A newly discovered DLA and associated Ly-alpha emission in the spectra of the gravitationally lensed quasar UM 673A,B
Ryan Cooke (1), Max Pettini (1,2), Charles C. Steidel (3), Lindsay J., King (1), Gwen C. Rudie (3), Olivera Rakic (4) ((1) Institute of Astronomy,, University of Cambridge, (2) International Centre for Radio Astronomy, Research, University of Western Australia

TL;DR
This study reports the discovery of a low-redshift DLA and associated Ly-alpha emission in a gravitationally lensed quasar, revealing insights into DLA sizes, metallicity, and star formation activity.
Contribution
The paper presents the first detection of a DLA at z=1.62650 in UM 673A,B and refines the typical DLA size to about 5 kpc, based on high-resolution spectra and comparison with other quasar pairs.
Findings
DLA size estimated at ~5 kpc, smaller than previously thought
Detected Ly-alpha emission indicating star formation rate > 0.2 solar masses per year
DLA is metal-poor with unusual chemical abundance patterns
Abstract
The sightline to the brighter member of the gravitationally lensed quasar pair UM 673A,B intersects a damped Lyman-alpha system (DLA) at z = 1.62650 which, because of its low redshift, has not been recognised before. Our high quality echelle spectra of the pair, obtained with HIRES on the Keck I telescope, show a drop in neutral hydrogen column density N(H I) by a factor of at least 400 between UM 673A and B, indicating that the DLA's extent in this direction is much less than the 2.7 kpc separation between the two sightlines at z = 1.62650. By reassessing this new case together with published data on other quasar pairs, we conclude that the typical size (radius) of DLAs at these redshifts is R ~ (5 +/- 3) kpc, smaller than previously realised. Highly ionized gas associated with the DLA is more extended, as we find only small differences in the C IV absorption profiles between the two…
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.
