Kieran Broadbelt | Searcharxiv

arXiv2026

Extended Structure in E+A Galaxies Via Image Stacking

Small-scale interactions such as minor mergers, flybys and harassment are considered common driving mechanisms that can both initiate and quench star-forming processes within post-starburst (PSB) galaxies. PSBs have been linked to disturbed morphologies and faint tidal features in numerous works. We aim to independently study these features in E+A galaxies found in the Galaxy and Mass Assembly Fourth Data Release (GAMA DR4). Using image stacking techniques, we derive the averaged radial surface brightness profiles of E+A image stacks alongside the Sérsic parameters that best fit these profiles. These E+A stacks consist of 57 images extracted from the Sloan Digital Sky Survey (SDSS) in g, r & i bands. The E+A stacks are shown to have brighter extended regions than similar non-PSB galaxies, which is indicative of faint tidal features that could be caused by small-scale interactions. Additionally, we make use of Dark Energy Spectroscopic Instrument (DESI) Legacy Survey imaging, which is deeper than SDSS, to further support our conclusions and find that the Legacy Survey images independently strengthen the evidence for excess light at extended radii relative to the comparison samples. We discuss these findings in the context of future surveys such as the Vera C. Rubin Legacy Survey of Space and Time (LSST) survey.

astro-ph.GA↗

arXiv2025

Identification of Anomalous E+A Galaxies in GAMA Using an Isolation Forest

We implement an outlier detection model, an Isolation Foest (iForest), to uncover anomalous objects in the Galaxy and Mass Assembly Fourth Data Release (GAMA DR4). The iForest algorithm is an unsupervise Machine Learning (ML) technique. The data used is the spectroscopic and photometric data from GAMA DR4, which compiless information for over 300000 objects. We select two samples of galaxies to isolate, high signal-to-noise galaxies, to analyse the iForest's robustness, and E+A galaxies, to study the extremes of their population. This results in six-subsamples of spectroscopic, photometric and combined data isolations, finding 101 anomalous objects, half of which have not been identified as outliers in other works. We also find a number of fringing errors and false emission lines, displaying the iForest's potential in detecting these errors. Finding anomalous E+A galaxies, that although selected in a normal manner, using low [OII] and strong Hδ absorption, are still star-forming, with strong Hα emission. We propose two solutions to why these E+A galaxies are still star-forming but also question if these galaxies can be truly classified as E+A galaxies. We suggest that small-scale interactions on the galaxies causes small star bursts. The radiative pressure when forming high mass stars form expels the accreting material quicker than it can be accreted. We also suggest that the Jeans limit in our anomalous E+A galaxies is so low that it is simply not possible to form O and B class stars, but not low enough to fully prevent star-formation.

astro-ph.GA↗