Building Flexible, but Not Too Flexible, Models of Gravitational Wave Data
Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube
Course Description
Overview
Explore gravitational wave data analysis through a conference talk presented by Tyson Littenberg from NASA's Marshall Space Flight Center. Delve into the challenges of developing phenomenological models that accurately fit realistic features in observational data while avoiding overfitting. Learn about the motivations behind these models, their adaptable components for real-life data, and the algorithms used to maintain balance. Examine examples of flexible models in action and gain insights into the future outlook as detector capabilities continue to improve. Enhance your understanding of gravitational wave astronomy and the intricate balance between model flexibility and accuracy in data analysis.
Syllabus
Tyson Littenberg - Building flexible, but not too flexible, models of gravitational wave data
Taught by
Institute for Pure & Applied Mathematics (IPAM)
Related Courses
Information TheoryThe Chinese University of Hong Kong via Coursera Intro to Computer Science
University of Virginia via Udacity Analytic Combinatorics, Part I
Princeton University via Coursera Algorithms, Part I
Princeton University via Coursera Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Stanford University via Coursera