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arXiv 2209.14489hep-phhep-ex
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利用强子末态和机器学习重构半包容深度非弹性散射事件运动学

Reconstruction of event kinematics in semi-inclusive deep-inelastic scattering using the hadronic final state and Machine Learning

Connor Pecar, Anselm Vossen

摘要:

电子离子对撞机上的半包容深度非弹性散射(SIDIS)将允许精确绘制大运动学区域内核子和原子核的3D动量和自旋结构。在这篇文章中,我们展示了利用强子末态和散射电子以及机器学习的方法,以更可靠地重建虚拟光子四动量和SIDIS运动学,并在EIC的DIS覆盖范围内。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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