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20212026
most citedConvolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG

83 citations · 323 across the 16 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

astro-ph.GA2024★ 20 cited

Galaxy evolution in the post-merger regime. III -- The triggering of active galactic nuclei peaks immediately after coalescence

Sara L. Ellison, Leonardo Ferreira, Robert Bickley +6

Galaxy mergers have been shown to trigger AGN in the nearby universe, but the timescale over which this process happens remains unconstrained. The Multi-Model Merger Identifier (MU…

astro-ph.GA2024

Galaxy evolution in the post-merger regime I -- Most merger-induced in-situ stellar mass growth happens post-coalescence

Leonardo Ferreira, Sara L. Ellison, David R. Patton +5

Galaxy mergers can enhance star formation rates throughout the merger sequence, with this effect peaking around the time of coalescence. However, owing to a lack of information abo…

astro-ph.GA2024★ 1 cited

The effect of image quality on galaxy merger identification with deep learning

Robert W. Bickley, Scott Wilkinson, Leonardo Ferreira +3

Studies have shown that the morphologies of galaxies are substantially transformed following coalescence after a merger, but post-mergers are notoriously difficult to identify, esp…

astro-ph.GA2024★ 1 cited

Galaxy Mergers in UNIONS -- I: A Simulation-driven Hybrid Deep Learning Ensemble for Pure Galaxy Merger Classification

Leonardo Ferreira, Robert W. Bickley, Sara L. Ellison +7

Merging and interactions can radically transform galaxies. However, identifying these events based solely on structure is challenging as the status of observed mergers is not easil…

astro-ph.GA2024★ 17 cited

Galaxy merger challenge: A comparison study between machine learning-based detection methods

B. Margalef-Bentabol, L. Wang, A. La Marca +14

Various galaxy merger detection methods have been applied to diverse datasets. However, it is difficult to understand how they compare. We aim to benchmark the relative performance…

astro-ph.GA2024

Interacting galaxies in the IllustrisTNG simulations -- VII: The connection between the most luminous active galactic nuclei and galaxy interactions

Shoshannah Byrne-Mamahit, David R. Patton, Sara L. Ellison +5

We investigate the connection between the most luminous active galactic nuclei (AGN), galaxy pairs, and post-mergers in the IllustrisTNG simulation. We select galaxy pairs and post…

astro-ph.GA2024

The limitations (and potential) of non-parametric morphology statistics for post-merger identification

Scott Wilkinson, Sara L. Ellison, Connor Bottrell +4

Non-parametric morphology statistics have been used for decades to classify galaxies into morphological types and identify mergers in an automated way. In this work, we assess how…

astro-ph.GA2024★ 2 cited

X-ray AGNs with SRG/eROSITA: Multi-wavelength observations reveal merger triggering and post-coalescence circumnuclear blowout

Robert W. Bickley, Sara L. Ellison, Mara Salvato +6

Major mergers between galaxies are predicted to fuel their central supermassive black holes (SMBHs), particularly after coalescence. However, determining the prevalence of active g…