用贝叶斯神经网络方法预测奇数核的第一次激发能

IF 3.4 3区 物理与天体物理 Q2 PHYSICS, NUCLEAR
T J Gao, H D Wang, Jing-Bin Lu, Yi Lu, Pei-Yao Yang and M J Qin
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引用次数: 0

摘要

我们开发了一个贝叶斯神经网络(BNN)来预测奇-多原子核的第一次激发能量。除了质子数和中子数之外,我们还在输入层中引入了两个经验物理量:一个是用于区分偶-偶核、奇-奇核和奇-A 核的质子数;另一个是用于表示集合度的所谓卡斯滕因子。BNN 使用 434 个奇数-多原子核、649 个偶数-偶数原子核和 1050 个奇数-A 原子核的 1 次激发能量的实验数据集进行训练。经过训练后,BNN 预测奇-多原子核的第一次激发能量的均方根值为 0.21 MeV。图中还显示了 Dy、Gd、Eu 和 Cs 同位素的例子。与投影哈特里-福克方法的结果相比,BNN 结果显示出中等的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the 1st excitation energy of odd–odd nuclei with the Bayesian neural network approach
A Bayesian neural network (BNN) is developed to predict the 1st excitation energy of odd–odd nuclei. Aside from the proton number and neutron number, we introduce two empirical physical quantities into the input layer. is introduced to distinguish even–even, odd–odd and odd-A nuclei; and the so-called Casten factor is introduced to stand for collectivity. The BNN is trained with an experimental dataset of the 1st excitation energy for 434 odd–odd, 649 even–even and 1050 odd-A nuclei. After training, the BNN predicts the 1st excitation energy of odd–odd nuclei with a rms of 0.21 MeV. Examples of Dy, Gd, Eu and Cs isotopes are also shown. The BNN results show moderate predictive ability, in comparison with results from the projected Hartree–Fock method.
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来源期刊
CiteScore
7.60
自引率
5.70%
发文量
105
审稿时长
1 months
期刊介绍: Journal of Physics G: Nuclear and Particle Physics (JPhysG) publishes articles on theoretical and experimental topics in all areas of nuclear and particle physics, including nuclear and particle astrophysics. The journal welcomes submissions from any interface area between these fields. All aspects of fundamental nuclear physics research, including: nuclear forces and few-body systems; nuclear structure and nuclear reactions; rare decays and fundamental symmetries; hadronic physics, lattice QCD; heavy-ion physics; hot and dense matter, QCD phase diagram. All aspects of elementary particle physics research, including: high-energy particle physics; neutrino physics; phenomenology and theory; beyond standard model physics; electroweak interactions; fundamental symmetries. All aspects of nuclear and particle astrophysics including: nuclear physics of stars and stellar explosions; nucleosynthesis; nuclear equation of state; astrophysical neutrino physics; cosmic rays; dark matter. JPhysG publishes a variety of article types for the community. As well as high-quality research papers, this includes our prestigious topical review series, focus issues, and the rapid publication of letters.
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