Resolving the Radio Source Background: Deeper Understanding Through Confusion
J. J. Condon, W. D. Cotton, E. B. Fomalont, K. I. Kellermann, N., Miller, R. A. Perley, D. Scott, T. Vernstrom, and J. V. Wall

TL;DR
This study uses deep VLA imaging at 3 GHz to analyze the faint radio source population, resolving most of the background into discrete sources and confirming the evolution of AGNs and star-forming galaxies.
Contribution
It provides new constraints on faint radio source counts and background composition, demonstrating that most of the radio background is resolved and that AGN and star-forming galaxy evolution rates are similar.
Findings
96% of the radio background is resolved into discrete sources.
Most faint radio sources are star-forming galaxies and AGNs.
Confusion limits at 1.4 GHz are below 0.01 microJy, enabling deeper future surveys.
Abstract
We used the Karl G. Jansky Very Large Array (VLA) to image one primary beam area at 3 GHz with 8 arcsec FWHM resolution and 1.0 microJy/beam rms noise near the pointing center. The P(D) distribution from the central 10 arcmin of this confusion-limited image constrains the count of discrete sources in the 1 < S(microJy/beam) < 10 range. At this level the brightness-weighted differential count S^2 n(S) is converging rapidly, as predicted by evolutionary models in which the faintest radio sources are star-forming galaxies; and ~96$% of the background originating in galaxies has been resolved into discrete sources. About 63% of the radio background is produced by AGNs, and the remaining 37% comes from star-forming galaxies that obey the far-infrared (FIR) / radio correlation and account for most of the FIR background at lambda = 160 microns. Our new data confirm that radio sources powered…
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