APEC Seminar (Astronomy - Particle Physics - Experimental Physics - Cosmology)

Speaker: Jin Min Yang (ITP, Beijing )
Title: Graph neural network for stop pair and htt productions at the LHC
Date (JST): Fri, Jan 18, 2019, 13:30 - 14:30
Place: Seminar Room A
Related File: 2237.pdf
Abstract: We propose to represent events as graphs and use the message passing neutral network to search for the stop pair production and Higgs-top-antitop production at the LHC. We find that the signal and background events can be efficiently discriminated by the patterns of event graphs. Such an approach can thus improve the current LHC sensitivity for the stops and helps to reveal the CP nature of the top-Higgs interaction.