2001/10/17 by Xavier Dupac, Martin Giard · 1 citation
Physics and Astronomy · #Algorithm #Astronomy #Astrophysics #COSMIC cancer database #Computer science #Computer vision #Cosmic background radiation #Cosmic microwave background #Cosmology and Gravitation Theories #Galaxies: Formation, Evolution, Phenomena #Iterative method #Noise (video) #Optics #Physics #Radio Astronomy Observations and Technology #Sky #Wiener filter #astro-ph
paper · pdf · doi:10.1046/j.1365-8711.2002.05057.x
published as Mon.Not.Roy.Astron.Soc. 330 (2002) 497 · 8 pages without the figures, 11 JPEG figures out of the text, MNRAS, in press
arxiv created 2001/10/17 · openalex publication_date 2002/03/01 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
The map-making step of cosmic microwave background (CMB) data analysis involves linear inversion problems that cannot be performed by a brute-force approach for the large time-lines of today. In this paper we present 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 we show that they produce very well restored maps, by removing nearly completely the correlated noise that appears as intense stripes on the simply pixel-averaged maps. The COBE iterative method can be applied to any signals, assuming the stationarity of the noise in the time-line. The Wiener methods assume both the stationarity of the noise and the sky, which is the case for CMB-only data. We apply the methods to Galactic signals too, and test them on balloon-borne experiment strategies and on a satellite whole-sky survey.