$\textit{"Super-deblended"}$ Dust Emission in Galaxies: I. the GOODS-North Catalog and the Cosmic Star Formation Rate Density out to Redshift 6

Daizhong Liu, Emanuele Daddi, Mark Dickinson, Frazer Owen, Maurilio Pannella, Mark Sargent, Matthieu Béthermin, Georgios Magdis, Yu Gao, Xinwen Shu, Tao Wang, Shuowen Jin, Hanae Inami

Published 2017-03-15Version 1

We present a new technique to obtain multi-wavelength $\textit{"super-deblended"}$ photometry in highly confused images, that we apply here in the GOODS-North field to Herschel and (sub-)millimeter data sets. The key novelties of the method are two: first, starting from a common large prior database of deep 24 $\mu$m and VLA 20 cm detections, an $\textit{active}$ selection of $\textit{useful}$ fitting priors is performed independently at each frequency band and moving from less to more confused bands. Exploiting knowledge of redshift and all available photometry for each source up to the dataset under exam, we identify $\textit{hopelessly faint}$ priors that we remove from the fitting pool. This approach critically reduces blending degeneracies and allows reliable photometry of galaxies in FIR+mm bands. Second, we obtain well-behaved $\textit{quasi-Gaussian}$ flux uncertainties, individually tailored to all fitted priors in each band. This is done exploiting extensive simulations calibrating the conversion of formal fitting uncertainties onto real uncertainties, depending on quantities directly measurable in the observations. Our catalog achieves deeper detection limits with high fidelity measurements and uncertainties at far-infrared to millimeter bands. We identify 71 $z \ge 3$ galaxies with reliable FIR+mm detection and study their location in stellar mass--star formation rate diagrams. We present new constraints on the cosmic star formation rate density at $3 < z < 6$ finding significant contribution from $z \ge 3$ dusty galaxies that are missed by optical to near-infrared color selections. The photometric catalog is released publicly (upon acceptance of the paper).