Research output per year
Research output per year
Description
This is the official data repository for the MNRAS publication Modelling the galaxy-halo connection using semi-recurrent neural networks. For details on access and utilisation of the data and code, see documentation.pdf in the affiliated GitHub repository (https://github.com/hgc4/TNG-Networks)
| Date made available | 2022 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Article
-
Modelling the galaxy-halo connection with semi-recurrent neural networks
Chittenden, H. G. & Tojeiro, R., 1 Feb 2023, In: Monthly Notices of the Royal Astronomical Society. 518, 4, p. 5670–5692 23 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 (code)
Chittenden, H. G. (Creator), GitHub, 2022
https://github.com/hgc4/TNG-Networks
Dataset: Software