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20012023
most citedBeyondPlanck III. Commander3

36 citations · 266 across the 32 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

astro-ph.CO2020★ 6 cited

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…

astro-ph.CO2020★ 2 cited

BeyondPlanck XV. Polarized foreground emission between 30 and 70 GHz

T. L. Svalheim, K. J. Andersen, R. Aurlien +35

We constrain polarized foreground emission between 30 and 70 GHz with the Planck Low Frequency Instrument (LFI) and WMAP data within the global Bayesian BeyondPlanck framework. We…

astro-ph.CO2020★ 19 cited

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…

astro-ph.CO2020★ 16 cited

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…

astro-ph.CO2020★ 27 cited

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…

astro-ph.IM2020

Performance and energy footprint assessment of FPGAs and GPUs on HPC systems using Astrophysics application

David Goz, Georgios Ieronymakis, Vassilis Papaefstathiou +7

New challenges in Astronomy and Astrophysics (AA) are urging the need for a large number of exceptionally computationally intensive simulations. "Exascale" (and beyond) computation…