We have compared the cosmic microwave background (CMB) temperature anisotropy maps made from one-year time ordered data (TOD) streams that simulated observations of the originally planned 100 GHz Planck Low Frequency Instrument (LFI). The maps were made with three different codes. Two of these, ROMA and MapCUMBA, were implementations of maximum-likelihood (ML) map-making, whereas the third was an implementation of the destriping algorithm. The purpose of this paper is to compare these two methods, ML and destriping, in terms of the maps they produce and the angular power spectrum estimates derived from these maps. The difference in the maps produced by the two ML codes was found to be negligible. As expected, ML was found to produce maps with lower residual noise than destriping. In addition to residual noise, the maps also contain an error which is due to the effect of subpixel structure in the signal on the map-making method. This error is larger for ML than for destriping. If this error is not corrected a bias will be introduced in the power spectrum estimates. This study is related to Planck activities.

Poutanen, T., DE GASPERIS, G., Hivon, E., Kurki Suonio, H., Balbi, A., Borrill, J., et al. (2006). Comparison of map-making algorithms for CMB experiments. ASTRONOMY & ASTROPHYSICS, 449, 1311-1322 [10.1051/0004-6361:20052845].

Comparison of map-making algorithms for CMB experiments

DE GASPERIS, GIANCARLO;BALBI, AMEDEO;NATOLI, PAOLO;
2006

Abstract

We have compared the cosmic microwave background (CMB) temperature anisotropy maps made from one-year time ordered data (TOD) streams that simulated observations of the originally planned 100 GHz Planck Low Frequency Instrument (LFI). The maps were made with three different codes. Two of these, ROMA and MapCUMBA, were implementations of maximum-likelihood (ML) map-making, whereas the third was an implementation of the destriping algorithm. The purpose of this paper is to compare these two methods, ML and destriping, in terms of the maps they produce and the angular power spectrum estimates derived from these maps. The difference in the maps produced by the two ML codes was found to be negligible. As expected, ML was found to produce maps with lower residual noise than destriping. In addition to residual noise, the maps also contain an error which is due to the effect of subpixel structure in the signal on the map-making method. This error is larger for ML than for destriping. If this error is not corrected a bias will be introduced in the power spectrum estimates. This study is related to Planck activities.
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore FIS/05 - Astronomia e Astrofisica
English
Con Impact Factor ISI
methods: data analysis; cosmology: cosmic microwave background;
Poutanen, T., DE GASPERIS, G., Hivon, E., Kurki Suonio, H., Balbi, A., Borrill, J., et al. (2006). Comparison of map-making algorithms for CMB experiments. ASTRONOMY & ASTROPHYSICS, 449, 1311-1322 [10.1051/0004-6361:20052845].
Poutanen, T; DE GASPERIS, G; Hivon, E; Kurki Suonio, H; Balbi, A; Borrill, J; Cantalupo, C; Dor{\'E}, O; Keih{\anen}, E; Lawrence, C; Maino, D; Natoli, P; Prunet, S; Stompor, R; Teyssier, R
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/15715
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