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Aims. To investigate the performance of a deconvolution map-making algorithmfor an experiment with a circular scanning strategy, specifically in this casefor the analysis of Planck data, and to quantify the effects of making mapsusing simplified approximations to the true beams. Methods. We present animplementation of a map-making algorithm which allows the combined treatment oftemperature and polarisation data, and removal of instrumental effects, such asdetector time constants and finite sampling intervals, as well as thedeconvolution of arbitrarily complex beams from the maps. This method may beapplied to any experiment with a circular scanning-strategy. Results.Low-resolution experiments were used to demonstrate the ability of this methodto remove the effects of arbitrary beams from the maps and to demonstrate theeffects on the maps of ignoring beam asymmetries. Additionally, results arepresented of an analysis of a realistic full-scale simulated data-set for thePlanck LFI 30 GHz channel. Conclusions. Our method successfully removes theeffects of the beams from the maps, and although it is computationallyexpensive, the analysis of the Planck LFI data should be feasible with thisapproach.

A deconvolution map-making method for experiments with circular scanning strategies