Joint Bayesian Component Separation and CMB Power Spectrum Estimation
Joint Bayesian Component Separation and CMB Power Spectrum Estimation
We describe and implement an exact, flexible, and computationally efficient algorithm for joint component separation and CMB power spectrum estimation, building on a Gibbs sampling framework. Two essential new features are 1) conditional sampling of foreground spectral parameters, and 2) joint sampling of all amplitude-type degrees of freedom (e.g., CMB, …