Published September 2025 | Version Published
Journal Article Open

10,000 Resolved Triples from Gaia: Empirical Constraints on Triple Star Populations

  • 1. ROR icon California Institute of Technology
  • 2. ROR icon University of California, Los Angeles

Abstract

We present a catalog of ∼10,000 resolved triple star systems within 500 pc of the Sun, constructed using Gaia data. The triples include main-sequence, red giant, and white dwarf components spanning separations of 10–50,000 au. A well-characterized selection function allows us to constrain intrinsic demographics of the triple star population. We find that (a) all systems are compatible with being hierarchical and dynamically stable; (b) mutual orbital inclinations are isotropic for wide triples but show modest alignment as the systems become more compact; (c) primary masses follow a Kroupa initial mass function weighted by the triple fraction; (d) inner binary orbital periods, eccentricities, and mass ratios mirror those of isolated binaries, including a pronounced twin excess (mass ratios greater than 0.95) out to separations of 1000+ au, suggesting a common formation pathway; (e) tertiary mass ratios follow a power-law distribution with slope −1.4; (f) tertiary orbits are consistent with a log-normal period distribution and thermal eccentricities, subject to dynamical stability. Informed by these observations, we develop a publicly available prescription for generating mock triple star populations. Finally, we estimate the catalog’s completeness and infer the intrinsic triple fraction, which rises steadily with primary mass: from 5% at ≲0.5 M to 35% at 2 M. The public catalog provides a robust testbed for models of triple star formation and evolution.

Copyright and License

© 2025. The Author(s). Published by IOP Publishing Ltd on behalf of the Astronomical Society of the Pacific (ASP). Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

Acknowledgement

We thank the anonymous referee for constructive feedback that improved the manuscript. We thank Isaac Cheng and Tirth Surti for useful discussions. C.S. is supported by the Joshua and Beth Friedman Foundation Fund. K.E. acknowledges support from NSF grant AST–2307232. S.N. acknowledges the partial support of NSF-BSF grant AST-2206428 and NASA XRP grant 80NSSC23K0262 as well as Howard and Astrid Preston for their generous support. The computations presented here were conducted in the Resnick High Performance Computing Center, a facility supported by Resnick Sustainability Institute at the California Institute of Technology. This work has made use of data from the European Space Agency (ESA) mission Gaia, processed by the Gaia Data Processing and Analysis Consortium (DPAC).

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Additional details

Related works

Is new version of
Discussion Paper: arXiv:2506.16513 (arXiv)

Funding

National Science Foundation
AST-2307232
National Science Foundation
AST-2206428
National Aeronautics and Space Administration
80NSSC23K0262

Dates

Accepted
2025-08-13
Available
2025-09-03
Published online

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Caltech groups
Astronomy Department, Division of Physics, Mathematics and Astronomy (PMA)
Publication Status
Published