The SLoWPoKES Catalog of Low-mass Ultra-wide Binaries: A Cool Stars Resource for Testing Fundamental Properties and for Constraining Binary Formation Theory
We present results from the Sloan Low-mass Wide Pairs of Kinematically Equivalent Stars (SLoWPoKES) catalog of ultra-wide (10^3-10^5.5 AU), low-mass (K5-M7) common proper motion binaries. We constructed a Galactic model, based on empirical stellar number density and 3D velocity distributions, to sel...
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Main Authors: | , , , |
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Format: | Journal Article |
Language: | English |
Published: |
11-09-2012
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Subjects: | |
Online Access: | Get full text |
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Summary: | We present results from the Sloan Low-mass Wide Pairs of Kinematically
Equivalent Stars (SLoWPoKES) catalog of ultra-wide (10^3-10^5.5 AU), low-mass
(K5-M7) common proper motion binaries. We constructed a Galactic model, based
on empirical stellar number density and 3D velocity distributions, to select
bona fide pairs with probability of chance alignment <5%, making SLoWPoKES an
efficient sample for followup observations. Our initial catalog contains 1342
disk dwarf, subdwarf, and white dwarf-red dwarf systems and is the largest
collection of low-mass, wide binaries ever assembled. The diversity---in mass,
metallicity, age, and evolutionary states---of SLoWPoKES pairs makes it a
valuable resource of coeval laboratories to examine and constrain the physical
properties of low-mass stars. SLoWPoKES pairs show signatures of two (or more)
formation modes in the distribution of the physical separation and higher-order
multiplicity. Neither dynamical dissipation of primordial triples/quadruples or
dynamical capture of ejected stars can explain the observed populations by
itself. We use followup spectroscopic observations to recalibrate the
metallicity-sensitive {\zeta}_(TiO/CaH) index by assuming that both members of
the binary system have the same composition. Our new formulation is a
significantly better tracer of absolute metallicity, particularly for the
early-type M dwarfs. The SLoWPoKES catalog is publicly available on a custom
data visualization portal. |
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DOI: | 10.48550/arxiv.1209.2206 |