Machine Learning in Particle Physics

COFFEE_KLATCH · Invited

Abstract

In my talk, I will discuss the application of state-of-the-art data science methods, such as modern deep learning networks, in particle physics. In particular, I will highlight applications to new physics searches, detector reconstruction, particle identification and real-time event filtering. I will conclude by presenting significant new opportunities in the field of particle physics enabled by data science.

Authors

  • Sergei Gleyzer

    Univ of Alabama - Tuscaloosa