scholarly journals Enhancement of the annihilation of dark matter in a radiative seesaw model

2010 ◽  
Vol 82 (1) ◽  
Author(s):  
Daijiro Suematsu ◽  
Takashi Toma ◽  
Tetsuro Yoshida
Keyword(s):  
Dark Matter ◽  
Seesaw Model

scholarly journals Radiative seesaw model with degenerate Majorana dark matter

2016 ◽  
Vol 93 (11) ◽  
Author(s):  
Takaaki Nomura ◽  
Hiroshi Okada ◽  
Yuta Orikasa
Keyword(s):  
Dark Matter ◽  
Seesaw Model

INVESTIGATIONS OF THE FLAVOR SYMMETRY, RADIATIVE SEESAW MODEL AND COLD DARK MATTER

2007 ◽  
Vol 16 (05) ◽  
pp. 1541-1556
Author(s):  
HIROSHI OKADA
Keyword(s):  
Dark Matter ◽  
Cold Dark Matter ◽  
Vacuum Expectation ◽  
The Other ◽  
Type Model ◽  
Flavor Symmetry ◽  
Heavy Particles ◽  
Neutrino Sector ◽  
Seesaw Model ◽  
The Masses

It is now clear that the masses of the neutrino sector are much lighter than those of the other three sectors. Canonial seesaw model would be the most famous for the above explanation. But one must introduce heavy particles that will not be able to observed with present scientific technologies. On the other hand, there are many attempts to explain the neutrino masses radiatively by means of inert Higgses, which do not have the vacuum expectation values. Then one can discuss cold dark matter candidates, because of no needing so heavy particles. The most famous work would be the Zee model17. Recently a new type model (hep-ph/0601225)4 along this line of thought was proposed by E. Ma. We adopted this idea, and then we introduced a new flavor symmetry to constrain the Yukawa sector. So our model might be more predictive, and can be investigated at LHC. I will present how we can obserb the particular signal at LHC, and what we can predict about the neutrino sector.

scholarly journals Low scale leptogenesis and dark matter candidates in an extended seesaw model

2008 ◽  
Vol 2008 (05) ◽  
pp. 004 ◽  
Author(s):  
H Sung Cheon ◽  
Sin Kyu Kang ◽  
C S Kim
Keyword(s):  
Dark Matter ◽  
Seesaw Model

scholarly journals One-loop radiative seesaw dark matter and neutrinoless double beta decay with two zero flavor neutrino mass texture

2017 ◽  
Vol 32 (32) ◽  
pp. 1750186 ◽  
Author(s):  
Teruyuki Kitabayashi ◽  
Shinya Ohkawa ◽  
Masaki Yasuè
Keyword(s):  
Dark Matter ◽  
Beta Decay ◽  
Neutrino Mass ◽  
Neutrinoless Double Beta Decay ◽  
Double Beta Decay ◽  
Seesaw Model ◽  
Dark Matter Mass ◽  
The One ◽  
Analytical Expressions

We discuss the linkage between dark matter mass in the one-loop radiative seesaw model and the effective neutrino mass for the neutrinoless double beta decay. This linkage, which has been already numerically suggested, is confirmed to be a reasonable relationship by deriving analytical expressions for two zero flavor neutrino mass texture.

scholarly journals A hybrid seesaw model and hierarchical neutrino flavor structures based on A4 symmetry

2021 ◽  
Author(s):  
Mayumi Aoki ◽  
Daiki Kaneko
Keyword(s):  
Dark Matter ◽  
Neutrino Mass ◽  
Mass Matrix ◽  
Hierarchical Structures ◽  
Double Beta Decay ◽  
Tree Level ◽  
Dark Matter Candidate ◽  
Flavor Symmetry ◽  
Seesaw Model ◽  
Majorana Phases

Abstract We propose a hybrid seesaw model based on A4 flavor symmetry, which generates a large hierarchical flavor structure. In our model, tree-level and one-loop seesaw mechanisms predict different flavor structures in the neutrino mass matrix, and generate a notable hierarchy among them. We find that such a hierarchical structure gives a large effective neutrino mass which can be accessible by next-generation neutrinoless double beta decay experiments. Majorana phases can also be predictable. The A4 flavor symmetry in the model is spontaneously broken to the Z2 symmetry, leading to a dark matter candidate which is assumed to be a neutral scalar field. The favored mass region of the dark matter is obtained by numerical computations of the relic abundance and the cross section of the nucleon. We also investigate the predictions of the several hierarchical flavor structures based on A4 symmetry for the effective neutrino mass and the Majorana phases, and find the characteristic features depending on the hierarchical structures.

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