BeyondPlanck III. Commander3 Article Swipe
M. Galloway
,
K. J. Andersen
,
R. Aurlien
,
R. Banerji
,
M. Bersanelli
,
S. Bertocco
,
M. Brilenkov
,
M. Carbone
,
L. P. L. Colombo
,
H. K. Eriksen
,
M. K. Foss
,
C. Franceschet
,
U. Fuskeland
,
S. Galeotta
,
S. Gerakakis
,
E. Gjerløw
,
B. Hensley
,
D. Herman
,
M. Iacobellis
,
M. Ieronymaki
,
H. T. Ihle
,
J. B. Jewell
,
A. Karakci
,
E. Keihänen
,
R. Keskitalo
,
G. Maggio
,
D. Maino
,
M. Maris
,
S. Paradiso
,
B. Partridge
,
M. Reinecke
,
A.-S. Suur-Uski
,
T. L. Svalheim
,
D. Tavagnacco
,
H. Thommesen
,
Duncan J. Watts
,
I. K. Wehus
,
A. Zacchei
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2201.03509
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2201.03509
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 statistically consistent framework for global analysis of CMB and microwave observations, and may be useful for a wide range of legacy, current, and future experiments. The paper has three main goals. Firstly, we provide a high-level overview of the existing code base, aiming to guide readers who wish to extend and adapt the code according to their own needs, or to reimplement it from scratch in a different programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance in-memory compression of time-ordered data, FFT optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BeyondPlanck analysis, and find that a total of 1.5 TB of RAM is required for efficient analysis, and the total cost of a full Gibbs sample is 170 CPU-hrs, including both low-level processing and high-level component separation, which is well within the capabilities of current low-cost computing facilities. The existing code base is made publicly available under a GNU General Public Library (GPL) license.
Related Topics
Concepts
Computer science
License
Code (set theory)
CUDA
Gibbs sampling
Supercomputer
Base (topology)
Fast Fourier transform
Parallel computing
Source code
Computer engineering
Programming language
Bayesian probability
Operating system
Algorithm
Set (abstract data type)
Mathematical analysis
Artificial intelligence
Mathematics
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.48550/arxiv.2201.03509
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4311213311
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4311213311Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2201.03509Digital Object Identifier
- Title
-
BeyondPlanck III. Commander3Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-01-10Full publication date if available
- Authors
-
M. Galloway, K. J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L. P. L. Colombo, H. K. Eriksen, M. K. Foss, C. Franceschet, U. Fuskeland, S. Galeotta, S. Gerakakis, E. Gjerløw, B. Hensley, D. Herman, M. Iacobellis, M. Ieronymaki, H. T. Ihle, J. B. Jewell, A. Karakci, E. Keihänen, R. Keskitalo, G. Maggio, D. Maino, M. Maris, S. Paradiso, B. Partridge, M. Reinecke, A.-S. Suur-Uski, T. L. Svalheim, D. Tavagnacco, H. Thommesen, Duncan J. Watts, I. K. Wehus, A. ZaccheiList of authors in order
- Landing page
-
https://doi.org/10.48550/arxiv.2201.03509Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.48550/arxiv.2201.03509Direct OA link when available
- Concepts
-
Computer science, License, Code (set theory), CUDA, Gibbs sampling, Supercomputer, Base (topology), Fast Fourier transform, Parallel computing, Source code, Computer engineering, Programming language, Bayesian probability, Operating system, Algorithm, Set (abstract data type), Mathematical analysis, Artificial intelligence, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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