Hydrodynamic Winds from Twin-star Binaries
Abstract
Stellar winds shape the evolution of stars through the loss of mass. In binary systems, they also shape the stars' evolution by modifying the orbit. In this paper, we use hydrodynamic simulations to study the emergence of nearly isothermal winds from identical twin binaries. We vary the degree to which model stars fill their Roche lobes and the temperature of the wind. Initialized at rest on the stellar surfaces, winds accelerate away from the binary components through a sonic surface to supersonic outward velocities. In cases where the binary fills its Roche lobe, a shared subsonic region surrounds both components. We find that mass loss rates from close twin-star binaries are enhanced relative to the expectation from two single-object winds. This binary enhancement is best modeled as a function of the ratio of wind velocity to orbital velocity. Similarly, we find that the specific angular momentum with which winds emerge can vary between that of the binary components and that of the outer Lagrange points depending on the ratio of wind velocity to orbital velocity. Given that mass and angular momentum loss can be modeled as simple functions of wind velocity, our results may be broadly applicable to the evolution of close, equal-mass binaries. One particularly important potential application is to massive, close binaries, which may be progenitors of binary black hole mergers through the chemically homogeneous evolution channel.
- Publication:
-
The Astrophysical Journal
- Pub Date:
- October 2020
- DOI:
- 10.3847/1538-4357/abb313
- arXiv:
- arXiv:2007.07252
- Bibcode:
- 2020ApJ...902...85M
- Keywords:
-
- Binary stars;
- Close binary stars;
- Stellar winds;
- Hydrodynamics;
- 154;
- 254;
- 1636;
- 1963;
- Astrophysics - Solar and Stellar Astrophysics
- E-Print:
- Submitted to AAS Journals for review -- we welcome comments and feedback. Software to reproduce simulation analysis as well as extended figure sets are available at https://github.com/morganemacleod/TwinWinds Raw data release is also being arranged as soon as possible via zenodo, will be linked from github