# ORB5: a global electromagnetic gyrokinetic code using the PIC approach   in toroidal geometry

**Authors:** E. Lanti, N. Ohana, N. Tronko, T. Hayward-Schneider, A. Bottino, B. F., McMillan, A. Mishchenko, A. Scheinberg, A. Biancalani, P. Angelino, S., Brunner, J. Dominski, P. Donnel, C. Gheller, R. Hatzky, A. Jocksch, S., Jolliet, Z.X. Lu, J. P. Martin Collar, I. Novikau, E. Sonnendr\"ucker, T., Vernay, L. Villard

arXiv: 1905.01906 · 2020-04-22

## TL;DR

The paper updates the ORB5 electromagnetic gyrokinetic code, highlighting its capabilities to simulate plasma behavior in toroidal geometry using PIC methods, with improved noise reduction, scalability, and benchmarking.

## Contribution

It introduces new features and improvements in the ORB5 code, including collision modeling, noise reduction techniques, and GPU support, enhancing simulation accuracy and efficiency.

## Key findings

- Code accurately models electromagnetic plasma dynamics.
- Demonstrates good scalability on high-performance computing systems.
- Benchmarked successfully against other codes and analytical results.

## Abstract

This paper presents the current state of the global gyrokinetic code ORB5 as an update of the previous reference [Jolliet et al., Comp. Phys. Commun. 177 409 (2007)]. The ORB5 code solves the electromagnetic Vlasov-Maxwell system of equations using a PIC scheme and also includes collisions and strong flows. The code assumes multiple gyrokinetic ion species at all wavelengths for the polarization density and drift-kinetic electrons. Variants of the physical model can be selected for electrons such as assuming an adiabatic response or a ``hybrid'' model in which passing electrons are assumed adiabatic and trapped electrons are drift-kinetic. A Fourier filter as well as various control variates and noise reduction techniques enable simulations with good signal-to-noise ratios at a limited numerical cost. They are completed with different momentum and zonal flow-conserving heat sources allowing for temperature-gradient and flux-driven simulations. The code, which runs on both CPUs and GPUs, is well benchmarked against other similar codes and analytical predictions, and shows good scalability up to thousands of nodes.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1905.01906/full.md

## References

86 references — full list in the complete paper: https://tomesphere.com/paper/1905.01906/full.md

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Source: https://tomesphere.com/paper/1905.01906