English

An AI-Inspired Numerical Method in the Quark Model: Application to Finding the Wave Functions for Heavy Tetraquark States

High Energy Physics - Phenomenology 2024-06-04 v1

Abstract

The current ongoing advancements in AI have shed light on the landscape of numerical analysis in science. Inspired by the path of achievement of AI, we have developed a method to construct accurate ground state wave functions of multiquark configurations within a quark model. We successfully tested our method through comparisons with meson-type two-body systems with analytic and numerical solutions. We then applied our method to find the ground-state solutions of TccT_{cc}(udcˉcˉud\bar{c}\bar{c}) and TbbT_{bb}(udbˉbˉud\bar{b}\bar{b}) states. Our findings indicate that our approach outperforms existing methods, achieving greater accuracy in reproducing highly intricate configurations. Within the model parameters, we find that the TccT_{cc} is a compact multiquark configuration.

Keywords

Cite

@article{arxiv.2406.00756,
  title  = {An AI-Inspired Numerical Method in the Quark Model: Application to Finding the Wave Functions for Heavy Tetraquark States},
  author = {Daeho Park and Su Houng Lee},
  journal= {arXiv preprint arXiv:2406.00756},
  year   = {2024}
}

Comments

7 pages, 5 figures