Turbocharged data analysis could prevent gravitational wave computing crunch

Published: 10 May 2022

A new method of analysing the complex data from massive astronomical events could help gravitational wave astronomers avoid a looming computational crunch. Researchers from the University of Glasgow have used machine learning to develop a new system for processing the data collected from detectors like the Laser Interferometer Gravitational-Wave Observatory (LIGO).

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First published: 10 May 2022

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