3 papers
astro-ph.GA2026
Modeling the JWST MIRI Counts, Insights Into the Source Properties and Role of Dust-Obscured AGN
Edgar P. Vidal, Anna Sajina, Amber R. Banks +8
Understanding the co-evolution of galaxies and active galactic nuclei (AGN) requires accurate modeling of dust-obscured systems. Recent surveys using the Mid Infrared Instrument (M…
astro-ph.GA2026
AGNBoost: A Machine Learning Approach to AGN Identification with JWST/NIRCam+MIRI Colors and Photometry
Kurt Hamblin, Allison Kirkpatrick, Bren E. Backhaus +18
We present AGNBoost, a machine learning framework utilizing XGBoostLSS to identify AGN and estimate redshifts from JWST NIRCam and MIRI photometry. AGNBoost constructs 66 input fea…
astro-ph.IM2025
Hierarchical Simulation-Based Inference of Supernova Power Sources and their Physical Properties
Edgar P. Vidal, Alexander T. Gagliano, Carolina Cuesta-Lazaro
Time domain surveys such as the Vera C. Rubin Observatory are projected to annually discover millions of astronomical transients. This and complementary programs demand fast, autom…