Identifying the lens galaxy B 1152+199 as a ghostly damped Lyman α system by the cosmic origins spectrograph

Author:

Dai Xinyu1ORCID,Bhatiani Saloni1ORCID,Chen Bin2

Affiliation:

1. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman, OK 73019, USA

2. Research Computing Center , Department of Scientific Computing, Florida State University, Tallahassee, FL 32306, USA

Abstract

ABSTRACT Strong quasar-galaxy lensing provides a powerful tool to probe the interstellar medium (ISM) of the lens galaxy using radiation from the background quasar. Using the Cosmic Origins Spectrograph (COS) on board the Hubble Space Telescope, we study the cold ISM properties of the lens galaxy in B 1152+199 at a redshift of z = 0.4377. Since existing optical extinction and X-ray absorption measurements of the lens have revealed a large amount of cold ISM, we expected to detect a damped Ly α absorption (DLA) system in the near ultraviolet spectrum; however, our upper limit on the H i column density is several orders of magnitude below the expectation. We also marginally detect O i and C ii absorption lines associated with the lens galaxy in the COS spectrum. Thus, the lens galaxy is identified as a ghostly DLA system, and further investigations of these ghostly DLA systems would be important to characterize the biases of using DLAs to probe the matter density of the universe. Although preliminary, the most likely explanation of the non-detection of the DLA is because of the Ly α emission of the lens galaxy that fills in the absorption trough, with a Ly α luminosity of $4\times 10^{42}\, \hbox{erg~s$^{-1}$}$.

Funder

National Aeronautics and Space Administration

Space Telescope Science Institute

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Role of the companion lensing galaxy in the CLASS gravitational lens B1152+199;Monthly Notices of the Royal Astronomical Society;2022-01-13

2. Using Machine Learning to Find Ghostly Damped Lyα Systems in the SDSS DR14;The Astrophysical Journal;2020-09-29

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