, Bensby, T., additional, Bragaglia, A., additional, François, P., additional, Korn, A. J., additional, Van Eck, S., additional, Bayo, A., additional, Bergemann, M., additional, Carraro, G., additional, Heiter, U., additional, Hourihane, A., additional, Jofré, P., additional, Lewis, J., additional, Martayan, C., additional, Monaco, L., additional, Morbidelli, L., additional, Worley, C. C., additional, and Zaggia, S., additional

Published
2022
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9. The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy

Author

Randich, S., primary, Gilmore, G., additional, Magrini, L., additional, Sacco, G. G., additional, Jackson, R. J., additional, Jeffries, R. D., additional, Worley, C. C., additional, Hourihane, A., additional, Gonneau, A., additional, Viscasillas Vazquez, C., additional, Franciosini, E., additional, Lewis, J. R., additional, Alfaro, E. J., additional, Allende Prieto, C., additional, Bensby, T., additional, Blomme, R., additional, Bragaglia, A., additional, Flaccomio, E., additional, François, P., additional, Irwin, M. J., additional, Koposov, S. E., additional, Korn, A. J., additional, Lanzafame, A. C., additional, Pancino, E., additional, Recio-Blanco, A., additional, Smiljanic, R., additional, Van Eck, S., additional, Zwitter, T., additional, Asplund, M., additional, Bonifacio, P., additional, Feltzing, S., additional, Binney, J., additional, Drew, J., additional, Ferguson, A. M. N., additional, Micela, G., additional, Negueruela, I., additional, Prusti, T., additional, Rix, H.-W., additional, Vallenari, A., additional, Bayo, A., additional, Bergemann, M., additional, Biazzo, K., additional, Carraro, G., additional, Casey, A. R., additional, Damiani, F., additional, Frasca, A., additional, Heiter, U., additional, Hill, V., additional, Jofré, P., additional, de Laverny, P., additional, Lind, K., additional, Marconi, G., additional, Martayan, C., additional, Masseron, T., additional, Monaco, L., additional, Morbidelli, L., additional, Prisinzano, L., additional, Sbordone, L., additional, Sousa, S. G., additional, Zaggia, S., additional, Adibekyan, V., additional, Bonito, R., additional, Caffau, E., additional, Daflon, S., additional, Feuillet, D. K., additional, Gebran, M., additional, Gonzalez Hernandez, J. I., additional, Guiglion, G., additional, Herrero, A., additional, Lobel, A., additional, Maiz Apellaniz, J., additional, Merle, T., additional, Mikolaitis, Š., additional, Montes, D., additional, Morel, T., additional, Soubiran, C., additional, Spina, L., additional, Tabernero, H. M., additional, Tautvaišiene, G., additional, Traven, G., additional, Valentini, M., additional, Van der Swaelmen, M., additional, Villanova, S., additional, Wright, N. J., additional, Abbas, U., additional, Aguirre Børsen-Koch, V., additional, Alves, J., additional, Balaguer-Nunez, L., additional, Barklem, P. S., additional, Barrado, D., additional, Berlanas, S. R., additional, Binks, A. S., additional, Bressan, A., additional, Capuzzo-Dolcetta, R., additional, Casagrande, L., additional, Casamiquela, L., additional, Collins, R. S., additional, D'Orazi, V., additional, Dantas, M. L. L., additional, Debattista, V. P., additional, Delgado-Mena, E., additional, Di Marcantonio, P., additional, Drazdauskas, A., additional, Evans, N. W., additional, Famaey, B., additional, Franchini, M., additional, Frémat, Y., additional, Friel, E. D., additional, Fu, X., additional, Geisler, D., additional, Gerhard, O., additional, Gonzalez Solares, E. A., additional, Grebel, E. K., additional, Gutierrez Albarran, M. L., additional, Hatzidimitriou, D., additional, Held, E. V., additional, Jiménez-Esteban, F., additional, Jönsson, H., additional, Jordi, C., additional, Khachaturyants, T., additional, Kordopatis, G., additional, Kos, J., additional, Lagarde, N., additional, Mahy, L., additional, Mapelli, M., additional, Marfil, E., additional, Martell, S. L., additional, Messina, S., additional, Miglio, A., additional, Minchev, I., additional, Moitinho, A., additional, Montalban, J., additional, Monteiro, M. J. P. F. G., additional, Morossi, C., additional, Mowlavi, N., additional, Mucciarelli, A., additional, Murphy, D. N. A., additional, Nardetto, N., additional, Ortolani, S., additional, Paletou, F., additional, Palouš, J., additional, Paunzen, E., additional, Pickering, J. C., additional, Quirrenbach, A., additional, Re Fiorentin, P., additional, Read, J. I., additional, Romano, D., additional, Ryde, N., additional, Sanna, N., additional, Santos, W., additional, Seabroke, G. M., additional, Spagna, A., additional, Steinmetz, M., additional, Stonkuté, E., additional, Sutorius, E., additional, Thévenin, F., additional, Tosi, M., additional, Tsantaki, M., additional, Vink, J. S., additional, Wright, N., additional, Wyse, R. F. G., additional, Zoccali, M., additional, Zorec, J., additional, Zucker, D. B., additional, and Walton, N. A., additional

