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astro-ph.GA2025

Toward Complete Merger Identification at Cosmic Noon with Deep Learning

Aimee Schechter, Aleksandra Ciprijanovic, Rebecca Nevin +4

As we enter the era of large imaging surveys such as , Rubin, and , a deeper understanding of potential biases and selection effects in optical ast…

astro-ph.GA20251 cited

Beyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at

Aimee L. Schechter, Aleksandra Ćiprijanović, Xuejian Shen +5

Galaxy mergers play an important role in galaxy evolution. Therefore, accurate merger identifications are paramount for achieving a complete understanding of how galaxies evolve. A…

astro-ph.GA2025

Enhanced Star Formation and Black Hole Accretion Rates in Galaxy Mergers in IllustrisTNG50

Aimee L. Schechter, Shy Genel, Bryan Terrazas +6

Many theoretical and observational studies have suggested that galaxy mergers may trigger enhanced star formation or active galactic nuclei (AGN) activity. We present an analysis o…

astro-ph.GA2023

"Beads on a String" Star Formation Tied to one of the most Powerful AGN Outbursts Observed in a Cool Core Galaxy Cluster

Osase Omoruyi, Grant R. Tremblay, Francoise Combes +19

With two central galaxies engaged in a major merger and a remarkable chain of 19 young stellar superclusters wound around them in projection, the galaxy cluster SDSS J1531+3414 ($z…

astro-ph.GA202332 cited

The First Quiescent Galaxies in TNG300

Abigail I. Hartley, Erica J. Nelson, Katherine A. Suess +12

We identify the first quiescent galaxies in TNG300, the largest volume of the IllustrisTNG cosmological simulation suite, and explore their quenching processes and time evolution t…