Chinese Physics C > 2023, Vol. 47 > Issue(12): 124105 DOI: 10.1088/1674-1137/ad021f

Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data

Jia-Xing Li¹,
Hong-Fei Zhang^2,,

1.
School of Physics, Xi’an Jiaotong University, Xi’an 710049, China
2.
School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China

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Abstract：
This study proposes an optimized method for estimating atomic nucleus masses by combining the finite-range droplet model (FRDM) with the support vector machine algorithm. The optimization process significantly improves the accuracy of the FRDM by reducing the root mean square error from 0.606 to 0.253 MeV. The optimized mass data obtained from this method are then used to calculate the evaporation residue cross-sections (ERCSs) for fusion-evaporation reactions, employing the di-nuclear system model. The experimental results for the ⁴⁸Ca+ ²³⁸U reaction are relatively well reproduced using these optimized mass data. Additionally, the study investigates the impact of mass uncertainties on fusion and survival probabilities. By considering the mass uncertainties, the ERCSs for new elements 119 and 120 are predicted based on the obtained optimized mass data.
- superheavy nuclei,
- SVM algorithm,
- DNS model,
- evaporation residue cross-sections

References

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Jia-Xing Li and Hong-Fei Zhang. Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data[J]. Chinese Physics C. doi: 10.1088/1674-1137/ad021f

Jia-Xing Li and Hong-Fei Zhang. Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data[J]. Chinese Physics C. doi:10.1088/1674-1137/ad021f shu

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Received: 2023-07-25

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通讯作者:陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data

1. School of Physics, Xi’an Jiaotong University, Xi’an 710049, China

2. School of Nuclear Science and Technology, Lanzhou University, Lanzhou 730000, China

Received Date:2023-07-25

Available Online:2023-12-15

Abstract:This study proposes an optimized method for estimating atomic nucleus masses by combining the finite-range droplet model (FRDM) with the support vector machine algorithm. The optimization process significantly improves the accuracy of the FRDM by reducing the root mean square error from 0.606 to 0.253 MeV. The optimized mass data obtained from this method are then used to calculate the evaporation residue cross-sections (ERCSs) for fusion-evaporation reactions, employing the di-nuclear system model. The experimental results for the⁴⁸Ca+²³⁸U reaction are relatively well reproduced using these optimized mass data. Additionally, the study investigates the impact of mass uncertainties on fusion and survival probabilities. By considering the mass uncertainties, the ERCSs for new elements 119 and 120 are predicted based on the obtained optimized mass data.

Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data

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Evaporation residue cross sections of superheavy nuclei based on optimized nuclear data

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