发表机构
Universidad de Sevilla; University of Washington; Kyoto University; École polytechnique, IN2P3-CNRS, Laboratoire Leprince-Ringuet; Ghent University; Universidad Complutense de Madrid and IPARCOS, CEI Moncloa（塞维利亚大学; 华盛顿大学; 京都大学; 巴黎综合理工学院，法国国家科学研究中心IN2P3-CEA勒普林斯-里格特实验室; 根特大学; 马德里康普顿斯大学及IPARCOS、蒙克洛阿卓越国际中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文概述了RDWIA在轻子-核散射中的应用，评估了核效应在初顶顶点与核内级联模型间的分配，并展示了核透明度与壳层依赖性的关联及其在INC中的实现。
AI 中文摘要
我们概述了用于轻子-核散射的相对论畸变波冲量近似（RDWIA），重点强调其作为事件生成器中初顶-顶点模型的应用。在中等能量区域，中微子-核事件生成器通常遵循两步方案：首先生成初顶中微子-强子相互作用，然后使用核内级联（INC）模型将出射强子穿过核介质传播。利用多种核的独占和包含 $(e,e'p)$ 和 $(e,e')$ 数据，我们评估了核效应应如何在这两个阶段之间分配。特别是，我们确定了哪些效应应包含在初顶-顶点描述中，哪些可以由INC更有效地处理，同时解决两个组成部分之间所需的一致性。我们还讨论了准弹性散射中的核透明度。我们表明，它直接与两核子敲除阈值以下的 $(e,e'p)$ 数据相关；并且取决于完整的核密度分布和核子的初始位置，因此，它随核子被移除的壳层而显著变化。我们证明了这种壳层依赖性可以轻松地纳入事件生成器的INC组成部分。
英文摘要
We present an overview of the relativistic distorted-wave impulse approximation (RDWIA) for lepton-nucleus scattering, with emphasis on its use as an elementary-vertex model in event generators. In the intermediate-energy regime, neutrino-nucleus event generators typically follow a two-step scheme: an elementary neutrino-hadron interaction is first generated, and the outgoing hadrons are then propagated through the nuclear medium using an intranuclear cascade (INC) model. Using exclusive and inclusive $(e,e'p)$ and $(e,e')$ data for several nuclei, we assess how nuclear effects should be distributed between these two stages. In particular, we identify which effects should be included in the elementary-vertex description and which can be treated more effectively by the INC, while addressing the consistency required between both components. We also discuss nuclear transparency in quasielastic scattering. We show that it is directly connected to $(e,e'p)$ data below the two-nucleon knockout threshold; and depends on the full nuclear density distribution and the initial position of the nucleon, therefore, it varies substantially with the shell from which the nucleon is removed. We demonstrate that this shell dependence can be incorporated straightforwardly into the INC component of event generators.
Comments18 pages, 7 figures, 2 tables
