Exploring Nucleon Structure with the Self-Organizing Maps Algorithm
High Energy Physics - Phenomenology
2015-06-23 v1 High Energy Physics - Experiment
Adaptation and Self-Organizing Systems
Abstract
We discuss the application of an alternative type of neural network, the Self-Organizing Map to extract parton distribution functions from various hard scattering processes.
Cite
@article{arxiv.1411.2487,
title = {Exploring Nucleon Structure with the Self-Organizing Maps Algorithm},
author = {Evan M. Askanazi and Katherine A. Holcomb and Simonetta Liuti},
journal= {arXiv preprint arXiv:1411.2487},
year = {2015}
}
Comments
15 pages, 13 figures. arXiv admin note: substantial text overlap with arXiv:1309.7085