Organized by: Prof. Lu Lu

Events on Wednesday, February 19th, 2025

From Data to Discovery: Machine Learning and Real-Time AI at the Frontier of Particle Physics

Time: 4:00 pm - 5:00 pm

Place: 5280 CH &

Speaker: Dr. Abhijit Gandrakota, Fermilab

Abstract: Uncovering beyond the Standard Model (BSM) physics near the electroweak (EW) scale remains one of the most formidable challenges in high-energy physics, where subtle signals are often obscured by overwhelming background processes. In this talk, I demonstrate how advanced AI and machine learning techniques are revolutionizing the search for new physics at the CMS experiment at the Large Hadron Collider (LHC). I start by discussing the application of data scouting and Gaussian Process regression for low-mass hadronic resonances, which simplifies the detection of slight excesses against smooth backgrounds. Recognizing the limitations imposed on these searches by the Trigger and Data Acquisition systems, we introduce AXOL1TL—an innovative anomaly detection method utilizing real-time AI tools implemented on FPGA hardware that achieves ultra-fast event processing in just 50 ns. Further advancements are presented through robust multi-background representation learning and attention-based methods for event filtering, which enhance both the efficiency and interpretability of our ML models at the HL-LHC. Together, these cutting-edge developments pave the way toward overcoming the challenges of identifying BSM signatures at the EW scale, opening new avenues for discovery in particle physics.

Host: Sridhara Dasu

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