activity
20172026
most citedA comprehensive comparison of relativistic particle integrators

99 citations · 140 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2026

Astrophysics on GPUs: introducing AGILE 1.0

Oliver Porth, Adrian Kelly, Olaf Willocx +10

We present AGILE, a GPU-enabled adaptive mesh refinement (AMR) framework for the solution of (near-) conservation laws which occur in astro- and solar-physical applications. AGILE…

physics.comp-ph2026

foap4: Adaptive mesh refinement with OpenACC/OpenMP, MPI, and p4est

Jannis Teunissen, Héctor R. Olivares Sánchez, Jesse Vos +10

GPUs and other accelerators are increasingly used for scientific computing. We want to add GPU support to existing parallel adaptive mesh refinement (AMR) codes written in Fortran.…

astro-ph.SR2025★ 1 cited

Modeling multiphase plasma in the corona: prominences and rain

Rony Keppens, Yuhao Zhou, Chun Xia

We review major achievements in our understanding of multiphase coronal plasma, where cool-dense and hot-tenuous matter coexists, brought about by advances in modeling and theory,…

astro-ph.IM2017★ 99 cited

A comprehensive comparison of relativistic particle integrators

Bart Ripperda, Fabio Bacchini, Jannis Teunissen +5

We compare relativistic particle integrators commonly used in plasma physics showing several test cases relevant for astrophysics. Three explicit particle pushers are considered, n…

astro-ph.HE2017★ 40 cited

Reconnection and particle acceleration in interacting flux ropes -- II. 3D effects on test particles in magnetically dominated plasmas

B. Ripperda, O. Porth, C. Xia +1

We analyze particle acceleration in explosive reconnection events in magnetically dominated proton-electron plasmas. Reconnection is driven by large-scale magnetic stresses in inte…