Published February 27, 2023 | Version v1
Journal article Open

Simple Physics and Integrators Accurately Reproduce Mercury Instability Statistics

  • 1. University of Chicago
  • 2. Harvard-Smithsonian Center for Astrophysics
  • 3. University of Toronto
  • 4. California Institute of Technology
  • 5. New York University

Description

The long-term stability of the solar system is an issue of significant scientific and philosophical interest. The mechanism leading to instability is Mercury's eccentricity being pumped up so high that Mercury either collides with Venus or is scattered into the Sun. Previously, only three five-billion-year N-body ensembles of the solar system with thousands of simulations have been run to assess long-term stability. We generate two additional ensembles, each with 2750 members, and make them publicly available at https://archive.org/details/@dorianabbot. We find that accurate Mercury instability statistics can be obtained by (1) including only the Sun and the eight planets, (2) using a simple Wisdom–Holman scheme without correctors, (3) using a basic representation of general relativity, and (4) using a time step of 3.16 days. By combining our solar system ensembles with previous ensembles, we form a 9601-member ensemble of ensembles. In this ensemble of ensembles, the logarithm of the frequency of a Mercury instability event increases linearly with time between 1.3 and 5 Gyr, suggesting that a single mechanism is responsible for Mercury instabilities in this time range and that this mechanism becomes more active as time progresses. Our work provides a robust estimate of Mercury instability statistics over the next five billion years, outlines methodologies that may be useful for exoplanet system investigations, and provides two large ensembles of publicly available solar system integrations that can serve as test beds for theoretical ideas as well as training sets for artificial intelligence schemes.

Data availability

The code used to produce an Artificial Intelligence (AI) supervised learning Mercury instability classifier problem on the Solar System simulations is available at: https://doi.org/10.6082/uchicago.10055

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Simple-Physics-and-Integrators-Accurately-Reproduce-Mercury-Instability-Statistics.pdf

Additional details

Identifiers

DOI
10.3847/1538-4357/acb6ff
Other
oai:uchicago.tind.io:10065

Related works

UChicago Information

Division(s)
Physical Sciences Division
Department(s)
Geophysical Sciences, Physics