Speaker
Jeong Han Kim
(University of Kansas)
Description
We search for a hint of new physics concealed in the structure of the Standard Model (SM) via double Higgs production. Focusing on a relatively overlooked bbWW* final state, we portray the full final state by treating a detector as a camera, and the streams of jets and leptons as images. We adopt various deep neural networks (DNN), which efficiently exploit the correlations among the images, to disentangle the SM Di-Higgs images of anomalous Higgs self-coupling from the SM backgrounds. The proposed method has a potential to improve the precise measurement of the Higgs self-coupling, and has a wide applicability to disentangle the higher dimensional operators in the effective field theories (EFT).
Authors
Jeong Han Kim
(University of Kansas)
Mr
Minho Kim
(POSTECH & Seoul Natl. U.)
K.C. Kong
(University of Kansas)
Prof.
Konstantin Matchev
(University of Florida)
Prof.
Myeonghun Park
(Seoul Natl. U.)
