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Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data

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, , 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. Application to the BOOMERanG98 data. Presented at: Mining the sky:MPA/ESO/MPE Workshop, Garching, Germany, 31 July – 4 Aug 2000. Published in: Banday, A. J., Zaroubi, S. and Bartelmann, M. eds. Mining the Sky Proceedings of the MPA/ESO/MPE Workshop Held at Garching, Germany,. ESO Astrophysics Symposia Berlin, Germany: Springer, pp. 505-509.

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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: 9783662307922
ISSN: 1431-2433
Related URLs:
Last Modified: 21 Dec 2017 20:48
URI: http://orca-mwe.cf.ac.uk/id/eprint/71179

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