HII-CHI-Mistry-UV for AGN. Abundances

DOI

We present an adapted version of the code HII-CHI-mistry-UV (Perez-Montero & Amorin, 2017MNRAS.467.1287P) to derive chemical abundances from emission lines in the ultraviolet, for use in narrow line regions (NLR) of Active Galactic Nuclei (AGN). We evaluate different ultraviolet emission line ratios and how different assumptions about the models, including the presence of dust grains, the shape of the incident spectral energy distribution, or the thickness of the gas envelope around the central source, may affect the final estimates as a function of the set of emission lines used. We compare our results with other published recipes for deriving abundances using the same emission lines and show that deriving the carbon-to-oxygen abundance ratio using CIII] {lambda}1909{AA} and OIII] {lambda}1665{AA} emission lines is a robust indicator of the metal content in AGN that is nearly independent of model assumptions, similar to the case of star-forming regions. Moreover, we show that a prior determination of C/O allows for a much more precise determination of the total oxygen abundance using carbon UV lines, as op- posed to assuming an arbitrary relationship between O/H and C/O, which can lead to non-negligible discrepancies.

Cone search capability for table J/MNRAS/521/1556/table2 (UV emission lines for the AGN and references)

Identifier
DOI http://doi.org/10.26093/cds/vizier.75211556
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/521/1556
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/521/1556
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/521/1556
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/521/1556
Provenance
Creator Perez-Montero E.; Amorin R.; Perez-Diaz B.; Garcia-Benito R.
Publisher CDS
Publication Year 2023
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Galactic and extragalactic Astronomy; High Energy Astrophysics; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics