A global likelihood for precision constraints and flavour anomalies

By Jason Aebischer, Jacky Kumar, P. Stangl, David M. Straub. The European Physical Journal C, 2018

179 citations recorded by the source corpus.

We present a global likelihood function in the space of dimension-six Wilson coefficients in the Standard Model Effective Field Theory. The likelihood includes contributions from flavour-changing neutral current B decays, lepton flavour universality tests in charged- and neutral-current B and K decays, meson-antimeson mixing observables in the K, B, and D systems, direct CP violation in K→ππ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$K\rightarrow \pi \pi $$\end{document}, charged lepton flavour violating B, tau, and muon decays, electroweak precision tests on the Z and W poles, the anomalous magnetic moments of the electron, muon, and tau, and several other precision observables, 265 in total. The Wilson coefficients can be specified at any scale, with the one-loop running above and below the electroweak scale automatically taken care of. The implementation of the likelihood function is based on the open source tools flavio and wilson as well as the open Wilson coefficient exchange format (WCxf) and can be installed as a Python package. It can serve as a basis either for model-independent fits or for testing dynamical models, in particular models built to address the anomalies in B physics. We discuss a number of example applications, reproducing results from the EFT and model building literature.

Subfields: Artificial Intelligence, Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/0cba6d13d5a5e832aa02431e3955b9211538f1c5

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B-decay discrepancies after Moriond 2019 (2019, methodology): “ that EW symmetry breaking is approximately linear (see e.g. [61]). This allows us to correlate NP eects in b!s‘‘model-independently with other sectors like EW precision tests or b!ctransitions (cf. [47,62{64]). 3.1. b!s‘‘observables in the WET We start by investigating the constraints on NP contrib”