Resolving Memory in Numerical Relativity and Fixing BMS Frames for Modeling
Harvard CMSA via YouTube
Overview
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Watch a technical seminar from Harvard CMSA's General Relativity series where Leo Stein from the University of Mississippi explores memory effects in numerical relativity simulations and BMS frame analysis. Learn about the SXS collaboration's efforts to resolve memory effects using Cauchy-characteristic evolution (CCE) and future applications of Cauchy-characteristic matching (CCM). Discover how black hole perturbation and post-Newtonian theory provide natural BMS frames, enabling precise extraction of remnant quantities, improved ringdown modeling, and development of comprehensive surrogate waveform models that incorporate memory effects. Gain insights into the technical advancements in numerical relativity waveforms that serve as benchmarks for detecting and analyzing binary black hole merger events.
Syllabus
Leo Stein | Resolving memory in numerical relativity, and fixing BMS frames for modeling
Taught by
Harvard CMSA