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Field-level Neural Network Emulator for Cosmological N-body Simulations
Abstract We build a field-level emulator for cosmic structure formation that is accurate in the nonlinear regime. Our emulator consists of two convolutional neural networks trained to output the nonlinear displacements and velocities of N -body simulation particles based on their linear inputs. Cosmology dependence is encoded in the form …