4.7 Article

Star formation via the little guy: A Bayesian study of ultracool dwarf imaging surveys for companions

Journal

ASTROPHYSICAL JOURNAL
Volume 668, Issue 1, Pages 492-506

Publisher

IOP PUBLISHING LTD
DOI: 10.1086/521207

Keywords

binaries : visual; methods : statistical; stars : formation; stars : low-mass; brown dwarfs

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I have undertaken a comprehensive statistical investigation of the ultracool dwarf companion distribution (spectral type M6 and later). Utilizing a Bayesian algorithm, I tested models of the companion distribution against data from an extensive set of space and ground-based imaging observations of nearby ultracool dwarfs. My main conclusions are fivefold: (1) confirm that the concentration of high mass ratio ultracool binary systems is a fundamental feature of the companion distribution, not an observational or selection bias; (2) determine that the wide (>similar to 20 AU) binary frequency can be no more than 1% -2%; (3) show that the decreasing binary frequency with later spectral types is a real trend; (4) demonstrate that a large population of currently undetected low mass ratio systems are not consistent with the current data; and (5) find that the population of spectroscopic binaries must be at least 30% that of currently known ultracool binaries. The best-fit value for the overall M6 and later binary frequency is similar to 20% -22%, of which only similar to 6% consists of currently undetected companions with separations less than 1AU. If this is correct, then the upper limit of the ultracool binary population discovered to date is similar to 75%. I find that the numerical simulation results of the ejection formation method are inconsistent with the outcome of this analysis. However, dynamics do seem to play an important role, as simulations of small-N clusters and triple system decays produce results similar to those of this work. The observational efforts required to improve these constraints are shown to be primarily large spectroscopic binary surveys and improved high-resolution imaging techniques.

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