most citedTowards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach

17 citations · 39 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2025

Magnetized Proto-Neutron Stars: Structure and Stability

Harsh Chandrakar, Adamu Issifu, Prashant Thakur +2

We investigate the evolution of magnetized protoneutron stars (PNSs) through four schematic stages: neutrino trapped, deleptonization, neutrino transparent, and the final cold, cat…

astro-ph.HE2025

Implications of σ-cut potential on Antikaon condensates in neutron stars

Prashant Thakur, Yashmitha Kumaran, Lakshana Sudarsan +3

We investigate the properties of neutron stars with antikaon condensation in the framework of the Relativistic Mean-Field (RMF) model with a -cut potential. The well-known RMF m…

astro-ph.HE2025★ 5 cited

Fundamental Oscillation Modes in Neutron Stars with Hyperons and Delta Baryons

O. P. Jyothilakshmi, P. E. Sravan Krishnan, V. Sreekanth +2

For a new parameterization of the modified effective chiral model, developed primarily to regulate the density content of the symmetry energy and its higher order terms, equations…

nucl-th2024★ 17 cited

Feasibility of dark matter admixed neutron star based on recent observational constraints

Prashant Thakur, Tuhin Malik, Arpan Das +3

The equation of state (EOS) for neutron stars is modeled using the Relativistic Mean Field (RMF) approach with a mesonic nonlinear (NL) interaction, a modified sigma cut potential…

hep-ph2024★ 17 cited

Towards Uncovering Dark Matter Effects on Neutron Star Properties: A Machine Learning Approach

Prashant Thakur, Tuhin Malik, T. K. Jha

In recent years, researchers have become increasingly interested in understanding how dark matter affects neutron stars, helping them to better understand complex astrophysical phe…