Fig. 3.

Download original image
Examples of cutouts used to train the neural network Top: examples of simulated lenses based on real DES images. Stamps are ordered by increasing Einstein radii (top-left to bottom-right). The top row corresponds to θE = 1.2–1.8″, the middle row to θE = 1.8–2.4″, and the bottom row to θE = 2.4–3.0″. Bottom: examples of LRGs used either as non-lenses during the training of the CNNs (see Sect. 4.1) or as objects onto which we inject a lensed source to build simulated lens systems, as shown in the top panel. All the cutouts are 50 pixels on-a-side, corresponding to 13′′..
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.