Published
2022
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10. The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

Author

Gilmore, G., primary, Randich, S., additional, Worley, C. C., additional, Hourihane, A., additional, Gonneau, A., additional, Sacco, G. G., additional, Lewis, J. R., additional, Magrini, L., additional, François, P., additional, Jeffries, R. D., additional, Koposov, S. E., additional, Bragaglia, A., additional, Alfaro, E. J., additional, Allende Prieto, C., additional, Blomme, R., additional, Korn, A. J., additional, Lanzafame, A. C., additional, Pancino, E., additional, Recio-Blanco, A., additional, Smiljanic, R., additional, Van Eck, S., additional, Zwitter, T., additional, Bensby, T., additional, Flaccomio, E., additional, Irwin, M. J., additional, Franciosini, E., additional, Morbidelli, L., additional, Damiani, F., additional, Bonito, R., additional, Friel, E. D., additional, Vink, J. S., additional, Prisinzano, L., additional, Abbas, U., additional, Hatzidimitriou, D., additional, Held, E. V., additional, Jordi, C., additional, Paunzen, E., additional, Spagna, A., additional, Jackson, R. J., additional, Maíz Apellániz, J., additional, Asplund, M., additional, Bonifacio, P., additional, Feltzing, S., additional, Binney, J., additional, Drew, J., additional, Ferguson, A. M. N., additional, Micela, G., additional, Negueruela, I., additional, Prusti, T., additional, Rix, H.-W., additional, Vallenari, A., additional, Bergemann, M., additional, Casey, A. R., additional, de Laverny, P., additional, Frasca, A., additional, Hill, V., additional, Lind, K., additional, Sbordone, L., additional, Sousa, S. G., additional, Adibekyan, V., additional, Caffau, E., additional, Daflon, S., additional, Feuillet, D. K., additional, Gebran, M., additional, Gonzalez Hernandez, J. I., additional, Guiglion, G., additional, Herrero, A., additional, Lobel, A., additional, Merle, T., additional, Mikolaitis, Š., additional, Montes, D., additional, Morel, T., additional, Ruchti, G., additional, Soubiran, C., additional, Tabernero, H. M., additional, Tautvaišienė, G., additional, Traven, G., additional, Valentini, M., additional, Van der Swaelmen, M., additional, Villanova, S., additional, Viscasillas Vázquez, C., additional, Bayo, A., additional, Biazzo, K., additional, Carraro, G., additional, Edvardsson, B., additional, Heiter, U., additional, Jofré, P., additional, Marconi, G., additional, Martayan, C., additional, Masseron, T., additional, Monaco, L., additional, Walton, N. A., additional, Zaggia, S., additional, Aguirre Børsen-Koch, V., additional, Alves, J., additional, Balaguer-Nunez, L., additional, Barklem, P. S., additional, Barrado, D., additional, Bellazzini, M., additional, Berlanas, S. R., additional, Binks, A. S., additional, Bressan, A., additional, Capuzzo-Dolcetta, R., additional, Casagrande, L., additional, Casamiquela, L., additional, Collins, R. S., additional, D'Orazi, V., additional, Dantas, M. L. L., additional, Debattista, V. P., additional, Delgado-Mena, E., additional, Di Marcantonio, P., additional, Drazdauskas, A., additional, Evans, N. W., additional, Famaey, B., additional, Franchini, M., additional, Frémat, Y., additional, Fu, X., additional, Geisler, D., additional, Gerhard, O., additional, González Solares, E. A., additional, Grebel, E. K., additional, Gutiérrez Albarrán, M. L., additional, Jiménez-Esteban, F., additional, Jönsson, H., additional, Khachaturyants, T., additional, Kordopatis, G., additional, Kos, J., additional, Lagarde, N., additional, Ludwig, H.-G., additional, Mahy, L., additional, Mapelli, M., additional, Marfil, E., additional, Martell, S. L., additional, Messina, S., additional, Miglio, A., additional, Minchev, I., additional, Moitinho, A., additional, Montalban, J., additional, Monteiro, M. J. P. F. G., additional, Morossi, C., additional, Mowlavi, N., additional, Mucciarelli, A., additional, Murphy, D. N. A., additional, Nardetto, N., additional, Ortolani, S., additional, Paletou, F., additional, Palouš, J., additional, Pickering, J. C., additional, Quirrenbach, A., additional, Re Fiorentin, P., additional, Read, J. I., additional, Romano, D., additional, Ryde, N., additional, Sanna, N., additional, Santos, W., additional, Seabroke, G. M., additional, Spina, L., additional, Steinmetz, M., additional, Stonkuté, E., additional, Sutorius, E., additional, Thévenin, F., additional, Tosi, M., additional, Tsantaki, M., additional, Wright, N., additional, Wyse, R. F. G., additional, Zoccali, M., additional, Zorec, J., additional, and Zucker, D. B., additional

