Bibcode
Skinner, J.; Covey, Kevin R.; Bender, Chad F.; Rivera, Noah; De Lee, Nathan; Souto, Diogo; Chojnowski, Drew; Troup, Nicholas; Badenes, Carles; Bizyaev, Dmitry; Blake, Cullen H.; Burgasser, Adam; Cañas, Caleb; Carlberg, Joleen; Gómez Maqueo Chew, Yilen; Deshpande, Rohit; Fleming, Scott W.; Fernández-Trincado, J. G.; García-Hernández, D. A.; Hearty, Fred; Kounkel, Marina; Longa-Peñe, Penélope; Mahadevan, Suvrath; Majewski, Steven R.; Minniti, Dante; Nidever, David; Oravetz, Audrey; Pan, Kaike; Stassun, Keivan; Terrien, Ryan; Zamora, O.
Referencia bibliográfica
The Astronomical Journal, Volume 156, Issue 2, article id. 45, 16 pp. (2018).
Fecha de publicación:
8
2018
Número de citas
11
Número de citas referidas
9
Descripción
Binary stars make up a significant portion of all stellar systems.
Consequently, an understanding of the bulk properties of binary stars is
necessary for a full picture of star formation. Binary surveys indicate
that both multiplicity fraction and typical orbital separation increase
as functions of primary mass. Correlations with higher-order
architectural parameters such as mass ratio are less well constrained.
We seek to identify and characterize double-lined spectroscopic binaries
(SB2s) among the 1350 M-dwarf ancillary science targets with APOGEE
spectra in the SDSS-III Data Release 13. We measure the degree of
asymmetry in the APOGEE pipeline cross-correlation functions (CCFs) and
use those metrics to identify a sample of 44 high-likelihood candidate
SB2s. At least 11 of these SB2s are known, having been previously
identified by Deshpande et al. and/or El-Badry et al. We are able to
extract radial velocities (RVs) for the components of 36 of these
systems from their CCFs. With these RVs, we measure mass ratios for 29
SB2s and five SB3s. We use Bayesian techniques to fit maximum-likelihood
(but still preliminary) orbits for four SB2s with eight or more distinct
APOGEE observations. The observed (but incomplete) mass-ratio
distribution of this sample rises quickly toward unity. Two-sided
Kolmogorov–Smirnov tests find probabilities of 18.3% and 18.7%,
demonstrating that the mass-ratio distribution of our sample is
consistent with those measured by Pourbaix et al. and Fernandez et al.,
respectively.
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