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A flexible, multi-purpose, single-zone nuclear reaction network.

Disclaimer

This is my fork of the Network. I will keep of my updates on top of the commit tree by rebasing them anytime there is an upstream update. Therefor it might happen that the remote repository and your local version diverge and you might have to pull with --force.

Documentation

See WinNet-documentation for documentation and further information.

Literature

ApJS arXiv DOI ascl:2406.029

Please read and cite Reichert et al. 2023 when you use this reaction network in a publication. Furthermore give credit to the data that you are using (reaction rates, thermodynamic conditions, equation of state, etc.). For this you can be guided by the example cases that contain the relevant literature in the header of their parameter files in the par/ folder. Additionally, the Readme in the data/ folder contains relevant information about the references of input files. The origin of the thermodynamic trajectories is given in the list of examples when running python makerun.py --example or in the Readme of the data folders of the examples (e.g., Readme).

License

WinNet is available as open source under the terms of the revised BSD 3-Clause License. See the LICENSE file for more details.

Acknowledgments

This work makes use of the following packages:

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  • Fortran 72.2%
  • Python 26.7%
  • Other 1.1%