A variational autoencoder compresses CMB temperature spectra into 5 (LambdaCDM) or 8 (with early dark energy) latent parameters that reconstruct the data within Planck errors and can be constrained with Planck observations.
Efficient Cosmological Parameter Estimation from Microwave Background Anisotropies
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We revisit the issue of cosmological parameter estimation in light of current and upcoming high-precision measurements of the cosmic microwave background power spectrum. Physical quantities which determine the power spectrum are reviewed, and their connection to familiar cosmological parameters is explicated. We present a set of physical parameters, analytic functions of the usual cosmological parameters, upon which the microwave background power spectrum depends linearly (or with some other simple dependence) over a wide range of parameter values. With such a set of parameters, microwave background power spectra can be estimated with high accuracy and negligible computational effort, vastly increasing the efficiency of cosmological parameter error determination. The techniques presented here allow calculation of microwave background power spectra $10^5$ times faster than comparably accurate direct codes (after precomputing a handful of power spectra). We discuss various issues of parameter estimation, including parameter degeneracies, numerical precision, mapping between physical and cosmological parameters, and systematic errors, and illustrate these considerations with an idealized model of the MAP experiment.
citation-role summary
citation-polarity summary
fields
astro-ph.CO 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
unclear 1representative citing papers
citing papers explorer
-
$\Lambda$CDM and early dark energy in latent space: a data-driven parametrization of the CMB temperature power spectrum
A variational autoencoder compresses CMB temperature spectra into 5 (LambdaCDM) or 8 (with early dark energy) latent parameters that reconstruct the data within Planck errors and can be constrained with Planck observations.