Issue |
A&A
Volume 674, June 2023
|
|
---|---|---|
Article Number | A88 | |
Number of page(s) | 14 | |
Section | Stellar structure and evolution | |
DOI | https://doi.org/10.1051/0004-6361/202244308 | |
Published online | 07 June 2023 |
A spectroscopic multiplicity survey of Galactic Wolf-Rayet stars⋆
III. The northern late-type nitrogen-rich sample
1
Université Libre de Bruxelles, Av. Franklin Roosevelt 50, 1050 Brussels Celestijnenlaan 200D, 3001 Leuven, Belgium
e-mail: karan.singh.dsilva@ulb.be
2
Institute of Astronomy, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium
3
Anton Pannekoek Institute for Astronomy, University of Amsterdam, Postbus 94249, 1090 GE Amsterdam, The Netherlands
Received:
20
June
2022
Accepted:
26
November
2022
Context. Massive stars are powerful cosmic engines that have a huge impact on their surroundings and host galaxies. The majority of massive stars will interact with a companion star during their evolution. The effects of this interaction on their end-of-life products are currently poorly constrained. In the phases immediately preceding core-collapse, massive stars in the Galaxy with Mi ≳ 20 M⊙ may appear as classical Wolf-Rayet (WR) stars. The multiplicity properties of the WR population are thus required to further our understanding of stellar evolution at the upper-mass end.
Aims. As the final contribution of a homogeneous radial velocity (RV) survey, this work aims to constrain the multiplicity properties of northern Galactic late-type nitrogen-rich Wolf-Rayet (WNL) stars. We compare their intrinsic binary fraction and orbital period distribution to the carbon-rich (WC) and early-type nitrogen-rich (WNE) populations from previous works.
Methods. We obtained high-resolution spectra of the complete magnitude-limited sample of 11 Galactic WNL stars with the Mercator telescope on the island of La Palma. We used cross-correlation with a log-likelihood framework to measure relative RVs and flagged binary candidates based on the peak-to-peak RV dispersion. By using Monte Carlo sampling and a Bayesian framework, we computed the three-dimensional likelihood and one-dimensional posteriors for the upper period cut-off (log PmaxWNL), power-law index (πWNL), and intrinsic binary fraction (fintWNL).
Results. Adopting a threshold C of 50 km s−1, we derived fobsWNL = 0.36 ± 0.15. Our Bayesian analysis produces fintWNL = 0.42−0.17+0.15, πWNL = −0.70−1.02+0.73 and log PmaxWNL = 4.90−3.40+0.09 for the parent WNL population. The combined analysis of the Galactic WN population results in fintWN = 0.52−0.12+0.14, πWN = −0.99−0.50+0.57 and log PmaxWN = 4.99−1.11+0.00. The observed period distribution of Galactic WN and WC binaries from the literature is in agreement with what is found.
Conclusions. The period distribution of Galactic WN binaries peaks at P ∼ 1–10 d and that of the WC population at P ∼ 5000 d. This shift cannot be reconciled by orbital evolution due to mass loss or mass transfer. At long periods, the evolutionary sequence O (→LBV) → WN → WC seems feasible. The high frequency of short-period WN binaries compared to WC binaries suggests that they either tend to merge, or that the WN components in these binaries rarely evolve into WC stars in the Galaxy.
Key words: stars: Wolf-Rayet / techniques: radial velocities / methods: statistical / binaries: spectroscopic
Normalised spectra are only available at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/674/A88
© 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.
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.