English

BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation

Cosmology and Nongalactic Astrophysics 2023-06-28 v1

Abstract

We present posterior sample-based cosmic microwave background (CMB) constraints from Planck LFI and WMAP observations derived through global end-to-end Bayesian processing. We use these samples to study correlations between CMB, foreground, and instrumental parameters, and we identify a particularly strong degeneracy between CMB temperature fluctuations and free-free emission on intermediate angular scales, which is mitigated through model reduction, masking, and resampling. We compare our posterior-based CMB results with previous Planck products, and find generally good agreement, but with higher noise due to exclusion of HFI data. We find a best-fit CMB dipole amplitude of 3362.7±1.4μK3362.7\pm1.4{\mu}K, in excellent agreement with previous Planck results. The quoted uncertainty is derived directly from the sampled posterior distribution, and does not involve any ad hoc contribution for systematic effects. Similarly, we find a temperature quadrupole amplitude of σ2TT=229±97μK2\sigma^{TT}_2=229\pm97{\mu}K^2, in good agreement with previous results in terms of the amplitude, but the uncertainty is an order of magnitude larger than the diagonal Fisher uncertainty. Relatedly, we find lower evidence for a possible alignment between =2\ell = 2 and =3\ell = 3 than previously reported due to a much larger scatter in the individual quadrupole coefficients, caused both by marginalizing over a more complete set of systematic effects, and by our more conservative analysis mask. For higher multipoles, we find that the angular temperature power spectrum is generally in good agreement with both Planck and WMAP. This is the first time the sample-based asymptotically exact Blackwell-Rao estimator has been successfully established for multipoles up to 600\ell\le600, and it now accounts for the majority of the cosmologically important information. Cosmological parameter constraints are presented in a companion paper. (Abriged)

Keywords

Cite

@article{arxiv.2208.14276,
  title  = {BeyondPlanck XI. Bayesian CMB analysis with sample-based end-to-end error propagation},
  author = {L. P. L. Colombo and J. R. Eskilt and S. Paradiso and H. Thommesen and K. J. Andersen and R. Aurlien and R. Banerji and M. Bersanelli and S. Bertocco and M. Brilenkov and M. Carbone and H. K. Eriksen and M. K. Foss and C. Franceschet and U. Fuskeland and S. Galeotta and M. Galloway and S. Gerakakis and E. Gjerløw and B. Hensley and D. Herman and M. Iacobellis and M. Ieronymaki and H. T. Ihle and J. B. Jewell and A. Karakci and E. Keihänen and R. Keskitalo and G. Maggio and D. Maino and M. Maris and B. Partridge and M. Reinecke and A. -S. Suur-Uski and T. L. Svalheim and D. Tavagnacco and D. J. Watts and I. K. Wehus and A. Zacchei},
  journal= {arXiv preprint arXiv:2208.14276},
  year   = {2023}
}

Comments

26 pages, 24 figures. Submitted to A&A. Part of the BeyondPlanck paper suite

R2 v1 2026-06-28T00:24:29.755Z