BEGIN:VCALENDAR VERSION:2.0 PRODID:Data::ICal 0.22 BEGIN:VEVENT DESCRIPTION:Liliet Calero\, UVA - Department of Physics\n\n
Over the last 20 years\, there ha s been intense experimental activity dedicated to the measurement of obser vables to help build a 3D description of the nucleon. Generalized parton d istributions (GPDs) describe complementary aspects of the structure of had rons\, providing qualitative and quantitative information about the parton ic structure and dynamics such as orbital angular momentum. The formulatio ns of the Deeply Virtual Compton Scattering (DVCS) cross-section are param etrized in terms of Compton Form Factors (CFFs) which are convolutions of GPDs with coefficient functions computed from perturbative QCD. The CFFs a re extracted from DVCS experimental data taken at Jefferson Lab\, includin g the most recent Hall A data. The analysis consists of a local fitting te chnique where the CFFs\, ReH\, ReE\, and ReHtilde are determined independe ntly in each kinematic bin for the unpolarized beam-target configuration a t twist-2 approximation using the formalism developed by A.V. Belitsky\, D . Mü\;ller\, 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 kine matics mimicking the experimental data.
\n DTSTART:20220517T193000Z LOCATION:https://virginia.zoom.us/j/7615450175\, Room via Zoom SUMMARY:Extraction of Compton Form Factors from DVCS experimental data END:VEVENT END:VCALENDAR