Binary discrimination through next-to-leading order

Abstract Binary discrimination between well-defined signal and background datasets is a problem of fundamental importance in particle physics. With detailed event simulation and the advent of extensive deep learning tools, identification of the likelihood ratio has typically been reserved as a compu...

Full description

Bibliographic Details
Main Author: Andrew J. Larkoski
Format: Article
Language:English
Published: SpringerOpen 2024-03-01
Series:Journal of High Energy Physics
Subjects:
Online Access:https://doi.org/10.1007/JHEP03(2024)057