The Astrophysical Journal Letters (Jan 2023)

The Chocolate Chip Cookie Model: Dust-to-metal Ratio of H ii Regions

  • Jiafeng Lu,
  • Shiyin Shen,
  • Fang-Ting Yuan,
  • Qi Zeng

DOI
https://doi.org/10.3847/2041-8213/acc4b7
Journal volume & issue
Vol. 946, no. 1
p. L7

Abstract

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Using a sample of face-on star-forming galaxies selected from the Sloan Digital Sky Survey, we statistically derive the typical optical depth τ _cl of individual H ii regions based on the “Chocolate Chip Cookie” model of Lu et al. (2022). By binning galaxies into stellar mass and gas-phase metallicity bins and interpreting τ _cl as the dust-to-gas ratio (DGR) of H ii regions, we further investigate the correlations between DGR and stellar mass and between DGR and gas-phase metallicity, respectively. We find that DGR increases monotonically with the stellar mass of galaxies. At a given stellar mass, DGR shows a linear correlation with the gas-phase metallicity, which implies a constant dust-to-metal ratio (DTM) of galaxies at a given stellar mass. These results adequately indicate that the DTM of galaxies is simply a function of their stellar masses. In terms of gas-phase metallicity, because of the mass–metallicity relation, DTM increases with increasing metallicity with a power-law index 1.45 in the low-metallicity region, while it remains constant at the high-metallicity end.

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