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arXiv 2005.04636nucl-th
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基于核质量奇偶交错的$A\geq100$的核binding energy研究

The study of Nuclear binding energy for $A\geq100$ based on Odd-Even staggering of nuclear masses

B. B. Jiao

摘要:

现有的核质量公式和核质量模型无疑取得了很好的结果,但对某些核质量仍不令人满意。虽然核质量的奇偶交错(OES)研究很多,但利用OES的系统性对核质量进行研究的却很少。本文的目的是描述一个核质量奇偶交错的经验公式,它可以用来描述和预测核质量。我们在研究原子核质量OES的基础上,经验性地得到了奇Z(奇N)核和偶Z(偶N)核的公式(AME 2012)。利用OES结合能和AME 2012数据库中的质子(中子)经验配对能隙,我们成功地得到了偶Z核和奇Z核的均方根偏差分别为208 keV和238 keV。偶N核和奇N核的RMSD分别为222 keV和240 keV。结果表明,我们的预测值与AME 2016中的值进行了比较,一些预测值与实验值吻合得更好。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,它们使用较少已知的核质量来预测未知的核质量。此外,本文还利用BP神经网络研究了质子奇偶交错核质量(偶Z核和奇Z核)和中子奇偶交错核质量(偶N核和奇N核)。偶Z核和奇Z核的RMSD分别为141 keV和159 keV;偶N核和奇N核的RMSD分别为150 keV和160 keV。结果表明,基于神经网络的60-80 keV核质量的RMSD比基于经验公式的RMSD降低(精度提高约32%)。准确的核质量有助于核物理、核技术和天体物理的研究。

英文摘要:

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.

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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