A data-driven prediction for the primordial deuterium abundance - Hongwan Liu, Boston U.

The primordial deuterium abundance D/H from Big Bang Nucleosynthesis (BBN) is one of the most powerful probes of ΛCDM cosmology and its extensions. I will present a novel, fully data-driven method for predicting D/H using Gaussian processes, validated with Monte Carlo tests that confirm negligible bias and accurate coverage of the resulting uncertainties. Applying the same Monte Carlo framework to polynomial fitting methods commonly used in the literature, we find that these systematically overestimate D/H. Assuming baryon abundances from CMB measurements, our predictions are approximately 2σ discrepant with observations of the primordial D/H.

Видео A data-driven prediction for the primordial deuterium abundance - Hongwan Liu, Boston U. канала UW-Madison HEP Theory and Cosmology Seminar