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Planck 2013 results. II. Low Frequency Instrument data processing

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 â‰-20 dB level using Jupiter transits, which are also used for the geometrical calibration of the focal plane. © 2014 ESO.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Astronomy & Astrophysics, 2014, 571, A2

Editorial: EDP Sciences

 Fecha de publicación: 01/11/2014

Nº de páginas: 25

Tipo de publicación: Artículo de Revista

 DOI: 10.1051/0004-6361/201321550

ISSN: 0004-6361,1432-0746

Url de la publicación: http://www.aanda.org/articles/aa/abs/2014/11/aa21550-13/aa21550-13.html

Autoría

LAURA BONAVERA

ANDRES CURTO MARTIN

JOAQUIN GONZALEZ-NUEVO GONZALEZ

MARCOS LOPEZ-CANIEGO ALCARRIA

LUIGI TOFFOLATTI