Monte Carlo analysis of CLAS data
High Energy Physics - Phenomenology
2008-07-01 v1
Abstract
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.
Cite
@article{arxiv.0806.4918,
title = {Monte Carlo analysis of CLAS data},
author = {L. Del Debbio and A. Guffanti and A. Piccione},
journal= {arXiv preprint arXiv:0806.4918},
year = {2008}
}
Comments
To appear in the proceedings of 16th International Workshop on Deep-Inelastic Scattering and Related Subjects (DIS2008), 7-11 April 2008, University College London, UK