Skip to main navigation Skip to search Skip to main content

A complete framework for cosmological emulation and inference with CosmoPower

  • H. T. Jense
  • , I. Harrison
  • , E. Calabrese
  • , A. Spurio Mancini
  • , B. Bolliet
  • , J. Dunkley
  • , J. C. Hill

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article numberrzaf002
Number of pages23
JournalRAS Techniques and Instruments
Volume4
Early online date11 Jan 2025
DOIs
Publication statusPublished - 2025

Keywords

  • Cosmic background radiation
  • large-scale structure of the universe
  • Machine learning
  • Methods: statistical
  • Software

Cite this