Stochastic background searches in GW experiments
Presenter
November 15, 2021
Abstract
Recorded 15 November 2021. Arianna Renzini of the California Institute of Technology presents "Stochastic background searches in GW experiments" at IPAM's Workshop III: Source inference and parameter estimation in Gravitational Wave Astronomy.
Abstract: The collection of individually resolvable GW events makes up a tiny fraction of all the GWs which reach our GW detectors, while most lie below the confusion limit and go undetected. Like voices in a crowded room, the collection of unresolved signals gives rise to a background which is well-described by stochastic variables, and hence referred to as the stochastic GW background (SGWB). In this talk, I will introduce the signal of stochastic backgrounds and give an overview of search methods in GW experiments. Focusing on the ground-based network, I will present the most recent results from LVK collaboration searches and discuss the current estimated time-to-detection. I will then discuss possibilities of detection with LISA, the future space-borne GW observatory.
Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iii-source-inference-and-parameter-estimation-in-gravitational-wave-astronomy/?tab=schedule