699 citations · 7.3k across the 286 of their papers we have counts for
4 papers · 1 filter
Higgs self-coupling measurements using deep learning in the final state
Jacob Amacker, William Balunas, Lydia Beresford +9
Measuring the Higgs trilinear self-coupling is experimentally demanding but fundamental for understanding the shape of the Higgs potential. We present a comprehensive ana…
Preserving physically important variables in optimal event selections: A case study in Higgs physics
Philipp Windischhofer, Miha Zgubic, Daniela Bortoletto
Analyses of collider data, often assisted by modern Machine Learning methods, condense a number of observables into a few powerful discriminants for the separation of the targeted…
Physics at a 100 TeV pp collider: Higgs and EW symmetry breaking studies
R. Contino, D. Curtin, A. Katz +72
This report summarises the physics opportunities for the study of Higgs bosons and the dynamics of electroweak symmetry breaking at the 100 TeV pp collider.
Boosting Higgs pair production in the final state with multivariate techniques
J. Katharina Behr, Daniela Bortoletto, James A. Frost +3
The measurement of Higgs pair production will be a cornerstone of the LHC program in the coming years. Double Higgs production provides a crucial window upon the mechanism of elect…