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dc.contributor.author
Pérez Montero, E.  
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Dors, Oli L.  
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Vílchez, J. M.  
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García Benito, Rubén  
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Cardaci, Monica Viviana  
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Hägele, Guillermo Federico  
dc.date.available
2021-02-10T02:19:16Z  
dc.date.issued
2019-08-23  
dc.identifier.citation
Pérez Montero, E.; Dors, Oli L.; Vílchez, J. M.; García Benito, Rubén; Cardaci, Monica Viviana; et al.; A Bayesian-like approach to derive chemical abundances in type-2 active galactic nuclei based on photoionization models; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 489; 2; 23-8-2019; 2652-2668  
dc.identifier.issn
0035-8711  
dc.identifier.uri
http://hdl.handle.net/11336/125245  
dc.description.abstract
We present a new methodology for the analysis of the emission lines of the interstellar medium in the narrow-line regions around type-2 active galactic nuclei. Our aim is to provide a recipe that can be used for large samples of objects in a consistent way using different sets of optical emission lines that takes into the account possible variations from the O/H-N/O relation to use [NII] lines. Our approach consists of a bayesian-like comparison between certain observed emission-line ratios sensitive to total oxygen abundance, nitrogen-to-oxygen ratio, and ionization parameter with the predictions from a large grid of photoionization models calculated under the most usual conditions in this environment. We applied our method to a sample of Seyfert 2 galaxies with optical emission-line fluxes and determinations of their chemical properties from detailed models in the literature. Our results agree within the errors with other results and confirm the high metallicity of the objects of the sample, with N/O values consistent with a large secondary production of N, but with a large dispersion. The obtained ionization parameters for this sample are much larger than those for star-forming object at the same metallicity.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
GALAXIES: ABUNDANCES; GALAXIES: ACTIVE; GALAXIES: SEYFERT  
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ISM: ABUNDANCES  
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METHODS: DATA ANALYSIS  
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Astronomía  
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Ciencias Físicas  
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CIENCIAS NATURALES Y EXACTAS  
dc.title
A Bayesian-like approach to derive chemical abundances in type-2 active galactic nuclei based on photoionization models  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-11-19T21:57:46Z  
dc.journal.volume
489  
dc.journal.number
2  
dc.journal.pagination
2652-2668  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Pérez Montero, E.. Instituto de Astrofísica de Andalucía; España. Consejo Superior de Investigaciones Científicas; España  
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Fil: Dors, Oli L.. Universidade do Vale do Paraíba; Brasil  
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Fil: Vílchez, J. M.. Instituto de Astrofísica de Andalucía; España. Consejo Superior de Investigaciones Científicas; España  
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Fil: García Benito, Rubén. Instituto de Astrofísica de Andalucía; España. Consejo Superior de Investigaciones Científicas; España  
dc.description.fil
Fil: Cardaci, Monica Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina  
dc.description.fil
Fil: Hägele, Guillermo Federico. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Astrofísica La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Astronómicas y Geofísicas. Instituto de Astrofísica La Plata; Argentina  
dc.journal.title
Monthly Notices of the Royal Astronomical Society  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/489/2/2652/5553995  
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info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/mnras/stz2278  
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info:eu-repo/semantics/altIdentifier/url/https://arxiv.org/abs/1908.04827