论文标题
筛选的Kratzer-Hellmann潜在模型的统计分析和信息理论
Statistical Analysis and Information Theory of Screened Kratzer-Hellmann Potential Model
论文作者
论文摘要
在这项研究中,通过常规的Nikiforov-Uvarov方法研究了新提出的筛选的Kratzer-Hellmann潜在模型的径向Schrodinger方程。除了在分析和数值上,使用Greene-Aldrich近似值获得了Schrodinger方程的近似结合态解,除了对新电位模型的归一化征函数之外,还获得了新的电位模型。这些结果被用来评估筛选的Kratzer-Hellmann电位的旋转振动分区函数和其他热力学特性。我们已经以图形方式讨论了获得的结果。同样,归一化的本征函数已用于计算一些信息理论措施,包括香农熵和费舍尔信息,用于在数值上以位置和动量空间处于低位置和动量空间。我们观察到,香农熵结果与Bialynicki-Birula和Mycielski的不平等达成一致,而获得的Fisher信息结果与Stam,Crammer-Rao不平等达成一致。从我们的结果来看,我们观察到了两个本征态在筛选参数中的交替增加和减少定位。
In this research, the radial Schrodinger equation for a newly proposed screened Kratzer-Hellmann potential model was studied via the conventional Nikiforov-Uvarov method. The approximate bound state solution of the Schrodinger equation was obtained using the Greene-Aldrich approximation, in addition to the normalized eigenfunction for the new potential model both analytically and numerically. These results were employed to evaluate the rotational-vibrational partition function and other thermodynamic properties for the screened Kratzer-Hellmann potential. We have discussed the results obtained graphically. Also, the normalized eigenfunction has been used to calculate some information-theoretic measures including Shannon entropy and Fisher information for low lying states in both position and momentum spaces numerically. We observed that the Shannon entropy results agreed with the Bialynicki-Birula and Mycielski inequality, while the Fisher information results obtained agreed with the Stam, Crammer-Rao inequality. From our results, we observed alternating increasing and decreasing localization across the screening parameter in the both eigenstates.