Rapid and Robust Parameter Estimation for Gravitational Wave Observations
Institute for Pure & Applied Mathematics (IPAM) via YouTube
Overview
Syllabus
Rapid and robust parameter estimati for gravitational wave observations
Talk outline
Overview of CW parameter estimation
Overview of GW parameter estimation
Computational cost: GW150914
Challenges in GW parameter estimation
Current solutions: Bayestar
Current solutions: Faster waveform models
New approaches: Neural posterior estimation
Normalizing flows
NPE refinements: embedding network
NPE refinements: group equivariant NPE
NPE network
NPE validation: GWTC-1 BBHS
Future challenges: long waveforms
Future challenges: non-stationary noise
Future challenges: population inference
Future challenges: overlapping sources
Summary
Taught by
Institute for Pure & Applied Mathematics (IPAM)