Physical Analysis of Bennu Samples Reveals Regolith Production by Collisional Disruption on Near-Earth Asteroids
R.-L. Ballouz, A.J. Ryan, R.J. Macke, O.S. Barnouin, M. L\^e, J. Moreno, S. Eckley, L. Hanton, A. Hildebrand, V. Toy-Edens, R.M. Meier, M. Berkson, E. Asphaug, S. Cambioni, C.G. Hoover, K. Jardine, E.R. Jawin, N. Lunning, J.L. Molaro, M. Pajola, K. Righter, K.T. Ramesh

TL;DR
This study combines physical analysis, laboratory impact experiments, and numerical simulations to show that impact fragments are retained on Bennu's porous surface, contributing to regolith formation on small NEAs.
Contribution
It provides new evidence that impact-produced regolith can be retained on low-gravity, porous asteroids, challenging previous assumptions about impact fragment escape.
Findings
85% of impact fragments are retained in the asteroid's surface.
Bennu's crater ratios suggest samples are representative of large boulders.
Most surface rocks may be products of in situ collisional disruption.
Abstract
Owing to the extremely low gravity of small near-Earth asteroids (NEAs), it has been assumed that impact-generated rock fragments escape into space and thus do not contribute to the accumulation of regolith. However, centimeter-sized stones returned from the small NEA Bennu by NASA's OSIRIS-REx mission exhibit impact craters up to a few millimeters wide, implying that impact fragments and impact-processed rocks are retained despite the microgravity environment. To understand how, we combined detailed physical analysis of Bennu samples, laboratory experiments of impacts into simulant rocks, and 3D numerical simulations of disruptive impacts into boulders. We find that the majority (85% by mass) of impact fragments eject toward and penetrate the asteroid's weak, porous surface, leading to their retention. In addition, crater depth-to-diameter ratios (d/D) suggest that the Bennu samples…
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.
