Studying Deeply Virtual Compton Scattering with Neural Networks
High Energy Physics - Phenomenology
2011-10-20 v1 High Energy Physics - Experiment
Data Analysis, Statistics and Probability
Abstract
Neural networks are utilized to fit Compton form factor H to HERMES data on deeply virtual Compton scattering off unpolarized protons. We used this result to predict the beam charge-spin assymetry for muon scattering off proton at the kinematics of the COMPASS II experiment.
Cite
@article{arxiv.1110.3798,
title = {Studying Deeply Virtual Compton Scattering with Neural Networks},
author = {Kresimir Kumericki and Dieter Mueller and Andreas Schafer},
journal= {arXiv preprint arXiv:1110.3798},
year = {2011}
}
Comments
LaTeX, 7 pages, 4 figures, Talk by K.K. at PHOTON 2011