We provide a determination of the Gottfried sum from all available data, based on a neural network parametrization of the nonsinglet structure function F2. We find SG=0.244+/-0.045, closer to the quark model expectation SG=1/3 than previous results. We show that the uncertainty from the small x region is somewhat underestimated in previous determinations.
Re-evaluation of the Gottfried sum using neural networks / Riccardo Abbate, Stefano Forte. - In: PHYSICAL REVIEW D, PARTICLES, FIELDS, GRAVITATION, AND COSMOLOGY. - ISSN 1550-7998. - 72:11(2005), pp. 117503.117503-1-117503.117503-4.
Re-evaluation of the Gottfried sum using neural networks
Stefano Forte
2005
Abstract
We provide a determination of the Gottfried sum from all available data, based on a neural network parametrization of the nonsinglet structure function F2. We find SG=0.244+/-0.045, closer to the quark model expectation SG=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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