Project Grant 2209917

This $599,292 project grant from the National Science Foundation's Mathematical and Physical Sciences program supports the development of new cyberinfrastructure for real-time anomaly detection in particle physics experiments. The Trustees of Columbia University will leverage advances in artificial intelligence and detector technologies to create computationally efficient tools capable of intelligently detecting rare and unpredictable patterns in experimental data without relying on prior expectations. This aims to transform fundamental physics discoveries by allowing data to guide the identification of new phenomena. Over a three-year period, physicists and computer scientists at Columbia, Princeton and other institutions will develop anomaly detection algorithms executable on resource-constrained platforms commonly used for on-detector data processing. The goal is to produce scalable and expandable cyberinfrastructure applicable to current and future experiments seeking discoveries beyond the Standard Model of particle physics.