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arXiv 1106.2091hep-phhep-exnucl-exnucl-th
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含核硬过程中的超前扭曲核遮蔽现象

Leading twist nuclear shadowing phenomena in hard processes with nuclei

L. Frankfurt, V. Guzey, M. Strikman

摘要:

我们提出并讨论了核阴影的主导扭曲理论的理论和唯象,它是基于Gribov-Glauber理论的推广,QCD因子分解定理,和HERA QCD分析的轻子-质子深度非弹性散射(DIS)衍射的组合。我们应用这种技术的分析范围广泛的硬过程与核-包括DIS上的氘核,中程和重核,相干和非相干衍射DIS与核,和硬衍射质子核散射-并作出预测核阴影的效果在相应的海夸克和胶子部分子分布。本文还分析了首扭核阴影在核中广义部分子分布和核DIS末态某些特性中的作用。讨论了首扭近似对小x散射的适用范围和黑盘区的起始及其探测方法。在不久的将来,我们的许多预言将有可能在核DIS的研究中得到检验。大型强子对撞机(LHC)的超周边碰撞。进一步的检查将有可能在大型强子对撞机的pA碰撞和相对论重离子对撞机(RHIC)的正向强子产生中进行。详细的测试将可能在美国的电子离子对撞机(EIC)和欧洲核子研究中心的大型强子电子对撞机(LHeC)上进行。

英文摘要:

We present and discuss the theory and phenomenology of the leading twist theory of nuclear shadowing which is based on the combination of the generalization of the Gribov-Glauber theory, QCD factorization theorems, and the HERA QCD analysis of diffraction in lepton-proton deep inelastic scattering (DIS). We apply this technique for the analysis of a wide range of hard processes with nuclei---inclusive DIS on deuterons, medium-range and heavy nuclei, coherent and incoherent diffractive DIS with nuclei, and hard diffraction in proton-nucleus scattering---and make predictions for the effect of nuclear shadowing in the corresponding sea quark and gluon parton distributions. We also analyze the role of the leading twist nuclear shadowing in generalized parton distributions in nuclei and in certain characteristics of final states in nuclear DIS. We discuss the limits of applicability of the leading twist approximation for small x scattering off nuclei and the onset of the black disk regime and methods of detecting it. It will be possible to check many of our predictions in the near future in the studies of the ultraperipheral collisions at the Large Hadron Collider (LHC). Further checks will be possible in pA collisions at the LHC and forward hadron production at the Relativistic Heavy Ion Collider (RHIC). Detailed tests will be possible at an Electron-Ion Collider (EIC) in the USA and at the Large Hadron-Electron Collider (LHeC) at CERN.

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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