论文标题
$γ$ -Decay Cascades中的幂律强度分布 - 核结构作为无比例的随机网络
Power-law intensity distribution in $γ$-decay cascades -- Nuclear Structure as a Scale-Free Random Network
论文作者
论文摘要
通过使用无尺度随机网络对核$γ$ -Decay级联的过渡路径进行建模，我们发现了通用的幂律分布$γ$ -Ray强度$ρ_i（i）\ propto i^{ - 2} $，并带有$ i $ i $ i $γ$ ray-ray ray-ray-ray ray ray强度。对于所有涉及的反应类型或核，在国家核数据中心数据库中，所有数据集都始终观察到该特性。此外，我们执行数值模拟，以支持该模型对水平人口密度的预测。
By modeling the transition paths of the nuclear $γ$-decay cascade using a scale-free random network, we uncover a universal power-law distribution of $γ$-ray intensity $ρ_I(I) \propto I^{-2}$, with $I$ the $γ$-ray intensity of each transition. This property is consistently observed for all datasets with a sufficient number of $γ$-ray intensity entries in the National Nuclear Data Center database, regardless of the reaction type or nuclei involved. In addition, we perform numerical simulations which support the model's predictions of level population density.
