The MadNIS reloaded

Jan 1, 2024ยท
Theo Heimel
,
Nathan Huetsch
,
Fabio Maltoni
,
Olivier Mattelaer
,
Tilman Plehn
Ramon Winterhalder
Ramon Winterhalder
ยท 0 min read
Abstract
In pursuit of precise and fast theory predictions for the LHC, we present an implementation of the MadNIS method in the MadGraph event generator. A series of improvements in MadNIS further enhance its efficiency and speed. We validate this implementation for realistic partonic processes and find significant gains from using modern machine learning in event generators.
Type
Publication
SciPost Phys.17, 023