Linearized iterative least-squares (LIL): a parameter-fitting algorithm for component separation in multifrequency cosmic microwave background experiments such asPlanck
نویسندگان
چکیده
منابع مشابه
Bayesian blind component separation for cosmic microwave background observations
Abstract. We present a technique based on the Expectation-Maximization (EM) algorithm for the separation of the components of noisy mixtures in the Fourier plane. We perform a semi-blind joint estimation of components, mixing coefficients and noise rms levels. A priori information for the spatial spectrum of the components and for the mixing coefficients can be naturally included in the algorit...
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2015
ISSN: 0035-8711,1365-2966
DOI: 10.1093/mnras/stv1167