论文标题
通过人工神经网络对激发$ω_b^ - $状态的$ω_b^ - $状态
A Study of Excited $Ω_b^-$ States in Hypercentral Constituent Quark Model via Artificial Neural Network
论文作者
论文摘要
在这项工作中，我们获得了质谱，辐射衰减的宽度和较强的衰减宽度的浓烈衰减宽度$ω_b^ - $状态，即$ω_b（6316）^ - $，$，$ω_b（6330）^ - $，$，$ω_b（6340）^ - $（6340）^ - $，$ω__b（6350）^ - 6350）质谱是通过Artificila神经网络（ANN）求解六维非固定的Schrödinger方程，在高中心组成夸克模型（HCQM）中获得。在这方面，辐射衰减是通过从梅森到巴里昂的框架的概括来计算的。同样，计算了$^3p_0 $型号之内的低洼$ω_b$状态的强衰减宽度。通过比较可用的实验数据和其他理论研究，获得了获得的结果。
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.
