Semi-Recurrent Neural Networks In IllustrisTNG And N-Body Simulations
Harry George Chittenden, Tojeiro, Rita, Behera, Jayashree · Zenodo (CERN European Organization for Nuclear Research) · 2025
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.