17 citations · 18 across the 2 of their papers we have counts for
2 papers
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…
hep-ph2023★ 1 cited
Exploring robust correlations between fermionic dark matter model parameters and neutron star properties: A two-fluid perspective
Prashant Thakur, Tuhin Malik, Arpan Das +2
The current observational properties of neutron stars have not definitively ruled out the possibility of dark matter. In this study, we primarily focus on exploring correlations be…