Speaker
Description
Effective field theories (EFTs) gained a lot of popularity in the HEP community in recent years, as they provide a powerful approach to indirect searches for heavy physics beyond the Standard Model at current collider energies. Constraining the free parameters of EFTs is usually only possible by combining measurements of multiple observables. However, combining measurements on likelihood-level is a non-trivial task and typically not feasible outside the respective experimental collaborations.
The EFTfitter.jl package offers a user-friendly interface and an easy-to-interpret statistical approach to combine (possibly correlated) measurements of different observables by constructing a common likelihood assuming Gaussian measurements. By interfacing to the Bayesian Analysis Toolkit (BAT.jl) it is possible to perform Bayesian inference to constrain underlying model parameters, such as the Wilson coefficients of EFTs. Although the methods used in EFTfitter.jl are particularly well suited for global EFT interpretations, the statistical principles and features of the tool are by no means limited to this type of application.
In this talk, the EFTfitter.jl package is introduced and its statistical approach, features, and user interface are presented. Examples for the application of the tool in HEP are shown.
