Capturing the full information in weak lensing data requires new analysis techniques going beyond the standard two-point statistics, which discard the non-Gaussian information in the data. I will present a field-level approach that directly analyses the shear maps at the pixel level and provides uncertainties on the cosmological parameters up to a factor 5 smaller than the two-point statistics...
Wide-field astronomical images contain a mixture of overlapping sources from very different natures, including stars, galaxies, diffuse emission, and artifacts, complicating scientific analyses. Single-channel source separation methods based on deep learning offer a direct and powerful approach to disentangle these components using only individual observations. In this presentation I will...
