"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 B\'ethermin, Georgios Magdis, Yu Gao, Xinwen, Shu, Tao Wang, Shuowen Jin, Hanae Inami

TL;DR
This paper introduces a novel 'Super-deblended' photometry technique for FIR and (sub-)mm data, enabling more accurate galaxy measurements and new insights into star formation at high redshift.
Contribution
The paper presents a new method for reducing blending in FIR/submm photometry, improving detection limits and uncertainties, and providing a large catalog for studying high-redshift star formation.
Findings
Identified 70 galaxies with z>3 and reliable FIR+mm detections.
Provided new constraints on cosmic star formation rate density at 3<z<6.
Released a catalog with over 1000 FIR+mm detections.
Abstract
We present a new technique to measure multi-wavelength "Super-deblended" photometry from highly confused images, which we apply to Herschel and ground-based far-infrared (FIR) and (sub-)millimeter (mm) data in the northern field of the Great Observatories Origins Deep Survey (GOODS). There are two key novelties. First, starting with a large database of deep Spitzer 24{\mu}m and VLA 20cm detections that are used to define prior positions for fitting the FIR/submm data, we perform an active selection of useful priors independently at each frequency band, moving from less to more confused bands. Exploiting knowledge of redshift and all available photometry, we identify hopelessly faint priors that we remove from the fitting pool. This approach significantly reduces blending degeneracies and allows reliable photometry to be obtained for galaxies in FIR+mm bands. Second, we obtain…
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