This detection is particularly challenging, as the signal we look for is very low, and shadowed by various sources of galactic and extra-galactic contamination: polarised dust, synchrotron radiation and weak gravitational lensing - to name a few. The next generation of CMB polarisation experiments therefore needs not only to reach an unprecedented raw instrumental sensitivity, but also to be able to distinguish the signal from these contaminations. This calls for enhanced detection capabilities, new technologies, as well as novel data analysis methods. 

 

This work focuses on understanding whether this increased complexity of CMB experiments will effectively lead to better performances, and at which cost regarding the control of systematic effects. I develop new, involved data models taking into account various instrumental parameters to ensure a better modelling of instrumental systematic effects, in the context of new generation CMB polarisation experiments - POLARBEAR/Simons Array and the Simons Observatory. To prepare for future experiments, I propose an extension of component separation forecasting framework to take into account instrumental systematic effects. I demonstrate its capabilities as a key tool for forecasting the performance of future experiments, and inform calibration strategies to achieve the required performance.

The work under the supervision of Radek Stompor and Josquin Errard.