使用神经网络重新评估 Gottfried 和
高能物理 - 唯象学
2009-11-11 v1
摘要
We provide a determination of the Gottfried sum from all available data, based on a neural network parametrization of the nonsinglet structure function F_2. We find S_G=0.244 +- 0.045, closer to the quark model expectation S_G=1/3 than previous results. We show that the uncertainty from the small x region is somewhat underestimated in previous determinations.
关键词
引用
@article{arxiv.hep-ph/0511231,
title = {Re-evaluation of the Gottfried sum using neural networks},
author = {Riccardo Abbate and Stefano Forte},
journal= {arXiv preprint arXiv:hep-ph/0511231},
year = {2009}
}
备注
4 pages, 3 figures, latex with revtex