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Learning Particle Physics from Machines

Date and Time: Tuesday, September 21, 2021, 02:30pm -
Location: Zoom: https://us02web.zoom.us/j/81073398605?pwd=T1JQa1VualBnQjBDdVJoMzlQQTVSdz09
 

Speaker: Daniel Whiteson (University of California, Irvine)

whiteson

Abstract: Recent advances in artificial intelligence offer opportunities to disrupt the traditional strategies for discovery of new particles in high energy collisions.  I will describe the new machine-learning techniques, explain why they are particularly well suited for particle physics, present selected results that demonstrate their new capabilities, and present a strategy for translating their learned strategies into human understanding.

Bio: Daniel Whiteson is a professor of experimental particle physics at the University of California, Irvine, and a fellow of the American Physical Society. He conducts research using the Large Hadron Collider at CERN.  He received his PhD at Berkeley.

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