Re-evaluation of the Gottfried sum using neural networks
classification
✦ hep-ph
keywords
gottfriedneuralpreviousavailablecloserdatadeterminationdeterminations
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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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