, UVA - Department of Physics
Over the last 20 years, there has been intense experimental activity dedicated to the measurement of observables to help build a 3D description of the nucleon. Generalized parton distributions (GPDs) describe complementary aspects of the structure of hadrons, providing qualitative and quantitative information about the partonic structure and dynamics such as orbital angular momentum. The formulations of the Deeply Virtual Compton Scattering (DVCS) cross-section are parametrized in terms of Compton Form Factors (CFFs) which are convolutions of GPDs with coefficient functions computed from perturbative QCD. The CFFs are extracted from DVCS experimental data taken at Jefferson Lab, including the most recent Hall A data. The analysis consists of a local fitting technique where the CFFs, ReH, ReE, and ReHtilde are determined independently in each kinematic bin for the unpolarized beam-target configuration at twist-2 approximation using the formalism developed by A.V. Belitsky, D. Müller, and A. Kirchner (BKM02 and BKM10). Significant systematic studies were done to optimize the local fitting procedure. The resulting CFFs are then used to train and regularize the neural network to obtain a global behavior of the CFFs with minimal model dependency. This procedure is tested and systematically studied using pseudo data generated with kinematics mimicking the experimental data.
Nuclear Physics Seminar
Tuesday, May 17, 2022
https://virginia.zoom.us/j/7615450175, Room via Zoom
Note special room.
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