J/A+A/666/A121ivo://CDS.VizieR/J/A+A/666/A121doi:10.26093/cds/vizier.36660121CDSRandich S.Gilmore G.Magrini L.Sacco G.G.Jackson R.J.Jeffries R.D.,Worley C.CHourihane A.Gonneau A.Viscasillas Vazquez C.,Franciosini E.Lewis J.R.Alfaro E.J.Allende Prieto C.Bensby T.,Blomme R.Bragaglia A.Flaccomio E.Francois 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.Jofre 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.,Gonzalez Hernandez J.I.Guiglion G.Herrero A.Lobel A.,Maiz Apellaniz J.Merle T.Mikolaitis S.Montes D.Morel T.,Soubiran C.Spina L.Tabernero H.M.Tautvaisiene G.Traven G.,Valentini M.Van der Swaelmen M.Villanova S.Wright N.J.Abbas U.,Aguirre Borsen-Koch V.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 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.Friel E.D.Fu X.,Geisler D.Gerhard O.Gonzalez Solares E.A.Grebel E.K.,Gutierrez Albarran M.L.Hatzidimitriou D.Held E.V.Jimenez-Esteban F.,Joensson 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.Palous J.Paunzen E.Pickering J.C.Quirrenbach A.,Re Fiorentin P.Read J.I.Romano D.Ryde N.Sanna N.Santos W.,Seabroke G.M.Spagna A.Steinmetz M.Stonkute E.Sutorius E.,Thevenin F.Tosi M.Tsantaki M.Vink J.S.Wright N.Wyse R.F.G.,Zoccali M.Zorec J.Zucker D.BWalton N.A.2024-03-01T14:09:47Z2022-10-18T08:52:19ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frsurveysopen-star-clustersradial-velocityvisible-astronomyIn the last 15 years different ground-based spectroscopic surveys have been started (and completed) with the general aim to deliver 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 100000 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 aims to provide 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., 2022A&A...666A.120G) reviews the overall Survey motivation, strategy, Giraffe pipeline data reduction, organisation and workflow. We make 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; in the science papers. Based on these, 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. The Gaia-ESO survey has determined homogeneous, good quality radial velocities and stellar parameters for a large fraction of its more than 110000 unique target stars. Elemental abundances were derived for up to 32 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.2022A&A...666A.121Rhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/666/A121CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/666/A121https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/666/A121http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/666/A121https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/666/A121https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/666/A121http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/666/A121GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/666/A121/tableb5 (Radial velocity precision)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/666/A121/tableb5?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/666/A121/tableb5?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/666/A121/tableb5?GETtext/xml+votable180.050000true80.701751.67886110.0055555555555555565/4122 5429 5514 5723 5909 5934 9239 9282 9307 9329 9398 9838 9924 6/4298 4783 6148-6149 14336 16447 16576-16577 20562 20763 21017 21372 21518-21519 21528-21529 21550 21567 21610 22224-22225 22237 22239 22249 22432-22433 22498-22499 22980-22981 23612 23695 23704-23706 23717 23719 23728 23730 23745 24322 24328 24330 24344-24345 28806-28807 28812-28813 28822-28823 28889-28891 29523 30215 30226 30308 30635 31785 31787-31788 31790 31809 31812 32089 33321 33323 33330 33634-33635 33640-33641 36947 36950 36953 36955 37122-37123 37225 37227 37240-37242 37278-37279 37291 37294 37313 37586-37587 37636 37785 37787-37788 37790 37809 37812 37933 37938 37944 38016 38018 38441 39181 39183 39192 39194 39205 39216-39218 39252 39254 39257 39259-39260 39358 39685 41466 41649 41678 41852 42153 42156 42177 42374 42380 42464 42496 42959 42980-42981 42983 42992 43034 47125 47168https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/666/A121?format=asciiOpticaldefaultJ/A+A/666/A121/tableb5Radial velocity precisionrecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintCNameTarget name (HHMMSSss+DDMMSSs)meta.id;meta.maincharClusterCluster namemeta.id.parentcharTprecTeff used to calculate RV precisionKphys.temperature.effectivedoubleResSpectral resolutionspect.resolutiondoubleSNR? Signal-to-noise-ratiostat.snrdoublenullableRVRadial velocitykm/sphys.veloc;pos.heliocentricdoubleVsiniProjected equatorial velocity used to calculate precisionkm/smeta.code.qual;phys.veloc;instr.precisionfloatNstackNumber of stacked exposuresmeta.numberintAPrecision parameter Akm/sstat.errordoubleBPrecision parameter Bkm/sstat.errordoubleCPrecision parameter Ckm/sstat.errordoubleRVprec? Radial velocity precisionkm/sstat.errordoublenullableSimbadSimbad column added by the CDSmeta.ref.urlchar_RAPositions from Cname (right ascension part)degpos.eq.ra;meta.mainindexed_DEPositions from Cname (declination part)degpos.eq.dec;meta.mainindexed