smelli -- the SMEFT Likelihood
High Energy Physics - Phenomenology
2020-12-23 v1
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.
Cite
@article{arxiv.2012.12211,
title = {smelli -- the SMEFT Likelihood},
author = {Peter Stangl},
journal= {arXiv preprint arXiv:2012.12211},
year = {2020}
}
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