31 citations · 63 across the 8 of their papers we have counts for
3 papers · 1 filter
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…
Exploring Fermionic Dark Matter Admixed Neutron Stars in the Light of Astrophysical Observations
Payaswinee Arvikar, Sakshi Gautam, Anagh Venneti +1
We studied the properties of dark matter admixed-neutron stars (DMANS), considering fermionic dark matter (DM) that interacts gravitationally with hadronic matter (HM). Using relat…
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…