Galaxy And Mass Assembly (GAMA): detection of low-surface-brightness galaxies from SDSS data
R. P. Williams, I. K. Baldry, L. S. Kelvin, P. A. James, S. P. Driver,, M. Prescott, S. Brough, M. J. I. Brown, L. J. M. Davies, B. W. Holwerda, J., Liske, P. Norberg, A. J. Moffett, A. H. Wright

TL;DR
This study developed a method to detect low-surface-brightness galaxies in SDSS data, identifying 343 candidates confirmed with VIKING imaging, contributing to understanding faint galaxy populations at low redshifts.
Contribution
The paper introduces a novel detection technique for LSBGs using SDSS data, combining image processing and grouping algorithms, and confirms candidates with VIKING imaging.
Findings
Identified 343 low-surface-brightness galaxy candidates.
Most galaxies are at redshifts less than 0.2.
Detected galaxies have surface brightnesses $ 25$ mag/arcsec$^2$.
Abstract
We report on a search for new low-surface-brightness galaxies (LSBGs) using Sloan Digital Sky Survey (SDSS) data within the GAMA equatorial fields. The search method consisted of masking objects detected with SDSS photo, combining gri images weighted to maximise the expected signal-to-noise ratio (SNR), and smoothing the images. The processed images were then run through a detection algorithm that finds all pixels above a set threshold and groups them based on their proximity to one another. The list of detections was cleaned of contaminants such as diffraction spikes and the faint wings of masked objects. From these, selecting potentially the brightest in terms of total flux, a list of 343 LSBGs was produced having been confirmed using VISTA Kilo-degree Infrared Galaxy Survey (VIKING) imaging. The photometry of this sample was refined using the deeper VIKING Z band as the…
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