smelli -- the SMEFT Likelihood

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.

Comments: 17 pages, 1 figure. To be published in the proceedings of "Tools for High Energy Physics and Cosmology - TOOLS2020", Lyon, France. Repository at https://github.com/smelli/smelli