Deep learning on calorimeter information achieves approximately 4.5 sigma significance for detecting NMSSM heavy Higgs chain decays in vector boson fusion with 300 fb^{-1} luminosity.
Introduction to Supersymmetry
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abstract
These lectures give a self-contained introduction to supersymmetry from a modern perspective. Emphasis is placed on material essential to understanding duality. Topics include: central charges and BPS-saturated states, supersymmetric nonlinear sigma models, N=2 Yang-Mills theory, holomorphy and the N=2 Yang-Mills beta function, supersymmetry in 2, 6, 10, and 11 spacetime dimensions.
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UNVERDICTED 2representative citing papers
A comprehensive introduction to spectral networks that develops higher-rank Teichmüller theory in parallel with class S gauge theory and BPS spectra.
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Machine Learning Enhanced Detection of Higgs Chain Decays in Vector Boson Fusion
Deep learning on calorimeter information achieves approximately 4.5 sigma significance for detecting NMSSM heavy Higgs chain decays in vector boson fusion with 300 fb^{-1} luminosity.
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Spectral Networks: Bridging higher-rank Teichm\"uller theory and BPS states
A comprehensive introduction to spectral networks that develops higher-rank Teichmüller theory in parallel with class S gauge theory and BPS spectra.