arXiv:1110.3798·v1·High Energy Physics — Phenomenology
Studying Deeply Virtual Compton Scattering with Neural Networks
Kresimir Kumericki🇭🇷 · Dieter Mueller🇺🇸 · Andreas Schafer🇩🇪
Abstract
Neural networks are utilized to fit Compton form factor H to HERMES data on deeply virtual Compton scattering off unpolarized protons. We used this result to predict the beam charge-spin assymetry for muon scattering off proton at the kinematics of the COMPASS II experiment.
Comments: LaTeX, 7 pages, 4 figures, Talk by K.K. at PHOTON 2011