scholarly journals Conditions for statistical determination of the neutrino mass spectrum in radiative emission of neutrino pairs in atoms

2016 ◽  
Vol 93 (1) ◽  
Author(s):  
Ningqiang Song ◽  
R. Boyero Garcia ◽  
J. J. Gomez-Cadenas ◽  
M. C. Gonzalez-Garcia ◽  
A. Peralta Conde ◽  
...  
Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 56
Author(s):  
Son Cao ◽  
Nguyen T. Hong Van ◽  
Tran V. Ngoc ◽  
Phan T. Quyen

The fact that neutrinos are massive has been the most crucial evidence of physics beyond the Standard Model of elementary particles. To date, we still do not know how neutrinos get mass and why their mass is much smaller than that of their charged fermion cousins. The precise determination of the neutrino mass spectrum has become one of the central tasks of neutrino physics, providing critical input for understanding the nature of neutrino mass and extending our model. The present landscape of the neutrino mass spectrum is reviewed and explored in this article using data from the neutrino oscillation, cosmology, and beta decay. In addition, we discuss the possibility of relevant programs elucidating the neutrino mass spectrum in the coming decades.


2012 ◽  
Vol 27 (28) ◽  
pp. 1250159 ◽  
Author(s):  
P. M. FERREIRA ◽  
L. LAVOURA

We suggest a simple model, based on the type-I seesaw mechanism, for the lepton mass matrices. The model hinges on an Abelian symmetry which leads to mass matrices with some vanishing matrix elements. The model predicts one massless neutrino and Meμ = 0 (M is the effective light-neutrino Majorana mass matrix). We show that these predictions agree with the present experimental data if the neutrino mass spectrum is inverted, i.e. if m3 = 0, provided the Dirac phase δ is very close to maximal (±π/ 2). In the case of a normal neutrino mass spectrum, i.e. when m1 = 0, the agreement of our model with the data is imperfect — the reactor mixing angle θ13 is too small in our model. Minimal leptogenesis is not an option in our model due to the vanishing elements in the Yukawa-coupling matrices.


2014 ◽  
Vol 89 (1) ◽  
Author(s):  
Jiajun Liao ◽  
D. Marfatia ◽  
K. Whisnant

Sign in / Sign up

Export Citation Format

Share Document