Effective field theories (EFTs) are a powerful tool for the exploration of potential new physics in a model-independent way. At a time when there is a lack of clarity on how to extend the Standard Model, the Standard Model effective field theory (SMEFT) and related EFTs have been receiving an increasing amount of attention. For example, the number of SMEFT operators, up to high mass...
I will present the Mathematica package - CoDEx that integrates out heavy fields of spin-0, 1/2, 1 and computes SMEFT effective operators up to mass dimension-6 and associated Wilson coefficients upto 1-loop-level in terms of the model parameters. The computation of Wilson coefficients is based on the evaluation of effective action formulae. I will discuss model implementation in CoDEx,...
I will report on recent developments concerning the Python package smelli, which implements a global likelihood function in the space of dimension-six Wilson coefficients in the Standard Model Effective Field Theory and the Weak Effective Theory above and below the electroweak scale, respectively. This likelihood can serve as a basis either for model-independent fits or for testing dynamical models.
I will review the status and prospects for the implementation of SMEFT operators in UFO models for MadGraph5_aMC@NLO.
Some recent developments in the SMEFT using the geoSMEFT formulation of this theory
We shall present the motivation, as well as the current status of our calculation of Renormalization Group Equations (RGEs) in generic Effective Field Theories (EFTs) up to operators of dimension six.
I discuss how renormalization group equations can be consistently established for chiral theories in the BMHV dimensional renormalization scheme, where the BRST symmetry has been restored with finite counterterms, by using notions from Algebraic Renormalization.
I will discuss an Effective Field Theory parametrisation of Lepton Flavour Violation (LFV). I will present a bottom-up analysis of LFV observables in WET and SMEFT, and I will discuss the challenges that the SMEFT calculations present.
𝙷𝙴𝙿𝚏𝚒𝚝 is a flexible open-source tool which, given the Standard Model or any of its extensions, allows to i) fit the model parameters to a given set of experimental observables; ii) obtain predictions for observables. 𝙷𝙴𝙿𝚏𝚒𝚝 can be used either in Monte Carlo mode, to perform a Bayesian Markov Chain Monte Carlo analysis of a given model, or as a library, to obtain predictions of observables for...
