论文标题
使用HADRONIC最终状态和机器学习的半精密弹性散射中事件运动学的重建
Reconstruction of event kinematics in semi-inclusive deep-inelastic scattering using the hadronic final state and Machine Learning
论文作者
论文摘要
电子对撞机的半包含深弹性散射（SIDI）将允许在大型运动区域上精确地映射核子和核的3D动量和自旋结构。在这一贡献中，我们演示了使用耐达的最终状态和分散电子以及机器学习的方法，以更可靠地重建了EIC的包含性疾病覆盖的虚拟光子四动量和SIDIS运动学。
Semi-inclusive deep-inelastic scattering (SIDIS) at the Electron-Ion Collider will allow for precise mapping of the 3D momentum and spin structure of nucleons and nuclei over a large kinematic region. In this contribution, we demonstrate methods utilizing the hadronic final state and scattered electron, as well as machine learning, to more reliably reconstruct the virtual photon four momentum and SIDIS kinematics across the inclusive DIS coverage at the EIC.
