Speaker
Dr
Jeong Han Kim
(University of Notre Dame)
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 an entire final state using charged/neutral hadron, lepton, and reconstructed neutrino images. We design various types of residual neural networks (ResNet), which efficiently exploit the correlations among the images, to disentangle the Di-Higgs images of anomalous Higgs self-coupling against 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 theory (EFT) framework.
Authors
Myeonghun Park
(Institute for basic Science (KR))
K.C. Kong
(University of Kansas)
Konstantin Matchev
(University of Florida (US))
Mr
Minho Kim
(POSTECH)
Dr
Jeong Han Kim
(University of Notre Dame)
