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Title: Planck 2018 results: III. High frequency instrument data processing and frequency maps

Abstract

This paper presents the High Frequency Instrument (HFI) data processing procedures for the Planck 2018 release. Major improvements in mapmaking have been achieved since the previous Planck 2015 release, many of which were used and described already in an intermediate paper dedicated to the Planck polarized data at low multipoles. These improvements enabled the first significant measurement of the reionization optical depth parameter using Planck-HFI data. This paper presents an extensive analysis of systematic effects, including the use of end-to-end simulations to facilitate their removal and characterize the residuals. The polarized data, which presented a number of known problems in the 2015 Planck release, are very significantly improved, especially the leakage from intensity to polarization. Calibration, based on the cosmic microwave background (CMB) dipole, is now extremely accurate and in the frequency range 100-353 GHz reduces intensity-to-polarization leakage caused by calibration mismatch. The Solar dipole direction has been determined in the three lowest HFI frequency channels to within one arc minute, and its amplitude has an absolute uncertainty smaller than 0.35 μK, an accuracy of order 10-4. This is a major legacy from the Planck HFI for future CMB experiments. The removal of bandpass leakage has been improved for themore » main high-frequency foregrounds by extracting the bandpass-mismatch coefficients for each detector as part of the mapmaking process; these values in turn improve the intensity maps. This is a major change in the philosophy of "frequency maps", which are now computed from single detector data, all adjusted to the same average bandpass response for the main foregrounds. End-to-end simulations have been shown to reproduce very well the relative gain calibration of detectors, as well as drifts within a frequency induced by the residuals of the main systematic effect (analogue-to-digital convertor non-linearity residuals). Using these simulations, we have been able to measure and correct the small frequency calibration bias induced by this systematic effect at the 10-4 level. There is no detectable sign of a residual calibration bias between the first and second acoustic peaks in the CMB channels, at the 10-3 level.« less

Authors:
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Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
Contributing Org.:
Planck Collaboration
OSTI Identifier:
1713250
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Astronomy and Astrophysics
Additional Journal Information:
Journal Volume: 641; Journal ID: ISSN 0004-6361
Publisher:
EDP Sciences
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; Cosmology: observations; cosmic background radiation; surveys; methods: data analysis

