Discovery and Characterization of 3000+ Main-Sequence Binaries from APOGEE Spectra
Kareem El-Badry, Yuan-Sen Ting, Hans-Walter Rix, Eliot Quataert,, Daniel R. Weisz, Phillip Cargile, Charlie Conroy, David W. Hogg, Maria, Bergemann, and Chao Liu

TL;DR
This paper presents a data-driven spectral model to identify and characterize over 3,000 main-sequence binary and triple star systems from APOGEE spectra, including new orbital solutions and catalogs.
Contribution
It introduces a novel spectral fitting method that detects unresolved binaries and triples, providing detailed stellar parameters and orbital solutions from APOGEE data.
Findings
Identified ~2,500 binaries and ~200 triples from ~20,000 stars.
Achieved agreement between spectroscopic and dynamical mass ratios.
Provided full orbital solutions for 64 systems.
Abstract
We develop a data-driven spectral model for identifying and characterizing spatially unresolved multiple-star systems and apply it to APOGEE DR13 spectra of main-sequence stars. Binaries and triples are identified as targets whose spectra can be significantly better fit by a superposition of two or three model spectra, drawn from the same isochrone, than any single-star model. From an initial sample of 20,000 main-sequence targets, we identify 2,500 binaries in which both the primary and secondary star contribute detectably to the spectrum, simultaneously fitting for the velocities and stellar parameters of both components. We additionally identify and fit 200 triple systems, as well as 700 velocity-variable systems in which the secondary does not contribute detectably to the spectrum. Our model simplifies the process of simultaneously fitting single- or…
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