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20172022
most citedPlanck intermediate results. LVII. Joint Planck LFI and HFI data processing

311 citations · 981 across the 22 of their papers we have counts for

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Showing 2020Show all

7 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★ 147 cited

Planck constraints on the tensor-to-scalar ratio

M. Tristram, A. J. Banday, K. M. Górski +14

We present constraints on the tensor-to-scalar ratio r using Planck data. We use the latest release of Planck maps (PR4), processed with the NPIPE code, which produces calibrated f…

astro-ph.CO2020★ 4 cited

A Monte Carlo comparison between template-based and Wiener-filter CMB dipole estimators

H. Thommesen, K. J. Andersen, R. Aurlien +8

We review and compare two different CMB dipole estimators discussed in the literature, and assess their performances through Monte Carlo simulations. The first method amounts to si…

astro-ph.CO2020★ 311 cited

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

Planck Collaboration, Y. Akrami, K. J. Andersen +136

We present the NPIPE processing pipeline, which produces calibrated frequency maps in temperature and polarization from data from the Planck Low Frequency Instrument (LFI) and High…