A novel approach to correcting $T_e$-based mass-metallicity relations
Alex J. Cameron, Harley Katz, and Martin P. Rey

TL;DR
This paper identifies biases in the $T_e$-method for measuring metallicity in galaxies caused by temperature fluctuations and proposes a calibration using simulations to correct these biases, improving metallicity estimates.
Contribution
It introduces a calibration between ratio temperature and line temperature based on high-resolution simulations to correct $T_e$-based metallicity biases in low-mass galaxies.
Findings
Corrects the metallicity bias, increasing the mass-metallicity relation normalization by 0.18 dex.
Flattens the slope of the mass-metallicity relation from 0.87 to 0.58.
Demonstrates the importance of accounting for temperature fluctuations in metallicity measurements.
Abstract
Deriving oxygen abundances from the electron temperature (hereafter the -method) is the gold-standard for extragalactic metallicity studies. However, unresolved temperature fluctuations within individual HII regions and across different HII regions throughout a galaxy can bias metallicity estimates low, with a magnitude that depends on the underlying and typically unknown temperature distribution. Using a toy model, we confirm that computing -based metallicities using the temperature derived from the [O III] 4363/5007 or [O II] 7320,7330 / [O II] 3727 ratio ('ratio temperature'; ) results in an underprediction of metallicity when temperature fluctuations are present. In contrast, using the unobservable 'line temperatures' () that provide the mean electron and ion density-weighted emissivity yield an…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Stellar, planetary, and galactic studies · Astronomy and Astrophysical Research
