Machine learning to extract gravitatonal wave transients

Identifying gravitational wave transients, where the waveform cannot be modelled, is complicated because detector data is full of noise transients.

Cutting-edge classification techniques will allow an improved method to distinguish signals from the noise background, increasing the likelihood of making the first detection of a poorly-modelled gravitational-wave transient signal from an event such as a supernova.

Supervisor: Professor Patrick Sutton

Programme information

For programme structure, entry requirements and how to apply, visit the Physics and Astronomy programme.

View programme
Meet us at our Information Fair on 22 February 2018.

Related programmes

Related areas

Related links