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We investigate the see-saw mechanism for generally non-fine-tuned $n \times n$ mass matrices involving both Dirac and Majorana neutrinos. We specifically show that the number of naturally light neutrinos cannot exceed half of the dimension…

高能物理 - 唯象学 · 物理学 2009-11-07 Manfred Lindner , Tommy Ohlsson , Gerhart Seidl

Motivated by recent measurements of a relatively large \theta_{13} in the Daya Bay and RENO reactor neutrino experiments, we carry out a systematic analysis of the hybrid textures of Majorana neutrino mass matrix $M_\nu$, which contain one…

高能物理 - 唯象学 · 物理学 2013-05-30 Ji-Yuan Liu , Shun Zhou

We propose a natural realization of inverse seesaw model with right-handed and flavor dependent $U(1)$ gauge symmetries, in which we formulate the neutrino mass matrix to reproduce current neutrino oscillation data in a general way. Also we…

高能物理 - 唯象学 · 物理学 2018-08-21 Takaaki Nomura , Hiroshi Okada

We study a scale invariant inverse seesaw model that radiatively generates the electroweak scale, the Standard Model (SM) neutrino masses, and stabilizes the electroweak vacuum. Previous studies have noted that the SM Higgs potential and…

高能物理 - 唯象学 · 物理学 2025-11-07 Aqeel Ahmed , Juan P. Garcés , Manfred Lindner

A phenomenological approach for the universal mass matrix model with a broken flavor 2 <-> 3 symmetry is explored by introducing the 2 <-> 3 antisymmetric parts of mass matrices for quarks and charged leptons . We present explicit texture…

高能物理 - 唯象学 · 物理学 2009-11-11 Koichi Matsuda , Hiroyuki Nishiura

We propose a model that all quark and lepton mass matrices have the same zero texture. Namely their (1,1), (1,3) and (3,1) components are zeros. The mass matrices are classified into two types I and II. Type I is consistent with the…

高能物理 - 唯象学 · 物理学 2009-10-31 H. Nishiura , K. Matsuda , T. Fukuyama

General Majorana neutrino mass matrix is complex symmetric and for three generations of neutrinos it contains 12 real parameters. We diagonalize this general neutrino mass matrix and express the three neutrino masses, three mixing angles,…

高能物理 - 唯象学 · 物理学 2015-06-16 Biswajit Adhikary , Mainak Chakraborty , Ambar Ghosal

We study the range of the elements of the neutrino mass matrix m_nu in the charged lepton basis. Neutrino-less double beta decay is sensitive to the ee element of m_nu. We then analyze the phenomenological implications of single texture…

高能物理 - 唯象学 · 物理学 2011-06-24 A. Merle , W. Rodejohann

We study a specific texture of the neutrino mass matrix, namely the models with one $2\times 2$ subdeterminant equal to zero. We carry out a complete phenomenological analysis with all possible relevant correlations. Every pattern of the…

高能物理 - 唯象学 · 物理学 2010-01-08 E. I. Lashin , N. Chamoun

It has long been pointed out that there are seven different two-zero texture neutrino mass matrices compatible with neutrino oscillation data. We perform an updated analysis with the recently published Nu-Fit 6.0 results. We also subject…

高能物理 - 唯象学 · 物理学 2025-04-08 Wararat Treesukrat , Nopmanee Supanam , Patipan Uttayarat

We propose a neutrino mass matrix model in which five neutrino species remain light through the seesaw mechanism within a supersymmetric $3\nu_L+3\nu_R$ framework. We construct such a model based on the nonrenormalizable terms in the…

高能物理 - 唯象学 · 物理学 2016-12-28 Daijiro Suematsu

The see-saw mechanism to generate small neutrino masses is reviewed. After summarizing our current knowledge about the low energy neutrino mass matrix we consider reconstructing the see-saw mechanism. Low energy neutrino physics is not…

高能物理 - 唯象学 · 物理学 2009-06-19 Werner Rodejohann

Implications of texture specific mass matrices have been investigated for both quarks and neutrinos. Interestingly, for the case of quarks Fritzsch-like texture 4 zero mass matrices have been found to be compatible with the present…

高能物理 - 唯象学 · 物理学 2015-05-14 Manmohan Gupta , Gulsheen Ahuja , Rohit Verma

We provide a classification of generalized CP symmetries preserved by the neutrino mass matrix according to the number of zero entries in the associated transformation matrix. We determine the corresponding constrained form of the lepton…

高能物理 - 唯象学 · 物理学 2016-08-10 Peng Chen , Gui-Jun Ding , Felix Gonzalez-Canales , J. W. F. Valle

The implications of a large value of the effective Majorana neutrino mass for a class of two texture zero neutrino mass matrices have been studied in the flavor basis. It is found that these textures predict near maximal atmospheric…

高能物理 - 唯象学 · 物理学 2014-08-06 S. Dev , Radha Raman Gautam , Lal Singh , Manmohan Gupta

We study the see-saw realization of seven textures of the neutrino mass matrix, which were presented by Frampton, Glashow and Marfatia. Two of them B_1 and B_2 are not realized in the see-saw mechanism without fine-tuning of parameters. We…

高能物理 - 唯象学 · 物理学 2015-06-25 A. Kageyama , S. Kaneko , N. Shimoyama , M. Tanimoto

In the present paper, we have studied that the implication of a large value of the effective Majorana neutrino mass in case of neutrino mass matrices having either two equal elements and one zero element (popularly known as hybrid texture)…

高能物理 - 唯象学 · 物理学 2019-11-14 Madan Singh

Cyclic symmetry in the neutrino sector with the type-I seesaw mechanism in the mass basis of charged leptons and right chiral neutrinos ($N_{iR}$, $i=e,\mu,\tau$) generates two fold degenerate light neutrino and three fold degenerate heavy…

高能物理 - 唯象学 · 物理学 2016-06-08 Biswajit Adhikary , Mainak Chakraborty , Ambar Ghosal

We introduce a novel hybrid framework combining type I and type II seesaw models for neutrino mass where a complex vacuum expectation value of a singlet scalar field breaks CP spontaneously. Using pragmatic organizing symmetries we…

高能物理 - 唯象学 · 物理学 2023-06-21 Rohan Pramanick , Tirtha Sankar Ray , Avirup Shaw

We present a new texture of neutrino mass matrix having three complex relations among its elements and study in detail the phenomenological implications. A characteristic feature of the resulting neutrino mass matrix is that the atmospheric…

高能物理 - 唯象学 · 物理学 2021-07-19 Radha Raman Gautam , Sanjeev Kumar
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