Speaker
Description
Detailed measurements of the cosmic microwave background during the last three decades have revolutionized our understanding of the Big Bang and the evolution of structure in the universe. These advances have been made possible through a close collaboration between instrumentalists, theorists and data analysts. As the signal-to-noise ratio of available data increases, it becomes more and more important to take into account all relevant effects at the same time, and in this talk I will present one specific framework that addresses this challenge head-on through global Bayesian modelling. This already played a major role in the analysis of ESA's Planck mission, and it is likely to play an even bigger role in next-generation experiments, as the importance of systematic uncertainties continue to increase. Furthermore, the fundamental lessons learned from this line of work are likely to be of interest to a wide range of other cosmological and astrophysical experiments as their sensitivity also continue to increase.
