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Analysis of Strong Coupling Constant with Machine Learning and Its Application

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We investigate the nature of the strong coupling constant and related physics.Through the analysis of accumulated experimental data around the world,we employ the ability of machine learning to unravel its physical laws.The result of our efforts is a formula that captures the expansive panorama of the distribution of the strong coupling constant across the entire energy range.Importantly,this newly derived expression is very similar to the formula derived from the Dyson-Schwinger equations based on the framework of Yang-Mills theory.By introducing the Euler number e into the functional formula of the strong coupling constant at high energies,we successfully solve the puzzle of the infrared divergence,which allows for a seamless transition of the strong coupling constant from the perturbative to the non-perturbative energy regime.Moreover,the obtained ghost and gluon dressing function distribution results confirm that the obtained strong coupling constant formula can well describe the physical properties of the non-perturbed regime.In addition,we study the quantum-chromodynamics strong coupling constant result of the Bjorken sum ruleΓ1p-nand the quark-quark static energy E0(r),and find that the global energy scale can effectively interpret the experimental data.The present results shed light on the puzzling properties of quantum chromodynamics and the intricate interplay of strong coupling constants at both low and high energy scales.

王晓云、董晨、刘翔

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Department of Physics,Lanzhou University of Technology,Lanzhou 730050,China

Lanzhou Center for Theoretical Physics,Key Laboratory of Theoretical Physics of Gansu Province,Lanzhou University,Lanzhou 730000,China

School of Physical Science and Technology,Lanzhou University,Lanzhou 730000,China

Research Center for Hadron and CSR Physics,Lanzhou University and Institute of Modern Physics,Chinese Academy of Sciences,Lanzhou 730000,China

MoE Frontiers Science Center for Rare Isotopes,Lanzhou University,Lanzhou 730000,China

Key Laboratory of Quantum Theory and Applications of MoE,Lanzhou

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国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金甘肃省自然科学基金"西部之光"人才培养计划国家杰出青年科学基金国家重点研发计划高等学校学科创新引智计划(111计划)中央高校基本科研业务费专项Project for Top-Notch Innovative Talents of Gansu province

1206501412047501122471011233500122JR5RA26621JR7RA201118255032020YFA0406400B20063

2024

10.1088/0256-307X/41/3/031201

中国物理快报(英文版)
中国科学院物理研究所,中国物理学会

中国物理快报(英文版)

CSTPCDEI
影响因子：0.515
ISSN：0256-307X
年,卷(期)：2024.41(3)
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