Planck 2018 results : II. Low Frequency Instrument data processing

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http://hdl.handle.net/10138/320878

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Planck Collaboration , Akrami , Y , Keihänen , E , Kiiveri , K , Kurki-Suonio , H , Lindholm , V , Savelainen , M , Suur-Uski , A -S & Valiviita , J 2020 , ' Planck 2018 results : II. Low Frequency Instrument data processing ' , Astronomy & Astrophysics , vol. 641 , 2 . https://doi.org/10.1051/0004-6361/201833293

Title: Planck 2018 results : II. Low Frequency Instrument data processing
Author: Planck Collaboration; Akrami, Y.; Keihänen, E.; Kiiveri, K.; Kurki-Suonio, H.; Lindholm, V.; Savelainen, M.; Suur-Uski, A. -S.; Valiviita, J.
Contributor: University of Helsinki, Department of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Department of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
University of Helsinki, Helsinki Institute of Physics
Date: 2020-09-11
Language: eng
Number of pages: 33
Belongs to series: Astronomy & Astrophysics
ISSN: 0004-6361
URI: http://hdl.handle.net/10138/320878
Abstract: We present a final description of the data-processing pipeline for the Planck Low Frequency Instrument (LFI), implemented for the 2018 data release. Several improvements have been made with respect to the previous release, especially in the calibration process and in the correction of instrumental features such as the effects of nonlinearity in the response of the analogue-to-digital converters. We provide a brief pedagogical introduction to the complete pipeline, as well as a detailed description of the important changes implemented. Self-consistency of the pipeline is demonstrated using dedicated simulations and null tests. We present the final version of the LFI full sky maps at 30, 44, and 70 GHz, both in temperature and polarization, together with a refined estimate of the solar dipole and a final assessment of the main LFI instrumental parameters.
Subject: space vehicles: instruments
methods: data analysis
cosmic background radiation
COMPONENT SEPARATION
POWER SPECTRUM
MICROWAVE
115 Astronomy, Space science
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