Studying Effective String Theory using deep generative models
Michele Caselle, Elia Cellini, Alessandro Nada
有效的弦理论(EST)提供了一个强大的非扰动框架,用于描述杨-米尔斯理论中的禁闭性,将静态夸克-抗夸克对之间的限制作为薄的振动弦。 虽然EST计算通常使用zeta-function正则化进行,但某些问题 - 例如确定通量管宽度 - 太复杂,无法分析解决。 然而,最近的研究表明,可以通过采用基于生成算法的深度学习技术来对EST进行数值探索。 在这项工作中,我们简要介绍了EST和这种新颖的数字方法。 最后,我们介绍了Nambu-Gotö EST宽度的结果。
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 dee...