4.7 Article

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

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 496, Issue 4, Pages 4701-4716

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa1749

Keywords

stars: evolution; stars: pre-main-sequence; open clusters and associations: general

Funding

  1. Knut and Alice Wallenberg Foundation
  2. ESO Telescopes at the La Silla Paranal Observatory [188.B-3002]
  3. UK Science and Technology Facilities Council
  4. European Union FP7 programme through ERC [320360]
  5. Leverhulme Trust [RPG-2012-541]
  6. INAF
  7. Ministero dell' Istruzione, dell' Universit`a'edellaRicerca (MIUR)
  8. ESF (European Science Foundation) through the GREAT Research Network Programme
  9. STFC [ST/T003081/1, ST/L005174/1, ST/N005805/1, ST/R000638/1] Funding Source: UKRI

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The Gaia-ESO Survey (GES) observed many open clusters as part of its programme to spectroscopically characterize the various MilkyWay 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, T-eff, logg, 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.

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