arXiv · astro-ph/0101073
Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data
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.
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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. 2001-01-04. Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data. https://arxiv.org/abs/astro-ph/0101073
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