Parametrizing Compton form factors with neural networks
arXiv:1112.1958 · doi:10.1016/j.nuclphysbps.2012.03.020
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.
LaTeX, 6 pages, 3 figures, Presented by K.K. at Ringberg HERA workshop
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