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

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

doi:10.1051/0004-6361/202243134

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

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

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

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.

Original language	English
Article number	A120
Pages (from-to)	1-36
Number of pages	36
Journal	Astronomy and Astrophysics
Volume	666
DOIs	https://doi.org/10.1051/0004-6361/202243134
Publication status	Published - 18 Oct 2022

Keywords / Materials (for Non-textual outputs)

astro-ph.SR
astro-ph.EP
astro-ph.GA
astro-ph.IM

Access to Document

10.1051/0004-6361/202243134Licence: Creative Commons: Attribution (CC-BY)

2208.05432v1Accepted author manuscript, 3.47 MBLicence: Creative Commons: Attribution (CC-BY)
aa43134-22Final published version, 3.72 MBLicence: Creative Commons: Attribution (CC-BY)

https://arxiv.org/abs/2208.05432#Licence: Creative Commons: Attribution (CC-BY)

Cite this

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. A., Blomme, R., Korn, A. J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., ... Zucker, D. B. (2022). The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products. Astronomy and Astrophysics, 666, 1-36. Article A120. https://doi.org/10.1051/0004-6361/202243134

@article{a56714a34b9d4108a8de9eacd70d86b1,

title = "The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products",

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.",

keywords = "astro-ph.SR, astro-ph.EP, astro-ph.GA, astro-ph.IM",

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

note = "38 pages. A&A in press",

year = "2022",

month = oct,

day = "18",

doi = "10.1051/0004-6361/202243134",

language = "English",

volume = "666",

pages = "1--36",

journal = "Astronomy and Astrophysics",

issn = "0004-6361",

publisher = "EDP Sciences",

}

Gilmore, G, Randich, S, Worley, CC, Hourihane, A, Gonneau, A, Sacco, GG, Lewis, JR, Magrini, L, Francois, P, Jeffries, RD, Koposov, SE, Bragaglia, A, Alfaro, EJ, Prieto, CA, Blomme, R, Korn, AJ, Lanzafame, AC, Pancino, E, Recio-Blanco, A, Smiljanic, R, Eck, SV, Zwitter, T, Bensby, T, Flaccomio, E, Irwin, MJ, Franciosini, E, Morbidelli, L, Damiani, F, Bonito, R, Friel, ED, Vink, JS, Prisinzano, L, Abbas, U, Hatzidimitriou, D, Held, EV, Jordi, C, Paunzen, E, Spagna, A, Jackson, RJ, Apellaniz, JM, Asplund, M, Bonifacio, P, Feltzing, S, Binney, J, Drew, J, Ferguson, AMN, Micela, G, Negueruela, I, Prusti, T, Rix, H-W, Vallenari, A, Bergemann, M, Casey, AR, Laverny, PD, Frasca, A, Hill, V, Lind, K, Sbordone, L, Sousa, SG, Adibekyan, V, Caffau, E, Daflon, S, Feuillet, DK, Gebran, M, Hernandez, JIG, Guiglion, G, Herrero, A, Lobel, A, Merle, T, Mikolaitis, S, Montes, D, Morel, T, Ruchti, G, Soubiran, C, Tabernero, HM, Tautvaisiene, G, Traven, G, Valentini, M, Swaelmen, MVD, Villanova, S, Vazquez, CV, Bayo, A, Biazzo, K, Carraro, G, Edvardsson, B, Heiter, U, Jofre, P, Marconi, G, Martayan, C, Masseron, T, Monaco, L, Walton, NA, Zaggia, S, Borsen-Koch, VA, Alves, J, Balaguer-Nunez, L, Barklem, PS, Barrado, D, Bellazzini, M, Berlanas, SR, Binks, AS, Bressan, A, Capuzzo-Dolcetta, R, Casagrande, L, Casamiquela, L, Collins, RS, D'Orazi, V, Dantas, MLL, Debattista, VP, Delgado-Mena, E, Marcantonio, PD, Drazdauskas, A, Evans, NW, Famaey, B, Franchini, M, Fremat, Y, Fu, X, Geisler, D, Gerhard, O, Solares, EAG, Grebel, EK, Albarran, MLG, Jimenez-Esteban, F, Jonsson, H, Khachaturyants, T, Kordopatis, G, Kos, J, Lagarde, N, Ludwig, H-G, Mahy, L, Mapelli, M, Marfil, E, Martell, SL, Messina, S, Miglio, A, Minchev, I, Moitinho, A, Montalban, J, Monteiro, MJPFG, Morossi, C, Mowlavi, N, Mucciarelli, A, Murphy, DNA, Nardetto, N, Ortolani, S, Paletou, F, Palous, J, Pickering, JC, Quirrenbach, A, Fiorentin, PR, Read, JI, Romano, D, Ryde, N, Sanna, N, Santos, W, Seabroke, GM, Spina, L, Steinmetz, M, Stonkute, E, Sutorius, E, Thevenin, F, Tosi, M, Tsantaki, M, Wright, N, Wyse, RFG, Zoccali, M, Zorec, J & Zucker, DB 2022, 'The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products', Astronomy and Astrophysics, vol. 666, A120, pp. 1-36. https://doi.org/10.1051/0004-6361/202243134

TY - JOUR

T1 - The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

AU - Gilmore, G.

AU - Randich, S.

AU - Worley, C. C.

AU - Hourihane, A.

AU - Gonneau, A.

AU - Sacco, G. G.

AU - Lewis, J. R.

AU - Magrini, L.

AU - Francois, P.

AU - Jeffries, R. D.

