학술논문
The MadNIS Reloaded
Document Type
Working Paper
Author
Source
SciPost Phys. 17, 023 (2024)
Subject
Language
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.
Comment: 15 pages, 6 figures, 2 tables; v3: updates incl. referee requests
Comment: 15 pages, 6 figures, 2 tables; v3: updates incl. referee requests