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作 者:李佳星 张鸿飞 Jia-Xing Li;Hong-Fei Zhang(School of Physics,Xi’an Jiaotong University,Xi’an 710049,China;School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China)
机构地区:[1]School of Physics,Xi’an Jiaotong University,Xi’an 710049,China [2]School of Nuclear Science and Technology,Lanzhou University,Lanzhou 730000,China
出 处:《Chinese Physics C》2023年第12期124-130,共7页中国物理C(英文版)
基 金:the National Natural Science Foundation of China(12175170,11675066)。
摘 要:This study proposes an optimized method for estimating atomic nucleus masses by combining the finiterangedroplet model (FRDM) with the support vector machine algorithm. The optimization process significantly improvesthe accuracy of the FRDM by reducing the root mean square error from 0.606 to 0.253 MeV. The optimizedmass data obtained from this method are then used to calculate the evaporation residue cross-sections (ERCSs) forfusion-evaporation reactions, employing the di-nuclear system model. The experimental results for the 48Ca+238U reactionare relatively well reproduced using these optimized mass data. Additionally, the study investigates the impactof mass uncertainties on fusion and survival probabilities. By considering the mass uncertainties, the ERCSs fornew elements 119 and 120 are predicted based on the obtained optimized mass data.
关 键 词:superheavy nuclei SVM algorithm DNS model evaporation residue cross-sections
分 类 号:O571[理学—粒子物理与原子核物理] TP181[理学—物理]
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