Testing MOND on small bodies in the remote solar system
David Vokrouhlick\'y, David Nesvorn\'y, Scott Tremaine

TL;DR
This study tests Modified Newtonian Dynamics (MOND) in the solar system by simulating small bodies' orbits, finding that MOND predictions do not match observed comet and trans-Neptunian object distributions, challenging MOND's validity at small scales.
Contribution
First solar-system test of MOND using detailed simulations of small bodies, showing discrepancies with observations that challenge MOND's applicability at small scales.
Findings
Newtonian simulations match observed comet distributions
MOND simulations fail to reproduce observed orbital distributions
Results challenge the validity of the popular AQUAL MOND formulation at small scales
Abstract
Modified Newtonian dynamics (MOND), which postulates a breakdown of Newton's laws of gravity/dynamics below some critical acceleration threshold, can explain many otherwise puzzling observational phenomena on galactic scales. MOND competes with the hypothesis of dark matter, which successfully explains the cosmic microwave background and large-scale structure. Here we provide the first solar-system test of MOND that probes the sub-critical acceleration regime. Using the Bekenstein-Milgrom AQUAL formulation, we simulate the evolution of myriads of test particles (planetesimals or comets) born in the trans-Neptunian region and scattered by the giant planets over the lifetime of the Sun to heliocentric distances of - au. We include the effects of the Galactic tidal field and passing stars. While Newtonian simulations reproduce the distribution of binding energies of long-period…
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.
Taxonomy
TopicsParallel Computing and Optimization Techniques · Solar and Space Plasma Dynamics · Computational Physics and Python Applications
