We describe the computational infrastructure for end-to-end Bayesian Cosmic Microwave Background (CMB) analysis implemented by the BeyondPlanck collaboration. The code is called Commander3. It 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 re-implement it from scratch in a di erent programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance inmemory compression of time-ordered data, fast Fourier transform optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BeyondPlanck analysis, finding that a total of 1.5 TB of RAM is required for e cient analysis and that the total cost of a full Gibbs sample for LFI 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.

BeyondPlanck. III. Commander3 / M. Galloway, K.J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L.P.L. Colombo, H.K. Eriksen, J.R. Eskilt, 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, A. Mennella, S. Paradiso, B. Partridge, M. Reinecke, M. San, A.-. Suur-Uski, T.L. Svalheim, D. Tavagnacco, H. Thommesen, D.J. Watts, I.K. Wehus, A. Zacchei. - In: ASTRONOMY & ASTROPHYSICS. - ISSN 0004-6361. - EDP Sciences:(2023), pp. 1-17. [Epub ahead of print] [10.1051/0004-6361/202243137]

BeyondPlanck. III. Commander3

M. Bersanelli;L.P.L. Colombo;C. Franceschet;D. Maino;A. Mennella;S. Paradiso;
2023

Abstract

We describe the computational infrastructure for end-to-end Bayesian Cosmic Microwave Background (CMB) analysis implemented by the BeyondPlanck collaboration. The code is called Commander3. It 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 re-implement it from scratch in a di erent programming language. Secondly, we discuss some critical computational challenges that arise within any global CMB analysis framework, for instance inmemory compression of time-ordered data, fast Fourier transform optimization, and parallelization and load-balancing. Thirdly, we quantify the CPU and RAM requirements for the current BeyondPlanck analysis, finding that a total of 1.5 TB of RAM is required for e cient analysis and that the total cost of a full Gibbs sample for LFI 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.
English
Cosmology: observations, polarization, cosmic microwave background — Methods: data analysis, statistical
Settore FIS/05 - Astronomia e Astrofisica
Articolo
Esperti anonimi
Pubblicazione scientifica
2023
29-mar-2022
EDP Sciences
1
17
17
Epub ahead of print
Periodico con rilevanza internazionale
crossref
Aderisco
info:eu-repo/semantics/article
BeyondPlanck. III. Commander3 / M. Galloway, K.J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L.P.L. Colombo, H.K. Eriksen, J.R. Eskilt, 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, A. Mennella, S. Paradiso, B. Partridge, M. Reinecke, M. San, A.-. Suur-Uski, T.L. Svalheim, D. Tavagnacco, H. Thommesen, D.J. Watts, I.K. Wehus, A. Zacchei. - In: ASTRONOMY & ASTROPHYSICS. - ISSN 0004-6361. - EDP Sciences:(2023), pp. 1-17. [Epub ahead of print] [10.1051/0004-6361/202243137]
open
Prodotti della ricerca::01 - Articolo su periodico
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Article (author)
Periodico con Impact Factor
M. Galloway, K.J. Andersen, R. Aurlien, R. Banerji, M. Bersanelli, S. Bertocco, M. Brilenkov, M. Carbone, L.P.L. Colombo, H.K. Eriksen, J.R. Eskilt, 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, A. Mennella, S. Paradiso, B. Partridge, M. Reinecke, M. San, A.-. Suur-Uski, T.L. Svalheim, D. Tavagnacco, H. Thommesen, D.J. Watts, I.K. Wehus, A. Zacchei
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/945591
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