Planet populations inferred from debris discs: insights from 178 debris systems in the ISPY, LEECH and LIStEN planet-hunting surveys
Tim D. Pearce, Ralf Launhardt, Robert Ostermann, Grant M. Kennedy,, Mario Gennaro, Mark Booth, Alexander V. Krivov, Gabriele Cugno, Thomas K., Henning, Andreas Quirrenbach, Arianna Musso Barcucci, Elisabeth C. Matthews,, Henrik L. Ruh, Jordan M. Stone

TL;DR
This study uses debris disc observations from 178 systems to infer the properties of outer planets, suggesting many are Neptune- to Jupiter-mass and undetectable with current technology, but potentially observable with future instruments like JWST.
Contribution
It presents a large, consistent analysis of debris discs to predict the population and characteristics of wide-separation exoplanets, linking disc dynamics to planet formation and evolution.
Findings
Most debris discs likely require Neptune- to Saturn-mass planets at 10-100 au.
Many predicted planets are currently undetectable but could be found with improved detection limits.
Planet- or companion-stirring is likely the dominant mechanism in debris disc evolution.
Abstract
We know little about the outermost exoplanets in planetary systems, because our detection methods are insensitive to moderate-mass planets on wide orbits. However, debris discs can probe the outer-planet population, because dynamical modelling of observed discs can reveal properties of perturbing planets. We use four sculpting and stirring arguments to infer planet properties in 178 debris-disc systems from the ISPY, LEECH and LIStEN planet-hunting surveys. Similar analyses are often conducted for individual discs, but we consider a large sample in a consistent manner. We aim to predict the population of wide-separation planets, gain insight into the formation and evolution histories of planetary systems, and determine the feasibility of detecting these planets in the near future. We show that a `typical' cold debris disc likely requires a Neptune- to Saturn-mass planet at 10-100 au,…
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.
