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ファイル | 記述 | サイズ | フォーマット | |
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PhysRevLett.126.102502.pdf | 1.98 MB | Adobe PDF | 見る/開く |
タイトル: | Power-Law Intensity Distribution of γ-Decay Cascades: Nuclear Structure as a Scale-Free Random Network |
著者: | Fujii, Keisuke Berengut, Julian C. |
著者名の別形: | 藤井, 恵介 |
キーワード: | Heavy-particle decays Nuclear structure & decays Proton emission Thermal & statistical models Nuclear Physics Interdisciplinary Physics |
発行日: | Mar-2021 |
出版者: | American Physical Society (APS) |
誌名: | Physical Review Letters |
巻: | 126 |
号: | 10 |
論文番号: | 102502 |
抄録: | 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 ρI(I)∝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 that support the model’s predictions of level population density. |
著作権等: | Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Open access publication funded by the Max Planck Society. |
URI: | http://hdl.handle.net/2433/276934 |
DOI(出版社版): | 10.1103/physrevlett.126.102502 |
PubMed ID: | 33784135 |
出現コレクション: | 学術雑誌掲載論文等 |
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