SMEFiT

SMEFiT is a Python program for Standard Model Effective Field Theory (EFT) fits. It provides a flexible toolbox for global interpretations of particle physics data with effective field theories.

The code supports two fitting strategies:

• Nested Sampling for full Bayesian fits
• Analytic method for linear fits

SMEFiT can be installed via pip (pip install smefit) or from source for development.

Citation:

@article{Giani:2023gfq,
    author = "Giani, Tommaso and Magni, Giacomo and Rojo, Juan",
    title = "{SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories}",
    eprint = "2302.06660",
    archivePrefix = "arXiv",
    primaryClass = "hep-ph",
    reportNumber = "Nikhef-2022-023",
    month = "2",
    year = "2023"
}

Languages: Python (98.8%)

License: GPL-3.0