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

Jackson, R. J. ; Jeffries, R. D. ; Wright, N. J. ; Randich, S. ; Sacco, G. ; Pancino, E. ; Cantat-Gaudin, T. ; Gilmore, G. ; Vallenari, A. and Bensby, T. LU orcid , et al. (2020) In Monthly Notices of the Royal Astronomical Society 496(4). p.4701-4716
Abstract

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... (More)

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 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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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Open clusters and associations: general, Stars: evolution, Stars: pre-main-sequence
in
Monthly Notices of the Royal Astronomical Society
volume
496
issue
4
pages
16 pages
publisher
Oxford University Press
external identifiers
  • scopus:85095373086
ISSN
0035-8711
DOI
10.1093/mnras/staa1749
project
Gaia-ESO Survey
language
English
LU publication?
yes
id
dfeaff5a-88f4-4542-a6e3-cbfe715a6df9
date added to LUP
2020-11-17 12:43:51
date last changed
2024-04-03 16:42:36
@article{dfeaff5a-88f4-4542-a6e3-cbfe715a6df9,
  abstract     = {{<p>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 &gt;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. </p>}},
  author       = {{Jackson, R. J. and Jeffries, R. D. and Wright, N. J. and Randich, S. and Sacco, G. and Pancino, E. and Cantat-Gaudin, T. and Gilmore, G. and Vallenari, A. and Bensby, T. and Bayo, A. and Costado, M. T. and Franciosini, E. and Gonneau, A. and Hourihane, A. and Lewis, J. and Monaco, L. and Morbidelli, L. and Worley, C.}},
  issn         = {{0035-8711}},
  keywords     = {{Open clusters and associations: general; Stars: evolution; Stars: pre-main-sequence}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{4701--4716}},
  publisher    = {{Oxford University Press}},
  series       = {{Monthly Notices of the Royal Astronomical Society}},
  title        = {{The Gaia-ESO Survey : Membership probabilities for stars in 32 open clusters from 3D kinematics}},
  url          = {{http://dx.doi.org/10.1093/mnras/staa1749}},
  doi          = {{10.1093/mnras/staa1749}},
  volume       = {{496}},
  year         = {{2020}},
}