36 citations · 266 across the 32 of their papers we have counts for
13 papers · 1 filter
BeyondPlanck IV. On end-to-end simulations in CMB analysis -- Bayesian versus frequentist statistics
M. Brilenkov, K. S. F. Fornazier, L. T. Hergt +48
End-to-end simulations play a key role in the analysis of any high-sensitivity CMB experiment, providing high-fidelity systematic error propagation capabilities unmatched by any ot…
Rosetta: a container-centric science platform for resource-intensive, interactive data analysis
Stefano Alberto Russo, Sara Bertocco, Claudio Gheller +1
Rosetta is a science platform for resource-intensive, interactive data analysis which runs user tasks as software containers. It is built on top of a novel architecture based on fr…
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…
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…
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…
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…