A Caltech Library Service

Making maps from Planck LFI 30 GHz data

Ashdown, M. A. J. and Baccigalupi, C. and Balbi, A. and Bartlett, J. G. and Borrill, J. and Cantalupo, C. and de Gasperis, G. and Górski, K. M. and Heikkilä, V. and Hivon, E. and Keihänen, E. and Kurki-Suonio, H. and Lawrence, C. R. and Natoli, P. and Poutanen, T. and Prunet, S. and Reinecke, M. and Stompor, R. and Wandelt, B. (2007) Making maps from Planck LFI 30 GHz data. Astronomy and Astrophysics, 471 (1). pp. 361-380. ISSN 0004-6361. doi:10.1051/0004-6361:20077312.

PDF - Published Version
See Usage Policy.


Use this Persistent URL to link to this item:


This paper is one of a series describing the performance and accuracy of map-making codes as assessed by the PLANCK CTP working group. 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, whereas the other three are implementations of a maximum-likelihood algorithm. Previous papers in the series described simulations at 100 GHz (Poutanen et al. 2006, A&A, 449, 1311) and 217 GHz (Ashdown et al. 2007, A&A, 467, 761). In this paper we make maps (temperature and polarisation) from the simulated one-year observations of four 30 GHz detectors of PLANCK Low Frequency Instrument (LFI). We used PLANCK Level S simulation pipeline to produce the observed time-ordered-data streams (TOD). Our previous studies considered polarisation observations for the CMB only. For this paper we increased the realism of the simulations and included polarized galactic foregrounds in our sky model, which is based on the version 0.1 of the PLANCK reference sky. Our simulated TODs comprised dipole, CMB, diffuse galactic emissions, extragalactic radio sources, and detector noise. The strong subpixel signal gradients arising from the foreground signals couple to the output map through the map-making and cause an error (signal error) in the maps. Destriping codes have smaller signal error than the maximum-likelihood codes. We examined a number of schemes to reduce this error. On the other hand, the maximum-likelihood map-making codes can produce maps with lower residual noise than destriping codes.

Item Type:Article
Related URLs:
URLURL TypeDescription
Additional Information:© ESO 2007. Received 16 February 2007. Accepted 29 May 2007. The work reported in this paper was done by the CTP Working Group of the Planck Consortia. Planck is a mission of the European Space Agency. The authors would like to thank Institut d’Astrophysique de Paris (IAP) for its hospitality in June 2005 when the CTP Working Group met to undertake this work. This research used resources of the National Energy Research Scientific Computing Center, which is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC03-76SF00098. We acknowledge the use of version 0.1 of the Planck reference sky model, prepared by the members of the Planck Working Group 2 and available at This work has made use of the Planck satellite simulation package (Level S), which is assembled by the Max Planck Institute for Astrophysics Planck Analysis Centre (MPAC). CB was supported in part by the NASA LTSA grant NNG04GC90G. EK and TP were supported by the Academy of Finland grants no. 205800, 213984, and 214598. They also thank the von Frenckell foundation for financial support. RS acknowledges support of the Marie Curie IRG (FY2006) grant. Some of the results in this paper have been derived using the HEALPix package (Górski et al. 1999, 2005a). The US Planck Project is supported by the NASA Science Mission Directorate.
Funding AgencyGrant Number
NASA Long-Term Space Astrophysics (LTSA)NNG04GC90G
Academy of Finland205800
Academy of Finland213984
Academy of Finland214598
von Frenckell FoundationUNSPECIFIED
Marie Curie International Reintegration Grant (IRG)FY2006
Subject Keywords:cosmology : cosmic microwave background; methods : data analysis; techniques : image processing; cosmology : observations
Issue or Number:1
Record Number:CaltechAUTHORS:20100916-111148297
Persistent URL:
Official Citation:Making maps from Planck LFI 30 GHz data M. A. J. Ashdown, C. Baccigalupi, A. Balbi, J. G. Bartlett, J. Borrill, C. Cantalupo, G. de Gasperis, K. M. Górski, V. Heikkilä, E. Hivon, E. Keihänen, H. Kurki-Suonio, C. R. Lawrence, P. Natoli, T. Poutanen, S. Prunet, M. Reinecke, R. Stompor and B. Wandelt A&A 471 (1) 361-380 (2007) DOI: 10.1051/0004-6361:20077312
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19980
Deposited By: Tony Diaz
Deposited On:16 Sep 2010 23:33
Last Modified:08 Nov 2021 23:56

Repository Staff Only: item control page