Speaker
Theo Heimel
(Heidelberg University)
Description
The matrix element method is the LHC inference method of choice for limited statistics. We present a dedicated machine learning framework, based on efficient phase-space integration, a learned acceptance and transfer function. It is based on a choice of INN and diffusion networks, and a transformer to solve jet combinatorics. We showcase this setup for the CP-phase of the top Yukawa coupling in associated Higgs and single-top production.
Primary authors
Anja Butter
(LPNHE, Paris)
Nathan Huetsch
(Heidelberg University)
Ramon Winterhalder
(UCLouvain)
Theo Heimel
(Heidelberg University)
Tilman Plehn
(Universität Heidelberg, ITP)
