Re-evaluation of the Gottfried sum using neural networks

Details Re-evaluation of the Gottfried sum using neural networks Re-evaluation of the Gottfried sum using neural networks

2005-11-18

arxiv.org/abs/hep-ph/0511231v1

Phys.Rev. D72 (2005) 117503

Physics

High Energy Physics

High Energy Physics - Phenomenology

4 pages, 3 figures, latex with revtex

Scientific paper

10.1103/PhysRevD.72.117503

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.

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