High Energy Physic

High-energy physics research aims to understand fundamental particles and their interactions, often leveraging massive datasets from particle collider experiments. Current research heavily employs machine learning, focusing on developing and optimizing novel architectures like transformers, graph neural networks, and normalizing flows for tasks such as particle tracking, jet tagging, and event classification. These advancements improve the efficiency and accuracy of data analysis, enabling more precise measurements and potentially accelerating the discovery of new physics phenomena.