MatchingTools: A Python library for symbolic effective field theory calculations

Published: 19 Mar 2018 | Version 1 | DOI: 10.17632/fpwxjg349h.1

Description of this data

MatchingTools is a Python library for doing symbolic calculations in effective field theory. It provides the tools to construct general models by defining their field content and their interaction Lagrangian. Once a model is given, the heavy particles can be integrated out at the tree level to obtain an effective Lagrangian in which only the light particles appear. After integration, some of the terms of the resulting Lagrangian might not be independent. MatchingTools contains functions for transforming these terms to rewrite them in terms of any chosen set of operators.

Experiment data files

peer reviewed

This data is associated with the following peer reviewed publication:

MatchingTools: A Python library for symbolic effective field theory calculations

Published in: Computer Physics Communications

Latest version

  • Version 1


    Published: 2018-03-19

    DOI: 10.17632/fpwxjg349h.1

    Cite this dataset

    Criado, Juan C. (2018), “MatchingTools: A Python library for symbolic effective field theory calculations”, Mendeley Data, v1


Computational Physics

Mendeley Library

Organise your research assets using Mendeley Library. Add to Mendeley Library


MIT Learn more

The files associated with this dataset are licensed under a MIT License licence.

What does this mean?

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.