KiDS-1000 cosmology: machine learning - accelerated constraints on interacting dark energy with CosmoPower (2022)

First Author: Spurio Mancini A
Attributed to:  Exploring the Universe with radio and optical galaxy surveys funded by FLF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/mnrasl/slac019

Publication URI: http://dx.doi.org/10.1093/mnrasl/slac019

Type: Journal Article/Review

Parent Publication: Monthly Notices of the Royal Astronomical Society: Letters

Issue: 1