smelli -- the SMEFT Likelihood

Peter Stangl

smelli -- the SMEFT Likelihood

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arxiv 2012.12211 v1 pith:GXFB5BHK submitted 2020-12-22 hep-ph

Peter Stangl This is my paper · ORCID

classification hep-ph

keywords likelihoodsmeftsmellicoefficientscontributionscurrentlydimension-sixeffective

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I present the Python package smelli that implements 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 a large number of flavor and other precision observables, currently 399 in total.

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