Issue |
A&A
Volume 374, Number 1, July IV 2001
|
|
---|---|---|
Page(s) | 358 - 370 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361:20010692 | |
Published online | 15 July 2001 |
MAPCUMBA: A fast iterative multi-grid map-making algorithm for CMB experiments
1
Institut d'Astrophysique de Paris, 98bis, Boulevard Arago, 75014 Paris, France
2
Service d'Astrophysique, DAPNIA, Centre d'Études de Saclay, 91191 Gif-sur-Yvette, France
3
CITA, McLennan Labs, 60 St George Street, Toronto, ON M5S 3H8, Canada
Corresponding author: O. Doré, dore@iap.fr
Received:
21
December
2000
Accepted:
2
May
2001
The data analysis of current Cosmic Microwave Background
(CMB) experiments like BOOMERanG or MAXIMA poses severe challenges
which already stretch the limits of current (super-) computer
capabilities, if brute force methods are used. In this paper we present
a practical solution for the optimal map making problem which can be
used directly for next generation CMB experiments like ARCHEOPS and
TopHat, and can probably be extended relatively easily to the full
PLANCK case. This solution is based on an iterative multi-grid Jacobi
algorithm which is both fast and memory sparing. Indeed, if there are
data points along the one dimensional timeline to analyse,
the number of operations is of
and the memory requirement is
. Timing and accuracy issues have been analysed on
simulated ARCHEOPS and TopHat data, and we discuss as well the issue
of the joint evaluation of the signal and noise statistical
properties.
Key words: methods: data analysis / cosmic microwave background
© ESO, 2001
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