209 citations · 450 across the 23 of their papers we have counts for
8 papers · 1 filter
Signature of GW from the Hidden Sector in light of the Recent LZ Event
Sujit Kumar Sahoo, Narendra Sahu, Vicky Singh Thounaojam
The LZ collaboration has recently reported a single nuclear-recoil event at keV, observed in a 2.84 tonne-year exposure with a local sign…
Resurrecting Electroweak Dark Matter via Type-II Seesaw in light of recent LZ Event
Partha Kumar Paul, Sujit Kumar Sahoo, Narendra Sahu +1
The recent observation of the high-energy nuclear recoil event LZ230616 with a recoil energy around 248 keV provides an interesting possibility to probe inelastic doublet dark matt…
Inelastic Singlet-Doublet Fermion Dark Matter in light of the 248 keV LZ event
Debasish Borah, Sujit Kumar Sahoo, Narendra Sahu +1
Recently, the LUX-ZEPLIN (LZ) collaboration reported the observation of a single dark matter (DM)-nucleus scattering event at a nuclear recoil energy of $248\pm23_{\rm stat}\pm23_{…
A Piecewise-Linear Approximation-based Energy-Efficient Error-Optimized Unsigned Square Rooter for Accuracy-Critical Applications
Prateek Goyal, Sujit Kumar Sahoo
Approximate computing improves energy efficiency in error-resilient applications, but square root units remain challenging due to the trade-off between hardware cost and computatio…
Singlet-Doublet fermion origin of dark matter, neutrino mass and inverse first-order electroweak phase transition
Debasish Borah, Indrajit Saha, Sujit Kumar Sahoo +2
We study the possibility of an inverse first-order electroweak phase transition (IFOEWPT) and observable gravitational waves (GW) in a radiative neutrino mass model of scotogenic t…
Physics-Guided Self-Supervised Statistical Residual Learning for Sonar Despeckling with Improved Generalization
Swapna Pillai, Siddharth Singh Savner, Sujit Kumar Sahoo
This letter introduces a physics-informed self-supervised framework for sonar image despeckling that reformulates despeckling as residual consistency in the homomorphic log domain.…
E2AFS: Energy-Efficient Approximate Floating Point Square Rooter for Error Tolerant Computing
Prateek Goyal, Jatin Kumar Reddy Mothe, Swara Rajesh Shelke +1
Floating-point square-root computation is a power- and delay-critical operation in edge-AI, signal-processing, and embedded systems. Conventional implementations typically rely on…
Anatomy of RHN DM relic in the vanilla scotogenic neutrino mass model
Sujit Kumar Sahoo, Narendra Sahu, Vicky Singh Thounaojam
The scotogeneic neutrino mass models are very popular choices to generate light neutrino masses via radiative mechanism. In these models, the particles running in the loop are dist…