Rest-frame UV and optical emission line diagnostics of ionized gas properties: A test case in a star-forming knot of a lensed galaxy at z ∼ 1.7

Ayan Acharyya*, Lisa J. Kewley, Jane R. Rigby, Matthew Bayliss, Fuyan Bian, David Nicholls, Christoph Federrath, Melanie Kaasinen, Michael Florian, Guillermo A. Blanc

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    10 Citations (Scopus)

    Abstract

    We examine the diagnostic power of rest-frame ultraviolet (UV) nebular emission lines, and compare them to more commonly used rest-frame optical emission lines, using the test case of a single star-forming knot of the bright lensed galaxy RCSGA 032727-132609 at redshift z ∼ 1.7. This galaxy has complete coverage of all the major rest-frame UV and optical emission lines from Magellan/MagE and Keck/NIRSPEC. Using the full suite of diagnostic lines, we infer the physical properties: nebular electron temperature (Te), electron density (ne), oxygen abundance (log (O/H), ionization parameter [log (q), and interstellar medium (ISM) pressure (log (P/k)]. We examine the effectiveness of the different UV, optical, and joint UV-optical spectra in constraining the physical conditions. Using UV lines alone we can reliably estimate log (q), but the same is difficult for log (O/H). UV lines yield a higher (∼1.5 dex) log (P/k) than the optical lines, as the former probes a further inner nebular region than the latter. For this comparison, we extend the existing Bayesian inference code IZI, adding to it the capability to infer ISM pressure simultaneously with metallicity and ionization parameter. This work anticipates future rest-frame UV spectral data sets from the James Webb Space Telescope (JWST) at high redshift and from the Extremely Large Telescope (ELT) at moderate redshift.

    Original languageEnglish
    Pages (from-to)5862-5886
    Number of pages25
    JournalMonthly Notices of the Royal Astronomical Society
    Volume488
    Issue number4
    DOIs
    Publication statusPublished - 1 Oct 2019

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