Kavli Affiliate: Eiichiro Komatsu | Summary:Finding the best parametrization for cosmological models in the absence of first-principle theories is an open question. We propose a data-driven parametrization of cosmological models given by the disentangled ‘latent’ representation of a variational autoencoder (VAE) trained to compress cosmic microwave background (CMB) temperature power spectra. We consider a broad […]
Continue.. $Λ$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum