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Jose Antonio Font - Numerical analysis: binary neutron stars - IPAM at UCLA
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Classroom Contents
Math and Computational Challenges in the Era of Gravitational Wave Astronomy
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- 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
