Data di Pubblicazione:
2014
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.
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.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
cosmic background radiation; methods: data analysis; cosmology: observations; surveys
Elenco autori:
P., Collaboration; N., Aghanim; C., Armitage Caplan; M., Arnaud; M., Ashdown; F., Atrio Barandela; J., Aumont; C., Baccigalupi; A. J., Banday; R. B., Barreiro; E., Battaner; K., Benabed; A., Beno�t; A., Benoit L�vy; J., Bernard; M., Bersanelli; P., Bielewicz; J., Bobin; J. J., Bock; A., Bonaldi; L., Bonavera; J. R., Bond; J., Borrill; F. R., Bouchet; M., Bridges; M., Bucher; C., Burigana; R. C., Butler; B., Cappellini; J., Cardoso; A., Catalano; A., Chamballu; X., Chen; L., Chiang; P. R., Christensen; S., Church; S., Colombi; L. P., L.; B. P., Crill; M., Cruz; A., Curto; F., Cuttaia; L., Danese; R. D., Davies; R. J., Davis; P. d., Bernardis; A. d., Rosa; G. d., Zotti; J., Delabrouille; C., Dickinson; J. M., Diego; H., Dole; S., Donzelli; O., Dor�; M., Douspis; X., Dupac; G., Efstathiou; T. A., En�lin; H. K., Eriksen; M. C., Falvella; F., Finelli; O., Forni; M., Frailis; E., Franceschi; T. C., Gaier; S., Galeotta; K., Ganga; M., Giard; G., Giardino; Y., Giraud H�raud; E., Gjerl�w; J., Gonz�lez Nuevo; K. M., G�rski; S., Gratton; A., Gregorio; A., Gruppuso; F. K., Hansen; D., Hanson; D., Harrison; S., Henrot Versill�; C., Hern�ndez Monteagudo; D., Herranz; S. R., Hildebrandt; E., Hivon; M., Hobson; W. A., Holmes; A., Hornstrup; W., Hovest; K. M., Huffenberger; A. H., Jaffe; T. R., Jaffe; J., Jewell; W. C., Jones; M., Juvela; P., Kangaslahti; E., Keih�nen; R., Keskitalo; K., Kiiveri; T. S., Kisner; J., Knoche; L., Knox; M., Kunz; H., Kurki Suonio; G., Lagache; A., L�hteenm�ki; J., Lamarre; A., Lasenby; M., Lattanzi; R. J., Laureijs; C. R., Lawrence; S., Leach; J. P., Leahy; R., Leonardi; J., Lesgourgues; M., Liguori; P. B., Lilje; M., Linden V�rnle; V., Lindholm; M., L�pez Caniego; P. M., Lubin; J. F., Mac�as P�rez; G., Maggio; D., Maino; N., Mandolesi; M., Maris; D. J., Marshall; P. G., Martin; E., Mart�nez Gonz�lez; S., Masi; M., Massardi; S., Matarrese; F., Matthai; P., Mazzotta; P. R., Meinhold; A., Melchiorri; L., Mendes; A., Mennella; M., Migliaccio; S., Mitra; A., Moneti; L., Montier; G., Morgante; N., Morisset; D., Mortlock; A., Moss; D., Munshi; P., Naselsky; P., Natoli; C. B., Netterfield; H. U., N�rgaard Nielsen; D., Novikov; I., Novikov; I. J., O'Dwyer; S., Osborne; F., Paci; L., Pagano; R., Paladini; D., Paoletti; B., Partridge; F., Pasian; G., Patanchon; M., Peel; O., Perdereau; L., Perotto; F., Perrotta; E., Pierpaoli; D., Pietrobon; S., Plaszczynski; P., Platania; E., Pointecouteau; G., Polenta; N., Ponthieu; L., Popa; T., Poutanen; G. W., Pratt; G., Pr�zeau; S., Prunet; J., Puget; J. P., Rachen; W. T., Reach; R., Rebolo; M., Reinecke; M., Remazeilles; S., Ricciardi; T., Riller; G., Robbers; G., Rocha; C., Rosset; M., Rossetti; G., Roudier; Mart�n, J. A. Rubi�o.; B., Rusholme; E., Salerno; M., Sandri; D., Santos; D., Scott; M. D., Seiffert; E. P., S.; L. D., Spencer; J., Starck; V., Stolyarov; R., Stompor; F., Sureau; D., Sutton; A., Suur Uski; J., Sygnet; J. A., Tauber; D., Tavagnacco; Terenzi, Luca; L., Toffolatti; M., Tomasi; M., Tristram; M., Tucci; J., Tuovinen; M., T�rler; G., Umana; L., Valenziano; J., Valiviita; B. V., Tent; J., Varis; P., Vielva; F., Villa; N., Vittorio; L. A., Wade; B. D., Wandelt; R., Watson; I. K., Wehus; S. D., M.; A., Wilkinson; D., Yvon; A., Zacchei; A., Zonca
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