activity
20162026
most citedPost-Newtonian dynamical modeling of supermassive black holes in galactic-scale simulations

79 citations · 820 across the 41 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2026

Tracing small-scale structure formation through cosmic time with strong gravitational lensing: A case for a next-generation sub-millimetre/millimetre interferometer

Hannah R. Stacey, John P. McKean, Mamta Pandey-Pommier +12

The nature of dark matter and the growth of supermassive black holes (SMBHs) remain major open questions in modern astrophysics. Both leave a key signature in an overlapping, large…

astro-ph.IM2023★ 25 cited

KETJU -- resolving small-scale supermassive black hole dynamics in GADGET-4

Matias Mannerkoski, Alexander Rawlings, Peter H. Johansson +5

We present the new public version of the KETJU supermassive black hole (SMBH) dynamics module, as implemented into GADGET-4. KETJU adds a small region around each SMBH where the dy…

astro-ph.IM2022★ 24 cited

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

Antti Rantala, Thorsten Naab, Francesco Paolo Rizzuto +3

We present BIFROST, an extended version of the GPU-accelerated hierarchical fourth-order forward symplectic integrator code FROST. BIFROST (BInaries in FROST) can efficiently evolv…

astro-ph.IM2020★ 28 cited

FROST: a momentum-conserving CUDA implementation of a hierarchical fourth-order forward symplectic integrator

Antti Rantala, Thorsten Naab, Volker Springel

We present a novel hierarchical formulation of the fourth-order forward symplectic integrator and its numerical implementation in the GPU-accelerated direct-summation N-body code F…

astro-ph.IM2020★ 49 cited

MSTAR -- a fast parallelised algorithmically regularised integrator with minimum spanning tree coordinates

Antti Rantala, Pauli Pihajoki, Matias Mannerkoski +2

We present the novel algorithmically regularised integration method MSTAR for high accuracy () integrations of N-body systems using minimum spanning tree c…