Re-evaluation of the Gottfried sum using neural networks
Riccardo Abbate, Stefano Forte
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.
Create a lesson
Related papers
Chiral soliton lattice in inhomogeneous magnetic fields
Tomas Brauner, Ramkumar Radhakrishnan
From the November Revolution toward the Millennium
Chris Quigg
An Axial UA(1)Lμ-Lτ: UV Completion and Experimental Searches
Rundong Fang, Jinhui Guo, Ming Li et al.
Hunting long-lived doubly charged scalars at the HL-LHC
Biplob Bhattacherjee, Rituparna Ghosh, Swagata Mukherjee et al.
Enigmatic properties of Ξ(1620) and Ξ(1690)
Taísa Veloso, K. P. Khemchandani, A. Martinez Torres et al.
Exploring Z/γ-mediated heavy FCNCs at the FCC-ee
Abhik Sarkar, Subhajit Kala, Amir Subba et al.