smelli – the SMEFT Likelihood
Publisher DOI
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.
Date Issued
2021-05-10
Publication Type
Conference Item
Subject(s)
Language(s)
en
Additional Credits
Journal
PoS - proceedings of science
Publisher
Scuola Internazionale Superiore di Studi Avanzati SISSA
ISSN
1824-8039
Title of Event
Access(Rights)
open.access