11 citations · 22 across the 7 of their papers we have counts for
6 papers · 1 filter
The Role of Big Bang Nucleosynthesis in Joint Cosmological Analyses
Mehmet Akharman, Nicholas DePorzio, Cara Giovanetti +1
We perform joint Baryon Acoustic Oscillation (BAO) + Big Bang Nucleosynthesis (BBN) and BAO+BBN+Cosmic Microwave Background (CMB) analyses with Planck CMB and DESI DR2 BAO data, ex…
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 ,…
A generic tension in early-time solutions to the Hubble tension
Cara Giovanetti
I show that early-time (pre-recombination) solutions to the Hubble tension are generically expected to increase the preferred baryon density . This puts these models in tensio…
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 an analysis-ready code package capturing important effects to linea…
LINX: A Fast, Differentiable, and Extensible Big Bang Nucleosynthesis Package
Cara Giovanetti, Mariangela Lisanti, Hongwan Liu +2
We introduce LINX (Light Isotope Nucleosynthesis with JAX), a new differentiable public Big Bang Nucleosynthesis (BBN) code designed for fast parameter estimation. By leveraging JA…
Cosmological Parameter Estimation with a Joint-Likelihood Analysis of the Cosmic Microwave Background and Big Bang Nucleosynthesis
Cara Giovanetti, Mariangela Lisanti, Hongwan Liu +2
We present the first joint-likelihood analysis of Big Bang Nucleosynthesis (BBN) and Cosmic Microwave Background (CMB) data. Bayesian inference is performed on the baryon abundance…