Performance of morphological classifiers for galaxy mergers compared to current machine learning methods

arXiv:2607.09209 · astro-ph.GA · Submitted 2026-07-10 · Read on arXiv

astro-ph.GA

Submitted: 2026-07-10

Updated: 2026-09-18

Comments: 20 pages, 25 figures, 3 tables, 3 appendices, accepted for publicaiton in Astronomy & Astrophysics

Code: https://github.com/APCotter/Galaxy-phOtOmetry-with-DeblendedSegmentation-Image-Reconstruction

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• AGN — 49× in this paper · explained in 1 episode
• Robustness — 27× in this paper · explained in 5 episodes
• Accuracy — 26× in this paper · explained in 1 episode
• Trace — 10× in this paper · explained in 2 episodes
• Hyper Suprime-Cam — 4× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Markov Chain Monte-Carlo — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes

Sources

• The major merger-active galactic nucleus connection up to the cosmic noon

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