Blue galaxies: modelling nebular He II emission in high redshift galaxies

TL;DR

This paper develops a cosmological simulation-based pipeline to model nebular He II emission in high-redshift galaxies, addressing discrepancies in observed emission line ratios without invoking exotic sources.

Contribution

It introduces a new modeling pipeline that reproduces high He II/Hβ ratios in low-metallicity galaxies without needing AGNs or X-ray binaries, improving understanding of nebular emission.

Findings

Pipeline can produce high He II/Hβ ratios without AGNs.

Ratios are more sensitive to star formation history gaps than to ionization parameters.

Provides a path for future nebular emission line modeling studies.

Abstract

Using cosmological simulations to make useful, scientifically relevant emission line predictions is a relatively new and rapidly evolving field. However, nebular emission lines have been particularly challenging to model because they are extremely sensitive to the local photoionization balance, which can be driven by a spatially dispersed distribution of stars amidst an inhomogeneous absorbing medium of dust and gas. As such, several unmodeled mysteries in observed emission line patterns exist in the literature. For example, there is some question as to why He II $\lambda 4686$/H$\beta$ ratios in observations of lower-metallicity dwarf galaxies tend to be higher than model predictions. Since hydrodynamic cosmological simulations are best suited to this mass and metallicity regime, this question presents a good test case for the development of a robust emission line modeling pipeline. The pipeline described in this work can model a process that produces high He II $\lambda 4686$/H$\beta$ ratios and eliminate some of the modeling discrepancy for ratios below 3% without including AGNs, X-ray binaries, high mass binaries, or a top-heavy stellar initial mass function. These ratios are found to be more sensitive to the presence of 15 Myr or longer gaps in the star formation histories than to extraordinary ionization parameters or specific star formation rates. This work also charts a path forward for the next generation of nebular emission line modeling studies.