11 papers
Constraints on the model from a negative number of flavors
Daniele Artico, Jasper Roosmale Nepveu
Treating the number of flavors as a variable in the model leads to non-perturbative constraints on the spectrum of operators. Using the duality between and $Sp(-n…
Gravitational Wave Probe of Singlet-Doublet Dark Matter Induced Radiative Neutrino Mass
Ujjal Kumar Dey, Santu Kumar Manna, Partha Kumar Paul +2
We investigate an one loop radiative neutrino mass model, where the loop particles, notably a singlet fermion (), a doublet fermion () and three generations of singlet scal…
Impact of conversion-driven processes on singlet-doublet Majorana dark matter relic
Partha Kumar Paul, Sujit Kumar Sahoo, Narendra Sahu
The singlet-doublet dark matter model offers a rich framework for exploring the nature of dark matter (DM) through its unique fermion structure. In this model, the important parame…
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…
Hybrid Rate-Splitting and Sparse Code Multiple Access (RS-SCMA): Design and Performance
Minerva Priyadarsini, Zilong Liu, Kuntal Deka +2
This paper proposes, for the first time, a hybrid multiple access framework that integrates the principles of rate-splitting (RS) and sparse code multiple access (SCMA) in an SISO…