Galaxy and Mass Assembly (GAMA): FUV, NUV, ugrizYJHK Petrosian, Kron and S\`ersic photometry
David T. Hill, Lee S. Kelvin, Simon P. Driver, Aaron S. G. Robotham,, Ewan Cameron, Nicholas Cross, Ellen Andrae, Ivan K. Baldry, Steven P., Bamford, Joss Bland-Hawthorn, Sarah Brough, Christopher J. Conselice, Simon, Dye, Andrew M. Hopkins, Jochen Liske, Jon Loveday

TL;DR
This paper develops a standardized photometric pipeline for the GAMA survey, comparing different methods and quantifying their impact on galaxy luminosity functions and total luminosity density estimates.
Contribution
It introduces a self-consistent photometry approach for GAMA data, analyzing the effects of various aperture choices on galaxy luminosity functions and luminosity density.
Findings
Changing detection thresholds has minor impact on Schechter parameters.
Kron or Petrosian photometry introduces dataset offsets.
Aperture choice affects the characteristic magnitude M* by 0.20mag.
Abstract
In order to generate credible 0.1-2 {\mu}m SEDs, the GAMA project requires many Gigabytes of imaging data from a number of instruments to be re-processed into a standard format. In this paper we discuss the software infrastructure we use, and create self-consistent ugrizYJHK photometry for all sources within the GAMA sample. Using UKIDSS and SDSS archive data, we outline the pre-processing necessary to standardise all images to a common zeropoint, the steps taken to correct for seeing bias across the dataset, and the creation of Gigapixel-scale mosaics of the three 4x12 deg GAMA regions in each filter. From these mosaics, we extract source catalogues for the GAMA regions using elliptical Kron and Petrosian matched apertures. We also calculate S\'ersic magnitudes for all galaxies within the GAMA sample using SIGMA, a galaxy component modelling wrapper for GALFIT 3. We compare the…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Scientific Research and Discoveries
