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Planck 2018 results: II. Low Frequency Instrument data processing

yashar Akrami 1 F. Argüeso M. Ashdown J. Aumont C. Baccigalupi M. Ballardini A. J. Banday 2 R. B. Barreiro N. Bartolo S. Basak K. Benabed 3 J.-P. Bernard M. Bersanelli 4 P. Bielewicz L. Bonavera J. R. Bond 5 J. Borrill 6 F. R. Bouchet 7 F. Boulanger M. Bucher 8 C. Burigana R. C. Butler E. Calabrese J.-F. Cardoso 9 L. P. L. Colombo B. P. Crill F. Cuttaia P. de Bernardis 10 A. de Rosa G. de Zotti J. Delabrouille 8 E. Di Valentino C. Dickinson J. M. Diego S. Donzelli A. Ducout X. Dupac G. Efstathiou F. Elsner 11 T. A. Ensslin H. K. Eriksen y. Fantaye F. Finelli M. Frailis E. Franceschi A. Frolov 12 S. Galeotta S. Galli K. Ganga 8 R. T. Génova-Santos M. Gerbino T. Ghosh 13 J. González-Nuevo K. M. Górski 14 Steven Gratton A. Gruppuso J. E. Gudmundsson W. Handley F. K. Hansen D. Herranz E. Hivon 3 Z. Huang 15 A. H. Jaffe W. C. Jones A. Karakci E. Keihänen R. Keskitalo K. Kiiveri J. Kim T. S. Kisner 6 N. Krachmalnicoff M. Kunz H. Kurki-Suonio J.-M. Lamarre 16 A. Lasenby M. Lattanzi 17 C. R. Lawrence J. P. Leahy F. Levrier 16, 1 M. Liguori P. B. Lilje V. Lindholm M. López-Caniego y.-Z. Ma J. F. Macías-Pérez 18 G. Maggio D. Maino * N. Mandolesi A. Mangilli 2 M. Maris P. G. Martin E. Martínez-González S. Matarrese 19 N. Mauri J. D. Mcewen P. R. Meinhold A. Melchiorri 20 A. Mennella M. Migliaccio D. Molinari L. Montier 2 G. Morgante A. Moss P. Natoli L. Pagano 13 D. Paoletti B. Partridge G. Patanchon 8 L. Patrizii M. Peel F. Perrotta V. Pettorino 21 F. Piacentini G. Polenta J.-L. Puget 13 J. P. Rachen B. Racine 22 M. Reinecke M. Remazeilles 23 A. Renzi G. Rocha 14 G. Roudier 16, 8 J. A. Rubiño-Martín L. Salvati 13 M. Sandri 24 M. Savelainen D. Scott 25 D. S. Seljebotn C. Sirignano G. Sirri L. D. Spencer A.-S. Suur-Uski J. A. Tauber D. Tavagnacco M. Tenti L. Terenzi L. Toffolatti M. Tomasi 26 T. Trombetti J. Valiviita F. Vansyngel 13 B. van Tent 27 P. Vielva Francesca Villa N. Vittorio B. D. Wandelt 3 R. Watson 28 I. K. Wehus A. Zacchei A. Zonca 
* Corresponding author
1 Astrophysique
LPENS - Laboratoire de physique de l'ENS - ENS Paris
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.
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yashar Akrami, F. Argüeso, M. Ashdown, J. Aumont, C. Baccigalupi, et al.. Planck 2018 results: II. Low Frequency Instrument data processing. Astronomy and Astrophysics - A&A, EDP Sciences, 2020, 641, pp.A2. ⟨10.1051/0004-6361/201833293⟩. ⟨cea-02936945⟩

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