SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics
Yi-Han Wang, Nathan Leigh, Bin Liu, Rosalba Perna

TL;DR
SpaceHub is an open-source toolkit offering advanced algorithms for high-precision, fast, and accurate simulations of complex astrophysical few-body systems, outperforming existing methods in speed and accuracy.
Contribution
Introduction of novel algorithms AR-Radau, AR-Sym6, AR-ABITS, and AR-chain+ that outperform existing methods in precision and speed for astrophysical few-body problems.
Findings
AR-Sym6 and AR-chain+ are fastest and most accurate for black hole dynamics.
AR-Radau handles extremely eccentric orbits with high precision.
AR-ABITS achieves arbitrary precision with minimal CPU cost.
Abstract
We present the open source few-body gravity integration toolkit {\tt SpaceHub}. {\tt SpaceHub} offers a variety of algorithmic methods, including the unique algorithms AR-Radau, AR-Sym6, AR-ABITS and AR-chain which we show out-perform other methods in the literature and allow for fast, precise and accurate computations to deal with few-body problems ranging from interacting black holes to planetary dynamics. We show that AR-Sym6 and AR-chain, with algorithmic regularization, chain algorithm, active round-off error compensation and a symplectic kernel implementation, are the fastest and most accurate algorithms to treat black hole dynamics with extreme mass ratios, extreme eccentricities and very close encounters. AR-Radau, the first regularized Radau integrator with round off error control down to 64 bits floating point machine precision, has the ability to handle extremely…
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