O/H-N/O: the curious case of NGC 4670

TL;DR

This study uses integral field spectroscopy to map physical properties of ionized gas in NGC 4670, revealing spatial variations in chemical abundances and a surprising negative correlation between N/O ratio and metallicity.

Contribution

It provides the first spatially-resolved analysis of N/O and O/H in NGC 4670, exploring the relationship between these ratios and star formation processes.

Findings

N/O ratio increases where Wolf-Rayet features are detected

Negative correlation between N/O and metallicity observed

Spatial variations in helium abundance and star formation indicators

Abstract

We use integral field spectroscopic (IFS) observations from Gemini North Multi-Object Spectrograph (GMOS-N) of a group of four H II regions and the surrounding gas in the central region of the blue compact dwarf (BCD) galaxy NGC 4670. At spatial scales of $\sim$ 9 pc, we map the spatial distribution of a variety of physical properties of the ionised gas: internal dust attenuation, kinematics, stellar age, star-formation rate, emission line ratios and chemical abundances. The region of study is found to be photoionised. Using the robust direct T$_e$-method, we estimate metallicity, nitrogen-to-oxygen ratio and helium abundance of the four H II regions. The same parameters are also mapped for the entire region using the HII-CHI-mistry code. We find that log(N/O) is increased in the region where the Wolf-Rayet bump is detected.The region coincides with the continuum region, around which we detect a slight increase in He abundance. We estimate the number of WC4, WN2-4 and WN7-9 stars from the integrated spectrum of WR bump region. We study the relation between log(N/O) and 12 + log(O/H) using the spatially-resolved data of the FOV as well as the integrated data of the H II regions from ten BCDs. We find an unexpected negative trend between N/O and metallicity. Several scenarios are explored to explain this trend, including nitrogen enrichment, and variations in star formation efficiency via chemical evolution models.