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相关论文: Neutrino mass textures and associated phenomenolog…

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We have done a phenomenological study on the neutrino mass matrix $M_\nu$ favoring two zero texture in the framework of left-right symmetric model (LRSM) where type I and type II seesaw naturally occurs. The type I seesaw mass term is…

高能物理 - 唯象学 · 物理学 2019-02-26 Happy Borgohain , Mrinal Kumar Das

We studied the phenomenological implications of texture zeros in the neutrino mass matrix of the minimal left-right symmetric model (LRSM). Since the possibility of maximum zeros reduces the maximum number of free parameters of the model…

高能物理 - 唯象学 · 物理学 2020-04-14 Happy Borgohain , Mrinal Kumar Das , Debasish Borah

We have realized different two-zero textures within the framework of the left right symmetric model using the $\Gamma_{3}\cong A_{4}$ modular group. The matter multiplets of the model are assigned as three singlet representations of the…

高能物理 - 唯象学 · 物理学 2025-12-29 Bhabana Kumar , Debajyoti Dutta , Mrinal Kumar Das

We derive verifiable two-zero textures in the framework of a three-loop induced neutrino mass model applying a modular $A_4$ symmetry for the lepton sector. Interestingly, the neutrino mass structure is determined by assignments of the…

高能物理 - 唯象学 · 物理学 2023-09-26 Takaaki Nomura , Hiroshi Okada , Hajime Otsuka

We consider the possibility of texture zeros in lepton mass matrices of the minimal left-right symmetric model (LRSM) where light neutrino mass arises from a combination of type I and type II seesaw mechanisms. Based on the allowed texture…

高能物理 - 唯象学 · 物理学 2019-07-24 Happy Borgohain , Mrinal Kumar Das , Debasish Borah

This is a review article about neutrino mass and mixing and flavour model building strategies based on modular symmetry. After an introduction to neutrino mass and lepton mixing, we then turn to the main subject of this review, namely a…

高能物理 - 唯象学 · 物理学 2023-11-17 Gui-Jun Ding , Stephen F. King

The recent enormous improvement of our knowledge of the neutrino oscillation parameters has motivated us to reinvestigate the allowed ranges of the elements of the neutrino mass matrix in the basis where the charged-lepton mass mass matrix…

高能物理 - 唯象学 · 物理学 2013-10-01 Walter Grimus , Patrick Otto Ludl

We study a model of neutrino and dark matter within the framework of a minimal extended seesaw. This model is based on $A_4$ flavour symmetry along with the discrete $Z_3\times Z_4$ symmetry to stabilize the dark matter and construct…

高能物理 - 唯象学 · 物理学 2022-04-29 Pritam Das , Mrinal Kumar Das , Najimuddin Khan

The origin of neutrino masses is currently one of the most intriguing questions of particle physics and many extensions of the Standard Model have been proposed in that direction. This experimental evidence is a very robust indication of…

高能物理 - 唯象学 · 物理学 2015-03-19 Avelino Vicente

We propose new lepton-mixing textures that may be enforced through well-defined symmetries in renormalizable models. Each of our textures has four sum rules for the neutrino mass observables. The models are based on the type-I seesaw…

高能物理 - 唯象学 · 物理学 2019-09-04 D. Jurciukonis , L. Lavoura

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…

高能物理 - 唯象学 · 物理学 2016-03-23 Rupam Kalita , Debasish Borah

Texture zeros in fermion mass matrices have been widely considered in tackling the Standard Model flavour puzzle. In this work, we perform a systematic analysis of texture zeros in lepton mass matrices in the framework of $\Gamma_{3}'\cong…

高能物理 - 唯象学 · 物理学 2023-04-05 Gui-Jun Ding , F. R. Joaquim , Jun-Nan Lu

We derive the lower bound on absolute scale of lightest neutrino mass for normal hierarchy and inverted hierarchy pattern of light neutrinos by studying the new physics contributions to charged lepton flavour violating decays and…

高能物理 - 唯象学 · 物理学 2022-07-25 Prativa Pritimita , Urjit A. Yajnik , Nitali Dash , Sudhanwa Patra

We study a variety of different texture patterns in the basis in which the charged lepton mass matrix or neutrino mass matrix or neither are diagonal. The experimental results on the neutrinos provide sufficient restrictions to allow only a…

高能物理 - 唯象学 · 物理学 2007-05-23 Bipin R. Desai , Utpal Sarkar , Alexander R. Vaucher

Within the framework of the left-right symmetric model (LRSM) and under the assumption of a diagonal Dirac neutrino mass matrix $M_{\rm D}$, this paper systematically investigates 20 types of three-zero textures in the Majorana neutrino…

高能物理 - 唯象学 · 物理学 2026-03-27 Ding-Hui Xu , Zhen-hua Zhao , Tian-Rui Wang

Taking into account the latest neutrino oscillation data, we study texture zeros of the lepton mass matrices. Assuming the Dirac neutrino mass matrix M_D, the charged-lepton mass matrix M_l and the mass matrix of heavy right-handed Majorana…

高能物理 - 唯象学 · 物理学 2013-02-01 Harald Fritzsch , Shun Zhou

A non-supersymmetric inverse seesaw model of neutrino mass based on the $A^{\prime}_5$ modular symmetry is presented. This framework provides a combined explanation for neutrino masses, mixing, and the cosmic baryon asymmetry through…

高能物理 - 唯象学 · 物理学 2026-03-20 Xianshuo Zhang , Yakefu Reyimuaji

In this talk I review the present status of neutrino masses and mixing and some of their implications for particle physics phenomenology. I first discuss the minimum extension of the Standard Model of particle physics required to…

高能物理 - 唯象学 · 物理学 2009-11-10 M. C. Gonzalez-Garcia

The modular $A_4$ symmetry with three moduli is investigated. We assign different moduli to charged leptons, neutrinos, and quarks. We analyze these moduli at their fixed points where a residual symmetry exists. We consider two…

高能物理 - 唯象学 · 物理学 2024-12-30 Mohammed Abbas , Shaaban Khalil

We analyze the lepton sector of a Left-Right Model based on the gauge group SU(2)_L x SU(2)_R x U(1), concentrating mainly on neutrino properties. Using the seesaw mechanism and a horizontal symmetry, we keep the right-handed symmetry…

高能物理 - 唯象学 · 物理学 2009-11-11 Ken Kiers , Michael Assis , David Simons , Alexey A. Petrov , Amarjit Soni
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