Deconvolution Map-Making for Cosmic Microwave Background Observations

Abstract

We describe a new map-making code for cosmic microwave background (CMB) observations. It implements fast algorithms for convolution and transpose convolution of two functions on the sphere (Wandelt & Górski 2001). Our code can account for arbitrary beam asymmetries and can be applied to any scanning strategy. We demonstrate the method using simulated time-ordered data for three beam models and two scanning patterns, including a coarsened version of the WMAP strategy. We quantitatively compare our results with a standard map-making method and demonstrate that the true sky is recovered with high accuracy using deconvolution map-making.

9 pages, 4 figures, reference added, and small correction in figure 2. Full paper with high resolution figures at http://www.astro.uiuc.edu/~carmitag/map-making.html

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• Destriping CMB temperature and polarization maps
• Lensing reconstruction from PLANCK sky maps: inhomogeneous noise
• Comparison of map-making algorithms for CMB experiments
• Optimal Image Reconstruction in Radio Interferometry
• Iterative destriping and photometric calibration for Planck-HFI, polarized, multi-detector map-making
• ArtDeco: A beam deconvolution code for absolute CMB measurements
• Residual noise covariance for Planck low-resolution data analysis
• PReBeaM for Planck: A Polarized Regularized Beam Deconvolution Map-Making Method
• Data analysis methods for the cosmic microwave background
• Accelerating Cosmic Microwave Background map-making procedure through preconditioning
• Cosmic Microwave Background Mapmaking with a Messenger Field
• Bayesian inference on the sphere beyond statistical isotropy
• MAPPRAISER: A massively parallel map-making framework for multi-kilo pixel CMB experiments
• A deconvolution map-making method for experiments with circular scanning strategies
• The impact of beam deconvolution on noise properties in CMB measurements: Application to Planck LFI
• Application of beam deconvolution technique to power spectrum estimation for CMB measurements