output
20062025
most citedText Steganographic Approaches: A Comparison

50 citations

29 papers

hep-ph2025★ 1 cited

Physics-informed neural network (PINN) modeling of charged particle multiplicity using the two-component framework in heavy-ion collisions: A comparison with data-driven neural networks

Akash Das, Satya Ranjan Nayak, B. K. Singh

In this study, we employ a conventional deep neural network (NN) framework integrated with physics-based constraints to predict charged hadron multiplicity () in hea…

hep-ph2025

Two-particle cumulant distribution: a simulation study of higher moments

Satya Ranjan Nayak, Akash Das, B. K. Singh

In this work, we have shown the two-particle correlations of charged hadrons in d-Au collisions at 200 GeV in PYTHIA8/Angantyr simulations. These correlations were studied at diffe…

cs.NI2025★ 1 cited

LiSec-RTF: Reinforcing RPL Resilience Against Routing Table Falsification Attack in 6LoWPAN

Shefali Goel, Vinod Kumar Verma, Abhishek Verma

Routing Protocol for Low-Power and Lossy Networks (RPL) is an energy-efficient routing solution for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN), recommended for r…

hep-ph2025★ 1 cited

Higher-order anisotropic flow correlations in Xe-Xe collisions at

Saraswati Pandey, B. K. Singh

By employing the Monte Carlo HYDJET++ model (HYDrodynamics plus JETs), we produce anisotropic harmonic flow coefficients (-) in deformed Xe-Xe collisions at $\sqrt{…

hep-ph2025

Study of octupole deformations in Pb-Pb collisions at 5.02 TeV

Saraswati Pandey, B. K. Singh

In this letter, we present the study of the role of octupole deformation in non-spherical nuclei in most-central Pb--Pb collisions at the LHC energy regime. The sensitivity of octu…

nucl-th2025

Separating non-collective effects in d-Au collisions

Satya Ranjan Nayak, Akash Das, B. K. Singh

In this work, we present the multiplicity and yield of charged hadrons and particle ratios in d-Au collisions at GeV using the PYTHIA8/Angantyr. The model repr…