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

doi:10.1142/S0217732320502181

CORC > 自动化研究所 > 中国科学院自动化研究所 > 类脑智能研究中心 > 神经计算及脑机交互

	Numerical analysis of neutrino physics within a high-scale supersymmetry model via machine learning
	Lei, Ying-Ke 1,2; Liu, Chun 1,2; Chen, Zhiqiang 1,3
刊名	MODERN PHYSICS LETTERS A
	2020-08-30
卷号	35 期号:26 页码:14
关键词	Neutrino mass supersymmetry phenomenology CP violation
ISSN号	0217-7323
DOI	10.1142/S0217732320502181
通讯作者	Lei, Ying-Ke(leiyingke@mail.itp.ac.cn)
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.
资助项目	National Natural Science Foundation of China[11875306]
WOS研究方向	Astronomy & Astrophysics ; Physics
语种	英语
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
WOS记录号	WOS:000567775800006
资助机构	National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/41943]
专题	类脑智能研究中心_神经计算及脑机交互
通讯作者	Lei, Ying-Ke
作者单位	1.Univ Chinese Acad Sci, Sch Phys Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Theoret Phys, CAS Key Lab Theoret Phys, Beijing 100190, 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.