49 citations · 119 across the 4 of their papers we have counts for
4 papers
Mass and tidal parameter extraction from gravitational waves of binary neutron stars mergers using deep learning
Shriya Soma, Horst Stöcker, Kai Zhou
Gravitational Waves (GWs) from coalescing binaries carry crucial information about their component sources, like mass, spin and tidal effects. This implies that the analysis of GW…
Reconstructing the neutron star equation of state from observational data via automatic differentiation
Shriya Soma, Lingxiao Wang, Shuzhe Shi +2
Neutron star observables like masses, radii, and tidal deformability are direct probes to the dense matter equation of state~(EoS). A novel deep learning method that optimizes an E…
Neural network reconstruction of the dense matter equation of state from neutron star observables
Shriya Soma, Lingxiao Wang, Shuzhe Shi +2
The Equation of State (EoS) of strongly interacting cold and hot ultra-dense QCD matter remains a major challenge in the field of nuclear astrophysics. With the advancements in mea…
Properties of binary components and remnant in GW170817 using equations of state in finite temperature field theory models
Shriya Soma, Debades Bandyopadhyay
We investigate gross properties of binary components and remnant in GW170817 using equations of state within the finite temperature field theoretical models. We also adopt finite t…