Monte Carlo analysis of CLAS data

Physics – High Energy Physics – High Energy Physics - Phenomenology

Scientific paper

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To appear in the proceedings of 16th International Workshop on Deep-Inelastic Scattering and Related Subjects (DIS2008), 7-11

Scientific paper

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.

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