Galaxy And Mass Assembly (GAMA): Structural Investigation of Galaxies via Model Analysis (SIGMA)
Lee S. Kelvin, Simon P. Driver, Aaron S. G. Robotham, David T. Hill,, Mehmet Alpaslan, Ivan K. Baldry, Steven P. Bamford, Joss Bland-Hawthorn,, Sarah Brough, Alister W. Graham, Boris H\"aussler, Andrew M. Hopkins, Jochen, Liske, Jon Loveday, Peder Norberg, Steven Phillipps

TL;DR
This study introduces SIGMA, an automated tool for detailed 2D galaxy modeling across multiple wavelengths, revealing insights into galaxy structure, dust effects, and stellar populations in a large galaxy sample.
Contribution
We developed SIGMA, an automated pipeline for multi-band galaxy modeling, enabling large-scale structural analysis and improved photometry for over 138,000 galaxies in GAMA.
Findings
Sersic magnitudes agree with SDSS and GAMA photometry for low n
High n systems show up to 0.5 mag brighter in r band
ETGs and LTGs exhibit wavelength-dependent structural changes
Abstract
We present single-S\'ersic two-dimensional model fits to 167,600 galaxies modelled independently in the ugrizYJHK bandpasses using reprocessed Sloan Digital Sky Survey Data Release Seven (SDSS DR7) and UKIRT Infrared Deep Sky Survey Large Area Survey (UKIDSS-LAS) imaging data available from the GAMA database. In order to facilitate this study we developed SIGMA, an R wrapper around several contemporary astronomy software packages including Source Extractor, PSF Extractor and GALFIT 3. SIGMA produces realistic 2D model fits to galaxies, employing automatic adaptive background subtraction and empirical PSF measurements on the fly for each galaxy in GAMA. Using these results, we define a common coverage area across the three GAMA regions containing 138,269 galaxies. We provide S\'ersic magnitudes truncated at 10 re which show good agreement with SDSS Petrosian and GAMA photometry for low…
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