Abstract

Using the well established principles of Lorentz invariance, CP and CPT symmetry, and quantum statistics we do a model-independent study of effects of possible non-standard couplings of (Dirac and Majorana) neutrinos. The study is sensitive to the different quantum statistical properties of the Dirac and Majorana neutrinos which, contrary to neutrino-mediated processes of lepton number violation, could lead to observable effects not suppressed by the small ratios of neutrino and heavier particle masses. For processes with a neutrino-antineutrino pair of the same flavor in the final state, we formulate the “Dirac Majorana confusion theorem (DMCT)” showing why it is normally very difficult to observe the different behaviour of both kinds of neutrinos in experiments if they have only the standard model (SM)-like left-handed vector couplings to gauge bosons. We discuss deviations from the confusion theorem in the presence of non-standard neutrino interactions, allowing to discover or constrain such novel couplings. We illustrate the general results with two chosen examples of neutral current processes, Zνν¯ and PiPfνν¯ (with Pi,f denoting pseudoscalar mesons, such as B,K,π). Our analysis shows that using 3-body decays the presence of non-standard interactions can not only be constrained but one can also distinguish between Dirac and Majorana neutrino possibilities.

Details

Title
Probing the non-standard neutrino interactions using quantum statistics
Author
Kim, C. S. 1 ; Rosiek, Janusz 2 ; Sahoo, Dibyakrupa 2   VIAFID ORCID Logo 

 Yonsei University, Department of Physics and IPAP, Seoul, Korea (GRID:grid.15444.30) (ISNI:0000 0004 0470 5454); Dongshin University, Institute of High Energy Physics, Naju, Korea (GRID:grid.412069.8) (ISNI:0000 0004 1770 4266) 
 University of Warsaw, Faculty of Physics, Warsaw, Poland (GRID:grid.12847.38) (ISNI:0000 0004 1937 1290) 
Pages
221
Publication year
2023
Publication date
Mar 2023
Publisher
Springer Nature B.V.
ISSN
14346044
e-ISSN
14346052
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2787440696
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.