============= serpent-tools

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.. image:: https://zenodo.org/badge/DOI/10.1080/00295639.2020.1723992.svg :target: https://doi.org/10.1080/00295639.2020.1723992 :alt: Nuclear Science and Engineering 10.1080/00295639.2020.1723992

A suite of parsers designed to make interacting with SERPENT [1]_ output files simple and flawless.

The SERPENT Monte Carlo code is developed by VTT Technical Research Centre of Finland, Ltd. More information, including distribution and licensing of SERPENT can be found at <http://montecarlo.vtt.fi>_

Installation

serpentTools can be installed with pip using::

$ python -m pip install --user --upgrade pip serpentTools

For more detailed instructions, including operating-system specific instructions and building from source, see Installation Guide <http://serpent-tools.readthedocs.io/en/latest/install.html>_.

Issues

If you have issues installing the project, find a bug, or want to add a feature, the GitHub issue page <https://github.com/CORE-GATECH-GROUP/serpent-tools/issues>_ is the best place to do that.

Support

The development of serpentTools is supported by the following organizations:

• USNC-Tech <https://usnc.com/space>_

References

The Annals of Nuclear Energy article should be cited for all work using SERPENT. If you are using this project, please considering citing with

• Andrew Johnson, Dan Kotlyar, Stefano Terlizzi, and Gavin Ridley, "serpentTools: A Python Package for Expediting Analysis with Serpent <https://doi.org/10.1080/00295639.2020.1723992>_," Nuc. Sci. Eng, (2020).

Also, let us know if you publish work using this package! We try and keep an up-to-date list of works using serpentTools [2]_, and would be happy to include more.

.. [1] Leppanen, J. et al. (2015) "The Serpent Monte Carlo code: Status, development and applications in 2013." Ann. Nucl. Energy, 82 (2015) 142-150 <http://www.sciencedirect.com/science/article/pii/S0306454914004095>_

.. [2] https://serpent-tools.readthedocs.io/en/latest/publications.html