Using Convolutional Neural Networks to identify Gravitational Lenses in Astronomical images

Understand

The Euclid telescope, due for launch in 2021, will perform an imaging and slitless spectroscopy survey over half the sky, to map baryon wiggles and weak lensing.

• During the survey Euclid is expected to resolve 100,000 strong gravitational lens systems.
• This is ideal to find rare lens configurations, provided they can be identified reliably and on a reasonable timescale.
• For this reason we have developed a Convolutional Neural Network (CNN) that can be used to identify images containing lensing systems.