Automated matching of general models onto general effective field theories
Project description
MatchMaker
Automated tree-level and one-loop matching of general models onto general effective field theories
Contributors
- Adrián Carmona (University of Granada)
- Achilleas Lazopoulos (ETH Zürich)
- Pablo Olgoso (University of Granada)
- Jose Santiago (University of Granada)
Installation
Matchmakereft is available both on the PyPI Python Package Index (PyPI) https://pypi.org/project/matchmakereft/ as well as in the Anaconda Python distribution https://anaconda.org/matchmakers/matchmakereft
Troubleshooting
We encourage users to check the troubleshooting section in the latest matchmakereft manual and the Gitlab issue tracker (https://gitlab.com/m4103/matchmaker-eft/-/issues)
License
Matchmakereft is distributed under a GNU General Public License v3.0
Citation
If you use matchmakereft please cite [SciPost Phys. 12 (2022) 6, 198] (https://scipost.org/10.21468/SciPostPhys.12.6.198) arXiv:2112.10787 (https://arxiv.org/abs/2112.10787)
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for matchmakereft-1.1.3-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 59b20c3237d927f2bfed48eaf0200778d26b9e5ec2c6212226a35f88f26b0ea6 |
|
| MD5 | f4d23fee50b5384b04f9b53cb2407e84 |
|
| BLAKE2b-256 | ae2a1f02ffd38ff067fdec9a279bf8dec4398a02cd69fe304088f05731a2114a |
