Machine learning methods to estimate observational properties of galaxy clusters in large volume cosmological N -body simulations (2023)
Attributed to:
Astronomy and Astrophysics at Edinburgh
funded by
STFC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1093/mnras/stac3009
Publication URI: http://dx.doi.org/10.1093/mnras/stac3009
Type: Journal Article/Review
Parent Publication: Monthly Notices of the Royal Astronomical Society
Issue: 1