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| DOI | 10.3847/1538-4357/AB0214 | ||||
| Año | 2019 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
About a century ago, Jeans (1919) discovered that if binary stars reach a state approximating energy equipartition, for example, through many dynamical encounters that exchange energy, their eccentricity distribution can be described by dN/de = 2e. This is referred to as the thermal eccentricity distribution, and has been widely used for initial conditions in theoretical investigations of binary stars. However, observations suggest that the eccentricity distributions of most observed binaries, and particularly those with masses less than or similar to 5 M-circle dot, are flatter than thermal and follow more closely to a uniform distribution. Nonetheless, it is often argued that dynamical interactions in a star cluster would quickly thermalize the binaries, which could justify imposing a thermal eccentricity distribution at birth for all binaries. In this paper, we investigate the validity of this assumption. We develop our own rapid semi analytic model for binary evolution in star clusters, and also compare it with detailed N-body and Monte Carlo star cluster models. We show that, for nearly all binaries, dynamical encounters fail to convert an initially uniform eccentricity distribution to thermal within a star cluster's lifetime. Thus, if a thermal eccentricity distribution is observed, it is likely imprinted upon formation rather than through subsequent long-term dynamical processing. Theoretical investigations that initialize all binaries with a thermal distribution will make incorrect predictions for the evolution of the binary population. Such models may overpredict the merger rate for binaries with modest orbital separations by a factor of about two.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Geller, Aaron M. | Hombre |
NORTHWESTERN UNIV - Estados Unidos
Adler Planetarium - Estados Unidos Northwestern University - Estados Unidos |
| 2 | Leigh, Nathan | Hombre |
SUNY Stony Brook - Estados Unidos
AMER MUSEUM NAT HIST - Estados Unidos Universidad de Concepción - Chile Stony Brook University - Estados Unidos American Museum of Natural History - Estados Unidos |
| 3 | Giersz, Mirek | - |
Polish Acad Sci - Polonia
Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia |
| 4 | Kremer, Kyle | Mujer |
NORTHWESTERN UNIV - Estados Unidos
Northwestern University - Estados Unidos |
| 5 | Rasio, Frederic A. | Hombre |
NORTHWESTERN UNIV - Estados Unidos
Northwestern University - Estados Unidos |
| Fuente |
|---|
| National Science Foundation |
| NSF |
| National Aeronautics and Space Administration |
| Narodowe Centrum Nauki |
| NCN, Poland |
| National Science Foundation Graduate Research Fellowship Program |
| NASA ATP grant |
| Office for Research |
| Northwestern University Information Technology |
| Office of the Vice Provost for Research, Boston College |
| Agradecimiento |
|---|
| We thank Douglas Heggie for his input and suggestions in constructing our semi-analytic model. This research was supported in part through the computational resources and staff contributions provided for the Quest high-performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. K.K. acknowledges support by the National Science Foundation Graduate Research Fellowship Program under grant No. DGE-1324585. K.K. and F.A.R. acknowledge support from NASA ATP Grant NNX14AP92G and NSF Grant AST-1716762. M.G. was partially supported by NCN, Poland, through the grant UMO-2016/23/B/ST9/0273. |
| We thank Douglas Heggie for his input and suggestions in constructing our semi-analytic model. This research was supported in part through the computational resources and staff contributions provided for the Quest high-performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. K.K. acknowledges support by the National Science Foundation Graduate Research Fellowship Program under grant No. DGE-1324585. K.K. and F.A.R. acknowledge support from NASA ATP Grant NNX14AP92G and NSF Grant AST-1716762. M.G. was partially supported by NCN, Poland, through the grant UMO-2016/23/B/ST9/0273. |