Video URL
https://pirsa.org/22110029The Future of Numerical Relativity: Gravitational Memory, BMS Frames, and More
APA
Mitman, K. (2022). The Future of Numerical Relativity: Gravitational Memory, BMS Frames, and More. Perimeter Institute for Theoretical Physics. https://pirsa.org/22110029
MLA
Mitman, Keefe. The Future of Numerical Relativity: Gravitational Memory, BMS Frames, and More. Perimeter Institute for Theoretical Physics, Nov. 17, 2022, https://pirsa.org/22110029
BibTex
@misc{ scivideos_PIRSA:22110029, doi = {10.48660/22110029}, url = {https://pirsa.org/22110029}, author = {Mitman, Keefe}, keywords = {Strong Gravity}, language = {en}, title = {The Future of Numerical Relativity: Gravitational Memory, BMS Frames, and More}, publisher = {Perimeter Institute for Theoretical Physics}, year = {2022}, month = {nov}, note = {PIRSA:22110029 see, \url{https://scivideos.org/index.php/pirsa/22110029}} }
Keefe Mitman California Institute of Technology (Caltech)
Abstract
As was realized by Bondi, Metzner, van der Burg, and Sachs (BMS), the symmetry group of asymptotic infinity is not the Poincaré group, but an infinite-dimensional group called the BMS group. Because of this, understanding the BMS frame of the gravitational waves produced by numerical relativity is crucial for ensuring that analyses on such waveforms and comparisons with other waveform models are performed properly. Up until now, however, the BMS frame of numerical waveforms has not been thoroughly examined, largely because the necessary tools have not existed. In this talk, I will highlight new methods that have led to improved numerical waveforms; specifically, I will explain what the gravitational memory effect is and how it has recently been resolved in numerical relativity. Following this, I will then illustrate how we fix the BMS frame of numerical waveforms to perform much more accurate comparisons with either quasi-normal mode or post-Newtonian models. Last, I will briefly highlight some exciting results that this work has enabled, such as building memory-containing surrogate models and finding nonlinearities in black hole ringdowns.
Zoom Link: https://pitp.zoom.us/j/96739417230?pwd=Tm00eHhxNzRaOEQvaGNzTE85Z1ZJdz09