Monte Carlo analysis of CLAS data

L. Del Debbio, A. Guffanti, A. Piccione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageUndefined/Unknown
Title of host publicationProceedings of the XVI International Workshop on Deep-Inelastic Scattering and Related Topics
Subtitle of host publicationProgress in High Energy Physics
Volume2
DOIs
Publication statusPublished - 30 Jun 2008

Keywords

  • High Energy Physics

Cite this