2023
DOI: 10.3847/1538-3881/acd63b
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OrbitN: A Symplectic Integrator for Planetary Systems Dominated by a Central Mass—Insight into Long-term Solar System Chaos

Abstract: Reliable studies of the long-term dynamics of planetary systems require numerical integrators that are accurate and fast. The challenge is often formidable because the chaotic nature of many systems requires relative numerical error bounds at or close to machine precision (∼10−16, double-precision arithmetic); otherwise, numerical chaos may dominate over physical chaos. Currently, the speed/accuracy demands are usually only met by symplectic integrators. For example, the most up-to-date long-term astronomical … Show more

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Cited by 4 publications
(13 citation statements)
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“…Solar system integrations were performed following our earlier work (Zeebe 2017;Zeebe & Lourens 2019;Zeebe 2022) with our integrator package orbitN (v1.0) (Zeebe 2023), using a symplectic integrator and Jacobi coordinates (Wisdom & Holman 1991;Zeebe 2015b). 3 The methods used here and our integrator package have been extensively tested and compared against other studies (Zeebe 2017;Zeebe & Lourens 2019;Zeebe 2022Zeebe , 2023. For the present study, we also included simulations with an independent integrator package (HNBody; Rauch & Hamilton 2002) and found the same dynamical behavior.…”
Section: Solar System Integrationsmentioning
confidence: 96%
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“…Solar system integrations were performed following our earlier work (Zeebe 2017;Zeebe & Lourens 2019;Zeebe 2022) with our integrator package orbitN (v1.0) (Zeebe 2023), using a symplectic integrator and Jacobi coordinates (Wisdom & Holman 1991;Zeebe 2015b). 3 The methods used here and our integrator package have been extensively tested and compared against other studies (Zeebe 2017;Zeebe & Lourens 2019;Zeebe 2022Zeebe , 2023. For the present study, we also included simulations with an independent integrator package (HNBody; Rauch & Hamilton 2002) and found the same dynamical behavior.…”
Section: Solar System Integrationsmentioning
confidence: 96%
“…All simulations include contributions from general relativity, available in orbitN as post-Newtonian effects due to the dominant mass. The Earth-Moon system was modeled as a gravitational quadrupole (Quinn et al 1991;Varadi et al 2003;Zeebe 2017Zeebe , 2023. Initial conditions for the positions and velocities of the planets and Pluto were generated from the latest JPL ephemeris DE441 (Park et al 2021) using the SPICE toolkit for Matlab.…”
Section: Solar System Integrationsmentioning
confidence: 99%
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