Optimal cosmic microwave background map-making in the presence of cross-correlated noise
نویسندگان
چکیده
منابع مشابه
Accelerating the cosmic microwave background map-making procedure through preconditioning
Estimation of the sky signal from sequences of time ordered data is one of the key steps in cosmic microwave background (CMB) data analysis, commonly referred to as the map-making problem. Some of the most popular and general methods proposed for this problem involve solving generalised least-squares (GLS) equations with non-diagonal noise weights given by a block-diagonal matrix with Toeplitz ...
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The map-making process of Cosmic Microwave Background data involves linear inversion problems which cannot be performed by a brute force approach for the large timelines of most modern experiments. We present optimal iterative map-making methods, both COBE and Wiener, and apply these methods on simulated data. They produce very well restored maps, by removing nearly completely the correlated no...
متن کاملMap-making methods for Cosmic Microwave Background experiments
The map-making step of Cosmic Microwave Background data analysis involves linear inversion problems which cannot be performed by a brute force approach for the large timelines of today. We present in this article optimal vector-only map-making methods, which are an iterative COBE method, a Wiener direct filter and a Wiener iterative method. We apply these methods on diverse simulated data, and ...
متن کاملAccelerating Cosmic Microwave Background map-making procedure through preconditioning
Estimation of the sky signal from sequences of time ordered data is one of the key steps in Cosmic Microwave Background (CMB) data analysis, commonly referred to as the map-making problem. Some of the most popular and general methods proposed for this problem involve solving generalised least squares (GLS) equations with non-diagonal noise weights given by a block-diagonal matrix with Toeplitz ...
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Separating foregrounds from the signal is one of the big challenges in cosmic microwave background (CMB) experiments. A simple way to estimate the CMB temperature in a given pixel is to fit for the amplitudes of the CMB and the various foreground components. The variance squared of this estimator is shown to be equal to [(FDF) σ (0) θ + σ 2 shape], where σ (0) θ is the variance in the absence o...
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ژورنال
عنوان ژورنال: Astronomy & Astrophysics
سال: 2016
ISSN: 0004-6361,1432-0746
DOI: 10.1051/0004-6361/201628143