Published
2022
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11. The Gaia-ESO Public Spectroscopic Survey : Motivation, implementation, GIRAFFE data processing, analysis, and final data products star

Author

Gilmore, G., Randich, S., Worley, C. C., Hourihane, A., Gonneau, A., Sacco, G. G., Lewis, J. R., Magrini, L., Francois, P., Jeffries, R. D., Koposov, S. E., Bragaglia, A., Alfaro, E. J., Allende Prieto, C., Blomme, R., Korn, Andreas J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bensby, T., Flaccomio, E., Irwin, M. J., Franciosini, E., Morbidelli, L., Damiani, F., Bonito, R., Friel, E. D., Vink, J. S., Prisinzano, L., Abbas, U., Hatzidimitriou, D., Held, E. , V, Jordi, C., Paunzen, E., Spagna, A., Jackson, R. J., Maiz Apellaniz, J., Asplund, M., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, I, Prusti, T., Rix, H-W, Vallenari, A., Bergemann, M., Casey, A. R., de Laverny, P., Frasca, A., Hill, V, Lind, K., Sbordone, L., Sousa, S. G., Adibekyan, V, Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Gonzalez Hernandez, J. , I, Guiglion, G., Herrero, A., Lobel, A., Montes, D., Morel, T., Ruchti, G., Soubiran, C., Tabernero, H. M., Tautvaisiene, G., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Vazquez, C. Viscasillas, Bayo, A., Biazzo, K., Carraro, G., Edvardsson, Bengt, Heiter, Ulrike, Jofre, P., Marconi, G., Martayan, C., Masseron, T., Monaco, L., Walton, N. A., Zaggia, S., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, Paul S., Barrado, D., Bellazzini, M., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, V, Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Gutierrez Albarran, M. L., Jimenez-Esteban, F., Jonsson, H., Khachaturyants, T., Kordopatis, G., Kos, J., Lagarde, N., Ludwig, H-G, Mahy, L., Mapelli, M., Marfil, E., Martell, S. L., Messina, S., Miglio, A., Minchev, I, Moitinho, A., Montalban, J., Monteiro, M. J. P. F. G., Morossi, C., Mowlavi, N., Mucciarelli, A., Murphy, D. N. A., Nardetto, N., Ortolani, S., Paletou, F., Palous, J., Pickering, J. C., Quirrenbach, A., Fiorentin, P. Re, Read, J. I., Romano, D., Ryde, N., Sanna, N., Santos, W., Seabroke, G. M., Spina, L., Steinmetz, M., Stonkute, E., Sutorius, E., Thevenin, F., Tosi, M., Tsantaki, M., Wright, N., Wyse, R. F. G., Zoccali, M., Zorec, J., Zucker, D. B., Gilmore, G., Randich, S., Worley, C. C., Hourihane, A., Gonneau, A., Sacco, G. G., Lewis, J. R., Magrini, L., Francois, P., Jeffries, R. D., Koposov, S. E., Bragaglia, A., Alfaro, E. J., Allende