Parametrizing Compton form factors with neural networks
High Energy Physics - Phenomenology
2015-06-03 v1 Data Analysis, Statistics and Probability
Abstract
We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data.
Cite
@article{arxiv.1112.1958,
title = {Parametrizing Compton form factors with neural networks},
author = {Kresimir Kumericki and Dieter Mueller and Andreas Schafer},
journal= {arXiv preprint arXiv:1112.1958},
year = {2015}
}
Comments
LaTeX, 6 pages, 3 figures, Presented by K.K. at Ringberg HERA workshop