Published November 2018 | public
Journal Article

Imprints of white dwarf recoil in the separation distribution of Gaia wide binaries

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Abstract

We construct from Gaia DR2 an extensive and very pure (⁠≲ 0.2 per cent contamination) catalogue of wide binaries containing main-sequence (MS) and white dwarf (WD) components within 200 pc of the Sun. The public catalogue contains, after removal of clusters and resolved higher order multiples, > 50 000 MS/MS, > 3000 WD/MS, and nearly 400 WD/WD binaries with projected separations of 50 ≲ s/au < 50000⁠. Accounting for incompleteness and selection effects, we model the separation distribution of each class of binaries as a broken power law, revealing marked differences between the three populations. The separation distribution of MS/MS systems is nearly consistent with a single power law of slope −1.6 over at least 50010000au. In contrast, the separation distributions of WD/MS and WD/WD binaries show distinct breaks at ∼3000 and ∼1500 au, respectively: they are flatter than the MS/MS distribution at small separations and steeper at large separations. Using binary population synthesis models, we show that these breaks are unlikely to be caused by external factors but can be explained if the WDs incur a kick of ∼0.75 km s⁻¹ during their formation, presumably due to asymmetric mass-loss. The data rule out typical kick velocities above 2 km s⁻¹. Our results imply that most wide binaries with separations exceeding a few thousand au become unbound during post-MS evolution.

Additional Information

© 2018 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). We are grateful to the referee, Andrei Tokovinin, for a constructive report. We also thank Carles Badenes, Matteo Cantiello, Andy Casey, Trent Dupuy, Morgan Fouesneau, Andy Gould, Ted von Hippel, David W. Hogg, Sergey Koposov, Chao Liu, Adrian Price-Whelan, Eliot Quataert, Jan Rybizki, David Spergel, and Daniel R. Weisz for helpful discussions. KE was supported by the SFB 881 program (A3) and an NSF graduate research fellowship. We are grateful to Livia DeMarchis for her hospitality during the writing of this manuscript. This project was developed in part at the 2018 NYC Gaia Sprint, hosted by the Center for Computational Astrophysics of the Flatiron Institute in New York City. 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.

Additional details

Created:
August 22, 2023
Modified:
October 24, 2023