Prieto, C., Blomme, R., Korn, Andreas J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bensby, T., Flaccomio, E., Irwin, M. J., Franciosini, E., Morbidelli, L., Damiani, F., Bonito, R., Friel, E. D., Vink, J. S., Prisinzano, L., Abbas, U., Hatzidimitriou, D., Held, E. , V, Jordi, C., Paunzen, E., Spagna, A., Jackson, R. J., Maiz Apellaniz, J., Asplund, M., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, I, Prusti, T., Rix, H-W, Vallenari, A., Bergemann, M., Casey, A. R., de Laverny, P., Frasca, A., Hill, V, Lind, K., Sbordone, L., Sousa, S. G., Adibekyan, V, Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Gonzalez Hernandez, J. , I, Guiglion, G., Herrero, A., Lobel, A., Montes, D., Morel, T., Ruchti, G., Soubiran, C., Tabernero, H. M., Tautvaisiene, G., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Vazquez, C. Viscasillas, Bayo, A., Biazzo, K., Carraro, G., Edvardsson, Bengt, Heiter, Ulrike, Jofre, P., Marconi, G., Martayan, C., Masseron, T., Monaco, L., Walton, N. A., Zaggia, S., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, Paul S., Barrado, D., Bellazzini, M., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, V, Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Gutierrez Albarran, M. L., Jimenez-Esteban, F., Jonsson, H., Khachaturyants, T., Kordopatis, G., Kos, J., Lagarde, N., Ludwig, H-G, Mahy, L., Mapelli, M., Marfil, E., Martell, S. L., Messina, S., Miglio, A., Minchev, I, Moitinho, A., Montalban, J., Monteiro, M. J. P. F. G., Morossi, C., Mowlavi, N., Mucciarelli, A., Murphy, D. N. A., Nardetto, N., Ortolani, S., Paletou, F., Palous, J., Pickering, J. C., Quirrenbach, A., Fiorentin, P. Re, Read, J. I., Romano, D., Ryde, N., Sanna, N., Santos, W., Seabroke, G. M., Spina, L., Steinmetz, M., Stonkute, E., Sutorius, E., Thevenin, F., Tosi, M., Tsantaki, M., Wright, N., Wyse, R. F. G., Zoccali, M., Zorec, J., and Zucker, D. B.

