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arXiv 0908.2199hep-ph
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从数据中提取广义Parton分布的策略

Strategies to Extract Generalized Parton Distributions from Data

Simonetta Liuti, Saeed Ahmad, Chuanzhe Lin, Huong T. Nguyen

摘要:

一些深度虚拟的排他性实验将使我们能够访问嵌入在这种过程的复振幅中的广义Parton分布。从实验中提取是特别具有挑战性的,因为大量的运动学变量和可观测量被固定在每个实验分析中,因为,在与包容性实验的差异,代表夸克动量分数的变量出现在物理振幅中,不能直接访问。我们提出了一种从实验中提取的策略,利用弹性和包容散射的约束以及格点量子色动力学结果的信息。

英文摘要:

A number of deeply virtual exclusive experiments will allow us to access the Generalized Parton Distributions which are embedded in the complex amplitudes for such processes. The extraction from experiment is particularly challenging both because of the large number of kinematical variables and observables to be pinned down in each experimental analysis and because, at variance with inclusive experiments, the variables representing the quark momentum fraction appear integrated over in the physical amplitudes and cannot be accessed directly. We present a strategy for the extraction from experiment that makes use of constraints from both elastic and inclusive scattering as well as information from lattice QCD results.

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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