A Global Likelihood for Precision Constraints and Flavour Anomalies

TL;DR

This paper introduces a comprehensive likelihood function for constraining dimension-six Wilson coefficients in SMEFT, integrating diverse precision measurements to facilitate model-independent analyses and address B physics anomalies.

Contribution

It provides a publicly available Python package implementing a global likelihood for SMEFT Wilson coefficients, combining 265 observables and automatic scale running, enabling advanced model testing.

Findings

Reproduces key results from EFT and model building literature.

Enables global fits of SMEFT parameters with diverse experimental data.

Supports testing models addressing B physics anomalies.

Abstract

We present 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 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 -> {\pi}{\pi}, 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.