PyMCNP supports running Monte Carlo N-Particle (MCNP) simulations. It parses MCNP files, enabling automation such as parameter scans, creates MCNP geometry visualization using cadquery, and can run MCNP in parallel across multiple machines (including support for clusters). PyMCNP provides a Python API for MCNP input and output files and a command line interface for interacting with MCNP and MCNP files.
Find more information on ReadTheDocs.
PyMCNP is available on PyPI and can be pip installed.
pip install pymcnp
PyMCNP source code is accessable for contributions, suggestions, and bug reports on GitHub. The following command downloads PyMCNP source code and installs pymcnp and its dependencies in editable mode:
git clone https://github.com/FSIBT/PyMCNP
cd PyMCNP
pip install -e .
If you plan to contribute, you should also enable pre-commit:
pip install pre-commit
# cd into repo
pre-commit install
from within the top level directory in the git repository.
To run the PyMCNP test suite, after clone the PyMCNP GitHub repository, use the following commands to install Pytest (Docs) inside the PyMCNP directory:
pip install pytest
After instaling pytest, test the pymcnp package by calling the following commands inside the PyMCNP directory:
cd PyMCNP
python -m pytest
To regenerate the autogenerated files in files/inp/cell_option, files/inp/data, and files/inp/surfaces, run the following Python scripts:
parallel python3 {} ::: scripts/build_cell_options.py scripts/build_surfaces.py scripts/build_data.py
For copyright and license infromation, see the COPYRIGHT and LICENSE files in the top level directory.