Noise Estimation in CMB Time-Streams and Fast Iterative Map-Making

Authors :: S. Prunet
P. A. R. Ade
J. J. Bock
J. R. Bond
J. Borrill
A. Boscaleri
K. Coble
B. P. Crill
P. de Bernardis
G. De Gasperis
G. De Troia
P. C. Farese
P. G. Ferreira
K. Ganga
M. Giacometti
E. Hivon
V. V. Hristov
A. Iacoangeli
A. H. Jaffe
A. E. Lange
L. Martinis
S. Masi
P. Mason
P. D. Mauskopf
A. Melchiorri
L. Miglio
T. Montroy
C. B. Netterfield
E. Pascale
F. Piacentini
D. Pogosyan
F. Pongetti
S. Rao
G. Romeo
J. E. Ruhl
F. Scaramuzzi
D. Sforna
N. Vittorio
Source :: ESO ASTROPHYSICS SYMPOSIA ISBN: 3540424687
Publication Year :: 2006
Publisher :: Springer-Verlag, 2006.
Abstract: We describe here an iterative method for jointly estimating the noise power spectrum from a CMB experiment's time-ordered data, together with the maximum-likelihood map. We test the robustness of this method on simulated Boomerang datasets with realistic noise.

Subjects :: Physics
Noise estimation
Noise power spectrum
Robustness (computer science)
Iterative method
Cosmic microwave background
Statistics
Map making
Astrophysics::Cosmology and Extragalactic Astrophysics
Algorithm

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