We utilise multi-wavelength imaging to estimate the low-redshift stellar and baryonic mass functions. We require robust photometry to accurately measure each galaxy's spectral energy distribution, and HI flux estimates for sources in our sample. We created a bespoke program optimised for measuring robust photometry: the Lambda Adaptive Multi-Band Deblending Algorithm in R (LAMBDAR). We also use wide-field radio surveys to perform optically motivated HI measurements for all galaxies within the volume. These stellar mass and cold gas estimates are used to provide a revised estimate of the baryonic density of the Universe from the Galaxy and Mass Assembly (GAMA) Survey low-z sample.
|Qualification||Doctor of Philosophy|
|Award date||9 Jun 2017|
|Publication status||Unpublished - 2017|