Aims:We compare the performance of multiple codes written by different groups for making polarized maps from Planck-sized, all-sky cosmic microwave background (CMB) data. Three of the codes are based on a destriping algorithm; the other three are implementations of an optimal maximum-likelihood algorithm. <BR />Methods: Time-ordered data (TOD) were simulated using the Planck Level-S simulation pipeline. Several cases of temperature-only data were run to test that the codes could handle large datasets, and to explore effects such as the precision of the pointing data. Based on these preliminary results, TOD were generated for a set of four 217 GHz detectors (the minimum number required to produce I, Q, and U maps) under two different scanning strategies, with and without noise. <BR />Results: Following correction of various problems revealed by the early simulation, all codes were able to handle the large data volume that Planck will produce. Differences in maps produced are small but noticeable; differences in computing resources are large.

Ashdown, M., Baccigalupi, C., Balbi, A., Bartlett, J., Borrill, J., Cantalupo, C., et al. (2007). Making sky maps from Planck data. ASTRONOMY & ASTROPHYSICS, 467(2), 761-775 [10.1051/0004-6361:20065829].

Making sky maps from Planck data

BALBI, AMEDEO;DE GASPERIS, GIANCARLO;NATOLI, PAOLO;
2007-01-01

Abstract

Aims:We compare the performance of multiple codes written by different groups for making polarized maps from Planck-sized, all-sky cosmic microwave background (CMB) data. Three of the codes are based on a destriping algorithm; the other three are implementations of an optimal maximum-likelihood algorithm.
Methods: Time-ordered data (TOD) were simulated using the Planck Level-S simulation pipeline. Several cases of temperature-only data were run to test that the codes could handle large datasets, and to explore effects such as the precision of the pointing data. Based on these preliminary results, TOD were generated for a set of four 217 GHz detectors (the minimum number required to produce I, Q, and U maps) under two different scanning strategies, with and without noise.
Results: Following correction of various problems revealed by the early simulation, all codes were able to handle the large data volume that Planck will produce. Differences in maps produced are small but noticeable; differences in computing resources are large.
2007
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore FIS/05 - ASTRONOMIA E ASTROFISICA
English
Con Impact Factor ISI
cosmology: cosmic microwave background; methods: data analysis
Ashdown, M., Baccigalupi, C., Balbi, A., Bartlett, J., Borrill, J., Cantalupo, C., et al. (2007). Making sky maps from Planck data. ASTRONOMY & ASTROPHYSICS, 467(2), 761-775 [10.1051/0004-6361:20065829].
Ashdown, M; Baccigalupi, C; Balbi, A; Bartlett, J; Borrill, J; Cantalupo, C; DE GASPERIS, G; G{\'Orski}, K; Hivon, E; Keih{\anen}, E; Kurki Suonio, H;...espandi
Articolo su rivista
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/15862
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? 46
social impact