Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps
Teaching Neural Networks to Generate Fast Sunyaev–Zel’dovich Maps
Abstract The thermal Sunyaev–Zel’dovich (tSZ) and the kinematic Sunyaev–Zel’dovich (kSZ) effects trace the distribution of electron pressure and momentum in the hot universe. These observables depend on rich multiscale physics, thus, simulated maps should ideally be based on calculations that capture baryonic feedback effects such as cooling, star formation, and …