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smelli
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A global likelihood for the Standard Model Effective Field Theory
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smelli
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2026-03-01 15:26:54
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smelli | A global likelihood for the Standard Model Effective Field Theory smelli A global likelihood for the Standard Model Effective Field Theory Browse the documentation smelli – a global likelihood for precision constraints smelli is a Python package providing a global likelihood function in the space of dimension-six Wilson coefficients in the Standard Model Effective Field Theory (SMEFT). The likelihood includes contributions from quark and lepton flavour physics, electroweak precision tests, and other precision observables. The package is based on flavio for the calculation of observables and statistical treatment and wilson for the running, translation, and matching of Wilson coefficients. Installation The package requires Python version 3.5 or above. It can be installed with python3 -m pip install smelli --user Documentation A brief user manual can be found in the paper cited below. Citation If you use smelli in a scientific publication, p...
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