University of Minnesota
School of Physics & Astronomy

Elementary Particle Physics Seminar

Wednesday, October 10th 2018
Speaker: Nhan Viet Tran, FNAL
Subject: Fast & Furious 10: triggers, ML, and computing at the LHC and beyond

With increasingly complex collision environments at the LHC and concurrently growing data rates, more sophisticated detector and reconstruction methods are required to preserve the LHC program. However, this cannot coincide with an upsurge of computational and processing time. I will discuss plans for the CMS hardware trigger in the HL-LHC era and the role of advanced reconstruction techniques and the potential for machine learning implementations in the trigger FPGA hardware. Finally, I will show recent results relating this work to advances in computing which could revolutionize future high-level trigger and offline computing architectures at the LHC and other large-scale experiments like those in the neutrino program.

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