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Monte Carlo analysis of CLAS data

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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

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.

    Research areas

  • High Energy Physics

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