We present a fit of the virtual-photon scattering asymmetry of polarized Deep Inelastic Scattering which combines a Monte Carlo technique with the use of a redundant parametrization based on Neural Networks. We apply the result to the analysis of CLAS data on a polarized proton target.
|Title of host publication||Proceedings of the XVI International Workshop on Deep-Inelastic Scattering and Related Topics|
|Subtitle of host publication||Progress in High Energy Physics|
|Publication status||Published - 30 Jun 2008|
- High Energy Physics