Noise estimation in CMB time-streams and fast map-making. Application to the BOOMERanG98 data
Year: 2001
Type: conference-paper
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.
Authors: Prunet, S., Ade, P. 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, P. D., Melchiorri, A., Miglio, L., Montroy, T., Netterfield, C. B., Pascale, E., Piacentini, F., Pogosyan, D., Pongetti, F., Prunet, S., Rao, S., Romeo, G., Ruhl, J. E., Scaramuzzi, F., Sforna, D., Vittorio, N.
Institutions: Sapienza University of Rome, Queen Mary University of London, Jet Propulsion Laboratory, Lawrence Berkeley National Laboratory, National Energy Research Scientific Computing Center, University of California, Berkeley, University of California, Santa Barbara, California Institute of Technology, University of Toronto, Canadian Institute for Theoretical Astrophysics, University of Rome Tor Vergata, University of Oxford, National Agency for New Technologies, Energy and Sustainable Economic Development, ENEA Frascati Research Centre, Cardiff University, Collège de France
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1830123391