Nuclear Physics Seminars

Understanding the nucleon's internal structure remains a central challenge in nuclear physics. Generalized Parton Distributions (GPDs) and Transverse Momentum Distributions (TMDs) provide complementary perspectives on partonic spatial and momentum distributions, capturing essential nonperturbative nucleon dynamics. In this seminar, I will discuss ongoing theoretical and experimental efforts to characterize nucleon structure via GPDs and TMDs. I will then highlight recent progress using deep neural networks (DNNs) to extract the Sivers TMD, demonstrating how artificial intelligence (AI) enhances our ability to model nucleonic momentum correlations. Additionally, I will present the SpinQuest (E1039) experiment at Fermilab, which aims to measure sea-quark contributions to the nucleon spin by determining the Sivers function from dimuon production. Finally, I will introduce symbolic regression (SR) as a novel approach for deriving analytical expressions of TMDs and GPDs, offering new insights into the underlying partonic physics within hadrons.