Planck 2018 results

Y. Akrami; F. Argüeso; M. Ashdown; J. Aumont; C. Baccigalupi; M. Ballardini; A. J. Banday; R. B. Barreiro; N. Bartolo; S. Basak; K. Benabed; J.-P. Bernard; M. Bersanelli; P. Bielewicz; L. Bonavera; J. R. Bond; J. Borrill; F. R. Bouchet; F. Boulanger; M. Bucher; C. Burigana; R. C. Butler; E. Calabrese; J.-F. Cardoso; L. P. L. Colombo; B. P. Crill; F. Cuttaia; P. de Bernardis; A. de Rosa; G. de Zotti; J. Delabrouille; E. Di Valentino; C. Dickinson; J. M. Diego; S. Donzelli; A. Ducout; X. Dupac; G. Efstathiou; F. Elsner; T. A. Enßlin; H. K. Eriksen; Y. Fantaye; F. Finelli; M. Frailis; E. Franceschi; A. Frolov; S. Galeotta; S. Galli; K. Ganga; R. T. Génova-Santos; M. Gerbino; T. Ghosh; J. González-Nuevo; K. M. Górski; S. Gratton; A. Gruppuso; J. E. Gudmundsson; W. Handley; F. K. Hansen; D. Herranz; E. Hivon; Z. Huang; A. H. Jaffe; W. C. Jones; A. Karakci; E. Keihänen; R. Keskitalo; K. Kiiveri; J. Kim; T. S. Kisner; N. Krachmalnicoff; M. Kunz; H. Kurki-Suonio; J.-M. Lamarre; A. Lasenby; M. Lattanzi; C. R. Lawrence; J. P. Leahy; F. Levrier; M. Liguori; P. B. Lilje; V. Lindholm; M. López-Caniego; Y.-Z. Ma; J. F. Macías-Pérez; G. Maggio; D. Maino; N. Mandolesi; A. Mangilli; M. Maris; P. G. Martin; E. Martínez-González; S. Matarrese; N. Mauri; J. D. Mcewen; P. R. Meinhold; A. Melchiorri; A. Mennella; M. Migliaccio; D. Molinari; L. Montier; G. Morgante; A. Moss; P. Natoli; L. Pagano; D. Paoletti; B. Partridge; G. Patanchon; L. Patrizii; M. Peel; F. Perrotta; V. Pettorino; F. Piacentini; G. Polenta; J.-L. Puget; J. P. Rachen; B. Racine; M. Reinecke; M. Remazeilles; A. Renzi; G. Rocha; G. Roudier; J. A. Rubiño-Martín; L. Salvati; M. Sandri; M. Savelainen; D. Scott; 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; T. Trombetti; J. Valiviita; F. Vansyngel; B. van Tent; P. Vielva; F. Villa; N. Vittorio; B. D. Wandelt; R. Watson; I. K. Wehus; A. Zacchei; A. Zonca

