Bibcode
Planck Collaboration; Ade, P. A. R.; Aghanim, N.; Ashdown, M.; Aumont, J.; Baccigalupi, C.; Banday, A. J.; Barreiro, R. B.; Bartolo, N.; Battaner, E.; Benabed, K.; Benoît, A.; Benoit-Lévy, A.; Bernard, J.-P.; Bersanelli, M.; Bielewicz, P.; Bonaldi, A.; Bonavera, L.; Bond, J. R.; Borrill, J.; Bouchet, F. R.; Bucher, M.; Burigana, C.; Butler, R. C.; Calabrese, E.; Cardoso, J.-F.; Catalano, A.; Chamballu, A.; Chary, R.-R.; Christensen, P. R.; Colombi, S.; Colombo, L. P. L.; Crill, B. P.; Curto, A.; Cuttaia, F.; Danese, L.; Davies, R. D.; Davis, R. J.; de Bernardis, P.; de Rosa, A.; de Zotti, G.; Delabrouille, J.; Dickinson, C.; Diego, J. M.; Dole, H.; Donzelli, S.; Doré, O.; Douspis, M.; Ducout, A.; Dupac, X.; Efstathiou, G.; Elsner, F.; Enßlin, T. A.; Eriksen, H. K.; Fergusson, J.; Finelli, F.; Forni, O.; Frailis, M.; Franceschi, E.; Frejsel, A.; Galeotta, S.; Galli, S.; Ganga, K.; Giard, M.; Giraud-Héraud, Y.; Gjerløw, E.; González-Nuevo, J.; Górski, K. M.; Gratton, S.; Gregorio, A.; Gruppuso, A.; Hansen, F. K.; Hanson, D.; Harrison, D. L.; Henrot-Versillé, S.; Herranz, D.; Hildebrandt, S. R.; Hivon, E.; Hobson, M.; Holmes, W. A.; Hornstrup, A.; Hovest, W.; Huffenberger, K. M.; Hurier, G.; Jaffe, A. H.; Jaffe, T. R.; Juvela, M.; Keihänen, E.; Keskitalo, R.; Kiiveri, K.; Kisner, T. S.; Knoche, J.; Kunz, M.; Kurki-Suonio, H.; Lähteenmäki, A.; Lamarre, J.-M.; Lasenby, A.; Lattanzi, M.; Lawrence, C. R.; Leahy, J. P. et al.
Referencia bibliográfica
Astronomy and Astrophysics, Volume 594, id.A6, 23 pp.
Fecha de publicación:
9
2016
Revista
Número de citas
72
Número de citas referidas
68
Descripción
This paper describes the mapmaking procedure applied to Planck Low
Frequency Instrument (LFI) data. The mapmaking step takes as input the
calibrated timelines and pointing information. The main products are sky
maps of I, Q, and U Stokes components. For the first time, we present
polarization maps at LFI frequencies. The mapmaking algorithm is based
on a destriping technique, which is enhanced with a noise prior. The
Galactic region is masked to reduce errors arising from bandpass
mismatch and high signal gradients. We apply horn-uniform radiometer
weights to reduce the effects of beam-shape mismatch. The algorithm is
the same as used for the 2013 release, apart from small changes in
parameter settings. We validate the procedure through simulations.
Special emphasis is put on the control of systematics, which is
particularly important for accurate polarization analysis. We also
produce low-resolution versions of the maps and corresponding noise
covariance matrices. These serve as input in later analysis steps and
parameter estimation. The noise covariance matrices are validated
through noise Monte Carlo simulations. The residual noise in the map
products is characterized through analysis of half-ring maps, noise
covariance matrices, and simulations.