Evolution Kernel Operators
Project description
EKO is a Python module to solve the DGLAP equations in N-space in terms of Evolution Kernel Operators in x-space.
Installation
EKO is available via
- PyPI:
pip install eko
- conda-forge:
conda install eko
Development
If you want to install from source you can run
git clone git@github.com:N3PDF/eko.git
cd eko
poetry install
To setup poetry, and other tools, see Contribution
Guidelines.
Documentation
- The documentation is available here:
- To build the documentation from source install graphviz and run in addition to the installation commands
poe docs
Tests and benchmarks
- To run unit test you can do
poe tests
- Benchmarks of specific part of the code, such as the strong coupling or msbar masses running, are available doing
poe bench
- The complete list of benchmarks with external codes is available through
ekomark: documentation
Citation policy
When using our code please cite
- our DOI:
- our paper:
Contributing
- Your feedback is welcome! If you want to report a (possible) bug or want to ask for a new feature, please raise an issue:
- If you need help, for installation, usage, or anything related, feel free to open a new discussion in the "Support" section
- Please follow our Code of Conduct and read the Contribution Guidelines
Release history Release notifications | RSS feed
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