Chengyu Shao

Data-driven modeling of Galactic diffuse emission with multi-wavelength observations

Abstract We present a data-driven investigation of Galactic diffuse emission. Using multi-frequency Planck maps (30–857 GHz), we construct a non-linear mapping between microwave-to-far-infrared and gamma-ray intensity through supervised machine learning. Our models achieve high p...