AI 中文总结
本研究讨论超出领头阶的双强子碎裂函数提取，综述MAP合作组利用BELLE数据的最新提取结果，还探讨横向极化双强子碎裂函数的提取设置并得到与文献不同的NLO计算结果。
AI 中文摘要
在本次报告中，我们讨论超出领头阶的双强子碎裂函数（DiFFs）的提取。具体而言，我们综述了MAP合作组利用2017年BELLE实验在正负电子对撞中同喷注内产生的中性π⁺π⁻对数据拟合，对非极化双强子碎裂函数（DiFFs）的最新提取结果。该新提取结果通过包含次领头阶（NNLO）计算提升了微扰量子色动力学（pQCD）的精度，仅依靠蒙特卡洛（Monte Carlo）发生器进行味分解，并用神经网络提取补充了传统的基于物理的参数化方法。我们还讨论了横向极化双强子碎裂函数的提取设置，在此过程中重新研究了正负电子对撞产生横向极化夸克-反夸克对的次领头阶（NLO）计算，得到了与文献报道不同的结果。
英文摘要
In this talk, we discuss the extraction of Dihadron Fragmentation Functions (DiFFs) beyond leading order. In particular, we review the latest extraction by the MAP Collaboration of the Unpolarized Dihadron Fragmentation Functions (DiFFs) from a fit of the 2017 BELLE data for the inclusive $π^+π^-$ pair production within the same jet in $e^+e^-$ annihilations. This new extraction improves the perturbative QCD accuracy by including NNLO calculations, relies on Monte Carlo generators only for flavor decomposition, and complements the traditional physics-informed parametrization with a Neural Network extraction. We also discuss the setup for the extraction of the transversely polarized DiFFs, where we revisit the NLO calculation for $e^+e^-$ annihilation into a transversely polarized quark-antiquark pair, obtaining a result different from the one reported in the literature.
Comments7 pages, 3 figures, Proceedings of DIS2026 (33rd International Workshop on Deep Inelastic Scattering and Related Subjects), Bologna, Italy
