Orateur
Description
While the next generation of surveys soon starting will generate orders of magnitude more data than previously, it is becoming increasingly clear that traditional techniques are not up to the challenge of fully exploiting the raw data. The last few years have seen vast progress in the field of probabilistic large-scale structure inference, which differs in intent from traditional measurements of statistical summaries from galaxy survey catalogues. In this talk, I will review recent methodological advances. First, I will present the field-level likelihood-based approach, which allows the ab initio simultaneous analysis of the formation history and morphology of the cosmic web. Second, I will discuss the inference of physical parameters when the likelihood is implicitly defined by a "black-box" simulator.
