2022MNRAS.514.4465M


Query : 2022MNRAS.514.4465M

2022MNRAS.514.4465M - Mon. Not. R. Astron. Soc., 514, 4465-4488 (2022/August-2)

A geostatistical analysis of multiscale metallicity variations in galaxies - II. Predicting the metallicities of H II and diffuse ionized gas regions via universal kriging.

METHA B., TRENTI M., CHU T. and BATTISTI A.

Abstract (from CDS):

The metallicity of diffuse ionized gas (DIG) cannot be determined using strong emission line diagnostics, which are calibrated to calculate the metallicity of H II regions. Because of this, resolved metallicity maps from integral field spectroscopy (IFS) data remain largely incomplete. In this paper (the second of a series), we introduce the geostatistical technique of universal kriging, which allows the complete 2D metallicity distribution of a galaxy to be reconstructed from metallicities measured at H II regions, accounting for spatial correlations between nearby data points. We apply this method to construct high-fidelity metallicity maps of the local spiral galaxy NGC 5236 using data from the TYPHOON/PrISM survey. We find significant correlation in the metallicity of H II regions separated by up to 0.4-1.2 kpc. Predictions constructed using this method were tested using cross-validation in H II regions, and we show that they outperform significantly interpolation based on metallicity gradients. Furthermore, we apply kriging to predict the metallicities in regions dominated by DIG emission, considering seven additional spiral galaxies with high resolution (<=100 pc) metallicity maps. We compare kriging maps to DIG metallicities computed with novel ionization corrections, and find that such corrections introduce a systematic offset of up to ±0.1 dex for any individual galaxy, with a scatter of 0.02-0.07 dex for the sample. Overall we recommend universal kriging, together with a calibrated geostatistical model, as the superior method for inferring the metallicities of DIG-dominated regions in local spiral galaxies, demonstrating further the potential of applying geostatistical methods to spatially resolved galaxy observations.

Abstract Copyright: © 2022 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society

Journal keyword(s): methods: statistical - ISM: abundances - galaxies: abundances - galaxies: ISM

Simbad objects: 11

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Number of rows : 11
N Identifier Otype ICRS (J2000)
RA
ICRS (J2000)
DEC
Mag U Mag B Mag V Mag R Mag I Sp type #ref
1850 - 2026
#notes
1 NAME SMC G 00 52 38.0 -72 48 01   2.79 2.2     ~ 12317 1
2 M 74 G 01 36 41.7451236624 +15 47 01.107512304 10.52 10.00 9.46 9.16   ~ 1934 1
3 M 77 Sy2 02 42 40.7091669408 -00 00 47.859690204 9.70 9.61 8.87 10.1 9.9 ~ 4897 2
4 NGC 1365 Sy1 03 33 36.458 -36 08 26.37 10.48 10.08 9.63 8.79 9.7 ~ 1987 2
5 NGC 1566 Sy1 04 20 00.3968473248 -54 56 16.624708764 10.29 10.19 9.73 9.21 10.1 ~ 1051 2
6 NAME LMC G 05 23 34.6 -69 45 22     0.4     ~ 19090 0
7 NGC 2835 EmG 09 17 52.8523921416 -22 21 16.839119700   11.03   10.32 10.9 ~ 285 0
8 NGC 2997 GiG 09 45 38.7542237472 -31 11 27.345810192   9.97 9.41 8.84 9.9 ~ 454 1
9 NGC 5068 AG? 13 18 54.807 -21 02 20.76 11.24 10.53 10.01 9.78 10.1 ~ 354 0
10 M 83 SBG 13 37 00.91920 -29 51 56.7400 8.85 8.11 7.52 7.21   ~ 2778 2
11 NGC 7793 GiG 23 57 49.7540045856 -32 35 27.701550744 10.26 9.74 9.28 9.06 9.7 ~ 1188 2

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