Efficient Deep Learning Emulator for Modeling Galaxy Intrinsic Alignment Correlations
A deep learning model is developed to efficiently emulate galaxy intrinsic alignment correlation functions and their uncertainties from halo occupation distribution-based mock galaxy catalogs.
