BOND: Bayesian Oxygen and Nitrogen abundance Determinations in giant H II regions using strong and semi-strong lines
N. Vale Asari (1), G. Stasi\'nska (2), C. Morisset (3), R. Cid, Fernandes (1) ((1) UFSC, Brazil, (2) LUTH, Observatoire de Paris, France, (3), UNAM, Mexico)

TL;DR
BOND is a Bayesian tool that accurately determines oxygen and nitrogen abundances in giant H II regions by analyzing emission lines with a comprehensive photoionization model grid, accounting for various nebular and stellar parameters.
Contribution
It introduces a novel Bayesian approach that simultaneously derives O/H and N/O without assuming their relation, incorporating semi-strong lines and starburst age variations.
Findings
N/O vs O/H relation shows similar scatter to temperature-based methods.
O/H values tend to be higher than temperature-based estimates, suggesting model or physical effects.
Using semi-strong lines improves metallicity diagnostics.
Abstract
We present BOND, a Bayesian code to simultaneously derive oxygen and nitrogen abundances in giant H II regions. It compares observed emission lines to a grid of photoionization models without assuming any relation between O/H and N/O. Our grid spans a wide range in O/H, N/O and ionization parameter U, and covers different starburst ages and nebular geometries. Varying starburst ages accounts for variations in the ionizing radiation field hardness, which arise due to the ageing of H II regions or the stochastic sampling of the initial mass function. All previous approaches assume a strict relation between the ionizing field and metallicity. The other novelty is extracting information on the nebular physics from semi-strong emission lines. While strong lines ratios alone ([O III]/Hbeta, [O II]/Hbeta and [N II]/Hbeta) lead to multiple O/H solutions, the simultaneous use of [Ar III]/[Ne…
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