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We investigate the effect of the "high-pass filter" data reduction techniqueon the Herschel PACS PSF and noise of the PACS maps at the 70, 100 and 160 umbands and in medium and fast scan speeds. This branch of the PACS Photometerpipeline is the most used for cosmological observations and for point-sourceobservations.The calibration of the flux loss due to the median removal appliedby the PACS pipeline (high-pass filter) is done via dedicated simulationsobtained by "polluting" real PACS timelines with fake sources at different fluxlevels. The effect of the data reduction parameter settings on the final mapnoise is done by using selected observations of blank fields with high dataredundancy. We show that the running median removal can cause significant fluxlosses at any flux level. We analyse the advantages and disadvantages ofseveral masking strategies and suggest that a mask based on putting circularpatches on prior positions is the best solution to reduce the amount of fluxloss. We provide a calibration of the point-source flux loss for severalmasking strategies in a large range of data reduction parameters, and as afunction of the source flux. We also show that, for stacking analysis, theimpact of the high-pass filtering effect is to reduce significantly theclustering effect. The analysis of the global noise and noise components of thePACS maps shows that the dominant parameter in determining the final noise isthe high-pass filter width. We also provide simple fitting functions to buildthe error map from the coverage map and to estimate the cross-correlationcorrection factor in a representative portion of the data reduction parameterspace.

The effect of the high-pass filter data reduction technique on the Herschel PACS Photometer PSF and noise