Knowledge Management System of Institute of Theoretical Physics, CAS
Lei, Ying-Ke; Liu, Chun1 ; Chen, Zhiqiang1,2
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| Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning | |
| Source Publication | MODERN PHYSICS LETTERS A
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| Language | 英语 |
| Abstract | 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. |
| 2020 | |
| ISSN | 0217-7323 |
| Volume | 35Issue:26Pages:2050218 |
| Cooperation Status | 国内 |
| Subject Area | Astronomy & Astrophysics ; Physics |
| MOST Discipline Catalogue | Astronomy & Astrophysics ; Physics, Nuclear ; Physics, Particles & Fields ; Physics, Mathematical |
| DOI | 10.1142/S0217732320502181 |
| Indexed By | SCIE |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.itp.ac.cn/handle/311006/27420 |
| Collection | SCI期刊论文 |
| Affiliation | 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 |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Numerical analysis o（986KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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