Pyee solves the frequency domain Maxwell equations in a planar or axisymmetric domain using either a mixed element FEM formulation or a FD Yee discretization scheme. The new FEM solver is implemented through the parallel FEniCS/dolfinx libary and modern direct linear PETSc solvers. Both the assembly and solver steps are parallelized
The medium is characterized by a general complex dielectric tensor. The current version supports rectangular and uniform meshes with arbitrary integer azimuthal mode expansions in the axissymetric mode and metallic walls (PEC) boundary conditions. The code was developed for simulations of the electromagnetic wave propagation through magnetized cold plasmas and thus includes additional functions for this analysis
NOTE: Remember to export your $PYEE enviroment variable For example if the folder is located at the user folder and bash is used as terminal:
echo 'export PYEE=$HOME/pyee' >> $HOME/.bashrc
The only current installation option is using containers until DOLFINx hits a stable version
The FEM module contains a considerable number of dependencies and precompiled libraries. Containers are a great option for an easy installation of the code and reproductability across different machines and architectures. You will need to install the Docker engine https://docs.docker.com/engine/install/ (needs sudo permissions) and make sure to follow the post-installation steps to 'Manage Docker as a non-root user' and test docker
sudo groupadd docker
sudo usermod -aG docker $USER
newgrp docker
docker run hello-world
Future versions will include the experimental Docker rootless installation https://docs.docker.com/engine/security/rootless/
Download the public ep2lab\pyee image from Docker Hub and run the installation script (this will only match your user and group IDs inside the image so you can modify outputs files with user permissions later:
docker pull ep2lab/pyee:latest
cd docker
./install.sh
Now you have 2 options. You can forget about the container and run the specialized script that will mount the filesystem and manage the container under the hood (see next section). Or you can work inside a container:
docker run -ti ep2lab/pyee:latest
This is often useful for development and debugging or necessary if you are running certain OS (for example windows). You can get familiar with many Docker commands taking a look at the cheatsheet included in the docs/ folder. Find more information about building images at https://hub.docker.com/r/ep2lab/pyee
NOTE: Using the script pyee_docker.sh will mount the source code from $PYEE folder. Working inside the container will execute the code delivered at the time the image was pushed to Docker Hub (unless you mount a file system manually)
All setup parameters and postprocessing calls are provided in the case folder cases/<<case_name>>
The simulation configuration is given in the simrc.yml file. This also provides solver (FEM or FD) and controls the main simulation parameters
The current density and dielectric tensor can be given by an optional python script (named config_sim.py) inside each case folder or as simple functions in simrc.yml. The preprocessor can compute the dielectric tensor from plasma density and collisionality profiles + the background magnetic field topology. You can pass additional user defined arguments in simrc.yml that can be access in config_sim.py through the internal data dictionary! This is very useful for quick configuration changes and parametric analysis
Several postprocessing functions, such as plotting and diagnostic utilities, are provided in the post.py module. These functions can be called in post_script.py included in each case folder cases/<<case_name>>. The post_script.py is optional and automatically detected by the code
There is also an option in simrc.yml to export the electric and magnetic fields and other relevant data such as the power profile and the computation time and outputs a file in the .h5 format (default result.h5) without using any post_script.py
Examples are provided in the cases/ folder. To run via terminal do:
./pyee.sh <<case_name>> <<mode>>
To run the code via a preinstalled container simply use:
./pyee_docker.sh <<case_name>> <<mode>>
The available modes keywords are:
default -> runs preprocessing and solver
solve_pre -> loads 'preproc.pkl' and solves. This overwrittes all the setups in 'simrc.yml' except the 'general' section
hyphen -> runs HYPHEN wrapper pre and post functions
Inside Python or IPython:
data, solution = run_pyee.sim('<<case_name>>', mode = <<mode>>, **user_data)
This also outputs the preprocessing and solution data structures. user_data is an optional dictionary that overwrittes simrc.yml fields
Inside the tools/ folder, there is a whole matlabPost MATLAB set of functions meant for postprocessing and plotting but also capable of calling the PYEE module for execution (experimental, not documented)
The antenna.py function computes the current density for typical antenna setups. Currently only the helix family of antennas is available. The antenna configuration is given in the dictionary antenna_data and the azimuthal mode for the simulation must be provided:
import tools.antenna as antenna
antenna.helix(data, antenna_data, mode)
The code can also run parametric studies modifying some configuration parameters. Look at run_parametric.py and tools/parametric.py to learn how