Looking ahead to the sky with the Square Kilometre Array: simulating flux densities & resolved radio morphologies of $0<z<2.5$ star-forming galaxies

TL;DR

This study simulates SKA-MID radio images of distant star-forming galaxies to evaluate the survey's ability to recover galaxy properties and morphology at various depths, informing future galaxy evolution research.

Contribution

It introduces a detailed simulation framework for SKA-MID observations, assessing the recovery of galaxy morphological parameters across different survey depths.

Findings

Gini and asymmetry are more sensitive to survey depth than other parameters.

R50 best retains its ranking after simulation, aiding morphological studies.

Ultradeep surveys enable analysis of lower SFR galaxies.

Abstract

SKA-MID surveys will be the first in the radio domain to achieve clearly sub-arcsecond resolution at high sensitivity over large areas, opening new science applications for galaxy evolution. To investigate the potential of these surveys, we create simulated SKA-MID images of a $\sim$0.04 deg$^{2}$ region of GOODS-North, constructed using multi-band HST imaging of 1723 real galaxies containing significant substructure at $0<z<2.5$. We create images at the proposed depths of the band 2 wide, deep and ultradeep reference surveys (RMS = 1.0 $\mu$Jy, 0.2 $\mu$Jy and 0.05 $\mu$Jy over 1000 deg$^{2}$, 10-30 deg$^{2}$ and 1 deg$^{2}$ respectively), using the telescope response of SKA-MID at 0.6" resolution. We quantify the star-formation rate - stellar mass space the surveys will probe, and asses to which stellar masses they will be complete. We measure galaxy flux density, half-light radius ($R_{50}$), concentration, Gini (distribution of flux), second-order moment of the brightest pixels ($M_{20}$) and asymmetry before and after simulation with the SKA response, to perform input-output tests as a function of depth, separating the effects of convolution and noise. We find that the recovery of Gini and asymmetry is more dependent on survey depth than for $R_{50}$, concentration and $M_{20}$. We also assess the relative ranking of parameters before and after observation with SKA-MID. $R_{50}$ best retains its ranking, whilst asymmetries are poorly recovered. We confirm that the wide tier will be suited to the study of highly star-forming galaxies across different environments, whilst the ultradeep tier will enable detailed morphological analysis to lower SFRs.