Description
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.
| Date made available | 4 Jun 2025 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Article
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Evaluating the galaxy formation histories predicted by a neural network in pure dark matter simulations
Chittenden, H. G., Behera, J. & Tojeiro, R., 1 Aug 2025, In: Monthly Notices of the Royal Astronomical Society. 541, 2, p. 1682-1705 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Modelling the galaxy-halo connection with semi-recurrent neural networks
Chittenden, H. G. (Creator), GitHub, 2025
https://github.com/hgc4/TNG-Networks/
Dataset: Software