Birs- 21w5066: Detection and Analysis of Gravitational Waves in the era of Multi-Messenger Astronomy: From Mathematical Modelling to Machine Learning
-
Title: Probes of new physics during gravitational waves propagation - Leila Haegel
Speaker:
Link:
-
Title: Deep learning methods to investigate noise features in gravitational wave detectors
Speaker:
Link:
-
Title: Observing and characterizing the dark matter environments of black hole binaries with gravitational waves
Speaker:
Link:
-
Title: High precision ringdown fitting
Speaker:
Link:http://www.birs.ca/events/2021/5-day-workshops/21w5066/videos/watch/202111151500-MaganaZertuche.html
-
Title: Estimating glitch contaminated gravitational-wave signals using artificial neural networks with NNETFIX
Speaker:
Link:
-
Title: Dark matter, black holes, and gravitational waves
Speaker:
Link:
-
Title: Machine Learning and Gravitational Wave Detectors
Speaker:
Link:
-
Title: Understanding GWs from core-collapse supernovae
Speaker:
Link:
-
Title: Black Hole - Neutron Star Binary Mergers: The Imprint of Tidal Debris
Speaker:
Link:
-
Title: Real-Time Detection of Unmodeled Gravitational-Wave Transients Using Convolutional Neural Networks
Speaker:
Link:
-
Title: Application of machine learning in low-latency counterpart inference from gravitational waves
Speaker:
Link:
-
Title: Multimodal Analysis of Gravitational Wave Signals and Gamma-Ray Bursts from Binary Neutron Star Mergers
Link:
-
Title: New methods for gravitational-wave data analysis
Speaker:
Link:
-
Title: Brave new world of numerical relativity
Speaker:
Link:
-
Title: Astrophysics with joint analysis of multi-messenger observations
Speaker:
Link:
-
Title: Advances in Gravitational Wave Inference
Speaker:
Link:
-
Title: Reduction of noise events in searches of gravitational wave bursts from core-collapse supernovae with machine learning
Speaker:
Link:
-
Title: Magnetic Fields in Core-Collapse Supernovae and their Progenitors
Speaker:
Link:
-
Title: Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy
Speaker:
Link:
-
Title: Applications of Machine Learning for the Automation of Electromagnetic Follow-up
Speaker:
Link: