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arxiv: hep-ph/9910426 · v1 · pith:37NT6QZBnew · submitted 1999-10-21 · ✦ hep-ph

Deeply virtual electroproduction of photons and mesons on the nucleon

classification ✦ hep-ph
keywords amplitudesdeeplydistributionselectroproductiongiveleadingorderskewed
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We give predictions for the leading order amplitudes for deeply virtual Compton scattering and hard meson electroproduction reactions at large Q^2 in the valence region in terms of skewed quark distributions. We give first estimates for the power corrections to these leading order amplitudes. In particular, we outline examples of experimental opportunities to access the skewed parton distributions at the current high-energy lepton facilities : JLab, HERMES and COMPASS.

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  1. Compton Form Factor Extraction using Quantum Deep Neural Networks

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    Quantum-inspired deep neural networks extract Compton form factors from JLab data with higher predictive accuracy and tighter uncertainties than classical DNNs on pseudodata benchmarks, then applied to real measurements.