Precision-machine learning for the matrix element method

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...

Full description

Bibliographic Details
Main Author: Theo Heimel, Nathan Huetsch, Ramon Winterhalder, Tilman Plehn, Anja Butter
Format: Article
Language:English
Published: SciPost 2024-11-01
Series:SciPost Physics
Online Access:https://scipost.org/SciPostPhys.17.5.129