The Gaia-ESO Survey: Membership probabilities for stars in 32 open clusters from 3D kinematics

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dc.contributor.authorJackson, R.J.
dc.contributor.authorJeffries, R.D.
dc.contributor.authorWright, N.J.
dc.contributor.authorRandich, S.
dc.contributor.authorSacco, G.
dc.contributor.authorPancino, E.
dc.contributor.authorCantat-Gaudin, T.
dc.contributor.authorGilmore, G.
dc.contributor.authorVallenari, A.
dc.contributor.authorBensby, T.
dc.contributor.authorBayo, A.
dc.contributor.authorCostado, M.T.
dc.date.accessioned2021-08-27T19:20:40Z
dc.date.available2021-08-27T19:20:40Z
dc.date.issued2020-08
dc.descriptionIndexación; Scopus.es
dc.description.abstractThe Gaia-ESO Survey (GES) observed many open clusters as part of its programme to spectroscopically characterize the various Milky Way populations. GES spectroscopy and Gaia astrometry from its second data release are used here to assign membership probabilities to targets towards 32 open clusters with ages from 1 to 3800 Myr, based on maximum likelihood modelling of the 3D kinematics of the cluster and field populations. From a parent catalogue of 14 398 individual targets, 5032 stars with uniformly determined 3D velocities, Teff, log g, and chemistry are assigned cluster membership with probability >0.9, and with an average probability of 0.991. The robustness of the membership probabilities is demonstrated using independent membership criteria (The Gaia-ESO Survey (GES) observed many open clusters as part of its programme to spectroscopically characterize the various Milky Way populations. GES spectroscopy and Gaia astrometry from its second data release are used here to assign membership probabilities to targets towards 32 open clusters with ages from 1 to 3800 Myr, based on maximum likelihood modelling of the 3D kinematics of the cluster and field populations. From a parent catalogue of 14 398 individual targets, 5032 stars with uniformly determined 3D velocities, Teff, log g, and chemistry are assigned cluster membership with probability >0.9, and with an average probability of 0.991. The robustness of the membership probabilities is demonstrated using independent membership criteria (lithium and parallax) in two of the youngest clusters. The addition of radial velocities improves membership discrimination over proper motion selection alone, especially in more distant clThe Gaia-ESO Survey (GES) observed many open clusters as part of its programme to spectroscopically characterize the various Milky Way populations. GES spectroscopy and Gaia astrometry from its second data release are used here to assign membership probabilities to targets towards 32 open clusters with ages from 1 to 3800 Myr, based on maximum likelihood modelling of the 3D kinematics of the cluster and field populations. From a parent catalogue of 14 398 individual targets, 5032 stars with uniformly determined 3D velocities, Teff, log g, and chemistry are assigned cluster membership with probability >0.9, and with an average probability of 0.991. The robustness of the membership probabilities is demonstrated using independent membership criteria (lithium and parallax) in two of the youngest clusters. The addition of radial velocities improves membership discrimination over proper motion selection alone, especially in more distant clusters. The kinematically selected nature of the membership lists, independent of photometry and chemistry, makes the catalogue a valuable resource for testing stellar evolutionary models and investigating the time evolution of various parameters. © 2020 The Author(s).usters. The kinematically selected nature of the membership lists, independent of photometry and chemistry, makes the catalogue a valuable resource for testing stellar evolutionary models and investigating the time evolution of various parameters. © 2020 The Author(s). and parallax) in two of the youngest clusters. The addition of radial velocities improves membership discrimination over proper motion selection alone, especially in more distant clusters. The kinematically selected nature of the membership lists, independent of photometry and chemistry, makes the catalogue a valuable resource for testing stellar evolutionary models and investigating the time evolution of various parameters. © 2020 The Author(s).es
dc.description.urihttps://academic-oup-com.recursosbiblioteca.unab.cl/mnras/article/496/4/4701/5859956
dc.identifier.citationMonthly Notices of the Royal Astronomical SocietyOpen AccessVolume 496, Issue 4, Pages 4701 - 47161 August 2020es
dc.identifier.doi10.1093/mnras/staa1749
dc.identifier.issn0035-8711
dc.identifier.urihttp://repositorio.unab.cl/xmlui/handle/ria/20033
dc.language.isoenes
dc.publisherOxford University Presses
dc.subjectOpen clusters and associations: generales
dc.subjectStars: evolutiones
dc.subjectStars: pre-main-sequencees
dc.titleThe Gaia-ESO Survey: Membership probabilities for stars in 32 open clusters from 3D kinematicses
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