Semi-Recurrent Neural Networks In IllustrisTNG And N-Body Simulations

This is the official data repository for the MNRAS publication Modelling the galaxy-halo connection using semi-recurrent neural networks, and subsequent works Optimised neural network predictions of galaxy formation histories using semi-stochastic corrections and Evaluating the galaxy formation histories predicted by a neural network in pure dark matter simulations. For details on access and utilisation of the data and code, see documentation.pdf in the affiliated GitHub repository.

Related Organizations

University of St Andrews
United Kingdom
Kansas State University
United States
Swinburne University of Technology
Australia
Space Telescope Science Institute
United States

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