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[ascl:2002.001] SDAR: Slow-Down Algorithmic Regularization code for solving few-body problems

SDAR (Slow-Down Algorithmic Regularization) simulates the long-term evolution of few-body systems such as binaries and triples. The algorithm used provides a few orders of magnitude faster performance than the classical N-body method. The secular evolution of hierarchical systems, e.g. Kozai-Lidov oscillation, can be well reproduced. The code is written in the C++ language and can be used either as a stand-alone tool or a library to be plugged in other N-body codes. The high precision of the floating point to 62 digits is also supported.

Code site:
https://github.com/lwang-astro/SDAR
Described in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.tmp..452W
Bibcode:
2020ascl.soft02001W

Views: 533

ascl:2002.001
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