| Issue |
A&A
Volume 675, July 2023
|
|
|---|---|---|
| Article Number | A68 | |
| Number of page(s) | 10 | |
| Section | Galactic structure, stellar clusters and populations | |
| DOI | https://doi.org/10.1051/0004-6361/202345952 | |
| Published online | 03 July 2023 | |
A machine-learning-based tool for open cluster membership determination in Gaia DR3⋆
1
Leiden Observatory, Leiden University, Niels Bohrweg 2, 2333 CA Leiden, The Netherlands
e-mail: mvgroeningen@strw.leidenuniv.nl; acastro@strw.leidenuniv.nl
2
GEPI, Observatoire de Paris, PSL Research University, CNRS, Sorbonne Paris Cité, 5 place Jules Janssen, 92190 Meudon, France
3
Departament de Física Quántica i Astrofísica (FQA), Universitat de Barcelona (UB), Martí i Franqués 1, 08028 Barcelona, Spain
4
Institut de Ciéncies del Cosmos (ICCUB), Universitat de Barcelona (UB), Martí i Franqués 1, 08028 Barcelona, Spain
5
Institut d’Estudis Espacials de Catalunya (IEEC), Gran Capità 2-4, 08034 Barcelona, Spain
Received:
19
January
2023
Accepted:
3
May
2023
Context. Membership studies characterising open clusters (OCs) with Gaia data – most of them using Gaia Data Release 2 (DR2) – have so far been limited at the faint end to magnitude G = 18 due to astrometric uncertainties.
Aims. Our goal is to extend current OC membership lists with faint members and to characterise the low-mass end. These low-mass members are important for many applications, in particular for ground-based spectroscopic surveys.
Methods. We use a deep neural network architecture to learn the distribution of highly reliable OC member stars around known clusters. We then use the trained network to estimate new OC members based on their similarities in a high dimensional space, their five-dimensional astrometry, and information from the three photometric bands.
Results. Due to the improved astrometric precision of Gaia Data Release 3 (DR3) with respect to DR2, we are able to homogeneously detect new faint member stars (G > 18) for the known OC population.
Conclusions. Our methodology can provide extended membership lists for OCs down to the limiting magnitude of Gaia, which will enable further studies to characterise the OC population; such as estimation of their masses and dynamics. These extended membership lists are also ideal target lists for forthcoming ground-based spectroscopic surveys.
Key words: methods: data analysis / open clusters and associations: general / catalogs
Membership lists are only available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/675/A68
© The Authors 2023
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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