Monte Carlo analysis of CLAS data
  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. 
L. Del Debbio, A. Guffanti, A. Piccione