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Real-Time Gravitational-Wave Parameter Estimation Using Machine Learning
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- 1 Introduction to parameter estimation
- 2 Sampling
- 3 Challenges
- 4 Simulation-based inference
- 5 Normalizing flow
- 6 Simulation-based training
- 7 Embedding network
- 8 Group equivariant neural posterior estimation
- 9 Importance of method validation
- 10 Amortized inference
- 11 Quantitative comparison vs standard sampler
- 12 Summary comparison
- 13 Conclusions
- 14 Outlook
