47 research outputs found
Neutrino Mixing Phenomenology: Discrete Flavor Symmetry with Type-I Seesaw Mechanism
We study a neutrino mass model with flavor symmetry using a type-I
seesaw mechanism. The inclusion of extra flavons in our model leads to the
deviations from exact tribimaximal mixing pattern resulting in a nonzero
consistent with the recent experimental results and a sum rule
for light neutrino masses is also obtained. In this framework, a connection is
established among the mixing angles (, ,
) and the Dirac CP-violation phase . This model also
allows us a prediction of Jarlskog parameter and the octant of the
mixing angle . We use the parameter space of our model of neutrino
masses to study the neutrinoless double beta decay parameter .Comment: 15 pages, 3 Figures, 2 Table
Double Stage chain routing Protocal in WSN
Wireless sensor networking is most popular fields in today’s world. In this paper, we have discussed the different energy optimization protocols of WSN. We have forwarded a new protocol “Double Stage Chain Routing Protocol†from WSN. Our main focus is on extending the residual energy and network’s life time at least more than LEACH, CCM and TSCP. The result of our protocol is represented with the help of graph with comparison with TSCP and it is found that DSCRP gives better network lifetime than LEACH. The proposed algorithm is acceptable in the network lifetime of DSCRP as well as in network life time
Non-zero , CP-violation and Neutrinoless Double Beta Decay for Neutrino Mixing in the Flavor Symmetry Model
We study the modification of the Altarelli-Feruglio flavor symmetry
model by adding three singlet flavons , and and the model
is augmented with extra symmetry to prevent the
unwanted terms in our study. The addition of these three flavons lead to two
higher order corrections in the form of two perturbation parameters
and . These corrections yield the deviation from exact
tri-bimaximal (TBM) neutrino mixing pattern by producing a non-zero
and other neutrino oscillation parameters which are consistent
with the latest experimental data. In both the corrections, the neutrino masses
are generated via Weinberg operator. The analysis of the perturbation
parameters and , shows that normal hierarchy (NH)
and inverted hierarchy (IH) for does not change much. However, as
the values of increases, occupies the lower
octant for NH case. We further investigate the neutrinoless double beta decay
parmeter using the parameter space of the model for both
normal and inverted hierarchies of neutrino masses.Comment: 19 pages, 6 figures, 3 table
Neutrino Mass Model in the Context of Flavor Symmetries with Inverse Seesaw Mechanism
Our analysis involves enhancing the flavor symmetry model with
Inverse Seesaw mechanism along with two SM Higgs through the incorporation of
distinct flavons. Additionally, we introduce supplementary symmetries to eliminate any undesirable components within our
investigation. The exact tri-bimaximal neutrino mixing pattern undergoes a
deviation as a result of the incorporation of extra flavons, leading to the
emergence of a non-zero reactor angle that aligns with the latest
experimental findings. It was found that for our model the atmospheric
oscillation parameter occupies the lower octant for normal hierarchy case. We
also examine the parameter space of the model for normal hierarchy to explore
the Dirac CP (), Jarlskog invariant parameter () and the
Neutrinoless double-beta decay parameter () and found it in
agreement with the neutrino latest data. Hence our model may be testable in the
future neutrino experiments.Comment: 18 pages, 6 figures, 3 table
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Using WhatsApp for Language Documentation
Instructions for collecting language data using WhatsApp, translated into Dimasa. Instructions suggest various methods of eliciting language data about ethnographic topics such as traditional foods, social practices, festivals, and everyday life
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Assam University Linguistics Department Collection
Transcription and translation into English. Sadhan Barman describes his experience during the 2022 Assam floods. The speaker is a worker who speaks Bengali, Hindi, Manipuri, English, and Assamese in addition to Dimasa. He is 51 years old at the time of recording
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Assam University Linguistics Department Collection
Transcription and translation into English. Snigda Barman describes her experience during the 2022 Assam floods. The speaker is a housewife with a high school education who speaks Bengali, Hindi, and English in addition to Dimasa. She is 52 years old at the time of recording
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Assam University Linguistics Department Collection
Janita Barman describes her experience during the 2022 Assam floods. The speaker is a housewife with a high school education who speaks Bengali, Hindi, and English in addition to Dimasa. She is 38 years old at the time of recording
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Assam University Linguistics Department Collection
Snigda Barman describes her experience during the 2022 Assam floods. The speaker is a housewife with a high school education who speaks Bengali, Hindi, and English in addition to Dimasa. She is 52 years old at the time of recording
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Assam University Linguistics Department Collection
Uday Chand Barman describes his experience during the 2022 Assam floods. The speaker is a retired government worker with a high school education who speaks Bengali, Hindi, and English in addition to Dimasa. He is 70 years old at the time of recording