Leading-twist 广义侧向动量相关分布(GTMDs)的一环匹配
音频与语音处理
2025-02-24 v2 计算与语言
摘要
我们 present 所有 leading-twist 广义侧向动量相关分布(GTMDs)匹配到广义 parton distributions(GPDs)所需的一环匹配系数。通过计算具有 staple 形状 Wilson 线的部分双线性关联子的首次辐射修正,提取匹配函数。这些关联子以横向位移和偏斜动力学特征化。Using the proton helicity basis, they are parametrised in terms of GTMDs, which are subsequently related to leading-twist GPDs. Our results provide new insights into the complex dynamics of GTMDs generated by radiative corrections. In particular, we show that time-reversal even and odd contributions to GTMDs in the so-called ERBL region mix both under matching and evolution. Finally, we present a selection of numerical results and comment on the quantitative behaviour of GTMDs.
引用
@article{arxiv.2502.07575,
title = {Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss},
author = {Fu-An Chao and Berlin Chen},
journal= {arXiv preprint arXiv:2502.07575},
year = {2025}
}
备注
Accepted to NAACL 2025 main conference