Comparison of map-making algorithms for CMB experiments

We have compared cosmic microwave background (CMB) maps made from one-year time ordered data (TOD) streams that simulated observations of the originally planned 100 GHz P Low Frequency Instrument (LFI). The maps were made with the ROMA, MapCUMBA and destriping algorithms. We produced angular power spectrum estimates from the ROMA and destriping maps and compared them as well. ROMA and MapCUMBA aim at finding an optimal minimum variance map. Destriping is an efficient map-making method but its accuracy is non-optimal. ROMA and MapCUMBA produce maps with lower noise than destriping. The difference between the ROMA and MapCUMBA maps was small. Lower noise leads to smaller error bars in the power spectrum estimation. If the signal bias of the map-making method is ignored a corresponding bias will be introduced in the power spectrum estimates due to map-making artefacts on the CMB contribution to the map. This study is related to P LFI activities.