PMO OpenIR  > 暗物质和空间天文实验室
Minimal seesaw model with S-4 flavor symmetry
Yang, Rui-Zhi1,2,3; Zhang, He1
2011-06-20
Source PublicationPHYSICS LETTERS B
Volume700Issue:5Pages:316-321
AbstractWe discuss a neutrino mass model based on the S-4 flavor symmetry within the minimal seesaw framework, in which only two right-handed neutrinos are introduced and transform as 2 under S-4. Although the model contains less free parameters compared to the typical seesaw models, it provides a successful description of the observed neutrino parameters, and in particular, a nearly tri-bimaximal mixing pattern can be naturally accommodated. In addition, the heavy right-handed neutrino masses are found to be non-degenerate, while only the normal hierarchical mass spectrum is compatible with experiments for light neutrinos. (C) 2011 Published by Elsevier B.V.
KeywordNeutrino Mass Flavor Symmetry Seesaw Models
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1016/j.physletb.2011.05.014
WOS KeywordNEUTRINO MASSES ; CP-VIOLATION ; PERMUTATION SYMMETRY ; LEPTONS ; MATRIX
Indexed BySCI
Language英语
WOS Research AreaPhysics
WOS SubjectPhysics, Multidisciplinary
WOS IDWOS:000292174900006
Citation statistics
Cited Times:16[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/15968
Collection暗物质和空间天文实验室
Affiliation1.Max Planck Inst Kernphys, D-69029 Heidelberg, Germany
2.Chinese Acad Sci, Purple Mt Observ, Nanjing 210008, Peoples R China
3.Chinese Acad Sci, Grad Sch, Beijing 100012, Peoples R China
Recommended Citation
GB/T 7714
Yang, Rui-Zhi,Zhang, He. Minimal seesaw model with S-4 flavor symmetry[J]. PHYSICS LETTERS B,2011,700(5):316-321.
APA Yang, Rui-Zhi,&Zhang, He.(2011).Minimal seesaw model with S-4 flavor symmetry.PHYSICS LETTERS B,700(5),316-321.
MLA Yang, Rui-Zhi,et al."Minimal seesaw model with S-4 flavor symmetry".PHYSICS LETTERS B 700.5(2011):316-321.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Rui-Zhi]'s Articles
[Zhang, He]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Rui-Zhi]'s Articles
[Zhang, He]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Rui-Zhi]'s Articles
[Zhang, He]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.