南布-约纳-拉西尼奥模型中的质子-光子和卡昂-光子跃迁分布振幅

Jin-Li Zhang, Jun Wu
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摘要

在南布--约纳--拉西尼奥模型的框架内,利用适当的时间正则化研究了负离子和高子光子前旋转变分布振幅。分别考察了矢量和轴向矢量先锋光子转变分布振幅的性质,结果满足理想性质。研究了和规则和多项式条件,先驱和高子光子转变分布振幅的第一梅林矩对应于先驱和高子光子的矢量和轴向矢量形式因子$F_V(t)$和$F_A(t)$,它们出现在$\pi^+\rightarrow \gamma e^+ \nu$过程中。矢量转换形式因子来自强子的内部结构,轴向电流可以耦合到一个先驱,这个先驱是虚拟的,它的贡献将独立于外部强子而存在, kaon 转换形式因子与此类似。矢量形式因子的零动量转移值由轴向反常固定,而轴向形式因子则不然。我们绘制了这两种形式因子的示意图,此外还绘制了中性先驱矢量形式因子 $F_{pi \gamma \gamma}(t)$ 的示意图。我们发现轴向矢量转换形式因子比矢量转换形式因子更难,比电磁形式因子更难。结果列于表中,我们还讨论了 $\pi - \gamma $ 和 $\gamma - \pi$过渡分布振幅的关系。
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Pion-photon and kaon-photon transition distribution amplitudes in the Nambu--Jona-Lasinio model
Pion and kaon photon leading-twist transition distribution amplitudes are investigated within the framework of the Nambu--Jona-Lasinio model using proper time regularization. The properties of the vector and axial vector pion photon transition distribution amplitudes are examined separately, the results satisfy the desirable properties. The sum rules and polynomiality condition are studied, the first Mellin moments of the pion and kaon photon transition distribution amplitudes correspond to the vector and axial vector pion and kaon photon form factors $F_V(t)$ and $F_A(t)$, which appear in the $\pi^+\rightarrow \gamma e^+ \nu$ process. The vector transition form factor comes from the internal structure of hadrons, the axial current can be coupled to a pion, this pion is virtual, and its contribution will be present independently of the external hadrons, kaon transition form factors are similar. The value at zero momentum transfer of the vector form factor is fixed by the axial anomaly, while this is not the case for the axial one. The diagrams of the two form factors are plotted, in addition, the neutral pion vector form factor $F_{\pi \gamma \gamma}(t)$. We find that the axial vector transition form factor is harder than the vector transition form factor and harder than the electromagnetic form factor. The results are listed in our table, we also discuss the relationship of $\pi - \gamma $ and $\gamma - \pi$ transitions distribution amplitudes.
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