A particle-in-cell code for GPGPUs

PIConGPU is a fully relativistic, many GPGPU, 3D3V particle-in-cell (PIC) code. The Particle-in-Cell algorithm is a central tool in plasma physics. It describes the dynamics of a plasma by computing the motion of electrons and ions in the plasma based on Maxwell’s equations.

How to Read This Document

Generally, you want to follow those pages in-order to get started. Individual chapters are based on the information of the chapters before.

In case you are already fluent in compiling C++ projects and HPC, running PIC simulations or scientific data analysis feel free to jump the respective sections.

Attention

This documentation is just getting started. Learn more about how to improve it here and please contribute via pull requests! :-)

Note

We also have a wiki and a general official homepage

Installation

INSTALLATION

• Installation
• Compiling from Source
• Dependencies
• picongpu.profile

Usage

USAGE

• Reference
• Basics
• .param Files
• Particles
• Plugins
• TBG
• Example Setups
• Workflows

Models

MODELS

• The Particle-in-Cell Algorithm
• Landau-Lifschitz Radiation Reaction
• Ionization
• Photons

Post-Processing

Post-Processing

• Python
  • Numpy
  • Matplotlib
  • Jupyter
  • openPMD-viewer
  • yt-project (dev)
  • pyDive (experimental)
• openPMD
• ParaView

Development

DEVELOPMENT

• How to Participate as a Developer
• Sphinx
• Important PIConGPU Classes
• Important PMacc Classes
• Index of Doxygen Documentation