Abstract

Context. The Gaia-ESO Public Spectroscopic Survey is an ambitious project designed to obtain astrophysical parameters and elemental abundances for 100 000 stars, including large representative samples of the stellar populations in the Galaxy, and a well-defined sample of 60 (plus 20 archive) open clusters. We provide internally consistent results calibrated on benchmark stars and star clusters, extending across a very wide range of abundances and ages. This provides a legacy data set of intrinsic value, and equally a large wide-ranging dataset that is of value for the homogenisation of other and future stellar surveys and Gaia's astrophysical parameters. Aims. This article provides an overview of the survey methodology, the scientific aims, and the implementation, including a description of the data processing for the GIRAFFE spectra. A companion paper introduces the survey results. Methods. Gaia-ESO aspires to quantify both random and systematic contributions to measurement uncertainties. Thus, all available spectroscopic analysis techniques are utilised, each spectrum being analysed by up to several different analysis pipelines, with considerable effort being made to homogenise and calibrate the resulting parameters. We describe here the sequence of activities up to delivery of processed data products to the ESO Science Archive Facility for open use. Results. The Gaia-ESO Survey obtained 202 000 spectra of 115 000 stars using 340 allocated VLT nights between December 2011 and January 2018 from GIRAFFE and UVES. Conclusions. The full consistently reduced final data set of spectra was released through the ESO Science Archive Facility in late 2020, with the full astrophysical parameters sets following in 2022. A companion article reviews the survey implementation, scientific highlights, the open cluster survey, and data products.

Published
2022
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12. The Gaia-ESO Survey: Lithium measurements and new curves of growth

Author

Ministerio de Ciencia e Innovación (España), European Commission, European Research Council, Franciosini, E., Randich, S., de Laverny, P., Biazzo, K., Feuillet, D. K., Frasca, A., Lind, K., Prisinzano, L., Tautvaišiene, G., Lanzafame, A. C., Smiljanic, R., Gonneau, A., Magrini, L., Pancino, E., Guiglion, Guillaume, Sacco, G. G., Sanna, N., Gilmore, Gerry, Bonifacio, P., Jeffries, R. D., Micela, Giusi, Prusti, T., Alfaro, Emilio J., Bensby, T., Bragaglia, A., François, P., Korn, A. J., Van Eck, S., Bayo, A., Bergemann, Maria, Carraro, G., Heiter, Ulrike, Hourihane, A., Jofré, P., Lewis, J., Martayan, C., Monaco, L., Morbidelli, L., Worley, C. C., Zaggia, S., Ministerio de Ciencia e Innovación (España), European Commission, European Research Council, Franciosini, E., Randich, S., de Laverny, P., Biazzo, K., Feuillet, D. K., Frasca, A., Lind, K., Prisinzano, L., Tautvaišiene, G., Lanzafame, A. C., Smiljanic, R., Gonneau, A., Magrini, L., Pancino, E., Guiglion, Guillaume, Sacco, G. G., Sanna, N., Gilmore, Gerry, Bonifacio, P., Jeffries, R. D., Micela, Giusi, Prusti, T., Alfaro, Emilio J., Bensby, T., Bragaglia, A., François, P., Korn, A. J., Van Eck, S., Bayo, A., Bergemann, Maria, Carraro, G., Heiter, Ulrike, Hourihane, A., Jofré, P., Lewis, J., Martayan, C., Monaco, L., Morbidelli, L., Worley, C. C., and Zaggia, S.

Abstract

Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey that was carried out using the multi-object FLAMES spectrograph at the Very Large Telescope. The survey provides accurate radial velocities, stellar parameters, and elemental abundances for ~115 000 stars in all Milky Way components. Aims. In this paper, we describe the method adopted in the final data release to derive lithium equivalent widths (EWs) and abundances. Methods. Lithium EWs were measured using two different approaches for FGK and M-type stars, to account for the intrinsic differences in the spectra. For FGK stars, we fitted the lithium line using Gaussian components, while direct integration over a predefined interval was adopted for M-type stars. Care was taken to ensure continuity between the two regimes. Abundances were derived using a new set of homogeneous curves of growth that were derived specifically for GES, and which were measured on a synthetic spectral grid consistently with the way the EWs were measured. The derived abundances were validated by comparison with those measured by other analysis groups using different methods. Results. Lithium EWs were measured for ~40 000 stars, and abundances could be derived for ~38 000 of them. The vast majority of the measures (80%) have been obtained for stars in open cluster fields. The remaining objects are stars in globular clusters, or field stars in the Milky Way disc, bulge, and halo. Conclusions. The GES dataset of homogeneous lithium abundances described here will be valuable for our understanding of several processes, from stellar evolution and internal mixing in stars at different evolutionary stages to Galactic evolution. © E. Franciosini et al. 2022.

