English

BIFROST: simulating compact subsystems in star clusters using a hierarchical fourth-order forward symplectic integrator code

Instrumentation and Methods for Astrophysics 2023-05-17 v2 Astrophysics of Galaxies Computational Physics

Abstract

We present BIFROST, an extended version of the GPU-accelerated hierarchical fourth-order forward symplectic integrator code FROST. BIFROST (BInaries in FROST) can efficiently evolve collisional stellar systems with arbitrary binary fractions up to fbin=100%f_\mathrm{bin}=100\% by using secular and regularised integration for binaries, triples, multiple systems or small clusters around black holes within the fourth-order forward integrator framework. Post-Newtonian (PN) terms up to order PN3.5 are included in the equations of motion of compact subsystems with optional three-body and spin-dependent terms. PN1.0 terms for interactions with black holes are computed everywhere in the simulation domain. The code has several merger criteria (gravitational-wave inspirals, tidal disruption events and stellar and compact object collisions) with the addition of relativistic recoil kicks for compact object mergers. We show that for systems with NN particles the scaling of the code remains good up to NGPU40×N/106N_\mathrm{GPU} \sim 40\times N / 10^6 GPUs and that the increasing binary fractions up to 100 per cent hardly increase the code running time (less than a factor 1.5\sim 1.5). We also validate the numerical accuracy of BIFROST by presenting a number of star clusters simulations the most extreme ones including a core collapse and a merger of two intermediate mass black holes with a relativistic recoil kick.

Keywords

Cite

@article{arxiv.2210.02472,
  title  = {BIFROST: simulating compact subsystems in star clusters using a hierarchical fourth-order forward symplectic integrator code},
  author = {Antti Rantala and Thorsten Naab and Francesco Paolo Rizzuto and Matias Mannerkoski and Christian Partmann and Kristina Lautenschütz},
  journal= {arXiv preprint arXiv:2210.02472},
  year   = {2023}
}

Comments

25 pages, 16 figures, accepted for publication in MNRAS

R2 v1 2026-06-28T02:52:48.983Z