High Redshift Dust Obscured Galaxies, A Morphology-SED Connection Revealed by Keck Adaptive Optics
J. Melbourne (Caltech), S. Bussman (Arizona), K. Brand, V. Desai, (Spitzer), L. Armus (Spitzer), Arjun Dey (NOAO), B. T. Jannuzi (NOAO), J. R., Houck (Cornell), K. Matthews (Caltech), B. T. Soifer (Caltech, Spitzer)

TL;DR
This study uses high-resolution Keck AO imaging to explore the morphology and SED connection in dust-obscured galaxies at z~2, revealing diverse structures and a correlation between concentration and mid-IR luminosity.
Contribution
It provides the first detailed morphological analysis of DOGs using AO imaging, linking their optical structures with IR luminosity and SED characteristics.
Findings
Most DOGs are small disks or ellipticals, with some unresolved.
Higher IR luminosity correlates with higher concentration and possible AGN activity.
Evidence of ongoing mergers in some DOGs.
Abstract
A simple optical to mid-IR color selection, R-[24] > 14, i.e. f_nu(24) / f_nu(R) > 1000, identifies highly dust obscured galaxies (DOGs) with typical redshifts of z~2 +/- 0.5. Extreme mid-IR luminosities (L_{IR} > 10^{12-14}) suggest that DOGs are powered by a combination of AGN and star formation, possibly driven by mergers. In an effort to compare their photometric properties with their rest frame optical morphologies, we obtained high spatial resolution (0.05 -0.1") Keck Adaptive Optics (AO) K'-band images of 15 DOGs. The images reveal a wide range of morphologies, including: small exponential disks (8 of 15), small ellipticals (4 of 15), and unresolved sources (2 of 15). One particularly diffuse source could not be classified because of low signal to noise ratio. We find a statistically significant correlation between galaxy concentration and mid-IR luminosity, with the most…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
