We report here the Band Power Spectra and parameters estimated for the component separation methods applied to Simulated data. For each method we estimate the full sky band power spectra with Xfaster, propagate to parameters with a Gaussian correlated Likelihood, and sample parameters with CosmoMC, marginalizing over tailored foreground residual templates. In addition we consider a hybrid likelihood: BFlike (pixel based likelihood) at low-l and XFlike (Xfaster likelihood) at high-l.

red|Updates (on November 22nd, 2018)
In this post we present results for GNILC, Model 91, 92, 92A0p15, fsky98

Band Powers (BP) and uncertainties for GNILC BB map, model 91, 92 and 92A0p15 (first panel).
Also shown are the residuals of the estimated BP and the input spectra (ffp10_lensedCls.dat) used to simulate the input maps (second panel).
The BP was estimated with XFpipe.

Band Powers (BP) and uncertainties for GNILC BB map, model 91, 92 and 92A0p15 (first panel).
Also shown are the residuals of the estimated BP and the input spectra (ffp10_wtensors_tensCls.dat) used to simulate the input maps (second panel).
The BP was estimated with XFpipe.