PhD defence by Peter Pang: From spacetime to nucleus

On December 14 2022, Peter Pang has successfully defended his thesis. Peter Pang studied Physics at the Chinese University of Hong Kong and finished his PhD at the Institute for Gravitational and Subatomic Physics (GRASP), Gravitational Wave Data Analysis Group. The defense has taken place in the Academiegebouw in Utrecht.

Summary PhD thesis

cover of thesis Peter Pang

From spacetime to nucleus

Our knowledge about dense matter occurring in the cores of neutron stars remains limited, as those densities are beyond our reach on Earth. Fortunately, the dense matter can be probed not only with astrophysical observations, but also in terrestrial heavy-ion collision experiments. In this thesis, we developed a Bayesian inference method to combine data from astrophysical observations of neutron stars with gravitational waves, electromagnetic waves from radio to X-ray, and heavy-ion collisions of gold nuclei at relativistic energies, with information from microscopic nuclear theory calculations to improve our understanding of dense matter. This way we arrived at state-of-the-art constraints on the properties of supranuclear matter.

Besides the nuclear physics community, the astrophysics community also benefits from an accurate understanding of neutron star matter. This thesis showcases two such applications. First, we have shown how one can distinguish a low-mass black hole from a neutron star when no light is observed. Secondly, we introduced methods to check if a binary neutron star merger signal is gravitationally lensed even if we only see one image.

In addition, we developed methods to test the validity of general relativity. First, we devised tools for establishing the presence of polarizations beyond the ones of general relativity, with a limited number of detectors. Secondly, we demonstrated how one could distinguish an exotic compact object from a black hole by looking for the signatures of resonant excitations.  Einstein's theory withstood all of our tests.

PhD supervisors: prof. dr. C.F.F. Van den Broeck and prof. dr. R.J.M. Snellings.