2 papers
astro-ph.IM2026
Deep Learning for Astrophysics: An Open Textbook from the NASA Cosmic Origins AI/ML Science and Technology Interest Group
Yuan-Sen Ting, Digvijay Wadekar, Phill Cargile +21
Recent community assessments identify education as a principal barrier to adopting modern machine learning in astronomy. We present Deep Learning for Astrophysics, a freely availab…
astro-ph.GA2026
A High Resolution Search for Dual AGN Candidates in Mergers: A Pre-Selection Strategy using Keck AO
Camilo Vazquez, S. Satyapal, G. Canalizo +20
Accreting supermassive black holes (SMBHs) in galaxy mergers with separations 1 kpc are crucial to our understanding of SMBH growth, galaxy evolution, and SMBH binary evolution…