Ashdown, MAJ

Baccigalupi, C

Balbi, A

Bartlett, JG

Borrill, J

Cantalupo, C

de Gasperis, G

G{\'orski}, KM

Hivon, E

Keih{\"anen}, E

Kurki-Suonio, H

Lawrence, CR

Natoli, P

Poutanen, T

Prunet, S

Reinecke, M

Stompor, R

The Planck CTP Working Group, n

Wandelt, B

arXiv

Ashdown, M.

Baccigalupi, C.

Balbi, A.

Bartlett, J.

Borrill, J.

Cantalupo, C.

de Gasperis, G.

Górski, K.

Hivon, E.

Keihänen, E.

Kurki-Suonio, H.

Lawrence, C.

Natoli, P.

Poutanen, T.

Prunet, S.

Reinecke, M.

Stompor, R.

Wandelt, B.

MPG.PuRe

Making sky maps from Planck data

19 pages, 3 figures. Submitted to A&AWe 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. 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. 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. A. J.

Bartlett, J.G.

Gorski, K. M.

Keihanen, E.

Lawrence, C. R.

Stompor, Radek

HAL: Hyper Article en Ligne

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

Bartlett, J. G.

De Gasperis, G.

Górski, K. M.

Keihänen, E.

Sissa Digital Library

Górski, K. M.

SISSA Digital Library

HAL-IN2P3

Ashdown, M. A. J

Borill, J.

Keihänen, Elina

Kurki-Suonio, Hannu

Poutanen, Torsti

The Planck CTP Working Group

Helsingin yliopiston digitaalinen arkisto

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

Making sky maps from Planck data

Abstract

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MPG.PuRe

HAL: Hyper Article en Ligne

Sissa Digital Library

SISSA Digital Library

HAL-IN2P3

Helsingin yliopiston digitaalinen arkisto

MPG.PuRe

EDP Sciences OAI-PMH repository (1.2.0)