activity
20112022
most citedPlanck 2013 results. XVI. Cosmological parameters

6.6k citations · 31.4k across the 122 of their papers we have counts for

collaborators

122 papers

astro-ph.CO2022★ 9 cited

BeyondPlanck X. Planck LFI frequency maps with sample-based error propagation

A. Basyrov, A. -S. Suur-Uski, L. P. L. Colombo +37

We present Planck LFI frequency sky maps derived within the BeyondPlanck framework. This framework draws samples from a global posterior distribution that includes instrumental, as…

astro-ph.CO2022★ 17 cited

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

L. P. L. Colombo, J. R. Eskilt, S. Paradiso +36

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…

astro-ph.CO2022★ 17 cited

BeyondPlanck XII. Cosmological parameter constraints with end-to-end error propagation

S. Paradiso, L. P. L. Colombo, K. J. Andersen +38

We present cosmological parameter constraints as estimated using the Bayesian BeyondPlanck (BP) analysis framework. This method supports seamless end-to-end error propagation from…

astro-ph.IM2022

From BeyondPlanck to Cosmoglobe: Open Science, Reproducibility, and Data Longevity

S. Gerakakis, M. Brilenkov, M. Ieronymaki +39

The BeyondPlanck and Cosmoglobe collaborations have implemented the first integrated Bayesian end-to-end analysis pipeline for CMB experiments. The primary long-term motivation for…

astro-ph.IM2022★ 2 cited

BeyondPlanck V. Minimal ADC Corrections for Planck LFI

D. Herman, R. A. Watson, K. J. Andersen +36

We describe the correction procedure for Analog-to-Digital Converter (ADC) differential non-linearities (DNL) adopted in the Bayesian end-to-end BeyondPlanck analysis framework. Th…

astro-ph.CO2022★ 17 cited

From BeyondPlanck to Cosmoglobe: Preliminary -band analysis

D. J. Watts, M. Galloway, H. T. Ihle +40

We present the first application of the Cosmoglobe analysis framework by analyzing 9-year time-ordered observations using similar machinery as BeyondPlanck utilizes…

astro-ph.CO2022★ 36 cited

BeyondPlanck III. Commander3

M. Galloway, K. J. Andersen, R. Aurlien +35

We describe the computational infrastructure for end-to-end Bayesian CMB analysis implemented by the BeyondPlanck collaboration. This code is called commander3, and provides a stat…

astro-ph.CO2022★ 8 cited

BeyondPlanck VIII. Efficient Sidelobe Convolution and Correction through Spin Harmonics

M. Galloway, M. Reinecke, K. J. Andersen +35

We introduce a new formulation of the Conviqt convolution algorithm in terms of spin harmonics, and apply this to the problem of sidelobe correction for BeyondPlanck, the first end…

astro-ph.CO2022★ 18 cited

BeyondPlanck X. Bandpass and beam leakage corrections

T. L. Svalheim, K. J. Andersen, R. Aurlien +36

We discuss the treatment of bandpass and beam leakage corrections in the Bayesian BeyondPlanck CMB analysis pipeline as applied to the Planck LFI measurements. As a preparatory ste…

astro-ph.CO2022★ 24 cited

BeyondPlanck XIII. Intensity foreground sampling, degeneracies, and priors

K. J. Andersen, D. Herman, R. Aurlien +41

We present the intensity foreground algorithms and model employed within the BeyondPlanck analysis framework. The BeyondPlanck analysis is aimed at integrating component separation…

astro-ph.CO2022★ 12 cited

BeyondPlanck XVI. Limits on Large-Scale Polarized Anomalous Microwave Emission from Planck LFI and WMAP

D. Herman, B. Hensley, K. J. Andersen +35

We constrain the level of polarized anomalous microwave emission (AME) on large angular scales using LFI and polarization data within a Bayesian C…

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.GA2020★ 8 cited

Planck intermediate results. LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources

Planck Collaboration, Y. Akrami, M. Ashdown +117

We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (…

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…

astro-ph.CO2020★ 32 cited

Planck intermediate results. LVI. Detection of the CMB dipole through modulation of the thermal Sunyaev-Zeldovich effect: Eppur si muove II

Planck Collaboration, Y. Akrami, M. Ashdown +126

The largest temperature anisotropy in the cosmic microwave background (CMB) is the dipole, which has been measured with increasing accuracy for more than three decades, particularl…

astro-ph.CO2019★ 1.1k cited

Planck 2018 results. V. CMB power spectra and likelihoods

Planck Collaboration, N. Aghanim, Y. Akrami +165

This paper describes the 2018 Planck CMB likelihoods, following a hybrid approach similar to the 2015 one, with different approximations at low and high multipoles, and implementin…

astro-ph.CO2019★ 495 cited

Planck 2018 results. VII. Isotropy and Statistics of the CMB

Planck Collaboration, Y. Akrami, M. Ashdown +147

Analysis of the Planck 2018 data set indicates that the statistical properties of the cosmic microwave background (CMB) temperature anisotropies are in excellent agreement with pre…

astro-ph.CO2019★ 159 cited

Planck 2018 results. IX. Constraints on primordial non-Gaussianity

Planck Collaboration, Y. Akrami, F. Arroja +157

We analyse the Planck full-mission cosmic microwave background (CMB) temperature and E-mode polarization maps to obtain constraints on primordial non-Gaussianity (NG). We compare e…

astro-ph.CO2019

Beam-deconvolved Planck LFI maps

E. Keihänen, V. Lindholm, M. Lopez-Caniego +3

The Planck Collaboration made its final data release in 2018. In this paper we describe beam-deconvolution map products made from Planck LFI data using the artDeco deconvolution co…

astro-ph.CO2019★ 36 cited

Estimating the galaxy two-point correlation function using a split random catalog

E. Keihänen, H. Kurki-Suonio, V. Lindholm +13

The two-point correlation function of the galaxy distribution is a key cosmological observable that allows us to constrain the dynamical and geometrical state of our Universe. To m…