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Published February 20, 2022 | Submitted + Published
Journal Article Open

Reconstructing the Pleiades with Gaia EDR3

Abstract

We search through an eight million cubic parsec volume surrounding the Pleiades star cluster and the Sun to identify both the current and past members of the Pleiades cluster within the Gaia EDR3 data set. We find nearly 1300 current cluster members and 289 former cluster candidates. Many of these candidates lie well in front of or behind the cluster from our point of view, so formerly they were considered cluster members, but their parallaxes put them more than 10 pc from the center of the cluster today. Over the past 100 Myr we estimate that the cluster has lost twenty percent of its mass including two massive white dwarf stars and the α² Canum Venaticorum type variable star, 41 Tau. All three white dwarfs associated with the cluster are massive (1.01–1.06 M_⊙) and have progenitors with main-sequence masses of about six solar masses. Although we did not associate any giant stars with the cluster, the cooling time of the oldest white dwarf of 60 Myr gives a firm lower limit on the age of the cluster.

Additional Information

© 2022. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2021 October 18; revised 2021 November 25; accepted 2021 December 14; published 2022 February 18. This work was supported in part by NSERC Canada and Compute Canada. This research has made use of the SIMBAD and Vizier databases, operated at CDS, Strasbourg, France and the Montreal White Dwarf Database produced and maintained by Prof. Patrick Dufour (Université de Montrèal) and Dr. Simon Blouin (LANL), This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. Data Availability. The data used in this study were obtained from the ESA Gaia Archive using the commands outlined in the Appendix and processed using TOPCAT. The resulting catalogs and derived quantities are included in the Appendix.

Attached Files

Published - Heyl_2022_ApJ_926_132.pdf

Submitted - 2110.03837.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023