CMB Power Spectrum Estimation for the Planck Surveyor

Abstract

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.

6 pages, 5 figures. Matching accepted version

References in corpus (7)

• A measurement by BOOMERANG of multiple peaks in the angular power spectrum of the cosmic microwave background
• MASTER of the CMB Anisotropy Power Spectrum: A Fast Method for Statistical Analysis of Large and Complex CMB Data Sets
• A Map-Making Algorithm for the Planck Surveyor
• MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments
• Making Maps Of The Cosmic Microwave Background: The MAXIMA Example
• CMB Power Spectrum Estimation via Hierarchical Decomposition
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Cited by in corpus (6)

• Myths and Truths Concerning Estimation of Power Spectra
• Unbiased Estimation of an Angular Power Spectrum
• Comparison of map-making algorithms for CMB experiments
• Fast CMB Power Spectrum Estimation of Temperature and Polarisation with Gabor Transforms
• Aberration of the Cosmic Microwave Background
• Cosmic microwave background power spectrum estimation with the destriping technique