Hybrid Textures of Neutrino Mass Matrix under the Lamppost of Latest Neutrino and Cosmology Data
| Autor: | Rupam Kalita, Debasish Borah |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Physics
Nuclear and High Energy Physics Particle physics 010308 nuclear & particles physics High Energy Physics::Phenomenology FOS: Physical sciences Astronomy and Astrophysics Mass matrix 01 natural sciences Atomic and Molecular Physics and Optics symbols.namesake MAJORANA High Energy Physics - Phenomenology Baryon asymmetry High Energy Physics - Phenomenology (hep-ph) Double beta decay Leptogenesis 0103 physical sciences symbols High Energy Physics::Experiment Planck Neutrino 010306 general physics Lepton |
| Popis: | We study all possible neutrino mass matrices with one zero element and two equal non-zero elements, known as hybrid texture neutrino mass matrices. In the diagonal charged lepton basis, we consider thirty nine such possible cases which are consistent with the latest neutrino data. Using the two constraints on neutrino mass matrix elements imposed by hybrid textures, we numerically evaluate the neutrino parameters like the lightest neutrino mass $m_{\text{lightest}}$, one Dirac CP phase $\delta$ and two Majorana CP phases $\alpha, \beta$ by using the global fit $3\sigma$ values of three mixing angles and two mass squared differences. We then constrain this parameter space by using the cosmological upper bound on the sum of absolute neutrino masses given by Planck experiment. We also calculate the effective neutrino mass matrix for this region of parameter space which may have relevance in future neutrinoless double beta decay experiments. We finally discriminate between these hybrid texture mass matrices from the requirement of producing correct baryon asymmetry through type I seesaw leptogenesis. We also constrain the light neutrino parameter space as well as the lightest right handed neutrino mass from the constraint on baryon asymmetry of the Universe from Planck experiment. Comment: 32 pages, 14 figures |
| Databáze: | OpenAIRE |
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