Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning
This paper presents an end-to-end deep learning pipeline that extends the AutoSourceID method to Cherenkov Telescope Array Observatory (CTAO) simulated data, offering a versatile framework for the detection, localization, and characterization of gamma-ray sources as a step toward a foundational model for astrophysical source detection.