Photoionization models of CALIFA HII regions. Genetic method

TL;DR

This paper discusses modeling CALIFA HII regions using photoionization models, initially with ad-hoc methods and later with a genetic algorithm for multi-dimensional fitting.

Contribution

It introduces a genetic algorithm approach for fitting photoionization models to HII region observations, advancing beyond traditional ad-hoc methods.

Findings

Initial ad-hoc models achieved preliminary fits.

Genetic algorithm approach promises improved multi-dimensional fitting.

Future work will refine models with this new method.

Abstract

I present recent and forthcoming works to model the CALIFA HII region using photoionization models. The first results are obtained with ad-hoc models (combining parameter determination by model fitting and strong line methods) while the next ones will use a Genetic Algorithm to fit the observations in a multi-dimensional space.