Abstract
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.
Original language | English |
---|---|
Qualification | Doctor of Philosophy |
Awarding Institution |
|
Award date | 9 Jun 2017 |
DOIs | |
Publication status | Unpublished - 2017 |