Using the available data on deeply virtual Compton scattering (DVCS) off protons and utilizing neural networks enhanced by the dispersion relation constraint, we determine six out of eight leading Compton form factors in the valence quark kinematic region. Furthermore, adding recent data on DVCS off neutrons, we separate contributions of up and down quarks to the dominant form factor, thus paving the way towards a three-dimensional picture of the nucleon.

中文翻译：

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使用深度虚拟康普顿散射数据分离夸克风味

使用质子深虚拟康普顿散射（DVCS）上的可用数据，并利用色散关系约束增强的神经网络，在价夸克运动学区域中确定八种领先的康普顿形状因子中的六种。此外，添加关于中子DVCS的最新数据，我们将夸克上下的贡献分开到主要形状因子，从而为朝核子的三维图铺平了道路。