arXiv:1112.1958·v1·High Energy Physics — Phenomenology
Parametrizing Compton form factors with neural networks
Kresimir Kumericki🇭🇷 · Dieter Mueller🇺🇸 · Andreas Schafer🇩🇪
Abstract
We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data.
Comments: LaTeX, 6 pages, 3 figures, Presented by K.K. at Ringberg HERA workshop