Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments

Understand

Searches and analyses of strong gravitational lenses are challenging due to the rarity and image complexity of these astronomical objects.

• Next-generation surveys (both ground- and space-based) will provide more opportunities to derive science from these objects, but only if they can be analyzed on realistic time-scales.
• Currently, these analyses are expensive.
• In this work, we present a regression analysis with uncertainty estimates using deep learning models to measure four parameters of strong gravitational lenses in simulated Dark Energy Survey data.