Sprecher
Beschreibung
The distribution of galaxies in the Universe holds important information about the origin and evolution of the Universe. It can elucidate some fundamental questions in current cosmology, for example, the nature of Dark Energy that accelerates the expansion of the Universe. Extracting this information from observations, however, poses considerable challenges in theoretical modeling and statistical analysis. By following the physical processes that shape the observed structures, it is possible to conduct a fully Bayesian analysis of the three-dimensional distribution of galaxies. In this framework, both model choices and priors are determined by physical principles. This talk outlines the underlying concepts and discusses both the challenges and limitations of this approach.