How to design a planetary system for different scattering outcomes: giant impact sweet spot, maximising exocomets, scattered disks
M. C. Wyatt, A. Bonsor, A. P. Jackson, S. Marino, A. Shannon

TL;DR
This paper analyzes how different planetary system architectures influence scattering outcomes of planetesimals, identifying optimal conditions for detecting giant impact debris, exocomets, and scattered disks, with implications for planetary formation and detection.
Contribution
It classifies scattering regimes based on planet parameters and proposes principles for maximizing observability of debris and comet influx in exoplanetary systems.
Findings
Giant impact debris detection is optimal for 0.1-10 Mearth planets at 1-5 au.
Systems with closely spaced interior planets enhance exocomet influx.
Architectures maximizing Oort Cloud populations require no ejector planets.
Abstract
This paper considers the dynamics of scattering of planetesimals or planetary embryos by a planet on a circumstellar orbit. We classify six regions in the planet's mass versus semimajor axis parameter space according to the dominant outcome for scattered objects: ejected, accreted, remaining, escaping, Oort Cloud, depleted Oort Cloud. We use these outcomes to consider which planetary system architectures maximise the observability of specific signatures, given that signatures should be detected first around systems with optimal architectures (if such systems exist in nature). Giant impact debris is most readily detectable for 0.1-10Mearth planets at 1-5au, depending on detection method and spectral type. While A stars have putative giant impact debris at 4-6au consistent with this sweet spot, that of FGK stars is typically <<1au contrary to expectations; an absence of 1-3au giant impact…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