Published
2022

13. The Gaia-ESO Survey:Lithium measurements and new curves of growth

Author

Franciosini, E., Randich, S., de Laverny, P., Biazzo, K., Feuillet, D. K., Frasca, A., Lind, K., Prisinzano, L., Tautvaisiene, G., Lanzafame, A. C., Smiljanic, R., Gonneau, A., Magrini, L., Pancino, E., Guiglion, G., Sacco, G. G., Sanna, N., Gilmore, G., Bonifacio, P., Jeffries, R. D., Micela, G., Prusti, T., Alfaro, E. J., Bensby, T., Bragaglia, A., Francois, P., Korn, A. J., Van Eck, S., Bayo, A., Bergemann, M., Carraro, G., Heiter, U., Hourihane, A., Jofre, P., Lewis, J., Martayan, C., Monaco, L., Morbidelli, L., Worley, C. C., Zaggia, S., Franciosini, E., Randich, S., de Laverny, P., Biazzo, K., Feuillet, D. K., Frasca, A., Lind, K., Prisinzano, L., Tautvaisiene, G., Lanzafame, A. C., Smiljanic, R., Gonneau, A., Magrini, L., Pancino, E., Guiglion, G., Sacco, G. G., Sanna, N., Gilmore, G., Bonifacio, P., Jeffries, R. D., Micela, G., Prusti, T., Alfaro, E. J., Bensby, T., Bragaglia, A., Francois, P., Korn, A. J., Van Eck, S., Bayo, A., Bergemann, M., Carraro, G., Heiter, U., Hourihane, A., Jofre, P., Lewis, J., Martayan, C., Monaco, L., Morbidelli, L., Worley, C. C., and Zaggia, S.

Abstract

Context. The Gaia-ESO Survey (GES) is a large public spectroscopic survey that was carried out using the multi-object FLAMES spectrograph at the Very Large Telescope. The survey provides accurate radial velocities, stellar parameters, and elemental abundances for similar to 115 000 stars in all Milky Way components. Aims. In this paper, we describe the method adopted in the final data release to derive lithium equivalent widths (EWs) and abundances. Methods. Lithium EWs were measured using two different approaches for FGK and M-type stars, to account for the intrinsic differences in the spectra. For FGK stars, we fitted the lithium line using Gaussian components, while direct integration over a predefined interval was adopted for M-type stars. Care was taken to ensure continuity between the two regimes. Abundances were derived using a new set of homogeneous curves of growth that were derived specifically for GES, and which were measured on a synthetic spectral grid consistently with the way the EWs were measured. The derived abundances were validated by comparison with those measured by other analysis groups using different methods. Results. Lithium EWs were measured for similar to 40 000 stars, and abundances could be derived for similar to 38 000 of them. The vast majority of the measures (80%) have been obtained for stars in open cluster fields. The remaining objects are stars in globular clusters, or field stars in the Milky Way disc, bulge, and halo. Conclusions. The GES dataset of homogeneous lithium abundances described here will be valuable for our understanding of several processes, from stellar evolution and internal mixing in stars at different evolutionary stages to Galactic evolution.

