Physics Colloquium

The search for new physics at the Large Hadron Collider (LHC) increasingly relies on techniques capable of identifying rare and unconventional events within vast datasets. Anomaly detection has emerged as a versatile and complementary approach, enabling the discovery of unexpected phenomena without the need for predefined theoretical assumptions. This colloquium highlights recent developments in anomaly detection at the Compact Muon Solenoid (CMS) experiment, with a focus on an innovative trigger system that integrates cutting-edge machine learning to achieve real-time identification of potential signals beyond the Standard Model. By dynamically responding to rare processes as they occur, this strategy redefines the boundaries of discovery and demonstrates the transformative role of AI in fundamental physics research.

Join via Zoom:
https://caltech.zoom.us/j/89860951893
Meeting ID: 898 6095 1893

The colloquium is held in Feynman Lecture Hall, 201 E. Bridge.