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

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arxiv 2406.00756 v1 pith:AWBO6UXP submitted 2024-06-02 hep-ph

classification hep-ph
keywords methodmodelnumericalconfigurationsfindfunctionsmultiquarkquark
verification ladder T0 review T1 audit T2 compute T3 formal

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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 $T_{cc}$($ud\bar{c}\bar{c}$) and $T_{bb}$($ud\bar{b}\bar{b}$) 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 $T_{cc}$ is a compact multiquark configuration.

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Cited by 1 Pith paper

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  1. Exploring the spectroscopic features of double-strangeness tetraquark states

    hep-ph 2025-05 conditional novelty 5.0 of 10

    Model calculations suggest a bound double-strange tetraquark state with I(JP)=0(1+) at about 1310 MeV and a resonance near 1783 MeV.

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