activity
20172026
most citedGW170817: constraining the nuclear matter equation of state from the neutron star tidal deformability

267 citations · 919 across the 56 of their papers we have counts for

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Showing 2026Show all

7 papers · 1 filter

hep-ph2026

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…

astro-ph.HE2026

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…

astro-ph.HE2026

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…

astro-ph.HE2026

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…

nucl-th2026

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…

nucl-th2026

Medium effects on light clusters from heavy-ion collisions within a relativistic mean-field description

Tiago Custódio, Francesca Gulminelli, Alex Rebillard-Soulié +5

Central XeSn collisions from INDRA data are analysed using a Bayesian inference on light nuclei multiplicities to estimate the thermodynamical parameters a…

nucl-th2026

Learning the relations between neutron star and nuclear matter properties with symbolic regression

N. K. Patra, Tuhin Malik, Kai Zhou +1

The equation of state (EOS) of dense matter in neutron stars (NSs) remains uncertain, particularly at supra-nuclear densities where complex nuclear interactions and the potential p…