Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning

doi:10.1142/S0217732320502181

	Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning
	Lei, Ying-Ke 1,2; Liu, Chun 1,2; Chen, Zhiqiang2,3
发表期刊	MODERN PHYSICS LETTERS A
ISSN	0217-7323
	2020-08-30
卷号	35 期号:26 页码:14
通讯作者	Lei, Ying-Ke(leiyingke@mail.itp.ac.cn)
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.
关键词	Neutrino mass supersymmetry phenomenology CP violation
DOI	10.1142/S0217732320502181
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[11875306]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Astronomy & Astrophysics ; Physics
WOS类目	Astronomy & Astrophysics ; Physics, Nuclear ; Physics, Particles & Fields ; Physics, Mathematical
WOS记录号	WOS:000567775800006
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
七大方向——子方向分类	人工智能基础理论
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41944
专题	脑图谱与类脑智能实验室_神经计算与脑机交互
通讯作者	Lei, Ying-Ke
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):14.
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),14.
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):14.