267 citations · 919 across the 56 of their papers we have counts for
56 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…
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…
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…
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…
Observable Signatures of a Quarkyonic Phase in Neutron Stars
Probit J Kalita, Tuhin Malik, Tianqi Zhao +2
Quarkyonic matter in \(β\)-equilibrium is a potential description of cold dense matter in neutron stars (NSs), that introduces non-interacting quarks alongside nucleons and leptons…
Covariant Energy Density Functionals for Neutron Star Matter Equation of State Modeling: Cross-Comparison Analysis Using \texttt{CompactObject}
João Cartaxo, Chun Huang, Tuhin Malik +5
This study analyzes and contrasts different phenomenological methods used to model the nuclear equation of state (EOS) for neutron star matter based on covariant energy density fun…
Constraints on maximum neutron star mass from proto-neutron star evolution
Deepak Kumar, Tuhin Malik, Hiranmaya Mishra +1
A proto-neutron star (PNS) gets formed after a successful supernova when the stellar remnant decouples from the ejecta. In this study, we explore a relativistic framework for the f…
Probing the Internal Structure of Neutron Stars: A Comparative Analysis of Three Different Classes of Equations of State
Anshuman Verma, Asim Kumar Saha, Tuhin Malik +1
Sound speed can be an important tool in unraveling the nature of matter that exists at the cores of neutron stars. In this study, we investigate three major classes of equations of…
Inferring the Equation of State from Neutron Star Observables via Machine Learning
N. K. Patra, Tuhin Malik, Helena Pais +3
We have conducted an extensive study using a diverse set of equations of state (EoSs) to uncover strong relationships between neutron star (NS) observables and the underlying EoS p…
Impact of the Scalar Isovector -meson on the description of nuclear matter and neutron star properties
Lavínia Gabriela Teodoro dos Santos, Tuhin Malik, Constança Providência
The implications of including the scalar isovector -meson in a relativistic mean-field description of nuclear matter are discussed. A Bayesian inference approach is used to dete…
CompactObject: An open-source Python package for full-scope neutron star equation of state inference
Chun Huang, Tuhin Malik, João Cartaxo +14
The CompactObject package is an open-source software framework developed to constrain the neutron star equation of state (EOS) through Bayesian statistical inference. It integrates…
Bayesian evaluation of hadron-quark phase transition models through neutron star observables in light of nuclear and astrophysics data
Debanjan Guha Roy, Anagh Venneti, Tuhin Malik +2
We investigate the role of hybrid and nucleonic equations of state (EOSs) within neutron star (NS) interiors using Bayesian inference to evaluate their alignment with recent observ…
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…
Calibrating global behaviour of equation of state by combining nuclear and astrophysics inputs in a machine learning approach
Sk Md Adil Imam, Prafulla Saxena, Tuhin Malik +2
We implemented symbolic regression techniques to identify suitable analytical functions that map various properties of neutron stars (NSs), obtained by solving the Tolman-Oppenheim…
Nambu-Jona-Lasinio description of hadronic matter from a Bayesian approach
K. D. Marquez, Tuhin Malik, Helena Pais +2
A microscopic nuclear matter formalism with explicit chiral symmetry based on the Nambu Jona-Lasinio model is considered to describe nuclear matter. To reproduce nuclear matter pro…
Constraining the high-density behavior of nuclear symmetry energy with direct Urca processes
Olfa Boukari, Tuhin Malik, Aziz Rabhi +1
The density dependence of the symmetry energy in relativistic mean-field models with density dependent couplings is discussed in terms of the possible opening of nucleonic direct U…
Calibrating the medium effects of light clusters in heavy-ion collisions
Tiago Custódio, Alex Rebillard-Soulié, Rémi Bougault +5
We propose a Bayesian inference estimation of in-medium modification of the cluster self-energies from light nuclei multiplicities measured in selected samples of central $^{136,12…
Hybrid Star Properties with NJL and MFTQCD Model: A Bayesian Approach
Milena Albino, Tuhin Malik, Márcio Ferreira +1
The composition of the core of neutron stars (NS) is still under debate. One possibility is that because of the high densities reached in their cores, matter could be deconfined in…
Astrophysics and Nuclear Physics Informed Interactions in Dense Matter: Inclusion of PSR J0437-4715
Tuhin Malik, Veronica Dexheimer, Constança Providência
We investigate how vector-isoscalar and vector-isovector interactions can be determined within the density regime of neutron stars (NSs), while fulfilling nuclear and astrophysics…
The footprint of nuclear saturation properties on the neutron star mode oscillation frequencies: a machine learning approach
Deepak Kumar, Tuhin Malik, Hiranmaya Mishra
We investigate the intricate relationships between the non-radial \(f\) mode oscillation frequencies of neutron stars (NS)s and the corresponding nuclear matter equation of state (…