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We present a new scheme, $\it{galtag}$, for refining the photometric redshiftmeasurements of faint galaxies by probabilistically tagging them to observedgalaxy groups constructed from a brighter, magnitude-limited spectroscopysurvey. First, this method is tested on the DESI light-cone data constructed onthe GALFORM galaxy formation model to tests its validity. We then apply it tothe photometric observations of galaxies in the Kilo-Degree Imaging Survey(KiDS) over a 1 deg$^2$ region centred at 15$^\mathrm{h}$. This region containsGalaxy and Mass Assembly (GAMA) deep spectroscopic observations (i-band<22) andan accompanying group catalogue to r-band<19.8. We demonstrate that even withsome trade-off in sample size, an order of magnitude improvement on theaccuracy of photometric redshifts is achievable when using $\it{galtag}$. Thisapproach provides both refined photometric redshift measurements and grouprichness enhancement. In combination these products will hugely improve thescientific potential of both photometric and spectroscopic datasets. The$\it{galtag}$ software will be made publicly available athttps://github.com/pkaf/galtag.git.

Galaxy Tagging: photometric redshift refinement and group richness enhancement