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We present an iterative scheme designed to recover calibrated I, Q, and Umaps from Planck-HFI data using the orbital dipole due to the satellite motionwith respect to the Solar System frame. It combines a map reconstruction, basedon a destriping technique, juxtaposed with an absolute calibration algorithm.We evaluate systematic and statistical uncertainties incurred during both thesesteps with the help of realistic, Planck-like simulations containing CMB,foreground components and instrumental noise, and assess the accuracy of thesky map reconstruction by considering the maps of the residuals and theirspectra. In particular, we discuss destriping residuals for polarizationsensitive detectors similar to those of Planck-HFI under different noisehypotheses and show that these residuals are negligible (for intensity maps) orsmaller than the white noise level (for Q and U Stokes maps), for l > 50. Wealso demonstrate that the combined level of residuals of this scheme remainscomparable to those of the destriping-only case except at very low l whereresiduals from the calibration appear. For all the considered noise hypotheses,the relative calibration precision is on the order of a few 10e-4, with asystematic bias of the same order of magnitude.

Iterative destriping and photometric calibration for Planck-HFI, polarized, multi-detector map-making