paper

Re-evaluation of the Gottfried sum using neural networks

arXiv:hep-ph/0511231 · doi:10.1103/PhysRevD.72.117503

Abstract

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.

4 pages, 3 figures, latex with revtex

Re-evaluation of the Gottfried sum using neural networks · wovepaper