Completed
Gunther Uhlmann - Seeing Through Space-Time - IPAM at UCLA
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Math and Computational Challenges in the Era of Gravitational Wave Astronomy
Automatically move to the next video in the Classroom when playback concludes
- 1 Marco Cavaglia - Characterization of ground-based gravitational-wave detector data - IPAM at UCLA
- 2 Helvi Witek - Introduction to Numerical Relativity, Part 1 of 2 - IPAM at UCLA
- 3 Helvi Witek - Introduction to Numerical Relativity, Part 2 of 2 - IPAM at UCLA
- 4 Peter Couvares - Computing Challenges in Gravitational-Wave Data Analysis - IPAM at UCLA
- 5 Gunther Uhlmann - Seeing Through Space-Time - IPAM at UCLA
- 6 Pablo Cerdá-Durán - Numerical analysis: Supernovae and burst-like sources - IPAM at UCLA
- 7 Antonio Marquina - Machine Learning for Gravitational Wave Astronomy: concepts & terminology
- 8 Salvatore Vitale - Inferring the properties of populations of gravitational-wave sources - IPAM UCLA
- 9 Stefanos Aretakis - Topics in mathematical general relativity I
- 10 Sylvia Biscoveanu - Source characterization of individual compact binary coalescences - IPAM at UCLA
- 11 Helvi Witek - Tutorial: 3+1 decomposition with xTensor - IPAM at UCLA
- 12 Jose Antonio Font - Numerical analysis: binary neutron stars - IPAM at UCLA
- 13 Stefanos Aretakis - Topics in mathematical general relativity II - IPAM at UCLA
- 14 Antonio Marquina - Introduction to Machine Learning for Gravitational Wave Astronomy II - IPAM
- 15 Patricia Schmidt - Introduction to modelling gravitational waves from compact binaries
