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

Authors :
L. Morbidelli
R. J. Jackson
R. D. Jeffries
Thomas Bensby
Gerard Gilmore
G. G. Sacco
A. Hourihane
Sofia Randich
M. T. Costado
Nicholas J. Wright
E. Franciosini
Tristan Cantat-Gaudin
Jack Lewis
Anais Gonneau
Antonella Vallenari
Clare Worley
Lorenzo Monaco
Elena Pancino
Amelia Bayo
ITA
European Commission
Ministero dell'Istruzione, dell'Università e della Ricerca
Leverhulme Trust
European Research Council
European Science Foundation
European Space Agency
Gilmore, Gerard [0000-0003-4632-0213]
Worley, Clare [0000-0001-9310-2898]
Apollo - University of Cambridge Repository
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2020

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 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.<br />This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant no. RPG-2012-541. We acknowledge the support from INAF and Ministero dell’ Istruzione, dell’ Università’ e della Ricerca (MIUR) in the form of the grant ‘Premiale VLT 2012’. The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Programme.

Details

Language :
English
ISSN :
13652966
Database :
OpenAIRE
Journal :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.doi.dedup.....0e40d87238b004a77f77e4ba60d134ab