This image is from LVC PRL 116, 241103
Gravitational-wave (GW) observations offer a unique opportunity to study astrophysical and cosmological sources that are difficult to access through electromagnetic observations. Inferring the sources’ properties from their GW signal is one of the key objectives of GW data analysis. The planned improvements in the sensitivity of the ground-based detectors and future space-based observatories, however, bring unique computational and mathematical challenges to the inference problem including long-duration signals, high signal-to-noise ratios, increased parameter dimensionality and overlapping signals. These challenges must be overcome to fully exploit the scientific potential of GW observations. The goal of this workshop is to connect statisticians, computer scientists and GW astrophysicists to discuss the current state-of-the-art approaches to parameter estimation in GW astrophysics, and to identify the open issues to enable fast and reliable inference for different GW sources, including modelled and un-modelled signals, for the current and planned GW observatories.
This workshop will include a poster session; a request for posters will be sent to registered participants in advance of the workshop.
Hybrid Workshop: While this workshop is offered in-person, participants can also register and attend talks virtually. Register here.
Katerina Chatziioannou
(California Institute of Technology)
Jose Antonio Font
(University of Valencia)
Patricia Schmidt
(University of Birmingham)
Salvatore Vitale
(Massachusetts Institute of Technology)
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