Research Progress Meeting
Date: January 25, 2024
Time: 4:00- 5:00 pm
Location: Sessler Conference Room- 50A-5132 [In-Person and HYBRID]
Speaker: Philip Harris (MIT)
Title: You can observe a lot by just watching (new AI strategies for the LHC and beyond)
Abstract: With large amounts of data, a Higgs boson discovery, and world-leading constraints on an enormous amount of parameters and interactions, the Large Hadron Collider has been a phenomenal tool. However, it has reached the middle of life and is going through a mid-life crisis. We venture in a new direction to show how AI approaches are allowing us to do new, unprecedented physics measurements, leading to a mysterious deviation in Higgs boson production at high momentum. Moreover, we show a new result built on contrastive learning and semi-supervised learning strategies where, through physics-motivated choices, we teach an AI to visualize many physics processes simultaneously, allowing it to solve a variety of downstream tasks in one algorithm. The implications are far-reaching, including a world-leading Higgs boson identification and new sensitive approaches in AI-based anomaly detection. Finally, we show a dedicated path for the broad adoption of AI into all aspects of data processing at the Large Hadron Collider and other experiments, including LIGO, that are leading to faster, better, unprecedented results; the kind of results we believe can revitalize an aging accelerator.
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