doi:10.1051/0004-6361/201833293

Journal articles

Planck 2018 results: II. Low Frequency Instrument data processing

Y. 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 ^{8, 9} M. Bucher ¹⁰ C. Burigana R. C. Butler E. Calabrese J.-F. Cardoso ¹¹ L. P. L. Colombo B. P. Crill F. Cuttaia P. de Bernardis ¹² A. de Rosa G. de Zotti J. Delabrouille ¹⁰ E. Di Valentino C. Dickinson J. M. Diego S. Donzelli A. Ducout X. Dupac G. Efstathiou F. Elsner ¹³ T. A. Enßlin H. K. Eriksen Y. Fantaye F. Finelli M. Frailis E. Franceschi A. Frolov ¹⁴ S. Galeotta S. Galli K. Ganga ¹⁰ R. T. Génova-Santos M. Gerbino T. Ghosh ¹⁵ J. González-Nuevo K. M. Górski ¹⁶ S. Gratton ¹⁷ A. Gruppuso J. E. Gudmundsson W. Handley F. K. Hansen D. Herranz E. Hivon ³ Z. Huang ¹⁸ 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 ¹⁹ A. Lasenby M. Lattanzi ²⁰ C. R. Lawrence J. P. Leahy F. Levrier ^{19, 1} M. Liguori P. B. Lilje V. Lindholm M. López-Caniego Y.-Z. Ma J. F. Macías-Pérez ²¹ G. Maggio D. Maino ^* N. Mandolesi A. Mangilli ² M. Maris P. G. Martin E. Martínez-González S. Matarrese ²² N. Mauri J. D. Mcewen P. R. Meinhold A. Melchiorri ²³ A. Mennella M. Migliaccio D. Molinari L. Montier ² G. Morgante A. Moss P. Natoli L. Pagano ¹⁵ D. Paoletti B. Partridge G. Patanchon ¹⁰ L. Patrizii M. Peel F. Perrotta V. Pettorino ²⁴ F. Piacentini G. Polenta J.-L. Puget ¹⁵ J. P. Rachen B. Racine ²⁵ M. Reinecke M. Remazeilles ²⁶ A. Renzi G. Rocha ¹⁶ G. Roudier ^{19, 10} J. A. Rubiño-Martín L. Salvati ¹⁵ M. Sandri ²⁷ M. Savelainen D. Scott ²⁸ 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 ²⁹ T. Trombetti J. Valiviita F. Vansyngel ¹⁵ B. van Tent ³⁰ P. Vielva F. Villa N. Vittorio B. D. Wandelt ³ R. Watson ³¹ I. K. Wehus A. Zacchei A. Zonca

* Corresponding author

1 Astrophysique

LPENS (UMR_8023) - Laboratoire de physique de l'ENS - ENS Paris

2 IRAP - Institut de recherche en astrophysique et planétologie

3 IAP - Institut d'Astrophysique de Paris

4 Università degli studi di Parma [Parme, Italie]

5 CITA - Canadian Institute for Theoretical Astrophysics

6 LBNL - Lawrence Berkeley National Laboratory [Berkeley]

7 PLH - Patrimoine, Littérature, Histoire

8 LRI - Laboratoire de Recherche en Informatique

9 CentraleSupélec

10 APC (UMR_7164) - AstroParticule et Cosmologie

11 Universidade Aberta [Lisboa]

12 Dipartimento di Fisica [Roma La Sapienza]

13 IAP - Institut d'Astrophysique de Paris

14 Laboratory for Phytosanitary Diagnostics and Forecasts, All-Russian Institute for Plant Protection

15 IAS - Institut d'astrophysique spatiale

16 JPL - Jet Propulsion Laboratory

17 Toulouse INP - Institut National Polytechnique (Toulouse)

18 AOSS - Department of Atmospheric, Oceanic, and Space Sciences [Ann Arbor]

19 LERMA (UMR_8112) - Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique

20 ICRA and Physics Department

21 LPSC - Laboratoire de Physique Subatomique et de Cosmologie

22 Dipartimento di Fisica "G. Galilei"

23 Università degli Studi di Roma "La Sapienza" [Rome]

24 AIM (UMR_7158 / UMR_E_9005 / UM_112) - Astrophysique Interprétation Modélisation

25 CEA-LETI - Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information

26 University of Manchester [Manchester]

27 VIMM - Venetian Institute Molecular Medicine

28 UBC - University of British Columbia

29 NBCM - Laboratoire de neurobiologie cellulaire et moléculaire

30 IJCLab - Laboratoire de Physique des 2 Infinis Irène Joliot-Curie

31 School of Psychology

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.

Keywords : cosmic background radiation methods: data analysis space vehicles: instruments

Document type :

Journal articles

Domain :

Physics [physics] / Astrophysics [astro-ph]

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Planck 2018 results: II. Low Frequency Instrument data processing

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