Effects of Destriping Errors on Estimates of the CMB Power Spectrum

Abstract

Destriping methods for constructing maps of the Cosmic Microwave Background (CMB) anisotropies have been investigated extensively in the literature. However, their error properties have been studied in less detail. Here we present an analysis of the effects of destriping errors on CMB power spectrum estimates for Planck-like scanning strategies. Analytic formulae are derived for certain simple scanning geometries that can be rescaled to account for different detector noise. Assuming {Planck-like low-frequency noise, the noise power spectrum is accurately white at high multipoles (l<50). D estriping errors, though dominant at lower multipoles, are small in comparison to the cosmic variance. These results show that simple destriping map-making methods should be perfectly adequate for the analysis of Planck data and support the arguments given in an earlier paper in favour of applying a fast hybrid power spectrum estimator to CMB data with realistic `1/f' noise.

13 pages, 6 figures, submitted to MNRAS

References in corpus (1)

• Non-Gaussianity from Inflation: Theory and Observations

Cited by in corpus (12)

• Hybrid Estimation of CMB Polarization Power Spectra
• Destriping CMB temperature and polarization maps
• Comparison of map-making algorithms for CMB experiments
• Topology beyond the horizon: how far can it be probed?
• Residual noise covariance for Planck low-resolution data analysis
• Effects of Destriping Errors on CMB Polarisation Power Spectra and and Pixel Noise Covariances
• Impact of the 1/f noise and the asymmetric beam on non-Gaussianity searches with Planck
• A deconvolution map-making method for experiments with circular scanning strategies
• On the wavelet analysis of CMB time ordered data: application to Archeops
• Effect of Fourier filters in removing periodic systematic effects from CMB data
• Making Maps from Planck LFI 30GHz Data with Asymmetric Beams and Cooler Noise
• Destriping Cosmic Microwave Background Polarimeter data