4 papers
CLiENT: A new tool for emulating cosmological likelihoods using deep neural networks
Luca Janken, Steen Hannestad, Thomas Tram +1
Cosmological emulation of observables such as the Cosmic Microwave Background (CMB) spectra and matter power spectra have become increasingly common in recent years because of the…
Posterior sampling in the Age of Emulators
Andreas Nygaard, Luca Janken, Steen Hannestad +1
We investigate posterior sampling strategies for cosmological parameter inference using fully differentiable neural-network likelihood emulators, which provide both rapid likelihoo…
CosmoSlider: An educational tool for cosmology
Andreas Nygaard, Steen Hannestad, Thomas Tram
Understanding how cosmological parameters influence the cosmic microwave background (CMB) power spectra is a central component of modern cosmology education, but interactive explor…
Calculating Bayesian evidence for inflationary models using CONNECT
Camilla T. G. Sørensen, Steen Hannestad, Andreas Nygaard +1
Bayesian evidence is a standard tool used for comparing the ability of different models to fit available data and is used extensively in cosmology. However, since the evidence calc…