用深度生成模型研究强子束缚弦理论的弦宽问题
Studying Effective String Theory using deep generative models
- 用生成模型数值模拟有效弦理论
- 首次获得Nambu-Goto模型的弦宽结果
- 为非微扰强相互作用提供新计算路径
有效弦理论（EST）为杨-米尔斯理论中的禁闭现象提供了一个稳健的非微扰框架，将静态夸克-反夸克对之间的束缚通量管视为一条细长、振动的弦。尽管通常采用ζ函数正则化进行估算，但某些问题（如通量管宽度）过于复杂而无法解析求解。最近研究表明，可借助基于生成算法的深度学习技术对EST进行数值探索。本文简要介绍EST及其新型数值方法，并给出Nambu-Gotō EST中弦宽的计算结果。
原文摘要 · Abstract (English)
Effective String Theory (EST) offers a robust non-perturbative framework for describing confinement in Yang-Mills theory by treating the confining flux tube between a static quark-antiquark pair as a thin, vibrating string. While EST calculations are typically carried out using zeta-function regularization, certain problems-such as determining the flux tube width-are too complex to solve analytically. However, recent studies have demonstrated that EST can be explored numerically by employing deep learning techniques based on generative algorithms. In this work, we provide a brief introduction to EST and this novel numerical approach. Finally, we present results for the width of the Nambu-Gotö EST.
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