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 range of ΛCDM and...
Searches for neutrino isocurvature usually constrain a specific linear combination of isocurvature perturbations. In this talk, realistic cosmological scenarios giving rise to neutrino isocurvature are discussed. We show that in general both, neutrino and matter isocurvature perturbations are generated, whose ratio we parameterise by a newly introduced mixing angle. We obtain the first limits...
Gravitational lensing of the Cosmic Microwave Background is a very valuable cosmological signal, detected at very high significance by several experiments, and its SNR is expected to increase by a factor of 10 or so in the next decade.
At the same time, it has also become an hindrance to some important science goals of CMB experiments, most notably for best constraints on a primordial...
