The Two-Dimensional Metallicity Distribution and Mixing Scales of Nearby Galaxies
Thomas G. Williams, Kathryn Kreckel, Francesco Belfiore, Brent Groves,, Karin Sandstrom, Francesco Santoro, Guillermo A. Blanc, Frank Bigiel,, M\'ed\'eric Boquien, M\'elanie Chevance, Enrico Congiu, Eric Emsellem, Simon, C. O. Glover, Kathryn Grasha, Ralf S. Klessen, Eric Koch

TL;DR
This study maps the two-dimensional metallicity distribution in 19 nearby galaxies using Gaussian Process Regression, revealing insights into chemical mixing scales and their relation to galaxy properties, challenging existing turbulence models.
Contribution
It introduces a novel application of GPR to map metallicity distributions and analyzes their correlation scales across different galaxy types and properties.
Findings
12 of 19 galaxies show significant metallicity variation
Correlation scale is smaller than GPR kernel scale length
No link between correlation scale and gas turbulence
Abstract
Understanding the spatial distribution of metals within galaxies allows us to study the processes of chemical enrichment and mixing in the interstellar medium (ISM). In this work, we map the two-dimensional distribution of metals using a Gaussian Process Regression (GPR) for 19 star-forming galaxies observed with the Very Large Telescope/Multi Unit Spectroscopic Explorer (VLT-MUSE) as part of the PHANGS-MUSE survey. We find that 12 of our 19 galaxies show significant two-dimensional metallicity variation. Those without significant variations typically have fewer metallicity measurements, indicating this is due to the dearth of HII regions in these galaxies, rather than a lack of higher-order variation. After subtracting a linear radial gradient, we see no enrichment in the spiral arms versus the disc. We measure the 50 per cent correlation scale from the two-point correlation function…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Spectroscopy and Chemometric Analyses · Advanced Statistical Methods and Models
