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.
Monte Carlo analysis of CLAS data / L. Del Debbio, A. Guffanti, A. Piccione - In: DIS 2008 : proceedings of the 16. international workshop on deep-inelastic scattering and related topics, London, April 7-11 / [a cura di] R. Devenish, J. Ferrando. - [s.l] : Science Wise Publishing, 2008. (( Intervento presentato al 16. convegno DIS : International workshop on deep inelastic scattering and related subjects tenutosi a University College London nel 2008 [10.3360/dis.2008.213].
Monte Carlo analysis of CLAS data
A. PiccioneUltimo
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.
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