Realizing tri-bimaximal mixing in minimal seesaw model with S4 family symmetry
文献类型:期刊论文
作者 | Zhao, ZH |
刊名 | PHYSICS LETTERS B
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出版日期 | 2011 |
卷号 | 701期号:5页码:609-613 |
关键词 | NEUTRINO MASS MATRIX CP-VIOLATION LEPTOGENESIS OSCILLATION HIERARCHY |
ISSN号 | 0370-2693 |
通讯作者 | Zhao, ZH (reprint author), Chinese Acad Sci, Inst Theoret Phys, POB 2735, Beijing 100190, Peoples R China. |
英文摘要 | In this Letter, we realize the tri-bimaximal mixing in the lepton sector in the context of minimal seesaw in which only two right-handed neutrinos are introduced, with the discrete group S4 as the family symmetry. In order to constrain the form of superpotential, a Z3 symmetry is also introduced. In the model, the mass matrices for charged leptons and right-handed neutrinos are diagonal. The unitary matrix that diagonalizes the light Majorana neutrino mass matrix is exact tri-bimaximal at LO, and is corrected by small quantities of O(0.01) at NLO. The mechanism to get the particular scalar VEV alignments used is also presented. Phenomenologically, the mass spectrum is of normal hierarchy with m(1) = 0, and Sigma m(i) and vertical bar m(ee)vertical bar are about 0.058 eV and 0.003 eV respectively. (C) 2011 Elsevier B.V. All rights reserved. |
学科主题 | Physics |
收录类别 | SCI |
资助信息 | National Natural Science Foundation of China [11075193, 10821504]; National Basic Research Program of China [2010CB833000] |
原文出处 | http://dx.doi.org/10.1016/j.physletb.2011.06.050 |
语种 | 英语 |
WOS记录号 | WOS:000293438100016 |
公开日期 | 2013-05-17 |
源URL | [http://ir.itp.ac.cn/handle/311006/14311] ![]() |
专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
推荐引用方式 GB/T 7714 | Zhao, ZH. Realizing tri-bimaximal mixing in minimal seesaw model with S4 family symmetry[J]. PHYSICS LETTERS B,2011,701(5):609-613. |
APA | Zhao, ZH.(2011).Realizing tri-bimaximal mixing in minimal seesaw model with S4 family symmetry.PHYSICS LETTERS B,701(5),609-613. |
MLA | Zhao, ZH."Realizing tri-bimaximal mixing in minimal seesaw model with S4 family symmetry".PHYSICS LETTERS B 701.5(2011):609-613. |
入库方式: OAI收割
来源:理论物理研究所
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