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Hans Publishers, Astronomy & Astrophysics

DOI: 10.1051/0004-6361/201525818

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Planck 2013 results. II. Low Frequency Instrument data processing

Journal article published in 2014 by A. Beno??t, A. L??hteenm??ki, M. L??pez Caniego, N. Aghanim, J. F. Mac??as P??rez, C. Armitage-Caplan, E. Mart??nez Gonz??lez, M. Arnaud, M. Ashdown, F. Atrio-Barandela, J. Aumont, H. U. N??rgaard Nielsen, C. Baccigalupi, E. Battaner, Aj J. Banday and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Preprint: archiving forbidden
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Postprint: archiving forbidden
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Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

We describe the data processing pipeline of the Planck Low Frequency Instrument (LFI) data processing centre (DPC) to create and characterize full-sky maps based on the first 15.5 months of operations at 30, 44, and 70 GHz. In particular, we discuss the various steps involved in reducing the data, from telemetry packets through to the production of cleaned, calibrated timelines and calibrated frequency maps. Data are continuously calibrated using the modulation induced on the mean temperature of the cosmic microwave background radiation by the proper motion of the spacecraft. Sky signals other than the dipole are removed by an iterative procedure based on simultaneous fitting of calibration parameters and sky maps. Noise properties are estimated from time-ordered data after the sky signal has been removed, using a generalized least squares map-making algorithm. A destriping code (Madam) is employed to combine radiometric data and pointing information into sky maps, minimizing the variance of correlated noise. Noise covariance matrices, required to compute statistical uncertainties on LFI and Planck products, are also produced. Main beams are estimated down to the ≈−20 dB level using Jupiter transits, which are also used for the geometrical calibration of the focal plane. Reproduced with permission from Astronomy & Astrophysics, © ESO 2014