arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2002.03695hep-ph
收藏

超中心组分夸克模型中激发态$Ω_b^-$的人工神经网络研究

A Study of Excited $Ω_b^-$ States in Hypercentral Constituent Quark Model via Artificial Neural Network

Halil Mutuk

摘要:

在这项工作中,我们获得了新观察到的激发态$Ω_b^-$,即$Ω_b(6316)^-$,$Ω_b(6330)^-$,$Ω_b(6340)^-$,和$Ω_b(6350)^-$的质谱,辐射衰减宽度和强衰减宽度。在超中心组分夸克模型(hCQM)中,通过人工神经网络(ANN)求解六维非相对论性薛定谔方程,得到了质量谱。在这方面,辐射衰变宽度计算的框架从介子重子的推广。计算了$^3P_0$模型中低能级$Ω_b$的强衰变宽度。所得结果与现有的实验数据和其他理论研究的比较。

英文摘要:

In this work, we have obtained mass spectra, radiative decay widths and strong decay widths of newly observed excited $Ω_b^-$ states, i.e. $Ω_b(6316)^-$, $Ω_b(6330)^-$, $Ω_b(6340)^-$, and $Ω_b(6350)^-$. Mass spectrum is obtained in Hypercentral Constituent Quark Model (hCQM) by solving six-dimensional nonrelativistic Schrödinger equation via Artificila Neural Network (ANN). In this respect, radiative decay widhts are calculated by a generalization of a framework from meson to baryon. Also, strong decay widths of the low-lying $Ω_b$ states within $^3P_0$ model are calculated. Obtained results are presented with the comparison of available experimental data and other theoretical studies.

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。

↑