Citation Formats

Aghanim, N, Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, JP, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Boulanger, F, Bucher, M, Burigana, C, Calabrese, E, Cardoso, JF, Carron, J, Challinor, A, Chiang, HC, Colombo, LPL, Combet, C, Couchot, F, Crill, BP, Cuttaia, F, De Bernardis, P, De Rosa, A, De Zotti, G, Delabrouille, J, Delouis, JM, Di Valentino, E, Diego, JM, Doré, O, Douspis, M, Ducout, A, Dupac, X, Efstathiou, G, Elsner, F, Enßlin, TA, Eriksen, HK, Falgarone, E, Fantaye, Y, Finelli, F, Frailis, M, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Galli, S, Ganga, K, Génova-Santos, RT, Gerbino, M, Ghosh, T, González-Nuevo, J, Górski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Henrot-Versillé, S, Herranz, D, Hivon, E, Huang, Z, Jaffe, AH, Jones, WC, Karakci, A, Keihänen, E, Keskitalo, R, Kiiveri, K, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lagache, G, Lamarre, JM, Lasenby, A, Lattanzi, M, Lawrence, CR, Levrier, F, Liguori, M, Lilje, PB, Lindholm, V, López-Caniego, M, Ma, YZ, Maciás-Pérez, JF, Maggio, G, Maino, D, Mandolesi, N, Mangilli, A, Martin, PG, Martínez-González, E, Matarrese, S, and Mauri, N. Planck 2018 results: III. High frequency instrument data processing and frequency maps. United States: N. p., 2020. Web. doi:10.1051/0004-6361/201832909.
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Aghanim, N, Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, JP, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Boulanger, F, Bucher, M, Burigana, C, Calabrese, E, Cardoso, JF, Carron, J, Challinor, A, Chiang, HC, Colombo, LPL, Combet, C, Couchot, F, Crill, BP, Cuttaia, F, De Bernardis, P, De Rosa, A, De Zotti, G, Delabrouille, J, Delouis, JM, Di Valentino, E, Diego, JM, Doré, O, Douspis, M, Ducout, A, Dupac, X, Efstathiou, G, Elsner, F, Enßlin, TA, Eriksen, HK, Falgarone, E, Fantaye, Y, Finelli, F, Frailis, M, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Galli, S, Ganga, K, Génova-Santos, RT, Gerbino, M, Ghosh, T, González-Nuevo, J, Górski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Henrot-Versillé, S, Herranz, D, Hivon, E, Huang, Z, Jaffe, AH, Jones, WC, Karakci, A, Keihänen, E, Keskitalo, R, Kiiveri, K, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lagache, G, Lamarre, JM, Lasenby, A, Lattanzi, M, Lawrence, CR, Levrier, F, Liguori, M, Lilje, PB, Lindholm, V, López-Caniego, M, Ma, YZ, Maciás-Pérez, JF, Maggio, G, Maino, D, Mandolesi, N, Mangilli, A, Martin, PG, Martínez-González, E, Matarrese, S, & Mauri, N. Planck 2018 results: III. High frequency instrument data processing and frequency maps. United States. https://doi.org/10.1051/0004-6361/201832909
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Aghanim, N, Akrami, Y, Ashdown, M, Aumont, J, Baccigalupi, C, Ballardini, M, Banday, AJ, Barreiro, RB, Bartolo, N, Basak, S, Benabed, K, Bernard, JP, Bersanelli, M, Bielewicz, P, Bond, JR, Borrill, J, Bouchet, FR, Boulanger, F, Bucher, M, Burigana, C, Calabrese, E, Cardoso, JF, Carron, J, Challinor, A, Chiang, HC, Colombo, LPL, Combet, C, Couchot, F, Crill, BP, Cuttaia, F, De Bernardis, P, De Rosa, A, De Zotti, G, Delabrouille, J, Delouis, JM, Di Valentino, E, Diego, JM, Doré, O, Douspis, M, Ducout, A, Dupac, X, Efstathiou, G, Elsner, F, Enßlin, TA, Eriksen, HK, Falgarone, E, Fantaye, Y, Finelli, F, Frailis, M, Fraisse, AA, Franceschi, E, Frolov, A, Galeotta, S, Galli, S, Ganga, K, Génova-Santos, RT, Gerbino, M, Ghosh, T, González-Nuevo, J, Górski, KM, Gratton, S, Gruppuso, A, Gudmundsson, JE, Handley, W, Hansen, FK, Henrot-Versillé, S, Herranz, D, Hivon, E, Huang, Z, Jaffe, AH, Jones, WC, Karakci, A, Keihänen, E, Keskitalo, R, Kiiveri, K, Kim, J, Kisner, TS, Krachmalnicoff, N, Kunz, M, Kurki-Suonio, H, Lagache, G, Lamarre, JM, Lasenby, A, Lattanzi, M, Lawrence, CR, Levrier, F, Liguori, M, Lilje, PB, Lindholm, V, López-Caniego, M, Ma, YZ, Maciás-Pérez, JF, Maggio, G, Maino, D, Mandolesi, N, Mangilli, A, Martin, PG, Martínez-González, E, Matarrese, S, and Mauri, N. Fri . "Planck 2018 results: III. High frequency instrument data processing and frequency maps". United States. https://doi.org/10.1051/0004-6361/201832909. https://www.osti.gov/servlets/purl/1713250.
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@article{osti_1713250,
