Higgs and Effective Field Theory HEFT 2023

Session

Tuesday AM1

20 Jun 2023, 09:00

Manchester

Conveners

Tuesday AM1

• Jim Talbert

2. HEFT vs. SMEFT in particular UV models

Duarte Fontes

20/06/2023, 09:00

Although LHC physics can be parametrized in a general and consistent way using an effective field theory (EFT) framework, two different approaches have been advocated in the literature: the Higgs EFT (HEFT) and the Standard Model EFT (SMEFT). In this talk, I compare the two alternatives in the context of particular models. Specifically, I consider the singlet extension of the Standard Model as...

17. SMEFT corrections to the DGLAP equations

Manuel Morales

20/06/2023, 09:30

The DGLAP equations describe how parton distribution functions evolve between different energy scales. In this talk, I will discuss how potential effects of New Physics, parametrised in terms of higher dimensional operators in the Standard Model Effective Field Theory, could affect these equations. We assess the importance of these operators in the calculation of the splitting functions, and...

4. Statistically optimal observables for global SMEFT fits

Jaco ter Hoeve (Nikhef and VU Amsterdam)

20/06/2023, 09:50

Theoretical interpretations of particle physics data, such as the determination of the Wilson coefficients of the Standard Model Effective Field Theory (SMEFT), often involve the inference of multiple parameters from a global dataset. Optimising such interpretations requires the identification of observables that exhibit the highest possible sensitivity to the underlying theory parameters....

7. SMEFiT: a flexible toolbox for global interpretations of particle physics data with effective field theories

Tommaso Giani

20/06/2023, 10:10

The Standard Model Effective Field Theory (SMEFT) provides a robust framework to interpret experimental measurements in the context of new physics scenarios while minimising assumptions on the nature of the underlying UV-complete theory. We present the Python open source SMEFiT framework, designed to carry out parameter inference in the SMEFT within a global analysis of particle physics data....