11 citations · 22 across the 9 of their papers we have counts for
10 papers
Bayesian exploration of weakly interacting models of dark matter admixed neutron stars based on multi-density constraints
Payaswinee Arvikar, Prashant Thakur, Sarmistha Banik
We present a unified Bayesian analysis of Higgs-portal, neutron-decay, and axion-like-particle (ALP)-mediated dark matter in neutron stars within the single-fluid approximation. Us…
-Driven Direct Urca Cooling in Rotating Neutron Stars: A Bayesian Study
Aprajita Shrivastava, Debanjan Guha Roy, Sarmistha Banik
We investigate the onset of antikaon () condensation and its implications for the equation of state (EoS) and cooling of neutron stars (NSs) within density-dependent relativis…
Influence of Finite-Nuclei Constraints on High-Density Transitions and Neutron Star Properties
Anagh Venneti, Sarmistha Banik, Bijay K Agrawal
We construct posterior distributions of the equation of state (EoS) for matter beyond the inner crust of neutron stars by incorporating finite nuclei (FN) constraints within relati…
Fermionic versus Bosonic Dark Matter in Neutron Stars: A Bayesian Study with Multi-Density Constraints
Payaswinee Arvikar, Sakshi Gautam, Anagh Venneti +1
We perform a comparative Bayesian analysis of fermionic and bosonic dark matter admixed neutron stars (DMANS) by incorporating a comprehensive set of theoretical, experimental, and…
Systematic study of scalar, vector, and mixed density dependencies in relativistic mean-field descriptions of hyperonic matter in neutron stars
Aprajita Shrivastava, Prasanta Char, Sakshi Gautam +1
We investigate the equation of state (EOS) of hyperonic neutron star (NS) matter within a density-dependent relativistic mean-field (DDRMF) framework. The effects of scalar, vector…
Signatures of condensation on neutron star structure and mode frequencies
Debanjan Guha Roy, Sarmistha Banik
Antikaon () condensation within neutron star matter (NS) depends on the antikaon-nucleon interaction potential (). Appearance of generally softens the equation of s…
NucleiML: A machine learning framework of ground-state properties of finite nuclei for accelerated Bayesian exploration
Anagh Venneti, Chiranjib Mondal, Sk Md Adil Imam +2
The global behavior of the nuclear equation of state (EoS) is commonly studied using data from finite nuclei (FN), heavy-ion collisions, and astrophysical observations of neutron s…
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…
Unraveling the global behavior of equation of state by explicit finite nuclei constraints
Anagh Venneti, Sakshi Gautam, Sarmistha Banik +1
We obtain posterior distribution of equations of state (EOSs) across a broad range of density by imposing explicitly the constraints from precisely measured fundamental properties…
Estimation of the slope of nuclear symmetry energy via charge radii of mirror nuclei
Sakshi Gautam, Anagh Venneti, Sarmistha Banik +1
Charge radii of mirror nuclei are calculated by implementing pairing effects with the Hartree-Fock Bogoliubov approximation. Correlations between the difference of charge radii ($Δ…