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Subhankar Roy

10 papers hereh-index 430 citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author10

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • hep-ph10
same name
  • Subhankar Roy — 32 papers, h 18
  • Subhankar Roy — 16 papers
  • Subhankar Roy — 2 papers, h 1
  • Subhankar Roy — 1 paper
  • Subhankar Roy — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedRevisiting the Dirac Nature of Neutrinos in the Light of Δ(27) and Cyclic Symmetries

9 citations · 20 across the 9 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

hep-ph2024★ 2 cited

A unique Neutrino Mass Matrix Texture under Exponential Parametrization

Pralay Chakraborty, Subhankar Roy

Under the exponential parametrization scheme mijν​∼reiθ, we propose a \emph{unique} neutrino mass matrix texture that exhibits four correlations among its elements.…

hep-ph2024★ 7 cited

Neutrino Mixing from a Fresh Perspective

Pralay Chakraborty, Manash Dey, Biswajit Karmakar +1

We propose a neutrino mass matrix texture bearing a suitable correlation m22​=−2m13​ and study its phenomenological implications. In light of both normal and inverted hiera…

hep-ph2024★ 2 cited

Deviation from μ−τ Symmetry with New Approaches

Pralay Chakraborty, Tanmay Dev, Subhankar Roy

We propose two new predictive neutrino mass matrix textures that deviate from μ-τ symmetry and explore their phenomenological implications. These textures are significant due t…

hep-ph2024★ 9 cited

Revisiting the Dirac Nature of Neutrinos in the Light of Δ(27) and Cyclic Symmetries

Manash Dey, Subhankar Roy

Amid the uncertainty regarding the fundamental nature of neutrinos, we adhere to the Dirac description, and construct a model in the framework of Δ(27) symmetry. The model succes…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.