This is an old revision of the document!
Data Challenge Maps II
Sept 14 2018, Clem Pryke
Most of the foreground models we are considering for PICO implement spatial variation of the spectral behavior at some level - this produces “decorrelation” - i.e. the sky pattern for a given foreground component changes as a function of frequency. This potentially degrades the efficiency of the component separation algorithms. In this post I look at the decorrelation of the dust pattern by comparing cross-spectra to the geometric mean of auto-spectra (the lower right panel of each plot). We see that only the 98 and 99 (multi-layer and Vansyngel) models are significantly decorrelated.
I take the power spectra using anafast and the mask below. Since foreground do not have E»B this should be fine.