Published
2022

14. The Gaia-ESO Public Spectroscopic Survey:Implementation, data products, open cluster survey, science, and legacy

Author

Randich, S., Magrini, L., Sacco, G. G., Gonneau, A., Vazquez, C. Viscasillas, Lewis, J. R., Alfaro, E. J., Bensby, T., Bragaglia, A., Flaccomio, E., Koposov, S. E., Lanzafame, A. C., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, Prusti, T., Vallenari, A., Bayo, A., Bergemann, M., Frasca, A., Heiter, U., Hill, Ross, Jofre, P., Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Gonzalez Hernandez, J., Guiglion, G., Herrero, A., Lobel, A., Maiz Apellaniz, J., Montes, D., Morel, T., Soubiran, C., Spina, L., Tabernero, H. M., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Wright, N. J., Abbas, U., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, P. S., Barrado, D., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, Gabriella, Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Friel, E. D., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Gutierrez Albarran, M. L., Hatzidimitriou, D., Held, E., Jimenez-Esteban, F., Jonsson, H., Jordi, C., Khachaturyants, T., Kordopatis, G., Kos, J., Mowlavi, N., Murphy, D. N. A., Nardetto, N., Fiorentin, P. Re, Read, J., Romano, D., Ryde, N., Sanna, N., Seabroke, G. M., Spagna, A., Steinmetz, M., Vink, J. S., Wright, N., Wyse, R. F. G., Walton, N. A., Randich, S., Magrini, L., Sacco, G. G., Gonneau, A., Vazquez, C. Viscasillas, Lewis, J. R., Alfaro, E. J., Bensby, T., Bragaglia, A., Flaccomio, E., Koposov, S. E., Lanzafame, A. C., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, Prusti, T., Vallenari, A., Bayo, A., Bergemann, M., Frasca, A., Heiter, U., Hill, Ross, Jofre, P., Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Gonzalez Hernandez, J., Guiglion, G., Herrero, A., Lobel, A., Maiz Apellaniz, J., Montes, D., Morel, T., Soubiran, C., Spina, L., Tabernero, H. M., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Wright, N. J., Abbas, U., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, P. S., Barrado, D., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, Gabriella, Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Friel, E. D., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Gutierrez Albarran, M. L., Hatzidimitriou, D., Held, E., Jimenez-Esteban, F., Jonsson, H., Jordi, C., Khachaturyants, T., Kordopatis, G., Kos, J., Mowlavi, N., Murphy, D. N. A., Nardetto, N., Fiorentin, P. Re, Read, J., Romano, D., Ryde, N., Sanna, N., Seabroke, G. M., Spagna, A., Steinmetz, M., Vink, J. S., Wright, N., Wyse, R. F. G., and Walton, N. A.

Abstract

Context. In the last 15 years different ground-based spectroscopic surveys have been started (and completed) with the general aim of delivering stellar parameters and elemental abundances for large samples of Galactic stars, complementing Gaia astrometry. Among those surveys, the Gaia-ESO Public Spectroscopic Survey, the only one performed on a 8m class telescope, was designed to target 100 000 stars using FLAMES on the ESO VLT (both Giraffe and UVES spectrographs), covering all the Milky Way populations, with a special focus on open star clusters.Aims. This article provides an overview of the survey implementation (observations, data quality, analysis and its success, data products, and releases), of the open cluster survey, of the science results and potential, and of the survey legacy. A companion article reviews the overall survey motivation, strategy, Giraffe pipeline data reduction, organisation, and workflow.Methods. We made use of the information recorded and archived in the observing blocks; during the observing runs; in a number of relevant documents; in the spectra and master catalogue of spectra; in the parameters delivered by the analysis nodes and the working groups; in the final catalogue; and in the science papers. Based on these sources, we critically analyse and discuss the output and products of the Survey, including science highlights. We also determined the average metallicities of the open clusters observed as science targets and of a sample of clusters whose spectra were retrieved from the ESO archive.Results. The Gaia-ESO Survey has determined homogeneous good-quality radial velocities and stellar parameters for a large fraction of its more than 110 000 unique target stars. Elemental abundances were derived for up to 31 elements for targets observed with UVES. Lithium abundances are delivered for about 1/3 of the sample. The analysis and homogenisation strategies have proven to be successful; several science topics hav

Published
2022

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