SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

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

In: Monthly Notices of the Royal Astronomical Society, Vol. 505, No. 1, 30.04.2021, p. 1053-1070.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wang, Y-H, Leigh, NWC, Liu, B & Perna, R 2021, 'SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics', Monthly Notices of the Royal Astronomical Society, vol. 505, no. 1, pp. 1053-1070. https://doi.org/10.1093/mnras/stab1189

APA

Wang, Y-H., Leigh, N. W. C., Liu, B., & Perna, R. (2021). SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics. Monthly Notices of the Royal Astronomical Society, 505(1), 1053-1070. https://doi.org/10.1093/mnras/stab1189

Vancouver

Wang Y-H, Leigh NWC, Liu B, Perna R. SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics. Monthly Notices of the Royal Astronomical Society. 2021 Apr 30;505(1):1053-1070. https://doi.org/10.1093/mnras/stab1189

Author

Wang, Yi-Han ; Leigh, Nathan W. C. ; Liu, Bin ; Perna, Rosalba. / SpaceHub : A high-performance gravity integration toolkit for few-body problems in astrophysics. In: Monthly Notices of the Royal Astronomical Society. 2021 ; Vol. 505, No. 1. pp. 1053-1070.

Bibtex

@article{687db888ee42418a8324303613dd46b2,
title = "SpaceHub: A high-performance gravity integration toolkit for few-body problems in astrophysics",
abstract = "We present the open source few-body gravity integration toolkit SpaceHub. SpaceHub offers a variety of algorithmic methods, including the unique algorithms AR-Radau, AR-Sym6, AR-ABITS, and AR-chain(+) which we show outperform 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 eccentric orbits and close approaches in long-term integrations. AR-ABITS, a bit efficient arbitrary precision method, achieves any precision with the least CPU cost compared to other open source arbitrary precision few-body codes. With the implementation of deep numerical and code optimization, these new algorithms in SpaceHub prove superior to other popular high precision few-body codes in terms of performance, accuracy, and speed.",
keywords = "gravitation, methods: numerical, stars: kinematics and dynamics, planetary systems, ALGORITHMIC REGULARIZATION, BINARY MERGERS, BLACK-HOLE, SYSTEMS, ORDER",
author = "Yi-Han Wang and Leigh, {Nathan W. C.} and Bin Liu and Rosalba Perna",
year = "2021",
month = apr,
day = "30",
doi = "10.1093/mnras/stab1189",
language = "English",
volume = "505",
pages = "1053--1070",
journal = "Royal Astronomical Society. Monthly Notices",
issn = "0035-8711",
publisher = "Oxford University Press",
number = "1",

}

RIS

TY - JOUR

T1 - SpaceHub

T2 - A high-performance gravity integration toolkit for few-body problems in astrophysics

AU - Wang, Yi-Han

AU - Leigh, Nathan W. C.

AU - Liu, Bin

AU - Perna, Rosalba

PY - 2021/4/30

Y1 - 2021/4/30

N2 - We present the open source few-body gravity integration toolkit SpaceHub. SpaceHub offers a variety of algorithmic methods, including the unique algorithms AR-Radau, AR-Sym6, AR-ABITS, and AR-chain(+) which we show outperform 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 eccentric orbits and close approaches in long-term integrations. AR-ABITS, a bit efficient arbitrary precision method, achieves any precision with the least CPU cost compared to other open source arbitrary precision few-body codes. With the implementation of deep numerical and code optimization, these new algorithms in SpaceHub prove superior to other popular high precision few-body codes in terms of performance, accuracy, and speed.

AB - We present the open source few-body gravity integration toolkit SpaceHub. SpaceHub offers a variety of algorithmic methods, including the unique algorithms AR-Radau, AR-Sym6, AR-ABITS, and AR-chain(+) which we show outperform 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 eccentric orbits and close approaches in long-term integrations. AR-ABITS, a bit efficient arbitrary precision method, achieves any precision with the least CPU cost compared to other open source arbitrary precision few-body codes. With the implementation of deep numerical and code optimization, these new algorithms in SpaceHub prove superior to other popular high precision few-body codes in terms of performance, accuracy, and speed.

KW - gravitation

KW - methods: numerical

KW - stars: kinematics and dynamics

KW - planetary systems

KW - ALGORITHMIC REGULARIZATION

KW - BINARY MERGERS

KW - BLACK-HOLE

KW - SYSTEMS

KW - ORDER

U2 - 10.1093/mnras/stab1189

DO - 10.1093/mnras/stab1189

M3 - Journal article

VL - 505

SP - 1053

EP - 1070

JO - Royal Astronomical Society. Monthly Notices

JF - Royal Astronomical Society. Monthly Notices

SN - 0035-8711

IS - 1

ER -

ID: 276326810