Article 4MD4S Deep Learning for Higgs Boson Identification and Searches for New Physics at the Large Hadron Collider

Deep Learning for Higgs Boson Identification and Searches for New Physics at the Large Hadron Collider

by
Rich Brueckner
from High-Performance Computing News Analysis | insideHPC on (#4MD4S)
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Mark Neubauer from the University of Illinois gave this talk at the Blue Waters Symposium. "In this talk, we present our work using deep learning techniques on the Blue Waters supercomputing to develop and optimize a novel method of identifying the decays of highly-boosted Higgs bosons produced at the LHC a signature of new particles and/or phenomena at the energy frontier of particle physics. We also discuss our ongoing work using Blue Waters to develop scalable cyberinfrastructure for sustainable and reproducible data analysis workflows through the NSF-funded IRIS-HEP Institute and SCAILFIN project."

The post Deep Learning for Higgs Boson Identification and Searches for New Physics at the Large Hadron Collider appeared first on insideHPC.

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