3 papers
astro-ph.GA2026
Beyond the Brightest: A Deep Learning Approach to Identifying Major and Minor Galaxy Mergers in CANDELS at
Aimee L. Schechter, Aleksandra ÄiprijanoviÄ, 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.CO2026
Halo assembly bias in the early Universe: a clustering probe of the origin of the Little Red Dots
Zihao Wang, Fangzhou Jiang, Haonan Zheng +5
The clustering of galaxies encodes key information about the structure and assembly history of their host dark matter (DM) haloes, providing a powerful probe of the origin of extre…
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…