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Stochastic Background Searches in GW Experiments - IPAM at UCLA

Offered By: Institute for Pure & Applied Mathematics (IPAM) via YouTube

Tags

Gravitational Wave Astronomy Courses Signal Processing Courses Astrophysics Courses

Course Description

Overview

Explore the fascinating world of stochastic background searches in gravitational wave experiments through this 50-minute lecture by Arianna Renzini from the California Institute of Technology. Delve into the concept of the stochastic gravitational wave background (SGWB), understanding how unresolved signals collectively form a background noise in gravitational wave detectors. Learn about various search methods employed in gravitational wave experiments, with a focus on ground-based networks. Discover the latest results from the LVK collaboration searches and gain insights into the estimated time-to-detection. Examine the potential for detection with LISA, the future space-borne gravitational wave observatory. Covering topics such as background characteristics, detection methods, cross-correlation statistics, and anisotropic searches, this comprehensive talk provides a thorough overview of current research and future prospects in the field of stochastic background searches in gravitational wave astronomy.

Syllabus

Intro
Outline
What are stochastic background searches
Stochastic background searches
Background characteristics
Background direction
Detection methods
Crosscorrelation statistics
Overlap functions
Low signal limit
Frequency space
Directional dependence
Overlap function
Nongaussian background
Numerical results
Anisotropic searches
Future prospects


Taught by

Institute for Pure & Applied Mathematics (IPAM)

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