Open AccessMap‐making methods for cosmic microwave background experiments
Author(s) -
Dupac Xavier,
Giard Martin
Publication year - 2002
Publication title -
monthly notices of the royal astronomical society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.058
H-Index - 383
eISSN - 1365-2966
pISSN - 0035-8711
DOI - 10.1046/j.1365-8711.2002.05057.x
Subject(s) - cosmic microwave background , physics , wiener filter , sky , noise (video) , astrophysics , cosmic background radiation , cosmic cancer database , astronomy , iterative method , algorithm , optics , computer science , computer vision , anisotropy , image (mathematics)
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.