SDAR: Slow-Down Algorithmic Regularization code for solving few-body problems

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Ada Coda
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SDAR: Slow-Down Algorithmic Regularization code for solving few-body problems

Post by Ada Coda » Wed Feb 26, 2020 3:17 am

SDAR: Slow-Down Algorithmic Regularization code for solving few-body problems

Abstract: 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, <i>e.g.</i> 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.

Credit: Wang, Long; Nitadori, Keigo; Makino, Junichiro

Site: https://github.com/lwang-astro/SDAR
https://ui.adsabs.harvard.edu/abs/2020MNRAS.tmp..452W

Bibcode: 2020ascl.soft02001W

ID: ascl:2002.001

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