nnpdf / eko_fhmv

Evolution Kernel Operators

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 [email protected]: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