Title: Unlocking the potential of LHC data: boosted Higgs and deep learning

Abstract:

The discovery of the Higgs boson at the Large Hadron Collider in 2012 opened a new sector for exploration in the standard model of particle physics. Many investigations since then have shown that the Higgs boson is in line with expectations, but given its special role in the standard model, it is uniquely sensitive to new physics. Recent developments, including the use of deep learning to identify a complex but common decay of the Higgs boson to bottom quarks, have expanded our ability to study the production of Higgs bosons with very large momenta. By studying these Higgs bosons and measuring their momentum spectrum, we may be able to rule out or 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 way we think about the trigger, event reconstruction, and our computing paradigm.