Probing extreme configurations in binary compact object mergers
APA
Tootle, S. (2023). Probing extreme configurations in binary compact object mergers . Perimeter Institute. https://pirsa.org/23020041
MLA
Tootle, Samuel. Probing extreme configurations in binary compact object mergers . Perimeter Institute, Feb. 09, 2023, https://pirsa.org/23020041
BibTex
@misc{ pirsa_PIRSA:23020041, doi = {10.48660/23020041}, url = {https://pirsa.org/23020041}, author = {Tootle, Samuel}, keywords = {Strong Gravity}, language = {en}, title = {Probing extreme configurations in binary compact object mergers }, publisher = {Perimeter Institute}, year = {2023}, month = {feb}, note = {PIRSA:23020041 see, \url{https://pirsa.org}} }
Numerical relativity continues to play a crucial role in interpreting gravitational wave detections as well as the first multi-messenger detection of GW170817. More so, state-of-the-art models for kilonvae, gravitational waves, and more rely on the thousands of numerical relativity simulations that have taken place over more than 20 years. Simulations of binary systems including neutron stars are particularly taxing due to the equation of state of matter being a significant unknown. In spite of this fact, there exists vast amount of literature on the independent influence mass asymmetry or spin can have on the merger and post-merger dynamics of neutron star binaries across a wide array of possible equations of state.
In this talk I will extend this topic to extremal configurations consisting of binaries that are not only asymmetric, but include appreciable spins on the component neutron stars. To do so I will give an introduction into the initial data problem for numerical relativity, it's complexities, and its importance to current and future research. Furthermore, I will discuss a collection of results for extremal binary configurations including neutron stars and why this line of research is important to enable the next generation of multi-messenger models.
Zoom Link: https://pitp.zoom.us/j/99895521696?pwd=T1VtN0RGbjZrVTNleXB3V0FtQjhldz09