München 2019 – wissenschaftliches Programm

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GR: Fachverband Gravitation und Relativitätstheorie

GR 12: Gravitational Waves

GR 12.3: Vortrag

Donnerstag, 21. März 2019, 15:00–15:15, HS 4

Deep learning in gravitational wave data analysis — •Marlin Schäfer — Albert Einstein Institut, Hannover, Deutschland

We discuss the application of machine learning through deep convolution neural networks to the search for gravitational waves from compact binary mergers. We further consider the usefulness of such techniques in low and high latency searches, and discuss the prospects for the future.