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The identification of AGN in large surveys has been hampered by seeminglydiscordant classifications arising from differing diagnostic methods, usuallytracing distinct processes specific to a particular wavelength regime. However,as shown in Yao et al. (2020), the combination of optical emission linemeasurements and mid-infrared photometry can be used to optimise thediscrimination capability between AGN and star formation activity. In thispaper we test our new classification scheme by combining the existing GAMA-WISEdata with high-quality MeerKAT radio continuum data covering 8 deg$^2$ of theGAMA G23 region. Using this sample of 1 841 galaxies (z < 0.25), we investigatethe total infrared (derived from 12$\mu$m) to radio luminosity ratio, q(TIR),and its relationship to optical-infrared AGN and star-forming (SF)classifications. We find that while q(TIR) is efficient at detecting AGNactivity in massive galaxies generally appearing quiescent in the infrared, itbecomes less reliable for cases where the emission from star formation in thehost galaxy is dominant. However, we find that the q(TIR) can identify up to 70% more AGNs not discernible at optical and/or infrared wavelengths. The medianq(TIR) of our SF sample is 2.57 $\pm$ 0.23 consistent with previous localuniverse estimates.

Connecting MeerKAT radio continuum properties to GAMA optical emission-line and WISE mid-infrared activity