Astronomy and Astrophysics – Astrophysics
Scientific paper
2001-01-08
Astronomy and Astrophysics
Astrophysics
10 pages, 8 postscript and 3 jpeg figures. Submitted to AA. Code available at http://ulysse.iap.fr/download/mapcumba/
Scientific paper
10.1051/0004-6361:20010692
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 to 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 N_tod data points along the one dimensional timeline to analyse, the number of operations is O(N_tod ln N_tod) and the memory requirement is O(N_tod). 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.
Bouchet Francois R.
Doré Olivier
Prunet Simon
Teyssier Romain
Vibert Didier
No associations
LandOfFree
MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-473068