Estimating the impact of recombination uncertainties on the cosmological parameter constraints from cosmic microwave background experiments
J.A. Rubino-Martin, J. Chluba, W.A. Fendt, B.D. Wandelt

TL;DR
This study assesses how uncertainties in the recombination history affect cosmological parameter estimates from Planck CMB data, highlighting potential biases if these uncertainties are neglected.
Contribution
The paper demonstrates that incorporating recombination uncertainties using the RICO code reduces biases in cosmological parameters from Planck data, emphasizing the importance of accurate recombination modeling.
Findings
Planck biases of -0.7, -0.3, -0.4 sigmas for n_S, Omega_b h2, log(As) without recombination corrections
Inclusion of recombination uncertainties reduces biases significantly
Cosmology-independent fudge functions can effectively incorporate corrections
Abstract
[Abridged] We use our most recent training set for the RICO code to estimate the impact of recombination uncertainties on the posterior probability distributions which will be obtained from future CMB experiments, and in particular the Planck satellite. Using a MCMC analysis to sample the posterior distribution of the cosmological parameters, we find that Planck will have biases of -0.7, -0.3 and -0.4 sigmas for n_S, Omega_b h2 and log(As), respectively, in the minimal 6-parameter LCDM model, if the description of the recombination history given by RICO is not used. The remaining parameters are not significantly affected. We also show, that the cosmology dependence of the corrections to the recombination history modeled with RICO has a negligible impact on the posterior distributions obtained for the case of the Planck satellite. In practice, this implies that the inclusion of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
