2 papers
astro-ph.CO2026
A data-driven prediction for the primordial deuterium abundance
Timothy Launders, Cara Giovanetti, Hongwan Liu
We predict the primordial deuterium abundance using a novel, fully data-driven approach, where we use Gaussian process regression to fit experimental nuclear reaction data for ,…
astro-ph.CO2026
ABCMB: A Python+JAX Package for the Cosmic Microwave Background Power Spectrum
Zilu Zhou, Cara Giovanetti, Hongwan Liu
We present ABCMB, a differentiable Einstein-Boltzmann solver for the cosmic microwave background (CMB). ABCMB is a complete code capturing important effects to linear order in $Λ{\…