Jonathan C Betts
Machine learning and structure formation in modified gravity
Betts, Jonathan C; van de Bruck, Carsten; Arnold, Christian; Li, Baojiu
Citation
Betts, J. C., van de Bruck, C., Arnold, C., & Li, B. (2023). Machine learning and structure formation in modified gravity. Monthly Notices of the Royal Astronomical Society, 526(3), 4148–4156. https://doi.org/10.1093/mnras/stad2915
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 20, 2023 |
Online Publication Date | Sep 29, 2023 |
Publication Date | 2023-12 |
Deposit Date | Feb 1, 2024 |
Publicly Available Date | Feb 1, 2024 |
Journal | Monthly Notices of the Royal Astronomical Society |
Print ISSN | 0035-8711 |
Electronic ISSN | 1365-2966 |
Publisher | Royal Astronomical Society |
Peer Reviewed | Peer Reviewed |
Volume | 526 |
Issue | 3 |
Pages | 4148–4156 |
DOI | https://doi.org/10.1093/mnras/stad2915 |
Public URL | https://durham-repository.worktribe.com/output/2189465 |
Files
Published Journal Article
(1.3 Mb)
PDF
You might also like
MGLENS: Modified gravity weak lensing simulations for emulation-based cosmological inference
(2023)
Journal Article
Fingerprints of modified gravity on galaxies in voids
(2022)
Journal Article
Fast full N-body simulations of generic modified gravity: derivative coupling models
(2022)
Journal Article
Making use of sub-resolution haloes in N-body simulations
(2021)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search