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We introduce a lepton mass generation and flavor mixing model, realized through a (2,3) inverse seesaw structure based on modular \( S_4 \) symmetry. The model employs modular forms to construct the lepton Yukawa couplings, significantly…

高能物理 - 唯象学 · 物理学 2025-09-23 Abhishek , V. Suryanarayana Mummidi

In order to explain the fermion masses and mixings naturally, we introduce a specific flavor symmetry and mass suppression pattern that constrain the flavor structure of the fermion Yukawa couplings. Our model describes why the hierarchy of…

高能物理 - 唯象学 · 物理学 2015-06-18 Y. H. Ahn , Paolo Gondolo

We show that holographic composite Higgs Models with a discrete A4 symmetry naturally predict hierarchical charged lepton masses and an approximate tri-bimaximal lepton mixing with the correct scale of neutrino masses. They also satisfy…

高能物理 - 唯象学 · 物理学 2014-11-20 Francisco del Aguila , Adrian Carmona , Jose Santiago

In the framework of non-holomorphic modular invariance approach, we have systematically constructed all minimal lepton models based on the non-holomorphic $A^{\prime}_{5}$ modular symmetry from a bottom-up approach. In these models, the…

高能物理 - 唯象学 · 物理学 2025-09-19 Cai-Chang Li , Gui-Jun Ding

We study the prediction for leptogenesis in two renormalizable supersymmetric $SO(10)\times A_4$ modular models in which the neutrino mass is dominantly generated by the type I seesaw mechanism. The evolution of the lepton asymmetries are…

高能物理 - 唯象学 · 物理学 2022-10-26 Gui-Jun Ding , Stephen F. King , Jun-Nan Lu , Bu-Yao Qu

We discuss neutrino mass and mixing in the framework of the classic seesaw mechanism, involving right-handed neutrinos with large Majorana masses, which provides an appealing way to understand the smallness of neutrino masses. However, with…

高能物理 - 唯象学 · 物理学 2016-06-22 Stephen F. King

We make an investigation of modular $\Gamma^{\prime}_5 \simeq A^{\prime}_5$ group in inverse seesaw framework. Modular symmetry is advantageous because it reduces the usage of extra scalar fields significantly. Moreover, the Yukawa…

高能物理 - 唯象学 · 物理学 2022-03-09 Mitesh Kumar Behera , Rukmani Mohanta

We discuss to what extent future precision measurements of neutrino mixing observables will influence the information we can draw from a measurement of (or an improved limit on) neutrinoless double beta decay. Whereas the Delta m^2…

高能物理 - 唯象学 · 物理学 2009-11-11 S. Choubey , W. Rodejohann

We analyze the structure of quark and lepton mass matrices under the hypothesis that they are determined from a minimum principle applied to a generic potential invariant under the $\left[SU(3)\right]^5\otimes \mathcal O(3)$ flavor…

高能物理 - 唯象学 · 物理学 2015-06-16 R. Alonso , M. B. Gavela , G. Isidori , L. Maiani

Abelian family symmetries provide a predictive framework for neutrino mass models. In seesaw models based on an abelian family symmetry, the structures of the Dirac and the Majorana matrices are derived from the symmetry, and the neutrino…

高能物理 - 唯象学 · 物理学 2009-02-16 Stéphane Lavignac

We propose a hybrid scotogenic inverse seesaw framework in which the Majorana mass term is generated at the one-loop level through the inclusion of a singlet fermion. This singlet Majorana fermion also serves as a viable thermal relic dark…

高能物理 - 唯象学 · 物理学 2025-05-23 Gourab Pathak , Pritam Das , Mrinal Kumar Das

We construct an $S_4$ flavour symmetric minimal inverse seesaw model where the standard model is extended by adding two right-handed and two standard model gauge singlets neutrinos to explain the origin of tiny neutrino masses. The…

高能物理 - 唯象学 · 物理学 2023-12-08 Bikash Thapa , Sunita Barman , Sompriti Bora , Ng. K. Francis

We study models of neutrino masses which naturally give rise to an inverted mass hierarchy and bi-maximal mixing. The models are based on the see-saw mechanism with three right-handed neutrinos, which generates a single mass term of the…

高能物理 - 唯象学 · 物理学 2009-10-31 S. F. King , N. Nimai Singh

We propose a neutrino model based on a $\Delta(54)$ flavor symmetry suitable for explaining the current neutrino oscillation data. Neutrino masses arise from the type II seesaw mechanism where the $\Delta(54)$ field assignments has led to a…

高能物理 - 唯象学 · 物理学 2024-10-21 M. A. Loualidi

The ordering of the neutrino masses is a crucial input for a deep understanding of flavor physics, and its determination may provide the key to establish the relationship among the lepton masses and mixings and their analogous properties in…

高能物理 - 唯象学 · 物理学 2018-11-07 P. F. de Salas , S. Gariazzo , O. Mena , C. A. Ternes , M. Tórtola

The discrete flavor symmetry A4 explains very well neutrino data at low energy, but it seems difficult to extend it to grand unified models since in general left-handed and right-handed fields belong to different A4 representations.…

高能物理 - 唯象学 · 物理学 2008-11-26 Stefano Morisi , Marco Picariello , Emilio Torrente-Lujan

We study to what extent upcoming precision neutrino oscillation experiments will be able to exclude one of the most predictive models of neutrino mass and mixing: the Littlest Seesaw. We show that this model provides a good fit to current…

高能物理 - 唯象学 · 物理学 2017-04-26 Peter Ballett , Stephen F. King , Silvia Pascoli , Nick W. Prouse , TseChun Wang

Assuming lepton number conservation, hermiticity of the neutrino mass matrix and $\nu_{\mu} - \nu_{\tau}$ exchange symmetry, we show that we can determine the neutrino mass matrix completely from the existing data. Comparing with the…

高能物理 - 唯象学 · 物理学 2014-05-26 Shreyashi Chakdar , Kirtiman Ghosh , S. Nandi

We propose a minimal inverse seesaw framework based on $A_4$ modular symmetry. We have studied the neutrino oscillation parameters in our work and our model excludes some $3 \sigma$ values of the mixing angle $\theta_{23}$. Also, there is a…

高能物理 - 唯象学 · 物理学 2025-05-07 Gourab Pathak , Mrinal Kumar Das

We discuss the possibility of flavor symmetries to explain the pattern of charged lepton and neutrino masses and mixing angles. We emphasize what are the obstacles for the generation of an almost maximal atmospheric mixing and what are the…

高能物理 - 唯象学 · 物理学 2014-11-17 Shao-Long Chen , Michele Frigerio , Ernest Ma