Power-Law Intensity Distribution of γ-Decay Cascades: Nuclear Structure as a Scale-Free Random Network
Power-Law Intensity Distribution of γ-Decay Cascades: Nuclear Structure as a Scale-Free Random Network
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DOI：
10.1103/physrevlett.126.102502
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发表时间：
2021-03-12
影响因子：
8.6
通讯作者：
Berengut, Julian C.
中科院分区：
文献类型：
--
作者：
Fujii, Keisuke;Berengut, Julian C.
通过使用无标度随机网络模拟核伽马衰变级联的跃迁路径，我们揭示了伽马射线强度Rho(I)(I)与i-2成正比的普适指数分布，其中i是每次跃迁的伽马射线强度。对于国家核数据中心数据库中具有足够数量的伽马射线强度条目的所有数据集，无论涉及的反应类型或核，都一致地观察到这一特性。此外，我们还进行了数值模拟，支持该模型对能级人口密度的预测。
By modeling the transition paths of the nuclear gamma-decay cascade using a scale-free random network, we uncover a universal power-law distribution of gamma-ray intensity rho(I)(I) proportional to I-2, with I the gamma-ray intensity of each transition. This property is consistently observed for all datasets with a sufficient number of gamma-ray intensity entries in the National Nuclear Data Center database, regardless of the reaction type or nuclei involved. In addition, we perform numerical simulations that support the model's predictions of level population density.