Planck 2013 results. VIII. HFI photometric calibration and mapmaking
Planck Collaboration: P. A. R. Ade, 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\^it, A., Benoit-L\'evy, J.-P. Bernard, M. Bersanelli, B. Bertincourt

TL;DR
This paper details the calibration and mapmaking process for the Planck 2013 HFI data, achieving high-precision photometric maps across a broad frequency range by employing multiple calibration schemes and correcting for gain variations.
Contribution
It introduces a comprehensive calibration pipeline for HFI data, including methods to correct gain variations and estimate calibration uncertainties, enhancing the accuracy of the resulting sky maps.
Findings
Calibration uncertainties range from a few 10^-3 to several percent.
Effective correction methods for gain variations were developed and validated.
The resulting maps have well-characterized photometric accuracy.
Abstract
This paper describes the processing applied to the HFI cleaned time-ordered data to produce photometrically calibrated maps. HFI observes the sky over a broad range of frequencies, from 100 to 857 GHz. To get the best accuracy on the calibration on such a large range, two different photometric calibration schemes have to be used. The 545 and 857 \GHz\ data are calibrated using Uranus and Neptune flux density measurements, compared with models of their atmospheric emissions to calibrate the data. The lower frequencies (below 353 GHz) are calibrated using the cosmological microwave background dipole.One of the components of this anisotropy results from the orbital motion of the satellite in the Solar System, and is therefore time-variable. Photometric calibration is thus tightly linked to mapmaking, which also addresses low frequency noise removal. The 2013 released HFI data show some…
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