smelli – the SMEFT Likelihood
Published on:
May 10, 2021
Abstract
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.
DOI: https://doi.org/10.22323/1.392.0035
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