https://univ-grenoble-alpes-fr.zoom.us/j/98838875999?pwd=eDVaQmp3bmdjMC8rbjJUa2d2c2xBUT09
Extracting the full information content of the weak lensing data requires analysis methods that are both highly precise and maximally informative. The standard analysis, based on correlation functions, discards information in the data and relies on simplifying assumptions in the physical and statistical modelling. In this talk, I will present a new approach for weak lensing analysis that employs a full physically-motivated model and field-level statistics. This approach analyses the lensing maps pixel by pixel, making optimal use of the data. As the proof of concept demonstrated, this method improves the cosmology constraints by up to a factor 5 and provides a digital copy of the Universe, mapping the dark matter density. I will discuss the current status and the techniques to meet the challenges of this approach for its first real data application.