267 citations · 919 across the 56 of their papers we have counts for
6 papers · 1 filter
Realizing the potential of deep neural network for analyzing neutron star observables and dense matter equation of state
Ameya Thete, Kinjal Banerjee, Tuhin Malik
The difficulty in describing the equation of state (EoS) for nuclear matter at densities above the saturation density () has led to the emergence of a multitude of models base…
Inner crust equations of state for CompOSE
Tuhin Malik, Helena Pais
In this paper, we present some relativistic mean-field inner crust equations of state that have recently been uploaded in the CompOSE online repository. These equations of state fu…
Inferring the nuclear symmetry energy at supra saturation density from neutrino cooling
Tuhin Malik, B. K. Agrawal, Constança Providência
An ambitious goal of the astrophysical community is not only to constrain the equation of state (EOS) of neutron star (NS) matter by confronting it with astrophysics observations,…
Bayesian inference of signatures of hyperons inside neutron stars
Tuhin Malik, Constança Providência
The possible signatures of the presence of hyperons inside neutron stars are discussed within a Bayesian inference framework applied to a set of models based on a density-dependent…
Nearly model-independent constraints on dense matter equation of state in a Bayesian approach
N. K. Patra, Sk Md Adil Imam, B. K. Agrawal +2
We apply Bayesian approach to construct a large number of minimally constrained equations of state (EOSs) and study their correlations with a few selected properties of a neutron s…
Relativistic description of dense matter equation of state and compatibility with neutron star observables: a Bayesian approach
Tuhin Malik, Márcio Ferreira, B. K. Agrawal +1
The general behavior of the nuclear equation of state (EOS), relevant for the description of neutron stars (NS), is studied within a Bayesian approach applied to a set of models ba…