CMB Component Separation at ITA, now and in the future
The most important data set in cosmology is the cosmic microwave background (CMB). In recent years, the data of focus have been those gathered by the Planck satellite, which scanned the full sky in the microwave domain. However, the process of extracting CMB from raw data poses many challenges, most notably galactic foregrounds. In Oslo, we focus on a bayesian approach to component separation; the process of decomposing the sky signal into its various signals. In this talk i will go through the basics of our component separation methods, the importance of controlling instrumental errors and our fight against degeneracies. Furthermore, I will elaborate on the future prospects of the Oslo component separation team, and our plans to extend our observed frequency range with auxiliary data sets. This will allow us to sufficiently describe the physical properties of the plethora of foregrounds signals, and in turn yield a clean CMB map.