论文标题
基于奇特的核质量奇特的核约合能量的研究
The study of Nuclear binding energy for $A\geq100$ based on Odd-Even staggering of nuclear masses
论文作者
论文摘要
现有的核质量公式和核质量模型无疑取得了很好的效果，但对于某些核质量仍然不满意。尽管在核质量的奇怪（OES）中有许多研究，但是使用OES的系统性的核质量研究确实很少。本文我们的目的是描述一个奇怪的核质量奇怪的经验公式，这些公式可用于描述和预测核质量。我们从经验上获得了基于研究核量的OE的OD-Z（ODD-N）核和偶数-Z（偶数N）核的公式（AME2012）。通过来自结合能和AME2012数据库的质子（中子）经验配对差距，我们分别成功获得了208 keV和238 keV的偶数和奇数-Z核的根平方偏差。偶数N核和ODD-N核的RMSD为222 KEV和240 KEV。结果表明，我们的预测值与AME2016中的值很好地比较，并且一些预测值与实验值更好。这些结果表明，我们的经验公式具有良好的准确性和可靠性。这些公式的另一个优点是，它们使用鲜为人知的核量来预测未知的核质量。此外，本文还使用BP神经网络来研究核质量（偶数Z和ODD-Z核）的质子奇数奇数，而核质量（偶数N和ODD-N核）的中子奇数奇异。 Even-Z和Odd-Z核的RMSD为141 keV，159 keV；偶数N和奇数N核的RMSD为150 keV和160 keV。结果表明，基于神经网络60-80 KEV的核肿块的RMSD比基于经验公式的RMSD降低（精度提高了约32％）。准确的核量有助于研究核物理，核技术和天体物理学。
The existing nuclear masses formula and nuclear masses model has undoubtedly achieved very good results, but it is still not satisfactory for some nuclear masses. Although there are many studies in Odd-Even staggering (OES) of nuclear masses, but the research on nuclear masses by using the systematicness of OES is indeed very few. Our purpose in this paper is to describe an empirical formula for Odd-Even staggering of nuclear masses that can be useful in describing and predicting nuclear masses. We empirically obtained the formula of odd-Z (odd-N) nuclei and even-Z (even-N) nuclei based on studying the OES of nuclear masses (AME2012). With the proton (neutron) empirical pairing gap from the OES of the binding energies and AME2012 database, the root-mean-square deviation of even-Z nuclei and odd-Z nuclei that we have successfully obtained 208 keV and 238 keV, respectively. The RMSD of even-N nuclei and odd-N nuclei is 222 keV and 240 keV. The result shows that our predicted values are compared well with values in AME2016, and some predicted values agree better with the experimental values. These results demonstrate that our empirical formulas have good accuracy and reliability. Another advantage of these formulas is that they use less known nuclear masses to predict unknown nuclear masses. In addition, this paper also uses BP neural network to study proton Odd-Even staggering of nuclear masses (even-Z and odd-Z nuclei) and neutron Odd-Even staggering of nuclear masses (even-N and odd-N nuclei). The RMSD of even-Z and odd-Z nuclei is 141 keV and 159 keV; the RMSD of even-N and odd-N nuclei is 150 keV and 160 keV. The results show that the RMSD of nuclear masses based on neural network 60-80 keV decrease than that based on empirical formula (the accuracy is increased by about 32%). Accurate nuclear mass is helpful to the research of nuclear physics, nuclear technology and astrophysics.
