@inproceedings{2022eas..conf..474P,
 abstract = {Future and on-going infrared and radio observatories such as JWST, METIS
or ALMA will increase the amount of rest-frame IR spectroscopic
data for galaxies by several orders of magnitude. While studies
of the chemical composition of the ISM based on optical
observations have been widely spread over decades for SFG and,
more recently, for AGN, similar studies need to be perform using
IR data which are less affected by temperature and dust
extinction, trace high ionic species and provide robust
estimations of the chemical abundance ratio N/O.
\\We present a new tool based on a
bayesian-like methodology (HII-CHI-Mistry-IR) to estimate
chemical abundances from IR emission lines in AGN. We use a
sample of 58 AGN with IR spectroscopic data retrieved from the
literature to probe the validity of our method. IR estimations
of chemical abundances in our sample composed by 43 Seyferts, 8
ULIRGs, 4 LIRGs and 3 LINERs are compared with those derived
from optical emission lines. HII-CHI-Mistry-IR takes advantage
of photoionization models to match a set of input emission lines
with the best model characterized by the chemical abundance
ratios O/H and N/O and the ionization parameter U. Instead of
matching single emission lines, the code calculates sensitive
ratios to the above free parameters.
\\We report solar and subsolar
abundances for O/H in the nuclear region for our sample of AGN,
whereas N/O clusters around solar values. Compared to their
optical estimations, there is a systematic discrepancy between
IR and optical estimations of chemical abundances, being the
later higher than the former. This result, consistent with
previous studies of the composition of the ISM from IR
observations, is independent from the density or the incident
radiation field to the ISM.},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System},
 adsurl = {https://ui.adsabs.harvard.edu/abs/2022eas..conf..474P},
 author = {Pérez-dı́az, Borja and Pérez-Montero, Enrique and Fernández-Ont\v́eros, Juan Antonio and V\'ćhez, José Manuel},
 booktitle = {EAS2022, European Astronomical Society Annual Meeting},
 eid = {474},
 month = {July},
 pages = {474},
 title = {Measuring chemical abundances in AGN from infrared nebular lines: HII-CHI-Mistry-IR for AGN},
 year = {2022}
}