Study impurity blobs with a two-dimensional C++ code written with the FELTOR library, simulations managed with simplesimdb and data-analysis written in python in jupyter-notebooks.
In order to locally generate the simulation data you will need to download the
Feltor code repository. Follow the
quick-start guide to install also all dependencies. It is recommended to keep
Feltor and this repository next to each other. If you prefer not to, you need
to set the FELTOR_PATH environment variable in order for Makefile
to compile. Per default it will try to compile for GPUs though so you may want
to try
cd impurities
make device=omp # compile for OpenMP backendThere is a Latex file documenting the C++ code. Compile with
cd impurities
pdflatex --shell-escape impurities.texThere are two jupyter notebooks first-plot.ipynb and data-analysis.ipynb
and the python script generate-data.py.
The first notebook is intended to explore a locally run simulation in a short amount of time.
There are no data dependencies.
The second notebook requires to generate all simulation data with the generate-data.py script.
The latter is intended to be executed on a computing cluster.
The data that the simulation generates is too large to host alongside the
notebooks so unfortunately you will not be able to run the data-analysis.ipynb notebook
"out of the box". You will have to download and run this repository and its dependencies
described above locally on your machine /on a compute cluster in order to reproduce the data.
Once the data is available locally, the data-analysis.ipynb notebook can be executed.
Matthias Wiesenberger