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arXiv 2203.11802nucl-ex
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246 Fm的自发性fission

Spontaneous fission of 246Fm

A. V. Isaev, R. S. Mukhin, A. V. Andreev, M. A. Bychkov, M. L. Chelnokov, V. I. Chepigin, H. M. Devaraja, O. Dorvaux, M. Forge, B. Gall, K. Hauschild, I. N. Izo… 展开作者

A. V. Isaev, R. S. Mukhin, A. V. Andreev, M. A. Bychkov, M. L. Chelnokov, V. I. Chepigin, H. M. Devaraja, O. Dorvaux, M. Forge, B. Gall, K. Hauschild, I. N. Izosimov, K. Kessaci, A. A. Kuznetsova, A. Lopez-Martens, O. N. Malyshev, A. G. Popeko, Yu. A. Popov, A. Rahmatinejad, B. Sailaubekov, T. M. Shneidman, E. A. Sokol, A. I. Svirikhin, D. A. Testov, M. S. Tezekbayeva, A. V. Yeremin, N. I. Zamyatin, K. Sh. Zhumadilov

摘要:

利用SHELS分离器进行了$^{246}$ Fm自发裂变的实验研究。在$^{40}$ Ar束离子和$^{208}$ Pb靶核的完全聚变反应中合成了该同位素。用SFiNx探测器系统测量了$^{246}$ Fm自发裂变($\overlineν = 3.79\pm0.30$,$σ^{2}_ν = 2.1$)的中子产额。使用统计正则化的Tikhonov方法($\overlineν_{r} = 3.79\pm0.20$,$σ^{2}_{νr} = 2.8$)恢复发射的瞬发中子的多重性分布。测定同位素的自发裂变分支比($b_{SF} = 0.061\pm0.005$)和半衰期($T_{1/2} = 1.50^{+0.08}_{-0.07}$ s)。实验数据进行了比较与断裂点模型的预测。在每个自发裂变过程的平均中子数中观察到极好的收敛。然而,实验和模型的瞬发中子多重性分布的形式显着不同。

英文摘要:

An experiment on the study of the $^{246}$Fm spontaneous fission was conducted using the SHELS separator. The isotope was synthesized in the complete fusion reaction of $^{40}$Ar beam ions and $^{208}$Pb target nuclei. The neutron yields of $^{246}$Fm spontaneous fission ($\overlineν = 3.79\pm0.30$, $σ^{2}_ν = 2.1$) were obtained using the SFiNx detector system. The multiplicity distribution of emitted prompt neutrons was restored using the Tikhonov method of statistical regularisation ($\overlineν_{r} = 3.79\pm0.20$, $σ^{2}_{νr} = 2.8$). The spontaneous fission branching ratio ($b_{SF} = 0.061\pm0.005$) and the half-life ($T_{1/2} = 1.50^{+0.08}_{-0.07}$ s) of the isotope were determined. The experimental data were compared with scission point model predictions. Excellent convergence was observed in the average number of neutrons per spontaneous fission process. However, the forms of the experimental and model prompt neutron multiplicity distributions differ significantly.

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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