| Issue |
A&A
Volume 704, December 2025
|
|
|---|---|---|
| Article Number | A219 | |
| Number of page(s) | 29 | |
| Section | Stellar structure and evolution | |
| DOI | https://doi.org/10.1051/0004-6361/202554874 | |
| Published online | 12 December 2025 | |
Populations of evolved massive binary stars in the Small Magellanic Cloud
II. Predictions from rapid binary evolution
1
Argelander-Institut für Astronomie, Universität Bonn, Auf dem Hügel 71, 53121 Bonn, Germany
2
Max-Planck-Institut für Radioastronomie, Auf dem Hügel 69, 53121 Bonn, Germany
3
Instituto de Astrofísica de Canarias, 38200 La Laguna, Tenerife, Spain
4
Departamento de Astrofísica, Universidad de La Laguna, 38205 La Laguna, Tenerife, Spain
5
Département d’Astronomie, Université de Genève, Chemin Pegasi 51, CH-1290 Versoix, Switzerland
6
Gravitational Wave Science Center (GWSC), Université de Genève, 24 Quai E. Ansermet, CH-1211 Geneva, Switzerland
7
Institute of Astrophysics, Foundation for Research & Technology Hellas (FORTH), GR-70013 Heraklion, Greece
8
Max-Planck-Institut für Extraterrestrische Physik, Gießenbachstraße 1, 85748 Garching, Germany
9
Tel Aviv University, The School of Physics and Astronomy, Tel Aviv 6997801, Israel
10
Department of Materials and Production, Aalborg University, Fibigerstræde 16, 9220 Aalborg, Denmark
11
School of Astronomy and Space Science, Nanjing University, Nanjing 210023, People’s Republic of China
12
Key Laboratory of Modern Astronomy and Astrophysics, Nanjing University, Ministry of Education, Nanjing 210023, People’s Republic of China
13
Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Straße 1, 85748 Garching, Germany
★ Corresponding authors: chr-schuermann@uni-bonn.de; xxu.astro@outlook.com
Received:
30
March
2025
Accepted:
14
August
2025
Context. Massive star evolution plays a crucial role in astrophysics; however, its study is subject to large uncertainties. This problem becomes more severe by the majority of massive stars being born in close binary systems, whose evolution is affected by interactions among their components.
Aims. We want to constrain major uncertainties in massive binary star evolution, particularly with respect to the efficiency and the stability of the first mass-transfer phase.
Methods. We used the rapid population synthesis code COMBINE to generate synthetic populations of post-interaction binaries, assuming constant mass-transfer efficiency. We employed a new merger criterion that adjusts self-consistently to any prescribed mass-transfer efficiency. We tailored our synthetic populations to be comparable to the expected binary populations in the Small Magellanic Cloud (SMC).
Results. We find that the observed populations of evolved massive binaries cannot be reproduced with a single mass-transfer efficiency. Instead, a rather high efficiency (≳50%) is needed to reproduce the number of Be stars and Be/X-ray (BeXB) binaries in the SMC, while a low efficiency (∼10%) leads to a better agreement with the observed number of Wolf-Rayet (WR) stars. We constructed a corresponding mass-dependent mass-transfer efficiency recipe to produce our fiducial synthetic SMC post-interaction binary population. It reproduces the observed number and properties of the BeXBs and WR binaries rather well; furthermore, it is not in stark disagreement with the observed OBe star population. It predicts around 170 massive stars with neutron star companion, of which 140 are Be stars, and about 170 systems disrupted by the supernova, of which 150 are Be stars. Overall, 20% of all post-interaction systems contain a helium star. It also predicts two large, as-yet-unobserved populations of OB + BH binaries: about 100 OB + BH systems with rather small orbital periods (≲20 d) and around 40 longer period OBe + BH systems.
Conclusions. Continued searches for massive binary systems will strongly advance our understanding of their evolution.
Key words: stars: black holes / stars: emission-line, Be / stars: massive / stars: neutron / Magellanic Clouds / X-rays: binaries
© The Authors 2025
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.
This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.