64 citations · 344 across the 18 of their papers we have counts for
4 papers · 1 filter
BeyondPlanck II. CMB map-making through Gibbs sampling
E. Keihänen, A. -S. Suur-Uski, K. J. Andersen +37
We present a Gibbs sampling solution to the map-making problem for CMB measurements, building on existing destriping methodology. Gibbs sampling breaks the computationally heavy de…
BeyondPlanck VII. Bayesian estimation of gain and absolute calibration for CMB experiments
E. Gjerløw, H. T. Ihle, S. Galeotta +35
We present a Bayesian calibration algorithm for CMB observations as implemented within the global end-to-end BeyondPlanck (BP) framework, and apply this to the Planck Low Frequency…
BeyondPlanck VI. Noise characterization and modelling
H. T. Ihle, M. Bersanelli, C. Franceschet +38
We present a Bayesian method for estimating instrumental noise parameters and propagating noise uncertainties within the global BeyondPlanck Gibbs sampling framework, and apply thi…
BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data
BeyondPlanck Collaboration, K. J. Andersen, R. Aurlien +42
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 det…