323 citations · 2.1k across the 45 of their papers we have counts for
3 papers · 1 filter
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…
CONNECT: A neural network based framework for emulating cosmological observables and cosmological parameter inference
Andreas Nygaard, Emil Brinch Holm, Steen Hannestad +1
Bayesian parameter inference is an essential tool in modern cosmology, and typically requires the calculation of -- theoretical models for each inference of model param…