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WHFAST: a fast and unbiased implementation of a symplectic Wisdom-Holman integrator for long-term gravitational simulations

Abstract

We present WHFAST, a fast and accurate implementation of a Wisdom-Holman symplectic integrator for long-term orbit integrations of planetary systems. WHFAST is significantly faster and conserves energy better than all other Wisdom-Holman integrators tested. We achieve this by significantly improving the Kepler solver and ensuring numerical stability of coordinate transformations to and from Jacobi coordinates. These refinements allow us to remove the linear secular trend in the energy error that is present in other implementations. For small enough timesteps, we achieve Brouwer's law, i.e. the energy error is dominated by an unbiased random walk due to floating-point round-off errors. We implement symplectic correctors up to order 11 that significantly reduce the energy error. We also implement a symplectic tangent map for the variational equations. This allows us to efficiently calculate two widely used chaos indicators the Lyapunov characteristic number and the Mean Exponential Growth factor of Nearby Orbits. WHFAST is freely available as a flexible C package, as a shared library, and as an easy-to-use PYTHON module.


Publication:
Monthly Notices of the Royal Astronomical Society
Pub Date:
September 2015
DOI:

10.1093/mnras/stv1257

10.48550/arXiv.1506.01084

arXiv:
arXiv:1506.01084
Bibcode:
2015MNRAS.452..376R
Keywords:
  • gravitation;
  • methods: numerical;
  • planets and satellites: dynamical evolution and stability;
  • Astrophysics - Earth and Planetary Astrophysics;
  • Astrophysics - Instrumentation and Methods for Astrophysics;
  • Mathematics - Numerical Analysis;
  • Nonlinear Sciences - Chaotic Dynamics;
  • Physics - Computational Physics
E-Print:
Accepted by MNRAS, 13 pages, 4 figures, source code and tutorials available at http://github.com/hannorein/rebound
full text sources
OUP
Preprint
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