  We use an iterative generalized least squares map-making algorithm, in
conjunction with Monte Carlo techniques, to obtain estimates of the angular
power spectrum from cosmic microwave background (CMB) maps. This is achieved by
characterizing and removing the instrumental noise contribution in multipole
space. This technique produces unbiased estimates and can be applied to an
arbitrary experiment. In this paper, we use it on realistic simulations of
Planck Low Frequency Instrument (LFI) observations, showing that it can lead to
fast and reliable estimation of the CMB angular power spectrum from megapixel
maps.

Astrophysics