title = {Planck 2018 results: III. High frequency instrument data processing and frequency maps},
author = {Aghanim, N and Akrami, Y and Ashdown, M and Aumont, J and Baccigalupi, C and Ballardini, M and Banday, AJ and Barreiro, RB and Bartolo, N and Basak, S and Benabed, K and Bernard, JP and Bersanelli, M and Bielewicz, P and Bond, JR and Borrill, J and Bouchet, FR and Boulanger, F and Bucher, M and Burigana, C and Calabrese, E and Cardoso, JF and Carron, J and Challinor, A and Chiang, HC and Colombo, LPL and Combet, C and Couchot, F and Crill, BP and Cuttaia, F and De Bernardis, P and De Rosa, A and De Zotti, G and Delabrouille, J and Delouis, JM and Di Valentino, E and Diego, JM and Doré, O and Douspis, M and Ducout, A and Dupac, X and Efstathiou, G and Elsner, F and Enßlin, TA and Eriksen, HK and Falgarone, E and Fantaye, Y and Finelli, F and Frailis, M and Fraisse, AA and Franceschi, E and Frolov, A and Galeotta, S and Galli, S and Ganga, K and Génova-Santos, RT and Gerbino, M and Ghosh, T and González-Nuevo, J and Górski, KM and Gratton, S and Gruppuso, A and Gudmundsson, JE and Handley, W and Hansen, FK and Henrot-Versillé, S and Herranz, D and Hivon, E and Huang, Z and Jaffe, AH and Jones, WC and Karakci, A and Keihänen, E and Keskitalo, R and Kiiveri, K and Kim, J and Kisner, TS and Krachmalnicoff, N and Kunz, M and Kurki-Suonio, H and Lagache, G and Lamarre, JM and Lasenby, A and Lattanzi, M and Lawrence, CR and Levrier, F and Liguori, M and Lilje, PB and Lindholm, V and López-Caniego, M and Ma, YZ and Maciás-Pérez, JF and Maggio, G and Maino, D and Mandolesi, N and Mangilli, A and Martin, PG and Martínez-González, E and Matarrese, S and Mauri, N},
abstractNote = {This paper presents the High Frequency Instrument (HFI) data processing procedures for the Planck 2018 release. Major improvements in mapmaking have been achieved since the previous Planck 2015 release, many of which were used and described already in an intermediate paper dedicated to the Planck polarized data at low multipoles. These improvements enabled the first significant measurement of the reionization optical depth parameter using Planck-HFI data. This paper presents an extensive analysis of systematic effects, including the use of end-to-end simulations to facilitate their removal and characterize the residuals. The polarized data, which presented a number of known problems in the 2015 Planck release, are very significantly improved, especially the leakage from intensity to polarization. Calibration, based on the cosmic microwave background (CMB) dipole, is now extremely accurate and in the frequency range 100-353 GHz reduces intensity-to-polarization leakage caused by calibration mismatch. The Solar dipole direction has been determined in the three lowest HFI frequency channels to within one arc minute, and its amplitude has an absolute uncertainty smaller than 0.35 μK, an accuracy of order 10-4. This is a major legacy from the Planck HFI for future CMB experiments. The removal of bandpass leakage has been improved for the main high-frequency foregrounds by extracting the bandpass-mismatch coefficients for each detector as part of the mapmaking process; these values in turn improve the intensity maps. This is a major change in the philosophy of "frequency maps", which are now computed from single detector data, all adjusted to the same average bandpass response for the main foregrounds. End-to-end simulations have been shown to reproduce very well the relative gain calibration of detectors, as well as drifts within a frequency induced by the residuals of the main systematic effect (analogue-to-digital convertor non-linearity residuals). Using these simulations, we have been able to measure and correct the small frequency calibration bias induced by this systematic effect at the 10-4 level. There is no detectable sign of a residual calibration bias between the first and second acoustic peaks in the CMB channels, at the 10-3 level.},
doi = {10.1051/0004-6361/201832909},
journal = {Astronomy and Astrophysics},
number = ,
volume = 641,
place = {United States},
year = {Fri Sep 11 00:00:00 EDT 2020},
month = {Fri Sep 11 00:00:00 EDT 2020}
}
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