Effects of Destriping Errors on CMB Polarisation Power Spectra and and Pixel Noise Covariances

Abstract

Low frequency detector noise in CMB experiments must be corrected to produce faithful maps of the temperature and polarization anisotropies. For a Planck-type experiment the low frequency noise corrections lead to residual stripes in the maps. Here I show that for a ring torus and idealised detector geometry it is possible to calculate analytically the effects of destriping errors on the temperature and polarization power spectra. It is also possible to compute the pixel-pixel noise covariances for maps of arbitrary resolution. The analytic model is compared to numerical simulations using a realistic detector and scanning geometries. We show that Planck polarization maps at 143 GHz should be signal dominated on large scales. Destriping errors are the dominant source of noise for the temperature and polarization power spectra at multipoles ell < 10. A fast Monte-Carlo method for characterising noise, including destriping errors, is described that can be applied to Planck. This Monte-Carlo method can be used to quantify pixel-pixel noise covariances and to remove noise biases in power spectrum estimates.

arXiv comment19 pages submitted to MNRAS

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• Planck early results. VI. The High Frequency Instrument data processing
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• Impact of Galactic polarized emission on B-mode detection at low multipoles
• Iterative destriping and photometric calibration for Planck-HFI, polarized, multi-detector map-making
• Residual noise covariance for Planck low-resolution data analysis
• Efficient least-squares basket-weaving
• Making Maps from Planck LFI 30GHz Data with Asymmetric Beams and Cooler Noise
• Effect of Fourier filters in removing periodic systematic effects from CMB data
• Using hybrid GPU/CPU kernel splitting to accelerate spherical convolutions