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In Search of the Thermal Eccentricity Distribution
Indexado
WoS WOS:000459323800018
Scopus SCOPUS_ID:85063522904
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


Abstract



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.

Revista



Revista ISSN
Astrophysical Journal 0004-637X

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Disciplinas de Investigación



WOS
Astronomy & Astrophysics
Scopus
Sin Disciplinas
SciELO
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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



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

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Origen de Citas Identificadas



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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 4.88 %
Citas No-identificadas: 95.12 %

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Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 4.88 %
Citas No-identificadas: 95.12 %

Financiamiento



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

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Agradecimientos



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.

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