Boosted dijets, AI, and the High-Luminosity era - Jeff Krupa (MIT)

Thursday 11 Jan 2024, 12:30 → 13:30 America/Los_Angeles

48/2-224 - Madrone (SLAC)

This talk will explore the synergy between High Energy Physics and artificial intelligence (AI) in the context of the upcoming High-Luminosity run of the LHC (HL-LHC). Using searches for low-mass resonances that decay into quark-antiquark pairs (in this context, "dark photons"), I will show how AI helps us put limits on the existence of new particles in challenging jet topologies. Moreover, I will demonstrate self-supervised AI techniques that build intermediate data representations, which can usher in a new precision era of physics. Finally, I will discuss strategies to alleviate anticipated strain on LHC experiments' computing resources, such as the integration of GPUs/FPGAs and novel algorithms for calorimeter clustering and reconstruction. This is just the beginning of an exciting era of AI-infused computing for HEP, where we will synergize techniques from multiple domains, drawing on efforts in industry and other areas of experimental physics.

Join from PC, Mac, Linux, iOS or Android: https://stanford.zoom.us/j/98973156241?pwd=cEU5RFdlVXoyc0JTeTlDMkozKzQ5UT09

video1249845758.mp4