Orateur
Nathan Huetsch
(Heidelberg University)
Description
The matrix element method remains a crucial tool for LHC inference in scenarios with limited event data. We enhance our neural network-based framework, now dubbed MEMENNTO, by optimizing phase-space integration techniques and introducing an acceptance function. Additionally, employing new architectures, like transformer and diffusion models, allows us to better handle complex jet combinatorics associated with initial-state radiation (ISR). These improvements are showcased again through the CP-violating phase of the top Yukawa coupling in associated Higgs and single-top production, underlining the enhanced capabilities of our revised approach.
Auteurs principaux
Anja Butter
(LPNHE)
Nathan Huetsch
(Heidelberg University)
Ramon Winterhalder
(UC Louvain)
Theo Heimel
(Heidelberg University)
Tilman Plehn
(Heidelberg University)
