Deep learning for Higgs and new physics searches at the LHC
This event is part of the HEE Seminar Series.
Since the discovery of the Higgs boson at the Large Hadron Collider in 2012, developments in deep learning have expanded our ability to study the production of Higgs bosons and other particles with very large momenta. By studying these particles, we may be able to discover new physics at very high energy scales inaccessible directly at the LHC. I will explain these searches and talk about the direction that deep learning is taking in particle physics, especially how it's changing the trigger system, event reconstruction, and our computing paradigm.