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arXiv 2202.01504hep-phhep-exhep-lat
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真空和稠密介质中K介子的光谱参数和电磁形状因子

Spectroscopic parameters and electromagnetic form factor of kaon in vacuum and a dense medium

N. Er, K. Azizi

摘要:

研究了真空和有限密度介质中奇异粒子K介子的光谱参数和电磁形状因子。得到的真空质量和衰变常数与已有的实验结果相一致,并用于提取真空中$Q^2\in [0,10]$ GeV $^2$范围内K介子电磁形状因子与$ Q^2 $的关系.在较低和中等值的$ Q^2 $得到的结果是一致的,与现有的实验数据在所提出的不确定性。在真空和$Q^2\in [0,6]$ GeV $^2$范围内,K介子电磁形状因子的$ Q^2 $行为与已有的格点量子色动力学的预言以及Nambu和Jona-Lasinio(NJL)模型的Bethe-Salpeter方程的解在适当的时间正则化下也是很好的一致的. K介子真空半径的计算结果与国际上的平均实验结果也符合得很好。我们将分析扩展到更高密度的介质中,得到了质量、衰减常数、电磁形状因子和半径随密度的变化规律。所获得的结果与其他模型和方法的现有预测的一些参数进行比较。本研究所获得的结果可为今后在真空和稠密介质中的实验和理论研究提供参考。

英文摘要:

The spectroscopic parameters as well as electromagnetic form factor of the strange particle kaon are investigated in vacuum and a medium with finite density. The obtained vacuum mass and decay constant, which are consistent with the existing experimental results, are used to extract the $ Q^2 $ dependence of the kaon electromagnetic form factor in the interval $Q^2\in [0,10]$ GeV$^2$ in vacuum. The obtained results at lower and intermediate values of $ Q^2 $ are consistent with the existing experimental data within the presented uncertainties. The $ Q^2 $ behavior of the electromagnetic form factor of kaon in vacuum and in the interval $Q^2\in [0,6]$ GeV$^2$ is in a nice agreement with the existing predictions of the Lattice QCD and the solution of the Bethe-Salpeter equation for the model of Nambu and Jona-Lasinio (NJL) with proper-time regularization, as well. The obtained vacuum radius for kaon is also in a nice agreement with the world's average experimental result. We extend the analyses to a medium with higher densities and obtain the behavior of the mass, decay constant, electromagnetic form factor and radius with respect to density. The obtained results for some of the parameters are compared with the existing predictions of other models and approaches. The results obtained in the present study can be useful for future experimental and theoretical studies both in vacuum and a dense medium.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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