18 papers
Imprints of Higgs-portal fermionic dark matter on neutron-star tidal deformability and the mass-radius slope
Monmoy Molla, Mehedi Kalam, Tuhin Malik
We investigate the structure of neutron stars (NSs) admixed with fermionic dark matter (DM) using three density-dependent relativistic mean-field (DDRMF) functionals (DDME, DDB, an…
Neutron stars with an agnostic Dark sector: Core and Halo configurations from a two-fluid approach
Asit karan, Asim Kumar Saha, Tuhin Malik +2
The study of dark matter admixed neutron stars has the potential to advance our understanding of dark matter particle candidates. However, the large parameter space of dark matter…
Amortized Simulation-Based Inference of Relativistic Mean-Field Couplings for Neutron-Star Equations of State
Prashant Thakur, Tuhin Malik
We present a simulation-based inference framework for constraining microscopic relativistic mean-field parameters of neutron-star equations of state. Neural posterior estimation is…
Causality alone bounds the maximum radius difference between different-mass neutron stars
Aleksi Kurkela, Tuhin Malik
We investigate how the assumption of a common causal equation of state (EoS) correlates the radii of neutron stars at different masses and thereby reduces the uncertainties inferre…
Hyperonic equation of state for neutron stars: A systematic Bayesian comparison of density-dependent and non-linear relativistic mean-field models
Pedro Sanson, Tuhin Malik, Constança Providência
A systematic Bayesian inference study of the equation of state (EOS) of dense matter with strangeness is presented, extending five relativistic mean-field (RMF) models with both co…
A Bayesian Inference of Hybrid Stars with Large Quark Cores
Milena Albino, Tuhin Malik, Márcio Ferreira +1
Neutron stars (NSs) are interesting objects capable of reaching densities unattainable on Earth. The properties of matter under these conditions remain a mystery. Exotic matter, in…