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Noise estimation in CMB time-streams and fast map-making

Prunet, S., Ade, Peter A. R., Bock, J. J., Bond, J. R., Borrill, J., Boscaleri, A., Coble, K., Crill, B. P., de Bernardis, P., De Gasperis, G., De Troia, G., Farese, P. C., Ferreira, P. G., Ganga, K., Giacometti, M., Hivon, E., Hristov, V. V., Iacoangeli, A., Jaffe, A. H., Lange, A. E., Martinis, L., Masi, S., Mason, P., Mauskopf, Philip Daniel, Melchiorri, A., Miglio, L., Montroy, T., Netterfield, C. B., Pascale, Enzo, Piacentini, F., Pogosyan, D., Pongetti, F., Rao, S., Romeo, G., Ruhl, J. E., Scaramuzzi, F., Sforna, D. and Vittorio, N. 2000. Noise estimation in CMB time-streams and fast map-making. Presented at: Mining the sky:MPA/ESO/MPE Workshop, Garching, Germany, July 31 – August 4, 2000. Published in: Banday, A. J., Zaroubi, S. and Bartelmann, M. L. eds. Mining the Sky: Proceedings of the MPA/ESO/MPE Workshop Held at Garching, Germany, July 31 - August 4, 2000. ESO astrophysics symposia London: Springer, pp. 421-427. 10.1007/10849171_53

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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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Physics and Astronomy
Subjects: Q Science > QB Astronomy
Publisher: Springer
ISBN: 9783540424680
ISSN: 1431-2433
Related URLs:
Last Modified: 17 May 2019 21:19
URI: http://orca-mwe.cf.ac.uk/id/eprint/61851

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