Skip to content
@Cosmo-Pop

Cosmo-Pop

Modelling the galaxy population to enable next gen cosmology
README.md

Cosmo-Pop

Welcome to the Cosmo-Pop GitHub org.! Our research focuses on developing generative models to understand galaxy formation and evolution, enabling precise cosmology. This includes developing the pop-cosmos generative model for the galaxy population. You can find out more about our research on our webpage, in our papers, or by exploring our GitHub repositories!

Quick Links

Research Highlights (arXiv Versions)

Static Badge Static Badge Static Badge Static Badge Static Badge Static Badge Static Badge Static Badge

Research Highlights (Journal Versions)

DOI DOI DOI DOI DOI DOI DOI

Data Products

DOI DOI

Related Software

Static Badge Static Badge Static Badge Static Badge

Our Team

Justin Alsing (@justinalsing), Sinan Deger (@sinandeger), Joy Gong (@joygong), Anik Halder (@anikhalder), Gurjeet Jagwani (@gurjeetjagwani), Boris Leistedt (@ixkael), Joel Leja (@jrleja), Daniel Mortlock, Hiranya Peiris (@hiranyapeiris), Stephen Thorp (@stevet40), Madalina Tudorache (@mnt16), & Benedict van den Bussche (@benedictbussche).

Pinned Loading

  1. pop-cosmos pop-cosmos Public

    Tools for working with the pop-cosmos galaxy population model

    Python 9 1

  2. flowfusion flowfusion Public

    Generative modelling using diffusion models and flow-matching

    Python 5

Repositories

Showing 5 of 5 repositories

Top languages

Loading…

Most used topics

Loading…