NPAC (Nuclear/Particle/Astro/Cosmo) Forums |
Organized by: Prof. Lu Lu

The Bayesian Line Intensity Mapping (BayesLIM) project leverages advances in machine learning software and hardware to deliver a comprehensive Bayesian forward model for cosmological intensity mapping experiments. Its goal is to enable the first robust detection of the high redshift 21 cm signal, while faithfully accounting for covariant uncertainties between the signal and contaminants.