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.
Authors
Anja Butter
(LPNHE)
Nathan Huetsch
(Heidelberg University)
Ramon Winterhalder
(UC Louvain)
Theo Heimel
(Heidelberg University)
Tilman Plehn
(Heidelberg University)
