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arXiv 2211.04494hep-phhep-lathep-th
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次领头幂次准横动量依赖(quasi-TMD)分布的因子化

Factorization for quasi-TMD distributions of sub-leading power

Simone Rodini, Alexey Vladimirov

AI总结:

本文推导次领头幂qTMD分布的因子化定理,给出含twist-two、twist-three及新格点非微扰函数的表达式、NLO结果,并说明其用于提取Collins-Soper核及恢复boost不变性。

摘要:

准横动量依赖(qTMD)分布是可在格点QCD方法中计算的等时关联函数。在强子动量很大的区域,qTMD分布通过因子化定理用标准TMD分布表示。我们推导了相应的次领头幂(NLP)因子化定理,并首次给出一大类次领头幂qTMD分布的因子化表达式。该NLP表达式包含twist-two、twist-three的TMD分布以及一个新的格点特有的非微扰函数。我们指出,本文考虑的某些qTMD分布可用于利用不同动量比的标准技术提取Collins-Soper核。我们给出了因子化定理所有要素的NLO表达式。此外,我们还首次明确展示了NLP TMD因子化中boost不变性的恢复。

英文摘要:

The quasi-transverse-momentum dependent (qTMD) distributions are equal-time correlators that can be computed within the lattice QCD approach. In the regime of large hadron's momentum, qTMD distributions are expressed in terms of standard TMD distributions via the factorization theorem. We derive the corresponding factorization theorem at the next-leading power (NLP), and, for the first time, we present the factorized expressions for a large class of qTMD distributions of sub-leading power. The NLP expression contains TMD distributions of twist-two, twist-three, and a new lattice-specific nonperturbative function. We point out that some of the qTMD distributions considered in this work can be employed to extract the Collins-Soper kernel using the standard techniques of different-momenta-ratio. We provide NLO expressions for all the elements of the factorization theorem. Also, for the first time, we explicitly demonstrate the restoration of boost invariance in NLP TMD factorization.

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