Probing stop pair production at the LHC with graph neural networks

Probing stop pair production at the LHC with graph neural networks

Abstract Top-squarks (stops) play a crucial role for the naturalness of supersymmetry (SUSY). However, searching for the stops is a tough task at the LHC. To dig the stops out of the huge LHC data, various expert-constructed kinematic variables or cutting-edge analysis techniques have been invented....

Full description

Bibliographic Details
Main Authors: Murat Abdughani, Jie Ren, Lei Wu, Jin Min Yang
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:Journal of High Energy Physics
Subjects:
Supersymmetry Phenomenology
Online Access:http://link.springer.com/article/10.1007/JHEP08(2019)055

Internet

http://link.springer.com/article/10.1007/JHEP08(2019)055

Similar Items