BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data
BeyondPlanck Collaboration: K. J. Andersen, R. Aurlien, R. Banerji, A., Basyrov, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L. P. L., Colombo, H. K. Eriksen, J. R. Eskilt, M. K. Foss, C. Franceschet, U., Fuskeland, S. Galeotta, M. Galloway, S. Gerakakis, E. Gjerl{\o}w

TL;DR
The BeyondPlanck project develops a comprehensive Bayesian framework for analyzing Planck LFI data, improving uncertainty propagation, modeling, and results consistency with the standard cosmological model, especially in low-$ell$ polarization reconstruction.
Contribution
It introduces a full joint Bayesian analysis approach for Planck LFI data, accounting for complex instrumental effects and providing more complete uncertainty estimates.
Findings
Consistent with the $ m extLambda$CDM model.
Reionization optical depth constrained to $ au=0.066\pm0.013$.
First fully exploited analysis of the 44 GHz channel.
Abstract
We describe the BeyondPlanck project in terms of motivation, methodology and main products, and provide a guide to a set of companion papers that describe each result in fuller detail. We implement a complete end-to-end Bayesian analysis framework for the Planck LFI observations. The primary product is a full joint posterior distribution , where represents the set of all free instrumental, astrophysical, and cosmological parameters. Notable advantages of this approach are seamless end-to-end propagation of uncertainties; accurate modeling of both astrophysical and instrumental effects in the most natural basis for each uncertain quantity; optimized computational costs with little or no need for intermediate human interaction between various analysis steps; and a complete overview of the entire analysis process within one single framework. We focus in particular on…
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