Student Posters Repository

The first detection of gravitational waves (GWs) from a binary neutron star (BNS) merger, GW170817, in August of 2017 signaled the beginning of the era of GW-multimessenger astronomy.
Our work emphasizes to simulate this kind of signals in full General Relativity using HPC and analysing the data afterwards to acquire knowledge regarding the underlying physics. Neutron stars
are among the most extreme entities in the universe. Their central density exceeds the nucleus density of an atom. The physics of the inner cores of Neutron Stars is unknown to Physics yet.
Gravitational Waves from such events give us the opportunity to extract information about those extreme events in the universe. After analysing full Numerical Relativity simulations we produced
empirical relations for Neutron star characteristics. Finally, we used Machine Learning algorithms and proved the theoretical classification that was proposed by Bauswein & Stergioulas 2015 PRD.