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Published July 10, 2024 | Published
Journal Article Open

Breaking Giant Chains: Early-stage Instabilities in Long-period Giant Planet Systems

  • 1. ROR icon California Institute of Technology

Abstract

Orbital evolution is a critical process that sculpts planetary systems, particularly during their early stages where planet–disk interactions are expected to lead to the formation of resonant chains. Despite the theoretically expected prominence of such configurations, they are scarcely observed among long-period giant exoplanets. This disparity suggests an evolutionary sequence wherein giant planet systems originate in compact multiresonant configurations, but subsequently become unstable, eventually relaxing to wider orbits—a phenomenon mirrored in our own solar system's early history. In this work, we present a suite of N-body simulations that model the instability-driven evolution of giant planet systems, originating from resonant initial conditions, through phases of disk dispersal and beyond. By comparing the period ratio and normalized angular momentum distributions of our synthetic aggregate of systems with the observational census of long-period Jovian planets, we derive constraints on the expected rate of orbital migration, the efficiency of gas-driven eccentricity damping, and typical initial multiplicity. Our findings reveal a distinct inclination toward densely packed initial conditions, weak damping, and high giant planet multiplicities. Furthermore, our models indicate that resonant chain origins do not facilitate the formation of Hot Jupiters via the coplanar high-eccentricity pathway at rates high enough to explain their observed prevalence.

Copyright and License

© 2024. The Author(s). Published by the American Astronomical Society. 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

V.N. would like to acknowledge Caltech SURF for supporting this research. We also thank the anonymous reviewer for the helpful comments, as well as Mario Flock, Sarah Millholland, Malena Rice, Sarah Blunt, B.J. Fulton, Lee Rosenthal, and Andrew Howard for helpful conversations. V.N. would also like to thank his fellow residents at International House for their great support, as well as for their commendable patience in listening to numerous impassioned monologues about resonant chains. K.B. is grateful to Caltech, the David and Lucile Packard Foundation, and National Science Foundation (grant number: AST 2109276) for their generous support.

Software References

This research was enabled by the following software: rebound (Rein & Liu 2012), reboundX (Tamayo et al. 2020), numpy (Harris et al. 2020), pandas (McKinney 2010), matplotlib (Hunter 2007), and scipy (Virtanen et al. 2020). For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising from this submission.

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Additional details

Created:
July 11, 2024
Modified:
July 11, 2024