Conversions between gas-phase metallicities in MaNGA

TL;DR

This paper provides polynomial conversions between 11 different gas-phase metallicity calibrations using a large MaNGA dataset, enabling consistent metallicity measurements across various methods and data resolutions.

Contribution

It introduces 5th order polynomial conversion formulas for 110 calibration pairs based on over 1.1 million spaxels, covering different dust correction types and validating their robustness.

Findings

Conversions have a typical 0.1 dex scatter.

Reduced scatter for calibrations with similar emission lines.

Conversions are robust across different spatial resolutions and data types.

Abstract

We present polynomial conversions between each of 11 different strong line gas-phase metallicity calibrations, each based on $\sim$ 1.1 million star-forming spaxels in the public Sloan Digital Sky Survey (SDSS) Data Release 15 (DR15) Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey. For this sample, which is $\sim$ 20 times larger than previous works, we present 5th order polynomial fits for each of 110 possible calibration conversions, for both Small Magellanic Cloud (SMC)-type and Milky Way (MW)-type dust corrections. The typical $2\sigma$ scatter around our polynomial fits is 0.1 dex; we present the range over which the metallicities are valid. Conversions between metallicities which rely on the same set of line ratios, or a heavily shared set of emission lines, have reduced scatter in their conversions relative to those conversions with little overlap in required emission lines. Calibration conversions with less consistent sets of emission lines also have increased galaxy-to-galaxy variability, and this variability can account for up to 35% of the total scatter. We also compare our conversions to previous work with the single fibre SDSS DR7 spectra along with higher spatial resolution data from the TYPHOON Integral Field Spectroscopy survey, resulting in comparison samples with spatial resolutions from several kpc down to $\sim$100 pc. Our metallicity conversions, obtained with the large sample of MaNGA, are robust against the influence of diffuse ionized gas, redshift, effective radius and spatial blurring, and are therefore consistent across both integrated spectra and the high resolution integral field spectroscopy data.