Issues in Gravitational Wave Detection and Inference
International Centre for Theoretical Sciences via YouTube
Earn a Michigan Engineering AI Certificate — Stay Ahead of the AI Revolution
Launch Your Cybersecurity Career in 6 Months
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore critical challenges in gravitational wave detection and inference through this 20-minute conference talk delivered at the International Centre for Theoretical Sciences. Delve into the complex technical and theoretical issues that arise when detecting and analyzing gravitational wave signals, examining the methodologies and computational approaches used to extract meaningful astrophysical information from these cosmic phenomena. Learn about the current limitations and ongoing developments in gravitational wave data analysis, including signal processing techniques, parameter estimation methods, and the statistical frameworks employed to make robust scientific inferences from detected events. Understand the interplay between theoretical predictions and observational data, and discover how researchers address uncertainties and systematic errors in gravitational wave measurements. This presentation, part of "The Future of Gravitational-Wave Astronomy" discussion meeting celebrating the 10th anniversary of the first gravitational wave detection, provides insights into the sophisticated analytical tools and techniques that enable scientists to unlock the secrets of the universe through gravitational wave observations.
Syllabus
Issues in GW detection & inference by Frank Ohme
Taught by
International Centre for Theoretical Sciences