Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning
文献类型：期刊论文
| 作者 | Lei, Ying-Ke; Liu, Chun1 ; Chen, Zhiqiang1,2
|
| 刊名 | MODERN PHYSICS LETTERS A
 |
| 出版日期 | 2020 |
| 卷号 | 35期号:26页码:2050218 |
| ISSN号 | 0217-7323 |
| DOI | 10.1142/S0217732320502181 |
| 英文摘要 | A machine learning method is applied to analyze lepton mass matrices numerically. The matrices were obtained within a framework of high-scale supersymmetry (SUSY) and a flavor symmetry, which are too complicated to be solved analytically. In this numerical calculation, the heuristic method in machine learning is adopted. Neutrino masses, mixings, and CP violation are obtained. It is found that neutrinos are normally ordered and the favorable effective Majorana mass is about 7 x 10(-3) eV. |
| 学科主题 | Astronomy & Astrophysics ; Physics |
| 语种 | 英语 |
| 源URL | [http://ir.itp.ac.cn/handle/311006/27420]  |
| 专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
| 作者单位 | 1.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci CASIA, Res Ctr Brain Inspired Intelligence, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lei, Ying-Ke,Liu, Chun,Chen, Zhiqiang. Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning[J]. MODERN PHYSICS LETTERS A,2020,35(26):2050218. |
| APA | Lei, Ying-Ke,Liu, Chun,&Chen, Zhiqiang.(2020).Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning.MODERN PHYSICS LETTERS A,35(26),2050218. |
| MLA | Lei, Ying-Ke,et al."Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning".MODERN PHYSICS LETTERS A 35.26(2020):2050218. |
入库方式： OAI收割
来源：理论物理研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。