AU - Koposov, S. E.

AU - Bragaglia, A.

AU - Alfaro, E. J.

AU - Prieto, C. Allende

AU - Blomme, R.

AU - Korn, A. J.

AU - Lanzafame, A. C.

AU - Pancino, E.

AU - Recio-Blanco, A.

AU - Smiljanic, R.

AU - Eck, S. Van

AU - Zwitter, T.

AU - Bensby, T.

AU - Flaccomio, E.

AU - Irwin, M. J.

AU - Franciosini, E.

AU - Morbidelli, L.

AU - Damiani, F.

AU - Bonito, R.

AU - Friel, E. D.

AU - Vink, J. S.

AU - Prisinzano, L.

AU - Abbas, U.

AU - Hatzidimitriou, D.

AU - Held, E. V.

AU - Jordi, C.

AU - Paunzen, E.

AU - Spagna, A.

AU - Jackson, R. J.

AU - Apellaniz, J. Maiz

AU - Asplund, M.

AU - Bonifacio, P.

AU - Feltzing, S.

AU - Binney, J.

AU - Drew, J.

AU - Ferguson, A. M. N.

AU - Micela, G.

AU - Negueruela, I.

AU - Prusti, T.

AU - Rix, H. -W.

AU - Vallenari, A.

AU - Bergemann, M.

AU - Casey, A. R.

AU - Laverny, P. de

AU - Frasca, A.

AU - Hill, V.

AU - Lind, K.

AU - Sbordone, L.

AU - Sousa, S. G.

AU - Adibekyan, V.

AU - Caffau, E.

AU - Daflon, S.

AU - Feuillet, D. K.

AU - Gebran, M.

AU - Hernandez, J. I. Gonzalez

AU - Guiglion, G.

AU - Herrero, A.

AU - Lobel, A.

AU - Merle, T.

AU - Mikolaitis, S.

AU - Montes, D.

AU - Morel, T.

AU - Ruchti, G.

AU - Soubiran, C.

AU - Tabernero, H. M.

AU - Tautvaisiene, G.

AU - Traven, G.

AU - Valentini, M.

AU - Swaelmen, M. Van der

AU - Villanova, S.

AU - Vazquez, C. Viscasillas

AU - Bayo, A.

AU - Biazzo, K.

AU - Carraro, G.

AU - Edvardsson, B.

AU - Heiter, U.

AU - Jofre, P.

AU - Marconi, G.

AU - Martayan, C.

AU - Masseron, T.

AU - Monaco, L.

AU - Walton, N. A.

AU - Zaggia, S.

AU - Borsen-Koch, V. Aguirre

AU - Alves, J.

AU - Balaguer-Nunez, L.

AU - Barklem, P. S.

AU - Barrado, D.

AU - Bellazzini, M.

AU - Berlanas, S. R.

AU - Binks, A. S.

AU - Bressan, A.

AU - Capuzzo-Dolcetta, R.

AU - Casagrande, L.

AU - Casamiquela, L.

AU - Collins, R. S.

AU - D'Orazi, V.

AU - Dantas, M. L. L.

AU - Debattista, V. P.

AU - Delgado-Mena, E.

AU - Marcantonio, P. Di

AU - Drazdauskas, A.

AU - Evans, N. W.

AU - Famaey, B.

AU - Franchini, M.

AU - Fremat, Y.

AU - Fu, X.

AU - Geisler, D.

AU - Gerhard, O.

AU - Solares, E. A. Gonzalez

AU - Grebel, E. K.

AU - Albarran, M. L. Gutierrez

AU - Jimenez-Esteban, F.

AU - Jonsson, H.

AU - Khachaturyants, T.

AU - Kordopatis, G.

AU - Kos, J.

AU - Lagarde, N.

AU - Ludwig, H. -G.

AU - Mahy, L.

AU - Mapelli, M.

AU - Marfil, E.

AU - Martell, S. L.

AU - Messina, S.

AU - Miglio, A.

AU - Minchev, I.

AU - Moitinho, A.

AU - Montalban, J.

AU - Monteiro, M. J. P. F. G.

AU - Morossi, C.

AU - Mowlavi, N.

AU - Mucciarelli, A.

AU - Murphy, D. N. A.

AU - Nardetto, N.

AU - Ortolani, S.

AU - Paletou, F.

AU - Palous, J.

AU - Pickering, J. C.

AU - Quirrenbach, A.

AU - Fiorentin, P. Re

AU - Read, J. I.

AU - Romano, D.

AU - Ryde, N.

AU - Sanna, N.

AU - Santos, W.

AU - Seabroke, G. M.

AU - Spina, L.

AU - Steinmetz, M.

AU - Stonkute, E.

AU - Sutorius, E.

AU - Thevenin, F.

AU - Tosi, M.

AU - Tsantaki, M.

AU - Wright, N.

AU - Wyse, R. F. G.

AU - Zoccali, M.

AU - Zorec, J.

AU - Zucker, D. B.

N1 - 38 pages. A&A in press

PY - 2022/10/18

Y1 - 2022/10/18

N2 - 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.

AB - 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.

KW - astro-ph.SR

KW - astro-ph.EP

KW - astro-ph.GA

KW - astro-ph.IM

U2 - 10.1051/0004-6361/202243134

DO - 10.1051/0004-6361/202243134

M3 - Article

SN - 0004-6361

VL - 666

SP - 1

EP - 36

JO - Astronomy and Astrophysics

JF - Astronomy and Astrophysics

M1 - A120

ER -

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

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Cite this