Abstract

We propose a new method of pushing HerschelHerschel to its faintest detection limits using universal trends in the redshift evolution of the far infrared over 24μμm colours in the well-sampled GOODS-North field. An extension to other fields with less multi-wavelength information is presented. This method is applied here to raise the contribution of individually detected HerschelHerschel sources to the cosmic infrared background (CIRB) by a factor 5 close to its peak at 250μμm and more than 3 in the 350μμm and 500μμm bands. We produce realistic mock HerschelHerschel images of the deep PACS and SPIRE images of the GOODS-North field from the GOODS-HerschelHerschel Key Program and use them to quantify the confusion noise at the position of individual sources, i.e., estimate a "local confusion noise". Two methods are used to identify sources with reliable photometric accuracy extracted using 24μμm prior positions. The clean index (CI), previously defined but validated here with simulations, which measures the presence of bright 24μμm neighbours and the photometric accuracy index (PAI) directly extracted from the mock HerschelHerschel images. After correction for completeness, thanks to our mock HerschelHerschel images, individually detected sources make up as much as 54% and 60% of the CIRB in the PACS bands down to 1.1 mJy at 100μμm and 2.2 mJy at 160μμm and 55, 33, and 13% of the CIRB in the SPIRE bands down to 2.5, 5, and 9 mJy at 250μμm, 350μμm, and 500μμm, respectively. The latter depths improve the detection limits of HerschelHerschel by factors of 5 at 250μμm, and 3 at 350μμm and 500μμm as compared to the standard confusion limit. Interestingly, the dominant contributors to the CIRB in all HerschelHerschel bands appear to be distant siblings of the Milky Way (zz∼\sim0.96 for λλ<<300μμm) with a stellar mass of M⋆M_{\star}∼\sim9×\times1010^{10}M⊙_{\odot}.

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