ANR PISCO : this work focuses on developing deep learning techniques to revisit each step in the classical cosmic shear analysis pipeline.
The goal is to measure cosmological parameters directly from pixel-level images and apply these techniques to data from the Euclid satellite, with all steps making extensive use of convolutional neural networks.